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Methodology
← Learning Types
Deep Learning
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Self-Supervised Learning
2959 directly classified papers
Papers per year
2006: 3
2007: 1
2008: 2
2009: 3
2010: 1
2011: 3
2012: 5
2013: 5
2014: 8
2015: 9
2016: 15
2017: 23
2018: 59
2019: 146
2020: 289
2021: 389
2022: 485
2023: 547
2024: 445
2025: 502
2026: 19
Papers
An Unsupervised Hunt for Gravitational Lenses
AISTATS 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
AISTATS 2022
Unsupervised Single Document Abstractive Summarization using Semantic Units
IJCNLP 2022
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
CVPR 2022
Vision-Language Pre-Training With Triple Contrastive Learning
CVPR 2022
Group Contextualization for Video Recognition
CVPR 2022
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
CVPR 2022
Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography
CVPR 2022
Gated2Gated: Self-Supervised Depth Estimation From Gated Images
CVPR 2022
Degradation-Agnostic Correspondence From Resolution-Asymmetric Stereo
CVPR 2022
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
CVPR 2022
A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-Shot Representation Forecasting
CVPR 2022
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites
CVPR 2022
M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining
CVPR 2022
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels
CVPR 2022
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation
CVPR 2022
Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements
CVPR 2022
Self-Supervised Object Detection From Audio-Visual Correspondence
CVPR 2022
Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency
CVPR 2022
On the Importance of Asymmetry for Siamese Representation Learning
CVPR 2022
All-in-One Image Restoration for Unknown Corruption
CVPR 2022
PLAD: Learning To Infer Shape Programs With Pseudo-Labels and Approximate Distributions
CVPR 2022
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction
CVPR 2022
Learning To Listen: Modeling Non-Deterministic Dyadic Facial Motion
CVPR 2022
Align Representations With Base: A New Approach to Self-Supervised Learning
CVPR 2022
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