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← 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
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
ICCV 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
CVPR 2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
ICCV 2023
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity
ICCV 2023
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization
CVPR 2023
Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models
CVPR 2023
iVS-Net: Learning Human View Synthesis from Internet Videos
ICCV 2023
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
ICCV 2023
Building3D: A Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds
ICCV 2023
SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data
ICCV 2023
Teaching Matters: Investigating the Role of Supervision in Vision Transformers
CVPR 2023
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
AAAI 2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
ICCV 2023
PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration
ICCV 2023
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
ICCV 2023
Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction
ICCV 2023
Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
CVPR 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
AAAI 2023
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network
AAAI 2023
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
AAAI 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
AAAI 2023
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training
AAAI 2023
Memorization Weights for Instance Reweighting in Adversarial Training
AAAI 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
AAAI 2023
Representation Learning by Detecting Incorrect Location Embeddings
AAAI 2023
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