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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
Designing a Hybrid Neural System To Learn Real-World Crack Segmentation From Fractal-Based Simulation
WACV 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Disentangled Pre-Training for Image Matting
WACV 2024
SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification
WACV 2024
Object Aware Contrastive Prior for Interactive Image Segmentation
WACV 2024
CL-MAE: Curriculum-Learned Masked Autoencoders
WACV 2024
CycleCL: Self-Supervised Learning for Periodic Videos
WACV 2024
Weakly-Supervised Representation Learning for Video Alignment and Analysis
WACV 2024
SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs
WACV 2024
Debiasing, Calibrating, and Improving Semi-Supervised Learning Performance via Simple Ensemble Projector
WACV 2024
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
WACV 2024
Self-Supervised Representation Learning With Cross-Context Learning Between Global and Hypercolumn Features
WACV 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation
WACV 2024
The Growing Strawberries Dataset: Tracking Multiple Objects With Biological Development Over an Extended Period
WACV 2024
Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images
WACV 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
WACV 2024
Label-Free Synthetic Pretraining of Object Detectors
WACV 2024
Revisiting Pixel-Level Contrastive Pre-Training on Scene Images
WACV 2024
Triplet Attention Transformer for Spatiotemporal Predictive Learning
WACV 2024
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
NIPS 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
NIPS 2023
Towards Free Data Selection with General-Purpose Models
NIPS 2023
Emergent Correspondence from Image Diffusion
NIPS 2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
NIPS 2023
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