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[1] Geoffrey E. Hinton,et al. Distilling the Knowledge in a Neural Network , 2015, ArXiv.
[2] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[3] John G. Breslin,et al. Knowledge Adaptation: Teaching to Adapt , 2017, ArXiv.
[4] Christopher Potts,et al. Learning Word Vectors for Sentiment Analysis , 2011, ACL.
[5] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[6] Yiming Yang,et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.
[7] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[8] Xiaodong Liu,et al. Multi-Task Deep Neural Networks for Natural Language Understanding , 2019, ACL.
[9] Omer Levy,et al. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems , 2019, NeurIPS.
[10] Mark Sandler,et al. Convolutional recurrent neural networks for music classification , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Qiang Yang,et al. A Survey of Transfer and Multitask Learning in Bioinformatics , 2011, J. Comput. Sci. Eng..
[12] Alexander M. Rush,et al. OpenNMT: Open-Source Toolkit for Neural Machine Translation , 2017, ACL.
[13] Yiming Yang,et al. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context , 2019, ACL.
[14] Richard Socher,et al. Regularizing and Optimizing LSTM Language Models , 2017, ICLR.
[15] Sebastian Schuster,et al. Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog , 2018, NAACL.
[16] Taghi M. Khoshgoftaar,et al. A survey of transfer learning , 2016, Journal of Big Data.
[17] Colin Raffel,et al. How Much Knowledge Can You Pack Into the Parameters of a Language Model? , 2020, EMNLP.
[18] Erik F. Tjong Kim Sang,et al. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition , 2003, CoNLL.
[19] Claire Cardie,et al. Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification , 2016, TACL.
[20] Marcello Federico,et al. Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary , 2018, IWSLT.
[21] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[22] Sebastian Ruder,et al. Fine-tuned Language Models for Text Classification , 2018, ArXiv.
[23] Walter Daelemans,et al. Using Domain Similarity for Performance Estimation , 2010, ACL 2010.
[24] Jiebo Luo,et al. Image Captioning with Semantic Attention , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Özlem Uzuner,et al. Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1 , 2015, J. Biomed. Informatics.
[26] Xiang Zhang,et al. Character-level Convolutional Networks for Text Classification , 2015, NIPS.
[27] Mona Attariyan,et al. Parameter-Efficient Transfer Learning for NLP , 2019, ICML.
[28] Graham Neubig,et al. Cross-Lingual Word Embeddings for Low-Resource Language Modeling , 2017, EACL.
[29] Tom E. Bishop,et al. Blind Image Restoration Using a Block-Stationary Signal Model , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[30] Richard Socher,et al. Learned in Translation: Contextualized Word Vectors , 2017, NIPS.
[31] Shuohang Wang,et al. Machine Comprehension Using Match-LSTM and Answer Pointer , 2016, ICLR.
[32] Percy Liang,et al. Know What You Don’t Know: Unanswerable Questions for SQuAD , 2018, ACL.
[33] Christopher Potts,et al. A large annotated corpus for learning natural language inference , 2015, EMNLP.
[34] Preslav Nakov,et al. Adversarial Domain Adaptation for Duplicate Question Detection , 2018, EMNLP.
[35] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[36] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[38] Colin Raffel,et al. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer , 2019, J. Mach. Learn. Res..
[39] Young-Bum Kim,et al. Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources , 2017, EMNLP.
[40] Geoffrey E. Hinton,et al. Generating Text with Recurrent Neural Networks , 2011, ICML.
[41] Kevin Gimpel,et al. ALBERT: A Lite BERT for Self-supervised Learning of Language Representations , 2019, ICLR.
[42] Guokun Lai,et al. RACE: Large-scale ReAding Comprehension Dataset From Examinations , 2017, EMNLP.
[43] Jürgen Schmidhuber,et al. Learning Complex, Extended Sequences Using the Principle of History Compression , 1992, Neural Computation.
[44] Trevor Darrell,et al. Deep Domain Confusion: Maximizing for Domain Invariance , 2014, CVPR 2014.
[45] Yann Dauphin,et al. Language Modeling with Gated Convolutional Networks , 2016, ICML.
[46] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[47] Franck Dernoncourt,et al. Transfer Learning for Named-Entity Recognition with Neural Networks , 2017, LREC.
[48] Aditya Malte,et al. Evolution of transfer learning in natural language processing , 2019, ArXiv.
[49] Philipp Koehn,et al. Moses: Open Source Toolkit for Statistical Machine Translation , 2007, ACL.
[50] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[51] Dan Roth,et al. Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach , 2019, EMNLP.
[52] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[53] Iain Murray,et al. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning , 2019, ICML.
[54] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[55] Robert Remus,et al. Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis , 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.
[56] Rui Yan,et al. How Transferable are Neural Networks in NLP Applications? , 2016, EMNLP.
[57] Xiaodong Liu,et al. Unified Language Model Pre-training for Natural Language Understanding and Generation , 2019, NeurIPS.
[58] Wang Ling,et al. Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation , 2015, EMNLP.
[59] Matteo Pagliardini,et al. Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features , 2017, NAACL.
[60] Ramesh Nallapati,et al. Domain Adaptation with BERT-based Domain Classification and Data Selection , 2019, EMNLP.
[61] Peter Stagge,et al. Recurrent neural networks for time series classification , 2003, Neurocomputing.
[62] Sepp Hochreiter,et al. The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions , 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[63] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[64] Richard Socher,et al. Dynamic Coattention Networks For Question Answering , 2016, ICLR.
[65] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[66] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[67] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[68] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[69] Dichao Hu,et al. An Introductory Survey on Attention Mechanisms in NLP Problems , 2018, IntelliSys.
[70] Chandra Bhagavatula,et al. Semi-supervised sequence tagging with bidirectional language models , 2017, ACL.
[71] Andrea Vedaldi,et al. Efficient Parametrization of Multi-domain Deep Neural Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[72] Nikolaus Kriegeskorte,et al. Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition , 2017, bioRxiv.
[73] Omer Levy,et al. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding , 2018, BlackboxNLP@EMNLP.
[74] Alexei A. Efros,et al. Colorful Image Colorization , 2016, ECCV.
[75] Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
[76] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[77] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.