Jatin Chauhan - RankMe

22 papers A* 5A 2B 2Journal 11Unranked 2

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