| Do imagenet classifiers generalize to imagenet? B Recht, R Roelofs, L Schmidt, V Shankar International conference on machine learning, 5389-5400, 2019 | 1227* | 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 | 534 | 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 | 321 | 2020 |
| 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 | 129 | 2019 |
| 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 | 124 | 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 | 124 | 2015 |
| Numpywren: Serverless linear algebra V Shankar, K Krauth, Q Pu, E Jonas, S Venkataraman, I Stoica, B Recht, ... arXiv preprint arXiv:1810.09679, 2018 | 114* | 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 | 104 | 2020 |
| 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 | 80 | 2020 |
| 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 | 76 | 2016 |
| 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 | 73 | 2018 |
| 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 | 67* | 2021 |
| Openclip, July 2021 G Ilharco, M Wortsman, N Carlini, R Taori, A Dave, V Shankar, ... If you use this software, please cite it as below 5, 0 | 48 | |
| 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 | 47 | 2021 |
| 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 | 44 | 2021 |
| 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 | 38 | 2022 |
| Convolutional kitchen sinks for transcription factor binding site prediction A Morrow, V Shankar, D Petersohn, A Joseph, B Recht, N Yosef arXiv preprint arXiv:1706.00125, 2017 | 19 | 2017 |
| Serverless straggler mitigation using error-correcting codes V Gupta, D Carrano, Y Yang, V Shankar, T Courtade, K Ramchandran 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 10* | 2020 |
| Back to the future: Malware detection with temporally consistent labels B Miller, A Kantchelian, S Afroz, R Bachwani, R Faizullabhoy, L Huang, ... Under submission, 2015 | 6 | 2015 |
| Dynamic hand gesture synthesis and animation using image morphing technique VN Shankar, D Ghosh IET Digital Library, 2006 | 6 | 2006 |
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
