Samarth Sinha

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Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Sayna EbrahimiResearch Scientist at GoogleVerified email at berkeley.edu
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Edgar SchönfeldMetaVerified email at meta.com
Anirudh GoyalDeepMind, Mila, Université de MontréalVerified email at umontreal.ca
Hugo LarochelleGoogle Brain & MilaVerified email at google.com
Karsten RothELLIS, IMPRS-IS, University of TübingenVerified email at uni-tuebingen.de
Homanga BharadhwajCarnegie Mellon University | Meta AIVerified email at cs.cmu.edu
Augustus OdenaResearch ScientistVerified email at columbia.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Colin RaffelUNC Chapel Hill and Hugging FaceVerified email at cs.unc.edu
Florian ShkurtiAssistant Professor, Computer Science, University of TorontoVerified email at cs.toronto.edu
Haoyu XiongCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ajay MandlekarResearch Scientist, NVIDIAVerified email at nvidia.com
Adji Bousso DiengAssistant Professor of Computer Science, Princeton UniversityVerified email at princeton.edu
Aravind SrinivasCofounder and CEO, Perplexity AIVerified email at perplexity.ai
Jiaming SongStanford UniversityVerified email at cs.stanford.edu
John ChenRice UniversityVerified email at rice.edu
Anastasios KyrillidisAssistant Professor, Computer Science Department, Rice UniversityVerified email at rice.edu

Samarth Sinha

University of Toronto

Verified email at mail.utoronto.ca - Homepage

Deep Learning


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Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata CVPR 2019, 2018	583	2018
Variational Adversarial Active Learning S Sinha, S Ebrahimi, T Darrell ICCV 2019, 2019	475	2019
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	150	2020
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning S Sinha, A Garg CoRL 2021, 2021	70*	2021
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	56*	2020
Curriculum By Smoothing S Sinha, A Garg, H Larochelle NeurIPS 2020, 2020	55*	2020
Small-GAN: Speeding Up GAN Training Using Core-sets S Sinha, H Zhang, A Goyal, Y Bengio, H Larochelle, A Odena ICML 2020, 2019	53	2019
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	46	2020
Consistency Regularization for Variational Auto-Encoders S Sinha, AB Dieng NeurIPS 2021, 2021	42	2021
D2rl: Deep dense architectures in reinforcement learning S Sinha, H Bharadhwaj, A Srinivas, A Garg NeurIPS 2020 DRL Workshop, 2020	40	2020
Experience replay with likelihood-free importance weights S Sinha, J Song, A Garg, S Ermon Learning for Dynamics and Control Conference, 110-123, 2022	34	2022
DIBS: Diversity inducing Information Bottleneck in Model Ensembles S Sinha, H Bharadhwaj, A Goyal, H Larochelle, A Garg, F Shkurti AAAI 2021, 2020	32*	2020
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	31*	2021
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	18	2021
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	11	2022
StackMix: A complementary Mix algorithm J Chen, S Sinha, A Kyrillidis Uncertainty in Artificial Intelligence, 326-335, 2022	10*	2022
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	6	2023
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	4	2023
Uniform priors for data-efficient learning S Sinha, K Roth, A Goyal, M Ghassemi, Z Akata, H Larochelle, A Garg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	4*	2022
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	4	2022

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