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Machine Learning
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Self-Supervised Learning
8,255 papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
NIPS 2021
Accumulative Poisoning Attacks on Real-time Data
NIPS 2021
Invariant Causal Imitation Learning for Generalizable Policies
NIPS 2021
IQ-Learn: Inverse soft-Q Learning for Imitation
NIPS 2021
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
NIPS 2021
See More for Scene: Pairwise Consistency Learning for Scene Classification
NIPS 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
NIPS 2021
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
NIPS 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
NIPS 2021
MarioNette: Self-Supervised Sprite Learning
NIPS 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
NIPS 2021
Computer-Aided Design as Language
NIPS 2021
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
NIPS 2021
Contrastive Learning of Global and Local Video Representations
NIPS 2021
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
NIPS 2021
Learning to Draw: Emergent Communication through Sketching
NIPS 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
NIPS 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
NIPS 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
NIPS 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
NIPS 2021
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
NIPS 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
NIPS 2021
Intriguing Properties of Contrastive Losses
NIPS 2021
Residual Relaxation for Multi-view Representation Learning
NIPS 2021
Multi-View Representation Learning via Total Correlation Objective
NIPS 2021
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