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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks NIPS 2020
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NIPS 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations NIPS 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations NIPS 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes NIPS 2020
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration NIPS 2020
CompRess: Self-Supervised Learning by Compressing Representations NIPS 2020
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network NIPS 2020
Self-Learning Transformations for Improving Gaze and Head Redirection NIPS 2020
Instance-wise Feature Grouping NIPS 2020
Robust Disentanglement of a Few Factors at a Time using rPU-VAE NIPS 2020
Deep Automodulators NIPS 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NIPS 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning NIPS 2020
A Biologically Plausible Neural Network for Slow Feature Analysis NIPS 2020
Online Adaptation for Consistent Mesh Reconstruction in the Wild NIPS 2020
The Autoencoding Variational Autoencoder NIPS 2020
Variational Amodal Object Completion NIPS 2020
Universal Domain Adaptation through Self Supervision NIPS 2020
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​ NIPS 2020
Self-Supervised Visual Representation Learning from Hierarchical Grouping NIPS 2020
Contrastive Learning with Adversarial Examples NIPS 2020
Functional Regularization for Representation Learning: A Unified Theoretical Perspective NIPS 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NIPS 2020