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Alexander (Sasha) Sax
Alexander (Sasha) Sax
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Taskonomy: Disentangling task transfer learning
AR Zamir, A Sax, W Shen, LJ Guibas, J Malik, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2018
8192018
Joint 2d-3d-semantic data for indoor scene understanding
I Armeni, S Sax, AR Zamir, S Savarese
arXiv preprint arXiv:1702.01105, 2017
5522017
Gibson env: Real-world perception for embodied agents
F Xia, AR Zamir, Z He, A Sax, J Malik, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4422018
Mid-level visual representations improve generalization and sample efficiency for learning visuomotor policies
A Sax, B Emi, AR Zamir, L Guibas, S Savarese, J Malik
arXiv preprint arXiv:1812.11971, 2018
93*2018
Robust learning through cross-task consistency
AR Zamir, A Sax, N Cheerla, R Suri, Z Cao, J Malik, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
682020
Side-Tuning: Network Adaptation via Additive Side Networks
JO Zhang, A Sax, A Zamir, L Guibas, J Malik
arXiv preprint arXiv:1912.13503, 2019
32*2019
Robust policies via mid-level visual representations: An experimental study in manipulation and navigation
B Chen, A Sax, G Lewis, I Armeni, S Savarese, A Zamir, J Malik, L Pinto
arXiv preprint arXiv:2011.06698, 2020
202020
Flame wars: Automatic insult detection
S Sax
Technical report, Stanford University, 2016
172016
Robustness via Cross-Domain Ensembles
T Yeo, OF Kar, A Sax, A Zamir
arXiv preprint arXiv:2103.10919, 2021
92021
Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans
A Eftekhar, A Sax, J Malik, A Zamir
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
92021
Mid-Level Vision at Habitat Challenge
A Sax, JO Zhang, B Zamir, Emi, A Zamir, S Savarese, L Guibas, J Malik
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Articles 1–11