Sinha, Samarth

19 publications

CVPR 2023 Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotny

CVPR 2023 SparsePose: Sparse-View Camera Pose Regression and Refinement Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell

WACV 2023 TeST: Test-Time Self-Training Under Distribution Shift Samarth Sinha, Peter Gehler, Francesco Locatello, Bernt Schiele

L4DC 2022 Experience Replay with Likelihood-Free Importance Weights Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon

CVPR 2022 KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos David Novotny, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

ICML 2022 Koopman Q-Learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Kawahara Yoshinobu

UAI 2022 Stackmix: A Complementary Mix Algorithm John Chen, Samarth Sinha, Anastasios Kyrillidis

CVPRW 2022 Uniform Priors for Data-Efficient Learning Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg

NeurIPS 2021 Characterizing Generalization Under Out-of-Distribution Shifts in Deep Metric Learning Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Bjorn Ommer

NeurIPS 2021 Consistency Regularization for Variational Auto-Encoders Samarth Sinha, Adji Bousso Dieng

AAAI 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

CoRL 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics Samarth Sinha, Ajay Mandlekar, Animesh Garg

NeurIPS 2020 Curriculum by Smoothing Samarth Sinha, Animesh Garg, Hugo Larochelle

ECCV 2020 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

ICML 2020 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen

ICML 2020 Small-GAN: Speeding up GAN Training Using Core-Sets Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena

NeurIPS 2020 Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples Samarth Sinha, Zhengli Zhao, Anirudh Goyal ALIAS PARTH Goyal, Colin A Raffel, Augustus Odena

ICLRW 2019 Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

CVPRW 2019 Generalized Zero-Shot Learning via Aligned Variational Autoencoders Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata