| Politeness transfer: A tag and generate approach A Madaan, A Setlur, T Parekh, B Poczos, G Neubig, Y Yang, ... arXiv preprint arXiv:2004.14257, 2020 | 183 | 2020 |
| Explaining the efficacy of counterfactually augmented data D Kaushik, A Setlur, E Hovy, ZC Lipton arXiv preprint arXiv:2010.02114, 2020 | 76 | 2020 |
| An efficient fault tolerant workflow scheduling approach using replication heuristics and checkpointing in the cloud AR Setlur, SJ Nirmala, HS Singh, S Khoriya Journal of Parallel and Distributed Computing 136, 14-28, 2020 | 45 | 2020 |
| Is support set diversity necessary for meta-learning? A Setlur, O Li, V Smith arXiv preprint arXiv:2011.14048, 2020 | 16 | 2020 |
| Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution A Setlur, O Li, V Smith arXiv preprint arXiv:2102.11503, 2021 | 15 | 2021 |
| Context aware text-to-image synthesis S Surya, A Biswas, S Negi, AR Setlur US Patent 10,713,821, 2020 | 14 | 2020 |
| Adversarial unlearning: Reducing confidence along adversarial directions A Setlur, B Eysenbach, V Smith, S Levine Advances in Neural Information Processing Systems 35, 18556-18570, 2022 | 11 | 2022 |
| Robust handwriting recognition with limited and noisy data H Pham, A Setlur, S Dingliwal, TH Lin, B Póczos, K Huang, Z Li, J Lim, ... 2020 17th International conference on frontiers in handwriting recognition …, 2020 | 11 | 2020 |
| Project and probe: Sample-efficient domain adaptation by interpolating orthogonal features AS Chen, Y Lee, A Setlur, S Levine, C Finn arXiv preprint arXiv:2302.05441, 2023 | 10 | 2023 |
| ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis S Surya, A Setlur, A Biswas, S Negi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 10 | 2020 |
| Bitrate-constrained DRO: Beyond worst case robustness to unknown group shifts A Setlur, D Dennis, B Eysenbach, A Raghunathan, C Finn, V Smith, ... arXiv preprint arXiv:2302.02931, 2023 | 8 | 2023 |
| Complementary benefits of contrastive learning and self-training under distribution shift S Garg, A Setlur, Z Lipton, S Balakrishnan, V Smith, A Raghunathan Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Deep neural networks tend to extrapolate predictably K Kang, A Setlur, C Tomlin, S Levine arXiv preprint arXiv:2310.00873, 2023 | 3 | 2023 |
| Semi-supervised confidence network aided gated attention based recurrent neural network for clickbait detection AR Setlur arXiv preprint arXiv:1811.01355, 2018 | 3 | 2018 |
| Confidence-based model selection: When to take shortcuts for subpopulation shifts AS Chen, Y Lee, A Setlur, S Levine, C Finn arXiv preprint arXiv:2306.11120, 2023 | 2 | 2023 |
| Leveraging public representations for private transfer learning P Thaker, A Setlur, ZS Wu, V Smith arXiv preprint arXiv:2312.15551, 2023 | 1 | 2023 |
| Contextual Reliability: When Different Features Matter in Different Contexts GR Ghosal, A Setlur, DS Brown, A Dragan, A Raghunathan International Conference on Machine Learning, 11300-11320, 2023 | 1 | 2023 |
| Towards using heterogeneous relation graphs for end-to-end tts A Setlur, A Madaan, T Parekh, Y Yang, AW Black 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 1 | 2021 |
| Nonlinear isa with auxiliary variables for learning speech representations A Setlur, B Poczos, AW Black arXiv preprint arXiv:2007.12948, 2020 | 1 | 2020 |
| RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold A Setlur, S Garg, X Geng, N Garg, V Smith, A Kumar arXiv preprint arXiv:2406.14532, 2024 | | 2024 |
Virginia SmithCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
