Samarth Sinha - RankMe

43 papers A* 13A 3Misc 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CVPR Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
2023	A*	`conf`	SparsePose: Sparse-View Camera Pose Regression and Refinement. CVPR Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2023	A	`conf`	TeST: Test-time Self-Training under Distribution Shift. WACV Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele
2023	J	`jnl`	Δ-Networks for Efficient Model Patching. CoRR Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg
2022	J	`jnl`	Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CoRR Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
2022	—	`conf`	Experience Replay with Likelihood-free Importance Weights. L4DC Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon
2022	A*	`conf`	KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. CVPR David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi
2022	A*	`conf`	Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. ICML Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara
2022	J	`jnl`	Offline Policy Optimization in RL with Variance Regularizaton. CoRR Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
2022	J	`jnl`	SparsePose: Sparse-View Camera Pose Regression and Refinement. CoRR Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2022	A	`conf`	Stackmix: a complementary mix algorithm. UAI John Chen, Samarth Sinha, Anastasios Kyrillidis
2022	J	`jnl`	TeST: Test-time Self-Training under Distribution Shift. CoRR Samarth Sinha, Peter V. Gehler, Francesco Locatello, Bernt Schiele
2022	—	`conf`	Uniform Priors for Data-Efficient Learning. CVPR Workshops Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg
2021	A*	`conf`	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. NeurIPS Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
2021	J	`jnl`	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
2021	A*	`conf`	Consistency Regularization for Variational Auto-Encoders. NeurIPS Samarth Sinha, Adji Bousso Dieng
2021	J	`jnl`	Consistency Regularization for Variational Auto-Encoders. CoRR Samarth Sinha, Adji B. Dieng
2021	A*	`conf`	DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. AAAI Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
2021	J	`jnl`	Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics. CoRR Matthias Weissenbacher, Samarth Sinha, Animesh Garg, Yoshinobu Kawahara
2021	A	`conf`	Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. IROS Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg
2021	J	`jnl`	Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. CoRR Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg
2021	Misc	`conf`	S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics. CoRL Samarth Sinha, Ajay Mandlekar, Animesh Garg
2021	J	`jnl`	S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning. CoRR Samarth Sinha, Animesh Garg
2020	A*	`conf`	Curriculum By Smoothing. NeurIPS Samarth Sinha, Animesh Garg, Hugo Larochelle
2020	J	`jnl`	Curriculum By Texture. CoRR Samarth Sinha, Animesh Garg, Hugo Larochelle
2020	J	`jnl`	D2RL: Deep Dense Architectures in Reinforcement Learning. CoRR Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg
2020	J	`jnl`	DIBS: Diversity inducing Information Bottleneck in Model Ensembles. CoRR Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
2020	—	`conf`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Experience Replay with Likelihood-free Importance Weights. CoRR Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon
2020	J	`jnl`	ImCLR: Implicit Contrastive Learning for Image Classification. CoRR John Chen, Samarth Sinha, Anastasios Kyrillidis
2020	J	`jnl`	Maximum Entropy Models for Fast Adaptation. CoRR Samarth Sinha, Anirudh Goyal, Animesh Garg
2020	A*	`conf`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	A*	`conf`	Small-GAN: Speeding up GAN Training using Core-Sets. ICML Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
2020	J	`jnl`	Top-K Training of GANs: Improving Generators by Making Critics Less Critical. CoRR Samarth Sinha, Anirudh Goyal, Colin Raffel, Augustus Odena
2020	A*	`conf`	Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples. NeurIPS Samarth Sinha, Zhengli Zhao, Anirudh Goyal, Colin Raffel, Augustus Odena
2019	A*	`conf`	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2019	—	`conf`	Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2019	J	`jnl`	Small-GAN: Speeding Up GAN Training Using Core-sets. CoRR Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena
2019	A*	`conf`	Variational Adversarial Active Learning. ICCV Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
2019	J	`jnl`	Variational Adversarial Active Learning. CoRR Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
2018	J	`jnl`	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata