暂无分享,去创建一个
Alessandro Sordoni | Meghana Moorthy Bhat | Subhabrata Mukherjee | Alessandro Sordoni | Subhabrata Mukherjee
[1] Andreas Vlachos,et al. FEVER: a Large-scale Dataset for Fact Extraction and VERification , 2018, NAACL.
[2] Dong-Hyun Lee,et al. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks , 2013 .
[3] Rayid Ghani,et al. Analyzing the effectiveness and applicability of co-training , 2000, CIKM '00.
[4] David Yarowsky,et al. Unsupervised Word Sense Disambiguation Rivaling Supervised Methods , 1995, ACL.
[5] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[6] Subhabrata Mukherjee,et al. Uncertainty-aware Self-training for Few-shot Text Classification , 2020, NeurIPS.
[7] Byron C. Wallace,et al. Learning to Faithfully Rationalize by Construction , 2020, ACL.
[8] Tommi S. Jaakkola,et al. Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control , 2019, EMNLP.
[9] Byron C. Wallace,et al. ERASER: A Benchmark to Evaluate Rationalized NLP Models , 2020, ACL.
[10] Bo Pang,et al. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.
[11] Samy Bengio,et al. Understanding deep learning requires rethinking generalization , 2016, ICLR.
[12] Hannaneh Hajishirzi,et al. An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction , 2020, EMNLP.
[13] William W. Cohen,et al. Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? , 2020, TACL.
[14] Quoc V. Le,et al. Rethinking Pre-training and Self-training , 2020, NeurIPS.
[15] Thomas Lukasiewicz,et al. e-SNLI: Natural Language Inference with Natural Language Explanations , 2018, NeurIPS.
[16] Regina Barzilay,et al. Rationalizing Neural Predictions , 2016, EMNLP.
[17] Regina Barzilay,et al. Inferring Which Medical Treatments Work from Reports of Clinical Trials , 2019, NAACL.
[18] Quoc V. Le,et al. Self-Training With Noisy Student Improves ImageNet Classification , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Ming-Wei Chang,et al. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions , 2019, NAACL.
[20] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[21] Ahmed Hassan Awadallah,et al. Adaptive Self-training for Few-shot Neural Sequence Labeling , 2020, ArXiv.
[22] Bin Yang,et al. Learning to Reweight Examples for Robust Deep Learning , 2018, ICML.