Jatin Chauhan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Directed Acyclic

High Dimensional Spaces

Multiple Representations

Categorical Variables

Top Venues

Publications

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI (2024)
Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR (2024)
Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR (2023)
Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR (2023)
Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh
Universality and Limitations of Prompt Tuning. NeurIPS (2023)
Jatin Chauhan, Xiaoxuan Wang, Wei Wang
Learning under Label Proportions for Text Classification. CoRR (2023)
Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM (2023)
Jatin Chauhan, Xiaoxuan Wang, Wei Wang
Learning under Label Proportions for Text Classification. EMNLP (Findings) (2023)
Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh
Universality and Limitations of Prompt Tuning. CoRR (2023)
Jatin Chauhan, Manohar Kaul
BERTops: Studying BERT Representations under a Topological Lens. IJCNN (2022)
Jatin Chauhan, Manohar Kaul
BERTops: Studying BERT Representations under a Topological Lens. CoRR (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR (2022)
Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. KDD (2022)
Jatin Chauhan, Karan Bhukar, Manohar Kaul
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. CoRR (2021)
Jatin Chauhan, Priyanshu Gupta, Pasquale Minervini
A Probabilistic Framework for Knowledge Graph Data Augmentation. CoRR (2021)
Charu Sharma, Jatin Chauhan, Manohar Kaul
Learning Representations using Spectral-Biased Random Walks on Graphs. IJCNN (2020)
Jatin Chauhan, Deepak Nathani, Manohar Kaul
Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. ICLR (2020)
Jatin Chauhan, Deepak Nathani, Manohar Kaul
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. CoRR (2020)
Charu Sharma, Jatin Chauhan, Manohar Kaul
Learning Representations using Spectral-Biased Random Walks on Graphs. CoRR (2020)
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. CoRR (2019)
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. ACL (1) (2019)