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Machine Learning
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Learning Types
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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
Look Before You Speak: Visually Contextualized Utterances
CVPR 2021
Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency
CVPR 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
CVPR 2021
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training
CVPR 2021
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
CVPR 2021
SLADE: A Self-Training Framework for Distance Metric Learning
CVPR 2021
SelfDoc: Self-Supervised Document Representation Learning
CVPR 2021
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data
CVPR 2021
Prototype Augmentation and Self-Supervision for Incremental Learning
CVPR 2021
VirTex: Learning Visual Representations From Textual Annotations
CVPR 2021
Spatiotemporal Contrastive Video Representation Learning
CVPR 2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping
CVPR 2021
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
CVPR 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
CVPR 2021
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
CVPR 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
CVPR 2021
Autoregressive Stylized Motion Synthesis With Generative Flow
CVPR 2021
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining
CVPR 2021
Instance Localization for Self-Supervised Detection Pretraining
CVPR 2021
Spatially Consistent Representation Learning
CVPR 2021
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting
CVPR 2021
Unsupervised Visual Representation Learning by Tracking Patches in Video
CVPR 2021
Learning To Identify Correct 2D-2D Line Correspondences on Sphere
CVPR 2021
What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
CVPR 2021
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
CVPR 2021
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