Transfer Learning in Recommender Systems
暂无分享,去创建一个
[1] Paul Covington,et al. Deep Neural Networks for YouTube Recommendations , 2016, RecSys.
[2] Mehryar Mohri,et al. Adaptation Algorithm and Theory Based on Generalized Discrepancy , 2014, KDD.
[3] Oriol Vinyals,et al. Multilingual Language Processing From Bytes , 2015, NAACL.
[4] Trevor Cohn,et al. Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser , 2015, ACL.
[5] Ian Goodfellow,et al. Deep Learning with Differential Privacy , 2016, CCS.
[6] Andrew Zisserman,et al. Tabula rasa: Model transfer for object category detection , 2011, 2011 International Conference on Computer Vision.
[7] Anand D. Sarwate,et al. Differentially Private Empirical Risk Minimization , 2009, J. Mach. Learn. Res..
[8] Trevor Darrell,et al. Adversarial Feature Learning , 2016, ICLR.
[9] Jan Niehues,et al. Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning , 2017, WMT.
[10] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[11] Philip S. Yu,et al. Stratified Transfer Learning for Cross-domain Activity Recognition , 2017, 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[12] Joshua B. Tenenbaum,et al. Human-level concept learning through probabilistic program induction , 2015, Science.
[13] Quan Pan,et al. Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Anton Schwaighofer,et al. Learning Gaussian Process Kernels via Hierarchical Bayes , 2004, NIPS.
[15] Hannaneh Hajishirzi,et al. Question Answering through Transfer Learning from Large Fine-grained Supervision Data , 2017, ACL.
[16] Tinne Tuytelaars,et al. Subspace Alignment Based Domain Adaptation for RCNN Detector , 2015, BMVC.
[17] Alessandro Lazaric,et al. Transfer in Reinforcement Learning: A Framework and a Survey , 2012, Reinforcement Learning.
[18] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[19] Qiang Yang,et al. Transfer learning in heterogeneous collaborative filtering domains , 2013, Artif. Intell..
[20] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[21] Yongxin Yang,et al. Deeper, Broader and Artier Domain Generalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[22] ChengXiang Zhai,et al. Cross-Lingual Latent Topic Extraction , 2010, ACL.
[23] Paul Thagard,et al. A computational model of analogical problem solving , 1989 .
[24] Andreas Haeberlen,et al. Practical robust localization over large-scale 802.11 wireless networks , 2004, MobiCom '04.
[25] Avishek Saha,et al. Online Learning of Multiple Tasks and Their Relationships , 2011, AISTATS.
[26] Matthew Henderson,et al. Discriminative spoken language understanding using word confusion networks , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).
[27] Bruno Castro da Silva,et al. Learning Parameterized Skills , 2012, ICML.
[28] Trevor Darrell,et al. Simultaneous Deep Transfer Across Domains and Tasks , 2015, ICCV.
[29] Rich Caruana,et al. Multitask Learning , 1997, Machine Learning.
[30] Roger C. Tam,et al. Manifold Learning of Brain MRIs by Deep Learning , 2013, MICCAI.
[31] Wei Chu,et al. A contextual-bandit approach to personalized news article recommendation , 2010, WWW '10.
[32] Nicu Sebe,et al. Where am I in the dark: Exploring active transfer learning on the use of indoor localization based on thermal imaging , 2016, Neurocomputing.
[33] Mikkel Baun Kjærgaard,et al. Hyperbolic Location Fingerprinting: A Calibration-Free Solution for Handling Differences in Signal Strength (concise contribution) , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).
[34] Shai Ben-David,et al. Multi-task and Lifelong Learning of Kernels , 2015, ALT.
[35] Lei Han,et al. Multi-Stage Multi-Task Learning with Reduced Rank , 2016, AAAI.
[36] Hwee Tou Ng,et al. Domain adaptation for semantic role labeling in the biomedical domain , 2010, Bioinform..
[37] G. Recanzone. Interactions of auditory and visual stimuli in space and time , 2009, Hearing Research.
[38] Dong Liu,et al. Tag ranking , 2009, WWW '09.
[39] YangJian,et al. Globally Maximizing, Locally Minimizing , 2007 .
[40] Moni Naor,et al. Our Data, Ourselves: Privacy Via Distributed Noise Generation , 2006, EUROCRYPT.
[41] Antonio Torralba,et al. Generating Videos with Scene Dynamics , 2016, NIPS.
[42] Ronald M. Summers,et al. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning , 2016, IEEE Transactions on Medical Imaging.
[43] Lawrence Carin,et al. Logistic regression with an auxiliary data source , 2005, ICML.
[44] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[45] Shai Ben-David,et al. Exploiting Task Relatedness for Mulitple Task Learning , 2003, COLT.
[46] Andrei Popescu-Belis,et al. Multilingual Hierarchical Attention Networks for Document Classification , 2017, IJCNLP.
[47] Yu Zhang,et al. End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification , 2017, IJCAI.
[48] Qian Xu,et al. Probabilistic Multi-Task Feature Selection , 2010, NIPS.
[49] Trevor Darrell,et al. Sequence to Sequence -- Video to Text , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[50] Bernhard Schölkopf,et al. Correcting Sample Selection Bias by Unlabeled Data , 2006, NIPS.
[51] Stefano Ermon,et al. Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping , 2015, AAAI.
[52] Anders Søgaard,et al. Deep multi-task learning with low level tasks supervised at lower layers , 2016, ACL.
[53] Qiang Yang,et al. Distant Domain Transfer Learning , 2017, AAAI.
[54] Gabriela Csurka,et al. A Comprehensive Survey on Domain Adaptation for Visual Applications , 2017, Domain Adaptation in Computer Vision Applications.
[55] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.
[56] Marilyn A. Walker,et al. Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation , 2008, ACL.
[57] Andreas Maurer,et al. Bounds for Linear Multi-Task Learning , 2006, J. Mach. Learn. Res..
[58] Xiaodong Liu,et al. Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval , 2015, NAACL.
[59] Qiang Yang,et al. Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning , 2007, AAAI.
[60] Qiang Yang,et al. MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study , 2009, BMC Bioinformatics.
[61] Yizhou Yu,et al. Folding membrane proteins by deep transfer learning , 2017, bioRxiv.
[62] E. Thorndike,et al. The influence of improvement in one mental function upon the efficiency of other functions. II. The estimation of magnitudes. , 1901 .
[63] Xiao-Lei Zhang,et al. Convex Discriminative Multitask Clustering , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[64] Xin Wang,et al. Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation , 2015, Knowl. Based Syst..
[65] Qiang Yang,et al. Transfer Learning for Behavior Ranking , 2017, ACM Trans. Intell. Syst. Technol..
[66] T. Trabasso,et al. Transitive Inferences and Memory in Young Children , 1971, Nature.
[67] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[68] ChengXiang Zhai,et al. Instance Weighting for Domain Adaptation in NLP , 2007, ACL.
[69] Andreas Maurer,et al. Transfer bounds for linear feature learning , 2009, Machine Learning.
[70] Geoffrey Zweig,et al. Recurrent neural networks for language understanding , 2013, INTERSPEECH.
[71] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[72] Dit-Yan Yeung,et al. Learning High-Order Task Relationships in Multi-Task Learning , 2013, IJCAI.
[73] Ali Farhadi,et al. Bidirectional Attention Flow for Machine Comprehension , 2016, ICLR.
[74] Qiang Yang,et al. Heterogeneous Transfer Learning for Image Clustering via the SocialWeb , 2009, ACL.
[75] Andreas Hotho,et al. The social distributional hypothesis: a pragmatic proxy for homophily in online social networks , 2014, Social Network Analysis and Mining.
[76] Geoffrey E. Hinton,et al. Zero-shot Learning with Semantic Output Codes , 2009, NIPS.
[77] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[78] David Vandyke,et al. Policy committee for adaptation in multi-domain spoken dialogue systems , 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
[79] Matthew Richardson,et al. Markov logic networks , 2006, Machine Learning.
[80] Richard Socher,et al. Learned in Translation: Contextualized Word Vectors , 2017, NIPS.
[81] Dongho Kim,et al. Incremental on-line adaptation of POMDP-based dialogue managers to extended domains , 2014, INTERSPEECH.
[82] Minghua Chen,et al. Predicting positive and negative links in signed social networks by transfer learning , 2013, WWW.
[83] Gábor Lugosi,et al. Online Multi-task Learning with Hard Constraints , 2009, COLT.
[84] Koby Crammer,et al. Learning Multiple Tasks using Shared Hypotheses , 2012, NIPS.
[85] Isabelle Guyon,et al. Taking Human out of Learning Applications: A Survey on Automated Machine Learning , 2018, 1810.13306.
[86] Adam Coates,et al. Deep Voice: Real-time Neural Text-to-Speech , 2017, ICML.
[87] Janet L. Kolodner,et al. Case-Based Reasoning , 1989, IJCAI 1989.
[88] Runze Li,et al. Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery , 2006, math/0602133.
[89] Yang Gao,et al. Measuring the Distance Between Finite Markov Decision Processes , 2016, AAMAS.
[90] Gerhard Weiss,et al. Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping , 2011, EUMAS.
[91] Steve J. Young,et al. Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems , 2010, Comput. Speech Lang..
[92] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[93] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[94] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[95] Christopher D. Manning,et al. Baselines and Bigrams: Simple, Good Sentiment and Topic Classification , 2012, ACL.
[96] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[97] Sinno Jialin Pan,et al. Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay , 2017, AAAI.
[98] Massimiliano Pontil,et al. Taking Advantage of Sparsity in Multi-Task Learning , 2009, COLT.
[99] Qiang Yang,et al. Transfer Learning by Structural Analogy , 2011, AAAI.
[100] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[101] Guojie Song,et al. Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework , 2014, AAAI.
[102] Daniel Roggen,et al. Recognition of visual memory recall processes using eye movement analysis , 2011, UbiComp '11.
[103] Qiang Yang,et al. Transferring Localization Models across Space , 2008, AAAI.
[104] Neil Houlsby,et al. Transfer Learning with Neural AutoML , 2018, NeurIPS.
[105] Anders Søgaard,et al. Cross-lingual and cross-domain discourse segmentation of entire documents , 2017, ACL.
[106] David Vandyke,et al. Multi-domain Neural Network Language Generation for Spoken Dialogue Systems , 2016, NAACL.
[107] Qiang Yang,et al. Translated Learning: Transfer Learning across Different Feature Spaces , 2008, NIPS.
[108] Andrew Y. Ng,et al. Zero-Shot Learning Through Cross-Modal Transfer , 2013, NIPS.
[109] Roi Reichart,et al. Pivot Based Language Modeling for Improved Neural Domain Adaptation , 2018, NAACL.
[110] Jieping Ye,et al. A convex formulation for learning shared structures from multiple tasks , 2009, ICML '09.
[111] Doina Precup,et al. Metrics for Finite Markov Decision Processes , 2004, AAAI.
[112] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[113] Léon Bottou,et al. Towards Principled Methods for Training Generative Adversarial Networks , 2017, ICLR.
[114] Romain Laroche,et al. Transfer Reinforcement Learning with Shared Dynamics , 2017, AAAI.
[115] Wynne Hsu,et al. Mining association rules with multiple minimum supports , 1999, KDD '99.
[116] Raymond J. Mooney,et al. Active Multitask Learning Using Both Latent and Supervised Shared Topics , 2014, SDM.
[117] Bing Liu,et al. Mining and summarizing customer reviews , 2004, KDD.
[118] Kai Zhao,et al. Cross-domain Recommendation Without Sharing User-relevant Data , 2019, WWW.
[119] Zhou Yu,et al. Discriminative coupled dictionary hashing for fast cross-media retrieval , 2014, SIGIR.
[120] Jia Chen,et al. Visual Contextual Advertising: Bringing Textual Advertisements to Images , 2010, AAAI.
[121] Masashi Sugiyama,et al. Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation , 2009, J. Inf. Process..
[122] Qiang Yang,et al. Transferring Multi-device Localization Models using Latent Multi-task Learning , 2008, AAAI.
[123] Alessandro Lazaric,et al. Bayesian Multi-Task Reinforcement Learning , 2010, ICML.
[124] Trevor Darrell,et al. Efficient Learning of Domain-invariant Image Representations , 2013, ICLR.
[125] Thomas S. Huang,et al. Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.
[126] Andreas Maurer,et al. The Rademacher Complexity of Linear Transformation Classes , 2006, COLT.
[127] Gary D. Bader,et al. Transfer learning for biomedical named entity recognition with neural networks , 2018, bioRxiv.
[128] Hui Li,et al. Semisupervised Multitask Learning , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[129] Ivor W. Tsang,et al. Visual Event Recognition in Videos by Learning from Web Data , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[130] Hal Daumé,et al. Learning Task Grouping and Overlap in Multi-task Learning , 2012, ICML.
[131] Jieping Ye,et al. Robust multi-task feature learning , 2012, KDD.
[132] Paul Tseng,et al. Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning , 2010, SIAM J. Optim..
[133] Bernt Schiele,et al. A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.
[134] Bernt Schiele,et al. What helps where – and why? Semantic relatedness for knowledge transfer , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[135] M. M. Hassan Mahmud,et al. Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations , 2007, NIPS.
[136] Graham Neubig,et al. Learning Language Representations for Typology Prediction , 2017, EMNLP.
[137] Lars Kotthoff,et al. Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA , 2017, J. Mach. Learn. Res..
[138] Peter Stone,et al. Improving Action Selection in MDP's via Knowledge Transfer , 2005, AAAI.
[139] Jingrui He,et al. A Graphbased Framework for Multi-Task Multi-View Learning , 2011, ICML.
[140] Qiang Yang,et al. Transfer Learning in Collaborative Filtering for Sparsity Reduction , 2010, AAAI.
[141] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[142] Peter Robinson,et al. Learning an appearance-based gaze estimator from one million synthesised images , 2016, ETRA.
[143] Ali Jalali,et al. A Dirty Model for Multi-task Learning , 2010, NIPS.
[144] Qiang Yang,et al. Domain-constrained semi-supervised mining of tracking models in sensor networks , 2007, KDD '07.
[145] Milica Gasic,et al. Spoken language understanding from unaligned data using discriminative classification models , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[146] Qiang Yang,et al. Protein-protein interaction prediction via Collective Matrix Factorization , 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[147] Heidi Christensen,et al. Knowledge transfer between speakers for personalised dialogue management , 2015, SIGDIAL Conference.
[148] Rama Chellappa,et al. Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[149] Alan W. Biermann,et al. Speech-Graphics Dialogue Systems , 1997, Real Applications@ACL/EACL.
[150] Ken Perlin,et al. Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks , 2014, ACM Trans. Graph..
[151] Sivaraman Balakrishnan,et al. Optimal kernel choice for large-scale two-sample tests , 2012, NIPS.
[152] Eamonn J. Keogh,et al. Scaling up dynamic time warping for datamining applications , 2000, KDD '00.
[153] Shih-Fu Chang,et al. Cross-domain learning methods for high-level visual concept classification , 2008, 2008 15th IEEE International Conference on Image Processing.
[154] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[155] David Vandyke,et al. Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems , 2015, EMNLP.
[156] Boi Faltings,et al. Personalization in Goal-Oriented Dialog , 2017, ArXiv.
[157] Cynthia Dwork,et al. Differential Privacy: A Survey of Results , 2008, TAMC.
[158] Latanya Sweeney,et al. k-Anonymity: A Model for Protecting Privacy , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[159] Hyunsoo Kim,et al. Learning to Discover Cross-Domain Relations with Generative Adversarial Networks , 2017, ICML.
[160] Lubomir M. Hadjiiski,et al. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography. , 2016, Medical physics.
[161] Zhong Ming,et al. Transfer Learning for Heterogeneous One-Class Collaborative Filtering , 2016, IEEE Intelligent Systems.
[162] Kenneth D. Forbus,et al. Transfer Learning through Analogy in Games , 2011, AI Mag..
[163] Xu Chen,et al. Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources , 2017, CIKM.
[164] Andrew Y. Ng,et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning , 2017, ArXiv.
[165] Qiang Yang,et al. Action-model acquisition for planning via transfer learning , 2014, Artif. Intell..
[166] Murat Dundar,et al. An Improved Multi-task Learning Approach with Applications in Medical Diagnosis , 2008, ECML/PKDD.
[167] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[168] Wenwu Zhu,et al. Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation , 2018, AAAI.
[169] Kristen Grauman,et al. Learning with Whom to Share in Multi-task Feature Learning , 2011, ICML.
[170] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[171] Philip S. Yu,et al. Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation , 2010, 2010 IEEE International Conference on Data Mining.
[172] Doina Precup,et al. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..
[173] Marc'Aurelio Ranzato,et al. DeViSE: A Deep Visual-Semantic Embedding Model , 2013, NIPS.
[174] Samuel R. Bowman,et al. Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning , 2017, ArXiv.
[175] Masashi Sugiyama,et al. Multi-Task Learning via Conic Programming , 2007, NIPS.
[176] Marilyn A. Walker,et al. Reinforcement Learning for Spoken Dialogue Systems , 1999, NIPS.
[177] Claudio Gentile,et al. Linear Algorithms for Online Multitask Classification , 2010, COLT.
[178] Brian B. Avants,et al. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) , 2015, IEEE Transactions on Medical Imaging.
[179] Apostol Natsev,et al. YouTube-8M: A Large-Scale Video Classification Benchmark , 2016, ArXiv.
[180] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[181] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[182] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[183] Marie desJardins,et al. Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes , 2015, IJCAI.
[184] Daniel S. Kermany,et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning , 2018, Cell.
[185] Giuseppe De Nicolao,et al. Bayesian Online Multitask Learning of Gaussian Processes , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[186] Joelle Pineau,et al. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models , 2015, AAAI.
[187] Vitaly Shmatikov,et al. Privacy-preserving deep learning , 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[188] Arthur B. Markman,et al. Analogy just looks like high level perception: why a domain-general approach to analogical mapping is right , 1998, J. Exp. Theor. Artif. Intell..
[189] Barbara Caputo,et al. Safety in numbers: Learning categories from few examples with multi model knowledge transfer , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[190] Svetha Venkatesh,et al. Nonnegative shared subspace learning and its application to social media retrieval , 2010, KDD.
[191] Kilian Q. Weinberger,et al. Gradient boosted feature selection , 2014, KDD.
[192] Eric Eaton,et al. Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment , 2015, AAAI.
[193] Dit-Yan Yeung,et al. A Regularization Approach to Learning Task Relationships in Multitask Learning , 2014, ACM Trans. Knowl. Discov. Data.
[194] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[195] Sebastian Nowozin,et al. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization , 2016, NIPS.
[196] Philip M. Long,et al. Online Learning of Multiple Tasks with a Shared Loss , 2007, J. Mach. Learn. Res..
[197] André Elisseeff,et al. Stability and Generalization , 2002, J. Mach. Learn. Res..
[198] Marcus Rohrbach,et al. Translating Videos to Natural Language Using Deep Recurrent Neural Networks , 2014, NAACL.
[199] Ivor W. Tsang,et al. Learning with Augmented Features for Heterogeneous Domain Adaptation , 2012, ICML.
[200] Jintao Zhang,et al. Inductive multi-task learning with multiple view data , 2012, KDD.
[201] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[202] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[203] Jianmin Wang,et al. Transfer Learning with Graph Co-Regularization , 2012, IEEE Transactions on Knowledge and Data Engineering.
[204] Dit-Yan Yeung,et al. Multilabel relationship learning , 2013, TKDD.
[205] Qiang Yang,et al. SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies , 2009, Bioinform..
[206] Daniel Hernández-Lobato,et al. Learning Feature Selection Dependencies in Multi-task Learning , 2013, NIPS.
[207] Zaher Dawy,et al. A new multitask learning method for multiorganism gene network estimation , 2008, 2008 IEEE International Symposium on Information Theory.
[208] Gary Geunbae Lee,et al. Multi-domain spoken language understanding with transfer learning , 2009, Speech Commun..
[209] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[210] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[211] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[212] Hao Chen,et al. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss , 2018, IJCAI.
[213] Koby Crammer,et al. Learning Bounds for Domain Adaptation , 2007, NIPS.
[214] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[215] Tom Heskes,et al. Task Clustering and Gating for Bayesian Multitask Learning , 2003, J. Mach. Learn. Res..
[216] Jeff G. Schneider,et al. Generalization Bounds for Transfer Learning under Model Shift , 2015, UAI.
[217] Ivor W. Tsang,et al. Heterogeneous Domain Adaptation for Multiple Classes , 2014, AISTATS.
[218] Bernhard Hengst,et al. Discovering Hierarchy in Reinforcement Learning with HEXQ , 2002, ICML.
[219] Daniel Hernández-Lobato,et al. A Probabilistic Model for Dirty Multi-task Feature Selection , 2015, ICML.
[220] Heng Ji,et al. Incremental Joint Extraction of Entity Mentions and Relations , 2014, ACL.
[221] Xiaoqian Jiang,et al. Differentially private distributed logistic regression using private and public data , 2014, BMC Medical Genomics.
[222] Xiaolong Jin,et al. Cross-Domain Recommendation: An Embedding and Mapping Approach , 2017, IJCAI.
[223] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[224] Rong Yan,et al. Cross-domain video concept detection using adaptive svms , 2007, ACM Multimedia.
[225] Gunnar Rätsch,et al. Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation , 2011, NIPS.
[226] Christos Davatzikos,et al. Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features , 2017, Scientific Data.
[227] Yoshua Bengio,et al. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.
[228] Peter Stone,et al. Behavior transfer for value-function-based reinforcement learning , 2005, AAMAS '05.
[229] Wanxiang Che,et al. A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks , 2016, COLING.
[230] Tom Schaul,et al. Successor Features for Transfer in Reinforcement Learning , 2016, NIPS.
[231] Eric P. Xing,et al. Multi-population GWA mapping via multi-task regularized regression , 2010, Bioinform..
[232] Raymond J. Mooney,et al. Transfer Learning by Mapping with Minimal Target Data , 2008 .
[233] Jian Pei,et al. Parallel field alignment for cross media retrieval , 2013, ACM Multimedia.
[234] Didier Stricker,et al. Introducing a New Benchmarked Dataset for Activity Monitoring , 2012, 2012 16th International Symposium on Wearable Computers.
[235] Concha Bielza,et al. Machine Learning in Bioinformatics , 2008, Encyclopedia of Database Systems.
[236] Geoffrey Zweig,et al. Spoken language understanding using long short-term memory neural networks , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[237] Philip S. Yu,et al. Transfer across Completely Different Feature Spaces via Spectral Embedding , 2013, IEEE Transactions on Knowledge and Data Engineering.
[238] Lihong Li,et al. Sample Complexity of Multi-task Reinforcement Learning , 2013, UAI.
[239] Eunho Yang,et al. Asymmetric multi-task learning based on task relatedness and loss , 2016, ICML 2016.
[240] Ben Taskar,et al. Joint covariate selection and joint subspace selection for multiple classification problems , 2010, Stat. Comput..
[241] Ruslan Salakhutdinov,et al. Multi-Task Cross-Lingual Sequence Tagging from Scratch , 2016, ArXiv.
[242] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[243] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[244] Christoph H. Lampert,et al. Lifelong Learning with Non-i.i.d. Tasks , 2015, NIPS.
[245] Gerhard Tröster,et al. Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography , 2009, Pervasive.
[246] Eric Eaton,et al. ELLA: An Efficient Lifelong Learning Algorithm , 2013, ICML.
[247] Kevin D. Ashley. Reasoning with Cases and Hypotheticals in HYPO , 1991, Int. J. Man Mach. Stud..
[248] Jieping Ye,et al. Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis , 2020, IEEE Transactions on Big Data.
[249] Dit-Yan Yeung,et al. A Convex Formulation for Learning Task Relationships in Multi-Task Learning , 2010, UAI.
[250] Rama Chellappa,et al. Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[251] Roi Reichart,et al. Neural Structural Correspondence Learning for Domain Adaptation , 2016, CoNLL.
[252] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[253] Cynthia Dwork,et al. Calibrating Noise to Sensitivity in Private Data Analysis , 2006, TCC.
[254] Xing Fan,et al. Transfer Learning for Neural Semantic Parsing , 2017, Rep4NLP@ACL.
[255] H. Robbins,et al. Asymptotically efficient adaptive allocation rules , 1985 .
[256] Larry A. Wasserman,et al. Union Support Recovery in Multi-task Learning , 2010, J. Mach. Learn. Res..
[257] Jiahui Liu,et al. Personalized news recommendation based on click behavior , 2010, IUI '10.
[258] A. Valencia,et al. Text-mining and information-retrieval services for molecular biology , 2005, Genome Biology.
[259] Thomas Lengauer,et al. Multi-task learning for HIV therapy screening , 2008, ICML '08.
[260] Claire Cardie,et al. Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees , 2017, ACL.
[261] Kilian Q. Weinberger,et al. Large Margin Multi-Task Metric Learning , 2010, NIPS.
[262] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[263] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[264] Feng Zhu,et al. A Deep Framework for Cross-Domain and Cross-System Recommendations , 2018, IJCAI.
[265] Charu C. Aggarwal,et al. Towards semantic knowledge propagation from text corpus to web images , 2011, WWW.
[266] Jinbo Bi,et al. On Multiplicative Multitask Feature Learning , 2014, NIPS.
[267] Jiayu Zhou,et al. Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates , 2017, KDD.
[268] James Theiler,et al. Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space , 2003, J. Mach. Learn. Res..
[269] Yu Zhang,et al. Transferable Contextual Bandit for Cross-Domain Recommendation , 2018, AAAI.
[270] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[271] Hal Daumé,et al. Frustratingly Easy Domain Adaptation , 2007, ACL.
[272] Estevam R. Hruschka,et al. Toward an Architecture for Never-Ending Language Learning , 2010, AAAI.
[273] Qiang Yang,et al. Boosting for transfer learning , 2007, ICML '07.
[274] Trevor Darrell,et al. LSDA: Large Scale Detection through Adaptation , 2014, NIPS.
[275] Yu Tsao,et al. Recurrent neural network based language model personalization by social network crowdsourcing , 2013, INTERSPEECH.
[276] Heng-Tze Cheng,et al. Wide & Deep Learning for Recommender Systems , 2016, DLRS@RecSys.
[277] Dit-Yan Yeung,et al. Multi-Task Boosting by Exploiting Task Relationships , 2012, ECML/PKDD.
[278] Dongho Kim,et al. POMDP-based dialogue manager adaptation to extended domains , 2013, SIGDIAL Conference.
[279] Sergey Levine,et al. Learning modular neural network policies for multi-task and multi-robot transfer , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[280] Hui Xiong,et al. A Unified Framework for Metric Transfer Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[281] Ivor W. Tsang,et al. Domain Transfer SVM for video concept detection , 2009, CVPR 2009.
[282] Jeffrey M. Hausdorff,et al. Potentials of Enhanced Context Awareness in Wearable Assistants for Parkinson's Disease Patients with the Freezing of Gait Syndrome , 2009, 2009 International Symposium on Wearable Computers.
[283] Edwin V. Bonilla,et al. Multi-task Gaussian Process Prediction , 2007, NIPS.
[284] Neil D. Lawrence,et al. Learning to learn with the informative vector machine , 2004, ICML.
[285] Peter Stone,et al. Deep Recurrent Q-Learning for Partially Observable MDPs , 2015, AAAI Fall Symposia.
[286] Yu Zhang,et al. CoNet: Collaborative Cross Networks for Cross-Domain Recommendation , 2018, UMCit@KDD.
[287] Brendan Juba,et al. Estimating relatedness via data compression , 2006, ICML.
[288] Christoph H. Lampert,et al. A PAC-Bayesian bound for Lifelong Learning , 2013, ICML.
[289] Razvan Pascanu,et al. Policy Distillation , 2015, ICLR.
[290] Peng Li,et al. Similarity Metric Learning for Face Recognition , 2013, 2013 IEEE International Conference on Computer Vision.
[291] Renjie Liao,et al. Learning Deep Parsimonious Representations , 2016, NIPS.
[292] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[293] Arne Elofsson,et al. Prediction of MHC class I binding peptides, using SVMHC , 2002, BMC Bioinformatics.
[294] Sebastian Thrun,et al. Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.
[295] Trevor Darrell,et al. Semi-supervised Domain Adaptation with Instance Constraints , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[296] Yu Zhang,et al. Multi-Task Learning and Algorithmic Stability , 2015, AAAI.
[297] Geoffrey J. Gordon,et al. Relational learning via collective matrix factorization , 2008, KDD.
[298] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[299] Xiaocheng Feng,et al. Target-Dependent Sentiment Classification with Long Short Term Memory , 2015, ArXiv.
[300] Andrew G. Barto,et al. Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density , 2001, ICML.
[301] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[302] Philip M. Long,et al. Online Multitask Learning , 2006, COLT.
[303] Antoni B. Chan,et al. Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[304] Isabelle Augenstein,et al. Multi-Task Learning of Keyphrase Boundary Classification , 2017, ACL.
[305] Rui Yan,et al. How Transferable are Neural Networks in NLP Applications? , 2016, EMNLP.
[306] Yishay Mansour,et al. Domain Adaptation: Learning Bounds and Algorithms , 2009, COLT.
[307] Ricardo Chavarriaga,et al. The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition , 2013, Pattern Recognit. Lett..
[308] Austin H. Chen,et al. A New Multi-Task Learning Technique to Predict Classification of Leukemia and Prostate Cancer , 2010, ICMB.
[309] Thomas Plötz,et al. Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables , 2016, IJCAI.
[310] Milica Gasic,et al. The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management , 2010, Comput. Speech Lang..
[311] Yann LeCun,et al. Energy-based Generative Adversarial Network , 2016, ICLR.
[312] Mike Thelwall,et al. Biographies or Blenders: Which Resource Is Best for Cross-Domain Sentiment Analysis? , 2012, CICLing.
[313] Peter L. Bartlett,et al. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results , 2003, J. Mach. Learn. Res..
[314] Jens H. Weber,et al. Privacy Preserving Decision Tree Learning Using Unrealized Data Sets , 2012, IEEE Transactions on Knowledge and Data Engineering.
[315] Qiang Yang,et al. Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text , 2019, WWW.
[316] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[317] Tom M. Mitchell,et al. A Joint Sequential and Relational Model for Frame-Semantic Parsing , 2017, EMNLP.
[318] Martha Larson,et al. Mining contextual movie similarity with matrix factorization for context-aware recommendation , 2013, TIST.
[319] Gunnar Rätsch,et al. Leveraging Sequence Classification by Taxonomy-Based Multitask Learning , 2010, RECOMB.
[320] Yu Zhang,et al. Transfer Learning via Learning to Transfer , 2018, ICML.
[321] Gunnar Rätsch,et al. An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis , 2008, NIPS.
[322] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[323] Romain Laroche,et al. Transfer Learning for User Adaptation in Spoken Dialogue Systems , 2016, AAMAS.
[324] Motoaki Kawanabe,et al. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation , 2007, NIPS.
[325] Michael I. Jordan,et al. Deep Transfer Learning with Joint Adaptation Networks , 2016, ICML.
[326] Bernhard Schölkopf,et al. Measuring Statistical Dependence with Hilbert-Schmidt Norms , 2005, ALT.
[327] Trevor Darrell,et al. Adapting Visual Category Models to New Domains , 2010, ECCV.
[328] Lei Zhang,et al. Generalization Bounds for Domain Adaptation , 2012, NIPS.
[329] Trevor Darrell,et al. Factorized Latent Spaces with Structured Sparsity , 2010, NIPS.
[330] Qiang Yang,et al. Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning , 2016, AAAI.
[331] Kostas E. Bekris,et al. Robotics-Based Location Sensing Using Wireless Ethernet , 2002, MobiCom '02.
[332] Francis R. Bach,et al. Multi-task regression using minimal penalties , 2011, J. Mach. Learn. Res..
[333] Yishay Mansour,et al. Domain Adaptation with Multiple Sources , 2008, NIPS.
[334] Jieping Ye,et al. Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks , 2010, TKDD.
[335] Paul Thagard,et al. Analogical Mapping by Constraint Satisfaction , 1989, Cogn. Sci..
[336] Kai Zhao,et al. Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank , 2017, EMNLP.
[337] Kilian Q. Weinberger,et al. Learning a kernel matrix for nonlinear dimensionality reduction , 2004, ICML.
[338] Kilian Q. Weinberger,et al. Marginalized Denoising Autoencoders for Domain Adaptation , 2012, ICML.
[339] Trevor Darrell,et al. Deep Domain Confusion: Maximizing for Domain Invariance , 2014, CVPR 2014.
[340] Vikram Pudi,et al. Paper2vec: Combining Graph and Text Information for Scientific Paper Representation , 2017, ECIR.
[341] Gwenn Englebienne,et al. Accurate activity recognition in a home setting , 2008, UbiComp.
[342] Jeff G. Schneider,et al. Learning Multiple Tasks with a Sparse Matrix-Normal Penalty , 2010, NIPS.
[343] Raymond J. Mooney,et al. Learning Relations by Pathfinding , 1992, AAAI.
[344] Joshua B. Tenenbaum,et al. One-shot learning by inverting a compositional causal process , 2013, NIPS.
[345] Yunhao Liu,et al. LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..
[346] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[347] Wan-Yu Deng,et al. Cross-person activity recognition using reduced kernel extreme learning machine , 2014, Neural Networks.
[348] Dinggang Shen,et al. Deep Learning-Based Feature Representation for AD/MCI Classification , 2013, MICCAI.
[349] Wanxiang Che,et al. Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning , 2016, ArXiv.
[350] Abhinandan Das,et al. Google news personalization: scalable online collaborative filtering , 2007, WWW '07.
[351] Massimiliano Pontil,et al. Sparse coding for multitask and transfer learning , 2012, ICML.
[352] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[353] Qiang Yang,et al. One-Class Collaborative Filtering , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[354] Thomas G. Dietterich,et al. Improving SVM accuracy by training on auxiliary data sources , 2004, ICML.
[355] Joelle Pineau,et al. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues , 2016, AAAI.
[356] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[357] James Henderson,et al. A Model of Zero-Shot Learning of Spoken Language Understanding , 2015, EMNLP.
[358] George Trigeorgis,et al. Domain Separation Networks , 2016, NIPS.
[359] Yu Zhang,et al. Learning Sparse Task Relations in Multi-Task Learning , 2017, AAAI.
[360] Mikhail Belkin,et al. Learning privately from multiparty data , 2016, ICML.
[361] Mengjie Zhang,et al. Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation , 2016, ECCV.
[362] Koby Crammer,et al. Convex Multi-Task Learning by Clustering , 2015, AISTATS.
[363] Qiang Yang,et al. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons , 2012, ACL.
[364] Jakob Grue Simonsen,et al. A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion , 2015, CIKM.
[365] Yu Zhang,et al. Personalizing a Dialogue System With Transfer Reinforcement Learning , 2016, AAAI.
[366] Qiang Yang,et al. Transferring Naive Bayes Classifiers for Text Classification , 2007, AAAI.
[367] Jan Peters,et al. Reinforcement Learning to Adjust Robot Movements to New Situations , 2010, IJCAI.
[368] Ambuj Tewari,et al. Regularization Techniques for Learning with Matrices , 2009, J. Mach. Learn. Res..
[369] Oren Etzioni,et al. PRODIGY: an integrated architecture for planning and learning , 1991, SGAR.
[370] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[371] Hao Luo,et al. Cross-Domain Recommendation via Cluster-Level Latent Factor Model , 2013, ECML/PKDD.
[372] Jie Yin,et al. Transfer Learning across Networks for Collective Classification , 2013, 2013 IEEE 13th International Conference on Data Mining.
[373] Xiaohui Peng,et al. Deep Learning for Sensor-based Activity Recognition: A Survey , 2017, Pattern Recognit. Lett..
[374] Gokhan Tur,et al. Multitask Learning for Spoken Language Understanding , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[375] Qiang Yang,et al. Multitask Learning for Protein Subcellular Location Prediction , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[376] Masashi Sugiyama,et al. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso , 2012, Neural Computation.
[377] Rui Liu,et al. A General Cross-Domain Recommendation Framework via Bayesian Neural Network , 2018, 2018 IEEE International Conference on Data Mining (ICDM).
[378] Marc'Aurelio Ranzato,et al. Sequence Level Training with Recurrent Neural Networks , 2015, ICLR.
[379] Daphna Weinshall,et al. Hierarchical Regularization Cascade for Joint Learning , 2013, ICML.
[380] Qiang Yang,et al. Privacy-preserving Transfer Learning for Knowledge Sharing , 2018, ArXiv.
[381] Satoru Miyano,et al. Utilizing Evolutionary Information and Gene Expression Data for Estimating Gene Networks with Bayesian Network Models , 2005, J. Bioinform. Comput. Biol..
[382] Jean-Philippe Vert,et al. Clustered Multi-Task Learning: A Convex Formulation , 2008, NIPS.
[383] Yoshua Bengio,et al. Deep Learning of Representations for Unsupervised and Transfer Learning , 2011, ICML Unsupervised and Transfer Learning.
[384] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[385] Ivor W. Tsang,et al. Hybrid Heterogeneous Transfer Learning through Deep Learning , 2014, AAAI.
[386] Charles A. Micchelli,et al. On Spectral Learning , 2010, J. Mach. Learn. Res..
[387] Alexei A. Efros,et al. Undoing the Damage of Dataset Bias , 2012, ECCV.
[388] Charles A. Micchelli,et al. Learning Multiple Tasks with Kernel Methods , 2005, J. Mach. Learn. Res..
[389] Noam Chomsky,et al. Three models for the description of language , 1956, IRE Trans. Inf. Theory.
[390] Jaime G. Carbonell,et al. A theory of transfer learning with applications to active learning , 2013, Machine Learning.
[391] Pradeep Ravikumar,et al. Greedy Algorithms for Structurally Constrained High Dimensional Problems , 2011, NIPS.
[392] Qiang Yang,et al. Cross-domain activity recognition , 2009, UbiComp.
[393] Santosh S. Vempala,et al. Efficient Representations for Lifelong Learning and Autoencoding , 2014, COLT.
[394] Georgios Balikas,et al. Multitask Learning for Fine-Grained Twitter Sentiment Analysis , 2017, SIGIR.
[395] Daniele Calandriello,et al. Sparse multi-task reinforcement learning , 2014, Intelligenza Artificiale.
[396] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[397] Quoc V. Le,et al. Neural Optimizer Search with Reinforcement Learning , 2017, ICML.
[398] Charles A. Micchelli,et al. When is there a representer theorem? Vector versus matrix regularizers , 2008, J. Mach. Learn. Res..
[399] Jianmin Wang,et al. Partial Transfer Learning with Selective Adversarial Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[400] Bahram Parvin,et al. Sparse multitask regression for identifying common mechanism of response to therapeutic targets , 2010, Bioinform..
[401] Daniel Kifer,et al. Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget , 2018, KDD.
[402] Xiangji Huang,et al. Bi-Transferring Deep Neural Networks for Domain Adaptation , 2016, ACL.
[403] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[404] C. A. Murthy,et al. Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[405] Ling Shao,et al. Cross-Modality Submodular Dictionary Learning for Information Retrieval , 2014, CIKM.
[406] Rama Chellappa,et al. Domain Adaptive Dictionary Learning , 2012, ECCV.
[407] Aaron C. Courville,et al. Adversarially Learned Inference , 2016, ICLR.
[408] Marilyn A. Walker,et al. Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email , 1998, COLING-ACL.
[409] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[410] Andrea Bonarini,et al. Transfer of samples in batch reinforcement learning , 2008, ICML '08.
[411] Qiang Yang,et al. Transfer Learning for Semisupervised Collaborative Recommendation , 2016, TIIS.
[412] David Vandyke,et al. Multi-domain Dialog State Tracking using Recurrent Neural Networks , 2015, ACL.
[413] Sang Michael Xie,et al. Combining satellite imagery and machine learning to predict poverty , 2016, Science.
[414] Hui Li,et al. Multi-task Reinforcement Learning in Partially Observable Stochastic Environments , 2009, J. Mach. Learn. Res..
[415] Tomas Pfister,et al. Learning from Simulated and Unsupervised Images through Adversarial Training , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[416] Marilyn A. Walker,et al. Individual and Domain Adaptation in Sentence Planning for Dialogue , 2007, J. Artif. Intell. Res..
[417] Lorenzo Bruzzone,et al. Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[418] Ming Zhou,et al. Gated Self-Matching Networks for Reading Comprehension and Question Answering , 2017, ACL.
[419] Qiang Yang,et al. Transfer Learning in Collaborative Filtering with Uncertain Ratings , 2012, AAAI.
[420] Jianmin Wang,et al. Multi-Adversarial Domain Adaptation , 2018, AAAI.
[421] Qiang Yang,et al. Transfer Learning via Dimensionality Reduction , 2008, AAAI.
[422] Masashi Sugiyama,et al. Conic Programming for Multitask Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[423] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[424] Yu Zhang,et al. A Survey on Multi-Task Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[425] Ivan Marsic,et al. Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels , 2013, ICML.
[426] Brian C. Lovell,et al. Domain Adaptation on the Statistical Manifold , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[427] Ping Tan,et al. DualGAN: Unsupervised Dual Learning for Image-to-Image Translation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[428] A McAllesterDavid. Some PAC-Bayesian Theorems , 1999 .
[429] Dit-Yan Yeung,et al. Semi-Supervised Multi-Task Regression , 2009, ECML/PKDD.
[430] Aurélien Garivier,et al. On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models , 2014, J. Mach. Learn. Res..
[431] Rama Chellappa,et al. DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning , 2015, IEEE Transactions on Image Processing.
[432] Raymond J. Mooney,et al. Mapping and Revising Markov Logic Networks for Transfer Learning , 2007, AAAI.
[433] Chang Wang,et al. Heterogeneous Domain Adaptation Using Manifold Alignment , 2011, IJCAI.
[434] Joachim Bingel,et al. Sluice networks: Learning what to share between loosely related tasks , 2017, ArXiv.
[435] Zhu Wang,et al. CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[436] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[437] Roberto Pieraccini,et al. Learning dialogue strategies within the Markov decision process framework , 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.
[438] Yu Zhang,et al. Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems , 2017, ArXiv.
[439] Colin L. Mallows,et al. A system for LEASE: location estimation assisted by stationary emitters for indoor RF wireless networks , 2004, IEEE INFOCOM 2004.
[440] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[441] Massimiliano Pontil,et al. Excess risk bounds for multitask learning with trace norm regularization , 2012, COLT.
[442] Alan Fern,et al. Multi-task reinforcement learning: a hierarchical Bayesian approach , 2007, ICML '07.
[443] Manuela M. Veloso,et al. Conditional random fields for activity recognition , 2007, AAMAS '07.
[444] Jieping Ye,et al. Multi-stage multi-task feature learning , 2012, J. Mach. Learn. Res..
[445] Qiang Yang,et al. Transfer learning for collaborative filtering via a rating-matrix generative model , 2009, ICML '09.
[446] Kevin J. Pugh,et al. Motivational Influences on Transfer , 2006 .
[447] Samy Bengio,et al. Zero-Shot Learning by Convex Combination of Semantic Embeddings , 2013, ICLR.
[448] David Zhang,et al. LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation , 2016, IEEE Transactions on Image Processing.
[449] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[450] Steffen Bickel,et al. Discriminative learning for differing training and test distributions , 2007, ICML '07.
[451] Qiang Yang,et al. Indoor localization in multi-floor environments with reduced effort , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[452] Dong Xu,et al. Exploiting Low-Rank Structure from Latent Domains for Domain Generalization , 2014, ECCV.
[453] Jinhui Tang,et al. Weakly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation , 2015, ACM Multimedia.
[454] Qiang Yang,et al. Can chinese web pages be classified with english data source? , 2008, WWW.
[455] Qiang Yang,et al. Lifelong Machine Learning Systems: Beyond Learning Algorithms , 2013, AAAI Spring Symposium: Lifelong Machine Learning.
[456] Gunnar Rätsch,et al. Novel Machine Learning Methods for MHC Class I Binding Prediction , 2010, PRIB.
[457] Qiang Yang,et al. Cross-domain sentiment classification via spectral feature alignment , 2010, WWW '10.
[458] François Laviolette,et al. A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers , 2013, ICML.
[459] Yunde Jia,et al. Cross-View Action Recognition over Heterogeneous Feature Spaces , 2013, ICCV.
[460] Filip Jurcícek,et al. Incremental LSTM-based dialog state tracker , 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
[461] Yonghong Yan,et al. Markovian discriminative modeling for cross-domain dialog state tracking , 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).
[462] Ken-ichi Kawarabayashi,et al. Unsupervised Cross-Domain Word Representation Learning , 2015, ACL.
[463] Yishay Mansour,et al. Learning Bounds for Importance Weighting , 2010, NIPS.
[464] Peter Stone,et al. Transferring Instances for Model-Based Reinforcement Learning , 2008, ECML/PKDD.
[465] Jason D. Williams,et al. The best of both worlds: unifying conventional dialog systems and POMDPs , 2008, INTERSPEECH.
[466] Daniel L. Silver,et al. The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness , 1996, Connect. Sci..
[467] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[468] Jiaolong Xu,et al. Domain Adaptation of Deformable Part-Based Models , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[469] Liang Lu,et al. Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition , 2017, INTERSPEECH.
[470] Quoc V. Le,et al. Multi-task Sequence to Sequence Learning , 2015, ICLR.
[471] Alessandro Lazaric,et al. Sequential Transfer in Multi-armed Bandit with Finite Set of Models , 2013, NIPS.
[472] Yan Cui,et al. Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks , 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[473] Masashi Sugiyama,et al. A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference , 2010, Int. J. Knowl. Discov. Bioinform..
[474] Shai Ben-David,et al. A theoretical framework for learning from a pool of disparate data sources , 2002, KDD.
[475] Xiaoou Tang,et al. Facial Landmark Detection by Deep Multi-task Learning , 2014, ECCV.
[476] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[477] Antonio Torralba,et al. Learning Aligned Cross-Modal Representations from Weakly Aligned Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[478] Jean-Philippe Vert,et al. Efficient peptide-MHC-I binding prediction for alleles with few known binders , 2008, Bioinform..
[479] John Blitzer,et al. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification , 2007, ACL.
[480] Paul Resnick,et al. Recommender systems , 1997, CACM.
[481] Dongyan Zhao,et al. Learning to Predict Charges for Criminal Cases with Legal Basis , 2017, EMNLP.
[482] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[483] Kevin Knight,et al. Multi-Source Neural Translation , 2016, NAACL.
[484] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.
[485] Ming Liu,et al. Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[486] Dit-Yan Yeung,et al. Multi-Task Learning using Generalized t Process , 2010, AISTATS.
[487] Maria-Florina Balcan,et al. Risk Bounds for Transferring Representations With and Without Fine-Tuning , 2017, ICML.
[488] Jason D. Williams. Integrating expert knowledge into POMDP optimization for spoken dialog systems , 2008 .
[489] Chengqi Zhang,et al. TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs , 2015, IEEE Trans. Knowl. Data Eng..
[490] Andreas Maurer,et al. Algorithmic Stability and Meta-Learning , 2005, J. Mach. Learn. Res..
[491] Ming Zhou,et al. Sequence-to-Dependency Neural Machine Translation , 2017, ACL.
[492] S. Mahadevan,et al. Proto-transfer Learning in Markov Decision Processes Using Spectral Methods , 2006 .
[493] Bing Liu,et al. Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model , 2016, WWW.
[494] Dianhai Yu,et al. Multi-Task Learning for Multiple Language Translation , 2015, ACL.
[495] John Blitzer,et al. Domain Adaptation with Structural Correspondence Learning , 2006, EMNLP.
[496] Jesse Davis,et al. TODTLER: Two-Order-Deep Transfer Learning , 2015, AAAI.
[497] Lei Han,et al. Learning Multi-Level Task Groups in Multi-Task Learning , 2015, AAAI.
[498] Yaser Al-Onaizan,et al. Zero-Resource Translation with Multi-Lingual Neural Machine Translation , 2016, EMNLP.
[499] William-Chandra Tjhi,et al. Dual Fuzzy-Possibilistic Co-clustering for Document Categorization , 2007 .
[500] Mladen Kolar,et al. Distributed Multi-Task Learning , 2016, AISTATS.
[501] Qiang Yang,et al. Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study , 2010, BMC Bioinformatics.
[502] Tong Zhang,et al. Covering Number Bounds of Certain Regularized Linear Function Classes , 2002, J. Mach. Learn. Res..
[503] Trevor Darrell,et al. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms , 2011, CVPR 2011.
[504] Barbara Caputo,et al. Learning Categories From Few Examples With Multi Model Knowledge Transfer , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[505] Jiayu Zhou,et al. Integrating low-rank and group-sparse structures for robust multi-task learning , 2011, KDD.
[506] Qiang Yang,et al. Heterogeneous Transfer Learning for Image Classification , 2011, AAAI.
[507] Seong-Whan Lee,et al. Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis , 2014, NeuroImage.
[508] Shai Ben-David,et al. A notion of task relatedness yielding provable multiple-task learning guarantees , 2008, Machine Learning.
[509] Deniz Yuret,et al. Transfer Learning for Low-Resource Neural Machine Translation , 2016, EMNLP.
[510] Ivor W. Tsang,et al. Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[511] Massimiliano Pontil,et al. Convex multi-task feature learning , 2008, Machine Learning.
[512] Rama Chellappa,et al. Generalized Domain-Adaptive Dictionaries , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[513] Steve J. Young,et al. Spoken language understanding using the Hidden Vector State Model , 2006, Speech Commun..
[514] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[515] Hang Li,et al. Neural Responding Machine for Short-Text Conversation , 2015, ACL.
[516] Qiang Yang,et al. A Survey of Transfer and Multitask Learning in Bioinformatics , 2011, J. Comput. Sci. Eng..
[517] Henry A. Kautz,et al. Fine-grained activity recognition by aggregating abstract object usage , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).
[518] Qiang Yang,et al. Transferring Localization Models over Time , 2008, AAAI.
[519] Yoshua Bengio,et al. BilBOWA: Fast Bilingual Distributed Representations without Word Alignments , 2014, ICML.
[520] Min Yang,et al. Personalized Response Generation via Domain adaptation , 2017, SIGIR.
[521] Noah A. Smith,et al. Deep Multitask Learning for Semantic Dependency Parsing , 2017, ACL.
[522] Edward Kim,et al. A deep semantic mobile application for thyroid cytopathology , 2016, SPIE Medical Imaging.
[523] Hal Daumé,et al. Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback , 2017, EMNLP.
[524] Congfu Xu,et al. Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks , 2015, Knowl. Based Syst..
[525] Aaron Klein,et al. Efficient and Robust Automated Machine Learning , 2015, NIPS.
[526] Joelle Pineau,et al. Generalized Dictionary for Multitask Learning with Boosting , 2016, IJCAI.
[527] Jonathan Baxter,et al. A Model of Inductive Bias Learning , 2000, J. Artif. Intell. Res..
[528] Barbara Caputo,et al. Multiclass transfer learning from unconstrained priors , 2011, 2011 International Conference on Computer Vision.
[529] Yongdong Zhang,et al. Multi-task deep visual-semantic embedding for video thumbnail selection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[530] Qiang Yang,et al. Q2C@UST: our winning solution to query classification in KDDCUP 2005 , 2005, SKDD.
[531] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.
[532] Yuan Shi,et al. Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation , 2012, ICML.
[533] Yiming Yang,et al. From Lasso regression to Feature vector machine , 2005, NIPS.
[534] Rebecca N. Wright,et al. A Practical Differentially Private Random Decision Tree Classifier , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[535] Charu C. Aggarwal,et al. Towards cross-category knowledge propagation for learning visual concepts , 2011, CVPR 2011.
[536] Edoardo Amaldi,et al. On the Approximability of Minimizing Nonzero Variables or Unsatisfied Relations in Linear Systems , 1998, Theor. Comput. Sci..
[537] Vince D. Calhoun,et al. Deep learning for neuroimaging: a validation study , 2013, Front. Neurosci..
[538] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[539] Kaiming He,et al. Exploring the Limits of Weakly Supervised Pretraining , 2018, ECCV.
[540] Pedro M. Domingos,et al. Deep transfer via second-order Markov logic , 2009, ICML '09.
[541] Thomas Hofmann,et al. Probabilistic Latent Semantic Analysis , 1999, UAI.
[542] Ilja Kuzborskij,et al. Stability and Hypothesis Transfer Learning , 2013, ICML.
[543] Han Liu,et al. Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery , 2009, ICML '09.
[544] Ming-Syan Chen,et al. Transfer Neural Trees for Heterogeneous Domain Adaptation , 2016, ECCV.
[545] Lantao Yu,et al. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient , 2016, AAAI.
[546] Zellig S. Harris,et al. Distributional Structure , 1954 .
[547] Wei Zhang,et al. R3: Reinforced Ranker-Reader for Open-Domain Question Answering , 2018, AAAI.
[548] Anestis Fachantidis,et al. Knowledge transfer in reinforcement learning , 2016 .
[549] Jason Weston,et al. Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins , 2010, Bioinform..
[550] Mengjie Zhang,et al. Domain Generalization for Object Recognition with Multi-task Autoencoders , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[551] Oliver Lemon,et al. A Simple and Generic Belief Tracking Mechanism for the Dialog State Tracking Challenge: On the believability of observed information , 2013, SIGDIAL Conference.
[552] Xinlei Chen,et al. Never-Ending Learning , 2012, ECAI.
[553] Ruslan Salakhutdinov,et al. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning , 2015, ICLR.
[554] Jianfeng Gao,et al. A Persona-Based Neural Conversation Model , 2016, ACL.
[555] Nicu Sebe,et al. Harnessing Lab Knowledge for Real-World Action Recognition , 2014, International Journal of Computer Vision.
[556] Sebastian Thrun,et al. Discovering Structure in Multiple Learning Tasks: The TC Algorithm , 1996, ICML.
[557] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[558] Jing Zhang,et al. Importance Weighted Adversarial Nets for Partial Domain Adaptation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[559] Matthew Henderson,et al. Word-Based Dialog State Tracking with Recurrent Neural Networks , 2014, SIGDIAL Conference.
[560] Michael I. Jordan,et al. Union support recovery in high-dimensional multivariate regression , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.
[561] Le Song,et al. A Hilbert Space Embedding for Distributions , 2007, Discovery Science.
[562] Andrew W. Moore,et al. Variable Resolution Dynamic Programming , 1991, ML Workshop.
[563] Milica Gasic,et al. POMDP-Based Statistical Spoken Dialog Systems: A Review , 2013, Proceedings of the IEEE.
[564] Qiang Yang,et al. Transfer Knowledge between Cities , 2016, KDD.
[565] Joshua B. Tenenbaum,et al. One shot learning of simple visual concepts , 2011, CogSci.
[566] Kristian Kersting,et al. Transfer Learning via Relational Type Matching , 2015, 2015 IEEE International Conference on Data Mining.
[567] Shimon Whiteson,et al. Learning potential functions and their representations for multi-task reinforcement learning , 2013, Autonomous Agents and Multi-Agent Systems.
[568] Fabrice Lefèvre,et al. k-Nearest Neighbor Monte-Carlo Control Algorithm for POMDP-Based Dialogue Systems , 2009, SIGDIAL Conference.
[569] Yueting Zhuang,et al. Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval , 2013, AAAI.
[570] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[571] Trevor Cohn,et al. Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary , 2017, ACL.
[572] G. Tur,et al. Model adaptation for spoken language understanding , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[573] Kaiming He,et al. Rethinking ImageNet Pre-Training , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[574] Divyakant Agrawal,et al. Privacy preserving decision tree learning over multiple parties , 2007, Data Knowl. Eng..
[575] Andrew G. Barto,et al. Building Portable Options: Skill Transfer in Reinforcement Learning , 2007, IJCAI.
[576] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[577] Ivor W. Tsang,et al. Domain Transfer Multiple Kernel Learning , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[578] Patrick Henry Winston,et al. Learning and reasoning by analogy , 1980, CACM.
[579] Jason Williams,et al. Multi-domain learning and generalization in dialog state tracking , 2013, SIGDIAL Conference.
[580] Yu Zhang. Parallel Multi-task Learning , 2015, 2015 IEEE International Conference on Data Mining.
[581] Dongho Kim,et al. Distributed dialogue policies for multi-domain statistical dialogue management , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[582] Liang Zhang,et al. Deep Reinforcement Learning for List-wise Recommendations , 2017, ArXiv.
[583] Rama Chellappa,et al. Visual Domain Adaptation: A survey of recent advances , 2015, IEEE Signal Processing Magazine.
[584] Yifan Gong,et al. Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[585] Brian C. Lovell,et al. Unsupervised Domain Adaptation by Domain Invariant Projection , 2013, 2013 IEEE International Conference on Computer Vision.
[586] Qiang Yang,et al. Transitive Transfer Learning , 2015, KDD.
[587] Qiang Yang,et al. Building bridges for web query classification , 2006, SIGIR.
[588] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[589] Taiji Suzuki,et al. Cross-domain Recommendation via Deep Domain Adaptation , 2018, ECIR.
[590] Peter Stone,et al. Cross-domain transfer for reinforcement learning , 2007, ICML '07.
[591] Melanie Hilario,et al. Knowledge and Information Systems , 2007 .
[592] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[593] Rama Chellappa,et al. Domain adaptation for object recognition: An unsupervised approach , 2011, 2011 International Conference on Computer Vision.
[594] Qiang Yang,et al. Adaptive Temporal Radio Maps for Indoor Location Estimation , 2005, Third IEEE International Conference on Pervasive Computing and Communications.
[595] Sridhar Mahadevan,et al. Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes , 2007, J. Mach. Learn. Res..
[596] Yoshihiro Yamanishi,et al. Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach , 2009, Bioinform..
[597] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[598] Marilyn A. Walker,et al. Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits , 2011, CL.
[599] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..
[600] Amaury Habrard,et al. A Theoretical Analysis of Metric Hypothesis Transfer Learning , 2015, ICML.
[601] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[602] Z. Jane Wang,et al. Cross-Domain Object Recognition Via Input-Output Kernel Analysis , 2013, IEEE Transactions on Image Processing.
[603] Martial Hebert,et al. Cross-Stitch Networks for Multi-task Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[604] Shimon Whiteson,et al. Transfer via inter-task mappings in policy search reinforcement learning , 2007, AAMAS '07.
[605] Lei Han,et al. Learning Tree Structure in Multi-Task Learning , 2015, KDD.
[606] Raef Bassily,et al. Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds , 2014, 1405.7085.
[607] Mario Fritz,et al. Appearance-based gaze estimation in the wild , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[608] Takafumi Kanamori,et al. A Least-squares Approach to Direct Importance Estimation , 2009, J. Mach. Learn. Res..
[609] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[610] Jing Jiang,et al. Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction , 2009, ACL.
[611] Qiang Yang,et al. Query enrichment for web-query classification , 2006, TOIS.
[612] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[613] Udo Hahn,et al. Multi-Task Active Learning for Linguistic Annotations , 2008, ACL.
[614] Peter Stone,et al. Autonomous transfer for reinforcement learning , 2008, AAMAS.
[615] Bing Liu,et al. Lifelong Learning for Sentiment Classification , 2015, ACL.
[616] Archan Misra,et al. Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation , 2018, 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[617] Feiping Nie,et al. Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization , 2011, SIGIR.
[618] Yu Zhang. Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms , 2013, NIPS.
[619] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[620] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[621] Wolfram Burgard,et al. Deep reinforcement learning with successor features for navigation across similar environments , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[622] Peter Stone,et al. Value Functions for RL-Based Behavior Transfer: A Comparative Study , 2005, AAAI.
[623] Yoshimasa Tsuruoka,et al. A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks , 2016, EMNLP.
[624] Qiang Yang,et al. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction , 2009, IJCAI.
[625] Lawrence Carin,et al. Semi-Supervised Multitask Learning , 2007, NIPS.
[626] Jialin Pan,et al. Feature-based transfer learning with real-world applications , 2010 .
[627] Aurelie C. Lozano,et al. Multi-level Lasso for Sparse Multi-task Regression , 2012, ICML.
[628] Eric Eaton,et al. Online Multi-Task Learning for Policy Gradient Methods , 2014, ICML.
[629] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[630] Trevor Darrell,et al. Adversarial Discriminative Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[631] Daniel D. Lee,et al. Learning High Dimensional Correspondences from Low Dimensional Manifolds , 2003 .
[632] Yu Zhang,et al. Deep Neural Networks for High Dimension, Low Sample Size Data , 2017, IJCAI.
[633] Chris Drummond,et al. Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks , 2011, J. Artif. Intell. Res..
[634] Yangyang Shi,et al. Recurrent neural network language model adaptation with curriculum learning , 2015, Comput. Speech Lang..
[635] Ting Liu,et al. Neural personalized response generation as domain adaptation , 2017, World Wide Web.
[636] Joseph Antony,et al. Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[637] Eunsol Choi,et al. Coarse-to-Fine Question Answering for Long Documents , 2016, ACL.
[638] J. Elman. Learning and development in neural networks: the importance of starting small , 1993, Cognition.
[639] Yang Wang,et al. Differentially Private Hypothesis Transfer Learning , 2018, ECML/PKDD.