| Do imagenet classifiers generalize to imagenet? B Recht, R Roelofs, L Schmidt, V Shankar International conference on machine learning, 5389-5400, 2019 | 2209* | 2019 |
| Cloud programming simplified: A berkeley view on serverless computing E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019 | 813 | 2019 |
| Measuring robustness to natural distribution shifts in image classification R Taori, A Dave, V Shankar, N Carlini, B Recht, L Schmidt Advances in Neural Information Processing Systems 33, 18583-18599, 2020 | 597 | 2020 |
| Openclip, July 2021 G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ... URL https://doi. org/10.5281/zenodo 5143773, 29, 0 | 491* | |
| Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... Advances in Neural Information Processing Systems 36, 2024 | 298 | 2024 |
| Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization JP Miller, R Taori, A Raghunathan, S Sagawa, PW Koh, V Shankar, ... International conference on machine learning, 7721-7735, 2021 | 290 | 2021 |
| A meta-analysis of overfitting in machine learning R Roelofs, V Shankar, B Recht, S Fridovich-Keil, M Hardt, J Miller, ... Advances in Neural Information Processing Systems 32, 2019 | 226 | 2019 |
| Numpywren: Serverless linear algebra V Shankar, K Krauth, Q Pu, E Jonas, S Venkataraman, I Stoica, B Recht, ... arXiv preprint arXiv:1810.09679, 2018 | 177* | 2018 |
| Evaluating machine accuracy on imagenet V Shankar, R Roelofs, H Mania, A Fang, B Recht, L Schmidt International Conference on Machine Learning, 8634-8644, 2020 | 174 | 2020 |
| Predicting with confidence on unseen distributions D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 148 | 2021 |
| Better malware ground truth: Techniques for weighting anti-virus vendor labels A Kantchelian, MC Tschantz, S Afroz, B Miller, V Shankar, R Bachwani, ... Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security …, 2015 | 139 | 2015 |
| Data determines distributional robustness in contrastive language image pre-training (clip) A Fang, G Ilharco, M Wortsman, Y Wan, V Shankar, A Dave, L Schmidt International Conference on Machine Learning, 6216-6234, 2022 | 131 | 2022 |
| A generalizable and accessible approach to machine learning with global satellite imagery E Rolf, J Proctor, T Carleton, I Bolliger, V Shankar, M Ishihara, B Recht, ... Nature communications 12 (1), 4392, 2021 | 120 | 2021 |
| Openclip, 2021 G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ... If you use this software, please cite it as below 3 (5), 0 | 108 | |
| Do image classifiers generalize across time? V Shankar, A Dave, R Roelofs, D Ramanan, B Recht, L Schmidt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 106* | 2021 |
| Reviewer integration and performance measurement for malware detection B Miller, A Kantchelian, MC Tschantz, S Afroz, R Bachwani, ... Detection of Intrusions and Malware, and Vulnerability Assessment: 13th …, 2016 | 105 | 2016 |
| Neural kernels without tangents V Shankar, A Fang, W Guo, S Fridovich-Keil, J Ragan-Kelley, L Schmidt, ... International conference on machine learning, 8614-8623, 2020 | 103 | 2020 |
| Flare prediction using photospheric and coronal image data E Jonas, M Bobra, V Shankar, J Todd Hoeksema, B Recht Solar Physics 293 (3), 48, 2018 | 101 | 2018 |
| Data filtering networks A Fang, AM Jose, A Jain, L Schmidt, A Toshev, V Shankar arXiv preprint arXiv:2309.17425, 2023 | 83 | 2023 |
| Scalable pre-training of large autoregressive image models A El-Nouby, M Klein, S Zhai, MA Bautista, A Toshev, V Shankar, ... arXiv preprint arXiv:2401.08541, 2024 | 41 | 2024 |
Ludwig SchmidtStanford University and AnthropicVerified email at cs.washington.edu