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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
Self-Supervised MultiModal Versatile Networks
NIPS 2020
Neural Methods for Point-wise Dependency Estimation
NIPS 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
NIPS 2020
Blind Video Temporal Consistency via Deep Video Prior
NIPS 2020
Self-Supervised Relationship Probing
NIPS 2020
Prophet Attention: Predicting Attention with Future Attention
NIPS 2020
Cross-lingual Retrieval for Iterative Self-Supervised Training
NIPS 2020
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation
NIPS 2020
Adversarial Self-Supervised Contrastive Learning
NIPS 2020
Learning to summarize with human feedback
NIPS 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
NIPS 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
NIPS 2020
Unsupervised Representation Learning by Invariance Propagation
NIPS 2020
Learning Disentangled Representations of Videos with Missing Data
NIPS 2020
Deep Reinforcement and InfoMax Learning
NIPS 2020
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
NIPS 2020
Rethinking Pre-training and Self-training
NIPS 2020
Learning About Objects by Learning to Interact with Them
NIPS 2020
Self-Supervised Relational Reasoning for Representation Learning
NIPS 2020
Unsupervised Learning of Dense Visual Representations
NIPS 2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
NIPS 2020
Learning Representations from Audio-Visual Spatial Alignment
NIPS 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs
NIPS 2020
Latent World Models For Intrinsically Motivated Exploration
NIPS 2020
Policy Improvement via Imitation of Multiple Oracles
NIPS 2020
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