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Vaishaal Shankar
Vaishaal Shankar
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Title
Cited by
Cited by
Year
Do imagenet classifiers generalize to imagenet?
B Recht, R Roelofs, L Schmidt, V Shankar
International Conference on Machine Learning, 5389-5400, 2019
721*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
3882019
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
1642020
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
1082015
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
802019
Numpywren: Serverless linear algebra
V Shankar, K Krauth, Q Pu, E Jonas, S Venkataraman, I Stoica, B Recht, ...
arXiv preprint arXiv:1810.09679, 2018
75*2018
Reviewer integration and performance measurement for malware detection
B Miller, A Kantchelian, MC Tschantz, S Afroz, R Bachwani, ...
International Conference on Detection of Intrusions and Malware, and …, 2016
612016
Flare prediction using photospheric and coronal image data
E Jonas, M Bobra, V Shankar, J Todd Hoeksema, B Recht
Solar Physics 293 (3), 1-22, 2018
602018
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
572020
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
532020
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
51*2021
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
302021
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
152017
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), 1-11, 2021
142021
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
112021
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
9*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
62015
Approximate subgraph isomorphism for image localization
V Shankar, J Zhang, J Chen, C Dinh, M Clements, A Zakhor
Electronic Imaging 2016 (15), 1-9, 2016
12016
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
arXiv preprint arXiv:2205.01397, 2022
2022
From Distribution Shift to Kernel Methods: A study of empirical phenomena in machine learning
V Shankar
University of California, Berkeley, 2020
2020
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Articles 1–20