Divyansh Kaushik

Robustifying NLP with humans in the loop.

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Complete Publications

Here is the list of my papers published so far. Any current submissions are not included.
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Conference Papers

  1. Dynabench: Rethinking Benchmarking in NLP
    D. Kiela, M. Bartolo, Y. Nie, D. Kaushik, A. Geiger, Z. Wu, B. Vidgen, G. Prasad, A. Singh, P. Ringshia., Z. Ma, T. Thrush, S. Riedel, Z. Waseem, P. Stenetorp, R. Jia, M. Bansal, C. Potts, A. Williams
    North American Chapter of the Association for Computational Linguistics (NAACL) 2021
  2. Explaining the Efficacy of Counterfactually Augmented Data
    D. Kaushik, A. Setlur, E. Hovy, Z. C. Lipton
    International Conference on Learning Representations (ICLR) 2021
  3. Learning the Difference that Makes a Difference with Counterfactually-Augmented Data (ICLR 2020 Spotlight)
    D. Kaushik, E. Hovy, Z. C. Lipton
    International Conference on Learning Representations (ICLR) 2020
  4. Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
    Y. Wu, E. Winston, D. Kaushik, Z. C. Lipton
    International Conference on Machine Learning (ICML) 2019
  5. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks (EMNLP 2018 Best Short Paper)
    D. Kaushik, Z. C. Lipton
    Empirical Methods in Natural Language Processing (EMNLP) 2018
  6. Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition
    D. Kaushik, S. Gupta, M. C. Raju, R. Dias, S. Ghosh
    Recent Advances in Natural Language Processing (RANLP) 2017
  7. Application of Data Mining for High Accuracy Prediction of Breast Tissue Biopsy Results
    D. Kaushik, K. Kaur
    IEEE Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) 2016
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