🏙️ Works of Research Triangle from 2018

9 works · the most cited first · ← Research Triangle

1. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models InsteadNature Machine IntelligenceCynthia Rudin2018 · 10,460 citations
2. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Yen-Chun Chen, Mohit Bansal2018 · 826 citations
3. TVQA: Localized, Compositional Video Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 687 citations
4. Joint Embedding of Words and Labels for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoyin Wang, Chunyuan Li, Wenlin Wang, et al.2018 · 465 citations
5. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsAnnual Meeting of the Association for Computational Linguistics (ACL)Dinghan Shen, Guoyin Wang, Wenlin Wang, et al.2018 · 386 citations
6. Multi-Reward Reinforced Summarization with Saliency and EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ramakanth Pasunuru, Mohit Bansal2018 · 255 citations
7. Commonsense for Generative Multi-Hop Question Answering TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Lisa Bauer, Yicheng Wang, Mohit Bansal2018 · 229 citations
8. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
9. Analyzing Compositionality-Sensitivity of NLI ModelsProceedings of the AAAI Conference on Artificial IntelligenceYixin Nie, Yicheng Wang, Mohit Bansal2018 · 121 citations

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