暂无分享,去创建一个
Jitendra Malik | Silvio Savarese | Dawn Chen | Leonidas Guibas | Trevor Scott Standley | Amir R. Zamir | Trevor Standley | S. Savarese | Jitendra Malik | L. Guibas | A. Zamir | Dawn Chen | L. Guibas
[1] Carlos Soares,et al. Combining a multi-objective optimization approach with meta-learning for SVM parameter selection , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[2] Roberto Cipolla,et al. Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Ramesh Raskar,et al. Designing Neural Network Architectures using Reinforcement Learning , 2016, ICLR.
[4] Kshitij Dwivedi,et al. Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Senthil Yogamani,et al. MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[6] Sergey Levine,et al. Deep spatial autoencoders for visuomotor learning , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[7] Philip S. Yu,et al. Learning Multiple Tasks with Multilinear Relationship Networks , 2015, NIPS.
[8] Yike Guo,et al. Regularizing Deep Multi-Task Networks using Orthogonal Gradients , 2019, ArXiv.
[9] Joachim Bingel,et al. Identifying beneficial task relations for multi-task learning in deep neural networks , 2017, EACL.
[10] Chrisantha Fernando,et al. PathNet: Evolution Channels Gradient Descent in Super Neural Networks , 2017, ArXiv.
[11] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[12] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[13] Fei-Fei Li,et al. Label Efficient Learning of Transferable Representations acrosss Domains and Tasks , 2017, NIPS.
[14] Trevor Cohn,et al. Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser , 2015, ACL.
[15] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[16] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[17] Christoph H. Lampert,et al. Multi-task Learning with Labeled and Unlabeled Tasks , 2016, ICML.
[18] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Yongxin Yang,et al. Trace Norm Regularised Deep Multi-Task Learning , 2016, ICLR.
[20] Vladlen Koltun,et al. Multi-Task Learning as Multi-Objective Optimization , 2018, NeurIPS.
[21] Subhransu Maji,et al. Task2Vec: Task Embedding for Meta-Learning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Iasonas Kokkinos,et al. Attentive Single-Tasking of Multiple Tasks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jean-Antoine Désidéri,et al. A stochastic multiple gradient descent algorithm , 2018, Eur. J. Oper. Res..
[24] Alok Aggarwal,et al. Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.
[25] Li Fei-Fei,et al. Progressive Neural Architecture Search , 2017, ECCV.
[26] Andrei Bursuc,et al. Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems , 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).
[27] Yu Zhang,et al. A Survey on Multi-Task Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[28] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[29] Yu Cheng,et al. Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Razvan Pascanu,et al. Progressive Neural Networks , 2016, ArXiv.
[31] Frank Hutter,et al. Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves , 2015, IJCAI.
[32] Lorien Y. Pratt,et al. Discriminability-Based Transfer between Neural Networks , 1992, NIPS.
[33] Andrea Vedaldi,et al. Integrated perception with recurrent multi-task neural networks , 2016, NIPS.
[34] Wei Pan,et al. BayesNAS: A Bayesian Approach for Neural Architecture Search , 2019, ICML.
[35] Iasonas Kokkinos,et al. UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Raymond J. Mooney,et al. Mapping and Revising Markov Logic Networks for Transfer Learning , 2007, AAAI.
[37] Daniel L. Silver,et al. Guest editor’s introduction: special issue on inductive transfer learning , 2008, Machine Learning.
[38] Zhao Chen,et al. GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks , 2017, ICML.
[39] Bin Jiang,et al. Multi-Task Multi-View Learning Based on Cooperative Multi-Objective Optimization , 2018, IEEE Access.
[40] Thibault Helleputte,et al. Feature Selection by Transfer Learning with Linear Regularized Models , 2009, ECML/PKDD.
[41] Qiang Yang,et al. A Survey on Multi-Task Learning , 2017, IEEE Transactions on Knowledge and Data Engineering.
[42] Terrance E. Boult,et al. MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes , 2016, ECCV.
[43] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[44] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[45] Liang Lin,et al. SNAS: Stochastic Neural Architecture Search , 2018, ICLR.
[46] Sebastian Ruder,et al. An Overview of Multi-Task Learning in Deep Neural Networks , 2017, ArXiv.
[47] Ameet Talwalkar,et al. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization , 2016, J. Mach. Learn. Res..
[48] Jian Sun,et al. Instance-Aware Semantic Segmentation via Multi-task Network Cascades , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Quoc V. Le,et al. Efficient Neural Architecture Search via Parameter Sharing , 2018, ICML.
[50] Shie Mannor,et al. A Deep Hierarchical Approach to Lifelong Learning in Minecraft , 2016, AAAI.
[51] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[52] Frank Hutter,et al. Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution , 2018, ICLR.
[53] Hao Wu,et al. Mixed Precision Training , 2017, ICLR.
[54] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Vineeth N. Balasubramanian,et al. Zero-Shot Task Transfer , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Leonidas J. Guibas,et al. Taskonomy: Disentangling Task Transfer Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[57] Andrew J. Davison,et al. End-To-End Multi-Task Learning With Attention , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Michael J. Tarr,et al. Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity , 2019, bioRxiv.
[59] Julien Mairal,et al. BlitzNet: A Real-Time Deep Network for Scene Understanding , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[60] Jitendra Malik,et al. Generic 3D Representation via Pose Estimation and Matching , 2016, ECCV.
[61] Ian D. Reid,et al. Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[62] Svetlana Lazebnik,et al. Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask , 2018, ArXiv.
[63] Cory Stephenson,et al. A Comparison of Loss Weighting Strategies for Multi task Learning in Deep Neural Networks , 2019, IEEE Access.
[64] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[65] Rich Caruana,et al. Inductive Transfer for Bayesian Network Structure Learning , 2007, ICML Unsupervised and Transfer Learning.
[66] Rameswar Panda,et al. AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning , 2020, NeurIPS.
[67] Sebastian Thrun,et al. Is Learning The n-th Thing Any Easier Than Learning The First? , 1995, NIPS.
[68] Andrew Zisserman,et al. Multi-task Self-Supervised Visual Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).