| Pacgan: The power of two samples in generative adversarial networks Z Lin, A Khetan, G Fanti, S Oh Advances in neural information processing systems 31, 2018 | 414 | 2018 |
| Tab-Transformer: Tabular Data Modeling Using Contextual Embeddings. CoRR abs/2012.06678 (2020) X Huang, A Khetan, M Cvitkovic, ZS Karnin arXiv preprint arXiv:2012.06678, 2020 | 371 | 2020 |
| Robustness of conditional gans to noisy labels KK Thekumparampil, A Khetan, Z Lin, S Oh Advances in neural information processing systems 31, 2018 | 286 | 2018 |
| Learning from noisy singly-labeled data A Khetan, ZC Lipton, A Anandkumar arXiv preprint arXiv:1712.04577, 2017 | 186 | 2017 |
| Achieving budget-optimality with adaptive schemes in crowdsourcing A Khetan, S Oh Advances in Neural Information Processing Systems, 4844-4852, 2016 | 100* | 2016 |
| Data-driven Rank Breaking for Efficient Rank Aggregation A Khetan, S Oh Proceedings of The 33rd International Conference on Machine Learning 48, 2016 | 66 | 2016 |
| schubert: Optimizing elements of bert A Khetan, Z Karnin ACL 2020, 2020 | 32 | 2020 |
| Managing variable-dimension structural optimization problems using generative algorithms JT Allison, A Khetan, DJ Lohan The Proceedings of the 10th World Congress on Structural and …, 2013 | 32* | 2013 |
| Computational and statistical tradeoffs in learning to rank A Khetan, S Oh Advances in Neural Information Processing Systems 29, 2016 | 26* | 2016 |
| Matrix norm estimation from a few entries A Khetan, S Oh Advances in Neural Information Processing Systems, 6424-6433, 2017 | 22* | 2017 |
| Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection X Huang, A Khetan, R Bidart, Z Karnin Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 11 | 2022 |
| Prunenet: Channel pruning via global importance A Khetan, Z Karnin arXiv preprint arXiv:2005.11282, 2020 | 10 | 2020 |
| Darc: Differentiable architecture compression S Singh, A Khetan, Z Karnin arXiv preprint arXiv:1905.08170, 2019 | 9 | 2019 |
| Robust conditional gans under missing or uncertain labels KK Thekumparampil, S Oh, A Khetan arXiv preprint arXiv:1906.03579, 2019 | 5 | 2019 |
| Tadpole: Task adapted pre-training via anomaly detection V Madan, A Khetan, Z Karnin Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 3 | 2021 |
| Representation Projection Invariance Mitigates Representation Collapse A Razdaibiedina, A Khetan, Z Karnin, D Khashabi, V Madan Findings of the Association for Computational Linguistics: EMNLP 2023, 14638 …, 2023 | 2* | 2023 |
| Large-scale topology optimization using parameterized boolean networks A Khetan, JT Allison International Design Engineering Technical Conferences and Computers and …, 2014 | 2 | 2014 |
| Number of Connected Components in a Graph: Estimation via Counting Patterns A Khetan, H Shah, S Oh arXiv preprint arXiv:1812.00139, 2018 | | 2018 |
| PacGAN: The power of two samples in generative adversarial networks AK Khetan University of Illinois at Urbana-Champaign, 2018 | | 2018 |
| Social computation: Fundamental limits and efficient algorithms AK Khetan University of Illinois at Urbana-Champaign, 2018 | | 2018 |
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
