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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Learning of Discrete Graphical Models with Neural Networks NIPS 2020
Self-supervised Co-Training for Video Representation Learning NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision NIPS 2020
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention NIPS 2020
From Boltzmann Machines to Neural Networks and Back Again NIPS 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning NIPS 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
Self-Supervised Few-Shot Learning on Point Clouds NIPS 2020
Language and Visual Entity Relationship Graph for Agent Navigation NIPS 2020
Cycle-Contrast for Self-Supervised Video Representation Learning NIPS 2020
Multi-label Contrastive Predictive Coding NIPS 2020
Offline Imitation Learning with a Misspecified Simulator NIPS 2020
Debiased Contrastive Learning NIPS 2020
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals NIPS 2020
Learning Mutational Semantics NIPS 2020
Self-Paced Deep Reinforcement Learning NIPS 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning NIPS 2020
Listening to Sounds of Silence for Speech Denoising NIPS 2020
Self-Supervised Learning by Cross-Modal Audio-Video Clustering NIPS 2020
Self-supervised learning through the eyes of a child NIPS 2020
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching NIPS 2020
Learning Multi-Agent Communication through Structured Attentive Reasoning NIPS 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs NIPS 2020
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain NIPS 2020