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 527 篇，第 5 / 11 页
- NeurIPS 2025RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
- NeurIPS 2025Robust Minimax Boosting with Performance Guarantees
- NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
- NeurIPS 2025SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization
- NeurIPS 2025SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
- NeurIPS 2025Self Iterative Label Refinement via Robust Unlabeled Learning
- NeurIPS 2025Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
- NeurIPS 2025Self-Adapting Language Models
- NeurIPS 2025Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
- NeurIPS 2025Self-diffusion for Solving Inverse Problems
- NeurIPS 2025Self-Improving Embodied Foundation Models
- NeurIPS 2025Self-Refining Language Model Anonymizers via Adversarial Distillation
- NeurIPS 2025Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
- NeurIPS 2025Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
- NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
- NeurIPS 2025Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
- NeurIPS 2025Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
- NeurIPS 2025Self-Supervised Learning of Graph Representations for Network Intrusion Detection
- NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
- NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
- NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
- NeurIPS 2025Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
- NeurIPS 2025seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
- NeurIPS 2025SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data
- NeurIPS 2025ShapeEmbed: a self-supervised learning framework for 2D contour quantification
- NeurIPS 2025SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
- NeurIPS 2025Soft Task-Aware Routing of Experts for Equivariant Representation Learning
- NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
- NeurIPS 2025SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
- NeurIPS 2025Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
- NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
- NeurIPS 2025T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
- NeurIPS 2025TabDPT: Scaling Tabular Foundation Models on Real Data
- NeurIPS 2025Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
- NeurIPS 2025THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations
- NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
- NeurIPS 2025TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
- NeurIPS 2025Token Bottleneck: One Token to Remember Dynamics
- NeurIPS 2025Token-Level Self-Play with Importance-Aware Guidance for Large Language Models
- NeurIPS 2025Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
- NeurIPS 2025Towards Self-Refinement of Vision-Language Models with Triangular Consistency
- NeurIPS 2025Training-free Detection of AI-generated images via Cropping Robustness
- NeurIPS 2025TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
- NeurIPS 2025TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
- NeurIPS 2025UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
- NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
- NeurIPS 2025Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
- NeurIPS 2025Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
- NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models
- NeurIPS 2025Understanding Differential Transformer Unchains Pretrained Self-Attentions
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。