Jatin Chauhan

According to our database, Jatin Chauhan authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 W. Coley, Yizhou Sun, Wei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift.

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer

CoRR, 2023

Universality and Limitations of Prompt Tuning.

Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning under Label Proportions for Text Classification.

Jatin Chauhan, Xiaoxuan Wang, Wei Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets.

Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Variate Time Series Forecasting on Variable Subsets.

Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

BERTops: Studying BERT Representations under a Topological Lens.

Jatin Chauhan, Manohar Kaul

Proceedings of the International Joint Conference on Neural Networks, 2022

Domain-Agnostic Contrastive Representations for Learning from Label Proportions.

Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Probabilistic Framework for Knowledge Graph Data Augmentation.

Jatin Chauhan, Priyanshu Gupta, Pasquale Minervini

CoRR, 2021

Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models.

Jatin Chauhan, Karan Bhukar, Manohar Kaul

CoRR, 2021

2020

Learning Representations using Spectral-Biased Random Walks on Graphs.

Charu Sharma, Jatin Chauhan, Manohar Kaul

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures.

Jatin Chauhan, Deepak Nathani, Manohar Kaul

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.

Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019