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 497 篇，第 6 / 10 页
- ICLR 2025Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
- ICLR 2025Towards a learning theory of representation alignment
- ICLR 2025Towards Calibrated Deep Clustering Network
- ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
- ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
- ICLR 2025Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
- ICLR 2025Training Language Models to Self-Correct via Reinforcement Learning
- ICLR 2025Training Neural Networks as Recognizers of Formal Languages
- ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
- ICLR 2025Transformer Learns Optimal Variable Selection in Group-Sparse Classification
- ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
- ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
- ICLR 2025Unifying Causal Representation Learning with the Invariance Principle
- ICLR 2025UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
- ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
- ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
- ICLR 2025Unsupervised Model Tree Heritage Recovery
- ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
- ICLR 2025UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
- ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
- ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
- ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
- ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
- ICLR 2025WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
- ICLR 2025Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
- ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
- ICLR 2025What to align in multimodal contrastive learning?
- ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
- ICML 2025A Generalization Theory for Zero-Shot Prediction
- ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
- ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
- ICML 2025Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
- ICML 2025Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
- ICML 2025Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
- ICML 2025BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
- ICML 2025Clustering Properties of Self-Supervised Learning
- ICML 2025Clustering via Self-Supervised Diffusion
- ICML 2025Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
- ICML 2025Collapse-Proof Non-Contrastive Self-Supervised Learning
- ICML 2025Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
- ICML 2025DeepLayout: Learning Neural Representations of Circuit Placement Layout
- ICML 2025Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
- ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
- ICML 2025Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
- ICML 2025DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
- ICML 2025Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
- ICML 2025Equivalence is All: A Unified View for Self-supervised Graph Learning
- ICML 2025FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
- ICML 2025Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
- ICML 2025Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
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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。