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 6 / 40 页
- ICLR 2026Softmax is not Enough (for Adaptive Conformal Classification)
- ICLR 2026Spectral Attention Steering for Prompt Highlighting
- ICLR 2026Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives
- ICLR 2026Splat Regression Models
- ICLR 2026ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
- ICLR 2026Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
- ICLR 2026t-SNE Exaggerates Clusters, Provably
- ICLR 2026Temporal Slowness in Central Vision Drives Semantic Object Learning
- ICLR 2026THE SELF-RE-WATERMARKING TRAP: FROM EXPLOIT TO RESILIENCE
- ICLR 2026There Was Never a Bottleneck in Concept Bottleneck Models
- ICLR 2026Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
- ICLR 2026To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
- ICLR 2026Token Distillation: Attention-Aware Input Embeddings for New Tokens
- ICLR 2026Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning
- ICLR 2026Toward Principled Flexible Scaling for Self-Gated Neural Activation
- ICLR 2026Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
- ICLR 2026Towards Improved Sentence Representations using Token Graphs
- ICLR 2026Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
- ICLR 2026TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
- ICLR 2026TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
- ICLR 2026TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning
- ICLR 2026True Self-Supervised Novel View Synthesis is Transferable
- ICLR 2026TS-DDAE: A novel Temporal-Spectral Denoising Diffusion AutoEncoder for Wireless Signal Recognition Model Pre-training
- ICLR 2026Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
- ICLR 2026Understanding the Learning Phases in Self-Supervised Learning via Critical Periods
- ICLR 2026Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data
- ICLR 2026UniOD: A Universal Model for Outlier Detection across Diverse Domains
- ICLR 2026Universal Beta Splatting
- ICLR 2026Unlearning Evaluation through Subset Statistical Independence
- ICLR 2026Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
- ICLR 2026Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
- ICLR 2026Variational Inference for Cyclic Learning
- ICLR 2026VideoAgentTrek: Computer-Use Pretraining from Unlabeled Videos
- ICLR 2026Visual Jigsaw Post-Training Improves MLLMs
- ICLR 2026Weight Space Representation Learning on Diverse NeRF Architectures
- ICLR 2026Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
- ICLR 2026Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
- ICML 2026$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
- ICML 20263D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
- ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
- ICML 2026A Random Matrix Theory of Masked Self-Supervised Learning
- ICML 2026A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA While Test Loss Misaligns With Generalization
- ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
- ICML 2026ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
- ICML 2026AudioMosaic: Contrastive Masked Audio Representation Learning
- ICML 2026Autoregression with Self-Token Prediction
- ICML 2026BAT: Better Audio Transformer Guided by Convex Gated Probing
- ICML 2026Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
- ICML 2026Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging
- ICML 2026Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning
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。