| Learning attention-based embeddings for relation prediction in knowledge graphs D Nathani, J Chauhan, C Sharma, M Kaul Association for Computational Linguistics (ACL) 2019, 2019 | 614 | 2019 |
| Few-shot learning on graphs via super-classes based on graph spectral measures J Chauhan, D Nathani, M Kaul International Conference on Learning Representations (ICLR) 2020, 2020 | 69 | 2020 |
| Multi-variate time series forecasting on variable subsets J Chauhan, A Raghuveer, R Saket, J Nandy, B Ravindran Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 7 | 2022 |
| Learning attention-based embeddings for relation prediction in knowledge graphs. arXiv 2019 D Nathani, J Chauhan, C Sharma, M Kaul arXiv preprint arXiv:1906.01195, 0 | 7 | |
| Universality and Limitations of Prompt Tuning Y Wang, J Chauhan, W Wang, CJ Hsieh 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 4 | 2023 |
| Domain-agnostic contrastive representations for learning from label proportions J Nandy, R Saket, P Jain, J Chauhan, B Ravindran, A Raghuveer Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Bertops: Studying bert representations under a topological lens J Chauhan, M Kaul 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Learning representations using spectral-biased random walks on graphs C Sharma, J Chauhan, M Kaul 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| A Probabilistic Framework for Knowledge Graph Data Augmentation J Chauhan, P Gupta, P Minervini Conference on Neural Information Processing Systems (NeurIPS) 2021 DCAI Workshop, 2021 | 2 | 2021 |
| Target model agnostic adversarial attacks with query budgets on language understanding models J Chauhan, K Bhukar, M Kaul arXiv preprint arXiv:2106.07047, 2021 | 2 | 2021 |
| Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks Y Zhu, J Hwang, K Adams, Z Liu, B Nan, B Stenfors, Y Du, J Chauhan, ... Internation Conference on Learning Representation, ICLR, 2024, 2024 | 1 | 2024 |
| Learning under Label Proportions for Text Classification J Chauhan, X Wang, W Wang Findings of EMNLP 2023, 2023 | 1 | 2023 |
| Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples S Havaldar, J Chauhan, K Shanmugam, J Nandy, A Raghuveer Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12331 …, 2024 | | 2024 |
| Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift S Havaldar, J Chauhan, K Shanmugam, J Nandy, A Raghuveer The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24), 2024 | | 2024 |
| Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets J Nandy, J Chauhan, R Saket, A Raghuveer Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Unsupervised Adaptation for Fairness under Covariate Shift J Chauhan, S Havaldar, K Shanmugam, J Nandy, A Raghuveer | | 2022 |
