深度学习 · self supervised learning论文趋势 2023–2026

主要结论

• 深度学习 · self supervised learning论文从 2023 年的 455 篇增长到 2026 年的 534 篇，三年间扩大到约 1.2 倍。
• ICLR 是发深度学习 · self supervised learning论文最多的会议，2023–2026 年共 693 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是通用机器学习 · unsupervised and semisupervised learning：同时属于两个主题的论文从 2023 年的 23 篇增至 2026 年的 86 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 4；同组增长最快的扩散模型是 4.1 倍，深度学习 · self supervised learning是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Attending on Attention ($A^2$): Smaller Self-Supervised ViTs Localize Better Than Larger Ones
• ICML 20263D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026A Stitch in Time Learning Procedural Workflow via Self-Supervised Plackett-Luce
• NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
• ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
• ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
• ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
• ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
• CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
• NeurIPS 2026AudioSphere: Towards Self-Supervised Spatial Audio Representation Models
• ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
• ICLR 2026Angle K-Means
• CVPR 2026Action Motifs Self-Supervised Hierarchical Representation of Human Body Movements

全部深度学习 · self supervised learning论文

共 455 篇，第 2 / 10 页

51. CVPR 2023Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
52. CVPR 2023Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
53. CVPR 2023Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
54. CVPR 2023MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision
55. CVPR 2023MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition
56. CVPR 2023MagicPony: Learning Articulated 3D Animals in the Wild
57. CVPR 2023MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
58. CVPR 2023Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer
59. CVPR 2023Masked Motion Encoding for Self-Supervised Video Representation Learning
60. CVPR 2023Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
61. CVPR 2023Metadata-Based RAW Reconstruction via Implicit Neural Functions
62. CVPR 2023MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
63. CVPR 2023Mixed Autoencoder for Self-Supervised Visual Representation Learning
64. CVPR 2023MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection
65. CVPR 2023Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
66. CVPR 2023Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
67. CVPR 2023Multiview Compressive Coding for 3D Reconstruction
68. CVPR 2023MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
69. CVPR 2023NeRF-Supervised Deep Stereo
70. CVPR 2023Object Detection With Self-Supervised Scene Adaptation
71. CVPR 2023Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting
72. CVPR 2023Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
73. CVPR 2023Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
74. CVPR 2023Patch-Craft Self-Supervised Training for Correlated Image Denoising
75. CVPR 2023PATS: Patch Area Transportation With Subdivision for Local Feature Matching
76. CVPR 2023PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
77. CVPR 2023PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes
78. CVPR 2023PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
79. CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
80. CVPR 2023Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
81. CVPR 2023ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning
82. CVPR 2023RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension
83. CVPR 2023RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension
84. CVPR 2023ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration
85. CVPR 2023Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
86. CVPR 2023Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
87. CVPR 2023S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
88. CVPR 2023SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
89. CVPR 2023SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
90. CVPR 2023Self-Guided Diffusion Models
91. CVPR 2023Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
92. CVPR 2023Self-Supervised AutoFlow
93. CVPR 2023Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization
94. CVPR 2023Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
95. CVPR 2023Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
96. CVPR 2023Self-Supervised Implicit Glyph Attention for Text Recognition
97. CVPR 2023Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
98. CVPR 2023Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
99. CVPR 2023Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
100. CVPR 2023Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · self supervised learning论文？

共 1,958 篇，按年份分别是 2023 年 455 篇、2024 年 472 篇、2025 年 497 篇、2026 年 534 篇。

NeurIPS 2026 有多少篇深度学习 · self supervised learning论文？

NeurIPS 2026 有 110 篇深度学习 · self supervised learning论文，上一届是 147 篇。

ICLR 2026 有多少篇深度学习 · self supervised learning论文？

ICLR 2026 有 195 篇深度学习 · self supervised learning论文，上一届是 195 篇。

ICML 2026 有多少篇深度学习 · self supervised learning论文？

ICML 2026 有 135 篇深度学习 · self supervised learning论文，上一届是 72 篇。

CVPR 2026 有多少篇深度学习 · self supervised learning论文？

CVPR 2026 有 94 篇深度学习 · self supervised learning论文，上一届是 83 篇。

哪个会议的深度学习 · self supervised learning论文最多？

ICLR，2023–2026 年共 693 篇。