Vaishaal Shankar
Vaishaal Shankar
Verifierad e-postadress på amazon.com - Startsida
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Do imagenet classifiers generalize to imagenet?
B Recht, R Roelofs, L Schmidt, V Shankar
arXiv preprint arXiv:1902.10811, 2019
284*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
1582019
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
722015
Flare prediction using photospheric and coronal image data
E Jonas, M Bobra, V Shankar, JT Hoeksema, B Recht
Solar Physics 293 (3), 48, 2018
452018
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
372016
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
182020
Do Image Classifiers Generalize Across Time?
V Shankar, A Dave, R Roelofs, D Ramanan, B Recht, L Schmidt
arXiv preprint arXiv:1906.02168, 2019
17*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
152018
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, 2020
14*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, 9179-9189, 2019
122019
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
102017
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
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
42020
Serverless Straggler Mitigation using Local Error-Correcting Codes
V Gupta, D Carrano, Y Yang, V Shankar, T Courtade, K Ramchandran
arXiv preprint arXiv:2001.07490, 2020
32020
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
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, ...
NBER Working Paper, 2020
2020
From Distribution Shift to Kernel Methods: A study of empirical phenomena in machine learning
V Shankar
UC Berkeley, 2020
2020
Generalized Planetary Remote Sensing
E Rolf, J Proctor, T Carleton, IW Bolliger, V Shankar, M Ishihara, B Recht, ...
AGUFM 2019, GC34C-07, 2019
2019
Convolutions of random patches as a generalizable featurization for multi-domain prediction using remote sensing imagery
IW Bolliger, T Carleton, SM Hsiang, J Kadish, J Proctor, B Recht, E Rolf, ...
AGUFM 2018, H34B-05, 2018
2018
Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis
I Bolliger, T Carleton, S Hsiang, J Kadish, J Proctor, B Recht, E Rolf, ...
arXiv preprint arXiv:1710.09342, 2017
2017
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Artiklar 1–20