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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Learning Invariances in Neural Networks from Training Data NIPS 2020
Inverse Learning of Symmetries NIPS 2020
Learning to Prove Theorems by Learning to Generate Theorems NIPS 2020
3D Self-Supervised Methods for Medical Imaging NIPS 2020
The Convolution Exponential and Generalized Sylvester Flows NIPS 2020
Regularizing Towards Permutation Invariance In Recurrent Models NIPS 2020
Pre-training via Paraphrasing NIPS 2020
Learning Agent Representations for Ice Hockey NIPS 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing NIPS 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning NIPS 2020
Space-Time Correspondence as a Contrastive Random Walk NIPS 2020
Learning Retrospective Knowledge with Reverse Reinforcement Learning NIPS 2020
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data NIPS 2020
Latent Template Induction with Gumbel-CRFs NIPS 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising NIPS 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning NIPS 2020
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NIPS 2020
Hard Negative Mixing for Contrastive Learning NIPS 2020
One-sample Guided Object Representation Disassembling NIPS 2020
Big Self-Supervised Models are Strong Semi-Supervised Learners NIPS 2020
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning NIPS 2020
Learning a Decision Module by Imitating Driver’s Control Behaviors CORL 2020
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting CORL 2020
Augmenting GAIL with BC for sample efficient imitation learning CORL 2020
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks CORL 2020