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Samarth Sinha
Samarth Sinha
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders
E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata
CVPR 2019, 2018
7172018
Variational Adversarial Active Learning
S Sinha, S Ebrahimi, T Darrell
ICCV 2019, 2019
6202019
Revisiting training strategies and generalization performance in deep metric learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
ICML 2020, 2020
1852020
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
S Sinha, A Garg
CoRL 2021, 2021
104*2021
Curriculum By Smoothing
S Sinha, A Garg, H Larochelle
NeurIPS 2020, 2020
792020
Small-GAN: Speeding Up GAN Training Using Core-sets
S Sinha, H Zhang, A Goyal, Y Bengio, H Larochelle, A Odena
ICML 2020, 2019
732019
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
ECCV 2020, 2020
68*2020
Consistency Regularization for Variational Auto-Encoders
S Sinha, AB Dieng
NeurIPS 2021, 2021
632021
D2rl: Deep dense architectures in reinforcement learning
S Sinha, H Bharadhwaj, A Srinivas, A Garg
NeurIPS 2020 DRL Workshop, 2020
612020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
S Sinha, Z Zhao, AG ALIAS PARTH GOYAL, CA Raffel, A Odena
NeurIPS 2020 33, 2020
612020
Experience replay with likelihood-free importance weights
S Sinha, J Song, A Garg, S Ermon
Learning for Dynamics and Control Conference, 110-123, 2022
522022
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
H Xiong, Q Li, YC Chen, H Bharadhwaj, S Sinha, A Garg
IROS 2021, 2021
522021
DIBS: Diversity inducing Information Bottleneck in Model Ensembles
S Sinha, H Bharadhwaj, A Goyal, H Larochelle, A Garg, F Shkurti
AAAI 2021, 2020
462020
Sparsepose: Sparse-view camera pose regression and refinement
S Sinha, JY Zhang, A Tagliasacchi, I Gilitschenski, DB Lindell
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
282023
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
T Milbich, K Roth, S Sinha, L Schmidt, M Ghassemi, B Ommer
NeurIPS 2021, 2021
252021
Koopman q-learning: Offline reinforcement learning via symmetries of dynamics
M Weissenbacher, S Sinha, A Garg, K Yoshinobu
International conference on machine learning, 23645-23667, 2022
242022
Stackmix: A complementary mix algorithm
J Chen, S Sinha, A Kyrillidis
Uncertainty in Artificial Intelligence, 326-335, 2022
15*2022
Test: Test-time self-training under distribution shift
S Sinha, P Gehler, F Locatello, B Schiele
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
132023
Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories
S Sinha, R Shapovalov, J Reizenstein, I Rocco, N Neverova, A Vedaldi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
Keytr: Keypoint transporter for 3d reconstruction of deformable objects in videos
D Novotny, I Rocco, S Sinha, A Carlier, G Kerchenbaum, R Shapovalov, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
82022
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