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

每年论文数

各会议论文数

按年份和会议统计

深度学习 · self supervised learning论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202316010841146455
202411019562105472
20251471957283497
202611019513594534

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

全部深度学习 · self supervised learning论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,956 篇，第 38 / 40 页

  1. NeurIPS 2023Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations
  2. NeurIPS 2023Evaluating Self-Supervised Learning for Molecular Graph Embeddings
  3. NeurIPS 2023Exponentially Convergent Algorithms for Supervised Matrix Factorization
  4. NeurIPS 2023Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  5. NeurIPS 2023Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
  6. NeurIPS 2023Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer
  7. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
  8. NeurIPS 2023FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
  9. NeurIPS 2023FLSL: Feature-level Self-supervised Learning
  10. NeurIPS 2023Fragment-based Pretraining and Finetuning on Molecular Graphs
  11. NeurIPS 2023GALOPA: Graph Transport Learning with Optimal Plan Alignment
  12. NeurIPS 2023Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
  13. NeurIPS 2023Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
  14. NeurIPS 2023Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On
  15. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
  16. NeurIPS 2023HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
  17. NeurIPS 2023Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
  18. NeurIPS 2023How to Scale Your EMA
  19. NeurIPS 2023Identifiable Contrastive Learning with Automatic Feature Importance Discovery
  20. NeurIPS 2023Implicit Contrastive Representation Learning with Guided Stop-gradient
  21. NeurIPS 2023Implicit variance regularization in non-contrastive SSL
  22. NeurIPS 2023Improving Self-supervised Molecular Representation Learning using Persistent Homology
  23. NeurIPS 2023Incentivized Communication for Federated Bandits
  24. NeurIPS 2023InstanT: Semi-supervised Learning with Instance-dependent Thresholds
  25. NeurIPS 2023Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
  26. NeurIPS 2023Koopman Kernel Regression
  27. NeurIPS 2023Label-efficient Segmentation via Affinity Propagation
  28. NeurIPS 2023Language-based Action Concept Spaces Improve Video Self-Supervised Learning
  29. NeurIPS 2023Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
  30. NeurIPS 2023Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
  31. NeurIPS 2023Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
  32. NeurIPS 2023Learning From Biased Soft Labels
  33. NeurIPS 2023Learning Interpretable Low-dimensional Representation via Physical Symmetry
  34. NeurIPS 2023Learning with Explanation Constraints
  35. NeurIPS 2023Low-shot Object Learning with Mutual Exclusivity Bias
  36. NeurIPS 2023LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
  37. NeurIPS 2023MARBLE: Music Audio Representation Benchmark for Universal Evaluation
  38. NeurIPS 2023Masked Image Residual Learning for Scaling Deeper Vision Transformers
  39. NeurIPS 2023MAViL: Masked Audio-Video Learners
  40. NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
  41. NeurIPS 2023Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
  42. NeurIPS 2023Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
  43. NeurIPS 2023Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
  44. NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
  45. NeurIPS 2023Neural Algorithmic Reasoning Without Intermediate Supervision
  46. NeurIPS 2023Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
  47. NeurIPS 2023No Representation Rules Them All in Category Discovery
  48. NeurIPS 2023Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
  49. NeurIPS 2023On Separate Normalization in Self-supervised Transformers
  50. NeurIPS 2023On the Sublinear Regret of GP-UCB

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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