Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. - Deepak Nathani; Jatin Chauhan; Charu Sharma; Manohar Kaul (ACL (1), 2019)

Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. - Jatin Chauhan; Deepak Nathani; Manohar Kaul (ICLR, 2020)

Learning Representations using Spectral-Biased Random Walks on Graphs. - Charu Sharma; Jatin Chauhan; Manohar Kaul (IJCNN, 2020)

Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. - Jatin Chauhan; Karan Bhukar; Manohar Kaul (CoRR, 2021)

A Probabilistic Framework for Knowledge Graph Data Augmentation. - Jatin Chauhan; Priyanshu Gupta; Pasquale Minervini (CoRR, 2021)

Domain-Agnostic Contrastive Representations for Learning from Label Proportions. - Jay Nandy; Rishi Saket; Prateek Jain; Jatin Chauhan; Balaraman Ravindran; Aravindan Raghuveer (CIKM, 2022)

BERTops: Studying BERT Representations under a Topological Lens. - Jatin Chauhan; Manohar Kaul (IJCNN, 2022)

Multi-Variate Time Series Forecasting on Variable Subsets. - Jatin Chauhan; Aravindan Raghuveer; Rishi Saket; Jay Nandy; Balaraman Ravindran (KDD, 2022)

Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. - Jay Nandy; Jatin Chauhan; Rishi Saket; Aravindan Raghuveer (CIKM, 2023)

Learning under Label Proportions for Text Classification. - Jatin Chauhan; Xiaoxuan Wang; Wei Wang 010 (EMNLP (Findings), 2023)

Universality and Limitations of Prompt Tuning. - Yihan Wang; Jatin Chauhan; Wei Wang 010; Cho-Jui Hsieh (NeurIPS, 2023)

Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. - Shreyas Havaldar; Jatin Chauhan; Karthikeyan Shanmugam; Jay Nandy; Aravindan Raghuveer (CoRR, 2023)

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. - Shreyas Havaldar; Jatin Chauhan; Karthikeyan Shanmugam; Jay Nandy; Aravindan Raghuveer (AAAI, 2024)

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. - Yanqiao Zhu 001; Jeehyun Hwang; Keir Adams; Zhen Liu; Bozhao Nan; Brock Stenfors; Yuanqi Du; Jatin Chauhan; Olaf Wiest; Olexandr Isayev; Connor W. Coley; Yizhou Sun; et al. (ICLR, 2024)