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 527 篇，第 11 / 11 页

501. NeurIPS 2023Self-Supervised Visual Acoustic Matching
502. NeurIPS 2023Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
503. NeurIPS 2023Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
504. NeurIPS 2023Semi-Supervised Domain Generalization with Known and Unknown Classes
505. NeurIPS 2023Siamese Masked Autoencoders
506. NeurIPS 2023Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
507. NeurIPS 2023SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
508. NeurIPS 2023SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
509. NeurIPS 2023Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition
510. NeurIPS 2023STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
511. NeurIPS 2023Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
512. NeurIPS 2023Supervised Pretraining Can Learn In-Context Reinforcement Learning
513. NeurIPS 2023Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
514. NeurIPS 2023Tailoring Self-Attention for Graph via Rooted Subtrees
515. NeurIPS 2023The emergence of clusters in self-attention dynamics
516. NeurIPS 2023The Gain from Ordering in Online Learning
517. NeurIPS 2023The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
518. NeurIPS 2023TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
519. NeurIPS 2023Towards Distribution-Agnostic Generalized Category Discovery
520. NeurIPS 2023Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
521. NeurIPS 2023Towards In-context Scene Understanding
522. NeurIPS 2023Towards Self-Interpretable Graph-Level Anomaly Detection
523. NeurIPS 2023Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo
524. NeurIPS 2023Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
525. NeurIPS 2023Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
526. NeurIPS 2023Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
527. NeurIPS 2023Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

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。