Divyansh Kaushik
Federation of American Scientists(US)
Publications by Year
Research Areas
Topic Modeling, Domain Adaptation and Few-Shot Learning, Natural Language Processing Techniques, Ethics and Social Impacts of AI, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Learning the Difference that Makes a Difference with Counterfactually-Augmented Data(2019)232 cited
- → Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment(2019)58 cited
- → Application of Data Mining for high accuracy prediction of breast tissue biopsy results(2016)29 cited
- → How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks(2018)14 cited
- → Dynabench: Rethinking Benchmarking in NLP(2021)14 cited
- → The impact of international scientists, engineers, and students on U.S. research outputs and global competitiveness(2021)11 cited
- → Explaining The Efficacy of Counterfactually Augmented Data(2020)7 cited
- → Practical Benefits of Feature Feedback Under Distribution Shift(2022)4 cited