深度学习 · self supervised learning论文趋势 2023–2026
ICML/NeurIPS 深度学习方向：self_supervised_learning
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,958 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 160 | 108 | 41 | 146 | 455 |
| 2024 | 110 | 195 | 62 | 105 | 472 |
| 2025 | 147 | 195 | 72 | 83 | 497 |
| 2026 | 110 | 195 | 135 | 94 | 534 |
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 1,956 篇，第 32 / 40 页
- CVPR 2023Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
- CVPR 2023Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
- CVPR 2023Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
- CVPR 2023Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
- CVPR 2023MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision
- CVPR 2023MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition
- CVPR 2023MagicPony: Learning Articulated 3D Animals in the Wild
- CVPR 2023MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
- CVPR 2023Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer
- CVPR 2023Masked Motion Encoding for Self-Supervised Video Representation Learning
- CVPR 2023Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
- CVPR 2023Metadata-Based RAW Reconstruction via Implicit Neural Functions
- CVPR 2023MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
- CVPR 2023Mixed Autoencoder for Self-Supervised Visual Representation Learning
- CVPR 2023MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection
- CVPR 2023Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
- CVPR 2023Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
- CVPR 2023Multiview Compressive Coding for 3D Reconstruction
- CVPR 2023MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
- CVPR 2023NeRF-Supervised Deep Stereo
- CVPR 2023Object Detection With Self-Supervised Scene Adaptation
- CVPR 2023Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting
- CVPR 2023Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
- CVPR 2023Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
- CVPR 2023Patch-Craft Self-Supervised Training for Correlated Image Denoising
- CVPR 2023PATS: Patch Area Transportation With Subdivision for Local Feature Matching
- CVPR 2023PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
- CVPR 2023PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes
- CVPR 2023PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
- CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
- CVPR 2023Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
- CVPR 2023ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning
- CVPR 2023RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension
- CVPR 2023RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension
- CVPR 2023ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration
- CVPR 2023Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
- CVPR 2023Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
- CVPR 2023S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
- CVPR 2023SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
- CVPR 2023SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
- CVPR 2023Self-Guided Diffusion Models
- CVPR 2023Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
- CVPR 2023Self-Supervised AutoFlow
- CVPR 2023Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization
- CVPR 2023Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
- CVPR 2023Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
- CVPR 2023Self-Supervised Implicit Glyph Attention for Text Recognition
- CVPR 2023Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
- CVPR 2023Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
- CVPR 2023Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查深度学习 · self supervised learning在 ICLR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dl-self-supervised-learning"}
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。