Publications

Google Scholar page

Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples
Shreyas Havaldar*, Jatin Chauhan*, Karthikeyan Shanmugam*, Jay Nandy and Aravindan Raghuveer
(* denotes equal contribution)
AAAI 2024 (Also at NeurIPS 2023 AFT Workshop) ; Paper | Code

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor Coley, Yizhou Sun and Wei Wang
ICLR 2024 (Also at NeurIPS 2023 AI4Science Workshop) ; Paper | Code

Universality and Limitations of Prompt Tuning
Yihan Wang, Jatin Chauhan, Wei Wang and Cho-Jui Hsieh
NeurIPS 2023 ; Paper | Code

Learning under Label Proportions for Text Classification
Jatin Chauhan, Xiaoxuan Wang and Wei Wang
EMNLP 2023 - Findings ; Paper | Code

Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets
Jay Nandy, Jatin Chauhan, Rishi Saket and Aravindan Raghuveer
CIKM 2023 ; Paper | Code

Multi-Variate Time Series Forecasting on Variable Subsets
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy and Balaraman Ravindran
KDD 2022 ; Paper | Code

Domain-Agnostic Constrastive Representations for Learning from Label Proportions
Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran and Aravindan Raghuveer
CIKM 2022 ; Paper | Code

BERTops: Studying BERT Representations under a Topological Lens
Jatin Chauhan and Manohar Kaul
IJCNN 2022 ; Paper | Code

A Probabilistic Framework for Knowledge Graph Data Augmentation
Jatin Chauhan*, Priyanshu Gupta* and Pasquale Minervini
(* denotes equal contribution)
NeurIPS 2021 DCAI Workshop ; Paper

Learning Representations using Spectral-Biased Random Walks on Graphs
Charu Sharma, Jatin Chauhan and Manohar Kaul
IJCNN 2020 ; Paper | Code | Blog

Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
Jatin Chauhan, Deepak Nathani and Manohar Kaul
ICLR 2020 ; Paper | Code | Blog

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.
Deepak Nathani*, Jatin Chauhan*, Charu Sharma* and Manohar Kaul
(* denotes equal contribution)
(ACL 2019) ; Paper | Code | Blog

Preprints and other Works

Beyond Traditional Text Classification: Generalized Zero-Shot Learning Approach for Long Documents
Under Review

Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models.
Jatin Chauhan, Karan Bhukar and Manohar Kaul
Preprint ; Paper