| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 976 | 2022 |
| Gflownet foundations Y Bengio, S Lahlou, T Deleu, EJ Hu, M Tiwari, E Bengio The Journal of Machine Learning Research 24 (1), 10006-10060, 2023 | 169 | 2023 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 71 | 2021 |
| BanditPAM: Almost Linear Time -Medoids Clustering via Multi-Armed Bandits M Tiwari, MJ Zhang, J Mayclin, S Thrun, C Piech, I Shomorony Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 42 | 2020 |
| Landscape analysis of the application of artificial intelligence and machine learning in regulatory submissions for drug development from 2016 to 2021 Q Liu, R Huang, J Hsieh, H Zhu, M Tiwari, G Liu, D Jean, MK ElZarrad, ... Clinical pharmacology and therapeutics 113 (4), 771-774, 2023 | 40 | 2023 |
| Differentiation of active corneal infections from healed scars using deep learning M Tiwari, C Piech, M Baitemirova, NV Prajna, M Srinivasan, P Lalitha, ... Ophthalmology 129 (2), 139-146, 2022 | 30 | 2022 |
| Image compression and classification using qubits and quantum deep learning A Mohsen, M Tiwari arXiv preprint arXiv:2110.05476, 2021 | 9 | 2021 |
| Using Google search trends to estimate global patterns in learning S Arslan, M Tiwari, C Piech Proceedings of the seventh acm conference on learning@ scale, 185-195, 2020 | 6 | 2020 |
| MABSplit: Faster Forest Training Using Multi-Armed Bandits M Tiwari, R Kang, JY Lee, S Thrun, C Piech, I Shomorony, MJ Zhang Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | 5 | 2022 |
| Faster Maximum Inner Product Search in High Dimensions M Tiwari, R Kang, JY Lee, D Lee, C Piech, S Thrun, I Shomorony, ... arXiv preprint arXiv:2212.07551, 2022 | 4 | 2022 |
| CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models JY Lee, D Lee, G Zhang, M Tiwari, A Mirhoseini arXiv preprint arXiv:2404.08763, 2024 | 3 | 2024 |
| BanditPAM++: Faster -medoids Clustering M Tiwari, R Kang, D Lee, S Thrun, I Shomorony, MJ Zhang Advances in Neural Information Processing Systems 36, 73371-73382, 2023 | 2 | 2023 |
| Bayesian decision trees via tractable priors and probabilistic context-free grammars C Sullivan, M Tiwari, S Thrun, C Piech arXiv preprint arXiv:2302.07407, 2023 | 1 | 2023 |
| Accelerating machine learning algorithms with adaptive sampling M Tiwari Stanford University, 2023 | 1 | 2023 |
| MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees C Sullivan, M Tiwari, S Thrun Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9019-9026, 2024 | | 2024 |
| Harnessing the power of choices in decision tree learning G Blanc, J Lange, C Pabbaraju, C Sullivan, LY Tan, M Tiwari Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| CATS: Context-Aware Thresholding for Sparsity in Large Language Models D Lee, J Lee, G Zhang, M Tiwari, A Mirhoseini First Conference on Language Modeling, 0 | | |
| Machine Learning Classification of Bacterial vs Fungal Keratitis from Photographs K Supakkul, K Chang, R Beauchamp, M Tiwari | | |
Chris PiechAssistant Professor, Stanford University在 cs.stanford.edu 的电子邮件经过验证
