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← Authors

Samarth Sinha

18 papers · 2019–2023 · 10 conferences · across top CS/AI conferences

Achievements

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Conferences

CVPR (4) NIPS (4) ICML (3) AAAI (1) CORL (1) ECCV (1) ICCV (1) L4DC (1) UAI (1) WACV (1)

Top co-authors

Animesh Garg (5) Hugo Larochelle (3) Timo Milbich (3) Bjorn Ommer (3) Karsten Roth (3) Ignacio Rocco (2) Anirudh Goyal (2) Sayna Ebrahimi (2) Augustus Odena (2) Trevor Darrell (2)

Research topics

Reinforcement Learning (1)

Keywords

representation learning (3) variational autoencoder (3) data augmentation (3) 3d reconstruction (3) offline reinforcement learning (2) semi-supervised learning (2) deformable object (2) latent space (2) generative adversarial network (2) few-shot learning (2) convolutional neural network (2) distribution shift (2) active learning (2) latent representation (2) deep metric learning (2) domain adaptation (1) variational inference (1) benchmark evaluation (1) image generation (1) image segmentation (1)

Papers

TeST: Test-Time Self-Training Under Distribution Shift WACV 2023 SparsePose: Sparse-View Camera Pose Regression and Refinement CVPR 2023 Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories CVPR 2023 KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos CVPR 2022 Stackmix: a complementary mix algorithm UAI 2022 Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics ICML 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CORL 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021 Consistency Regularization for Variational Auto-Encoders NIPS 2021 Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples NIPS 2020 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning ICML 2020 Small-GAN: Speeding up GAN Training using Core-Sets ICML 2020 Curriculum By Smoothing NIPS 2020 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning ECCV 2020 Variational Adversarial Active Learning ICCV 2019 Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019