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Methodology
← Learning Types
Deep Learning
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Learning Types
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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
Cross-Thought for Sentence Encoder Pre-training
EMNLP 2020
Flow-based Image-to-Image Translation with Feature Disentanglement
NIPS 2019
On Finding Gray Pixels
CVPR 2019
Video Summarization by Learning From Unpaired Data
CVPR 2019
Neural Scene Decomposition for Multi-Person Motion Capture
CVPR 2019
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
CVPR 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
CVPR 2019
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
CVPR 2019
Unsupervised 3D Pose Estimation With Geometric Self-Supervision
CVPR 2019
Learning Independent Object Motion From Unlabelled Stereoscopic Videos
CVPR 2019
Self-Supervised Convolutional Subspace Clustering Network
CVPR 2019
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations
CVPR 2019
InverseRenderNet: Learning Single Image Inverse Rendering
CVPR 2019
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
CVPR 2019
SelFlow: Self-Supervised Learning of Optical Flow
CVPR 2019
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
CVPR 2019
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
CVPR 2019
Multi-Granularity Generator for Temporal Action Proposal
CVPR 2019
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
NIPS 2019
First Order Motion Model for Image Animation
NIPS 2019
High-Quality Self-Supervised Deep Image Denoising
NIPS 2019
Joint-task Self-supervised Learning for Temporal Correspondence
NIPS 2019
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
CVPR 2019
Dense Depth Posterior (DDP) From Single Image and Sparse Range
CVPR 2019
UER: An Open-Source Toolkit for Pre-training Models
EMNLP 2019
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