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 472 篇，第 6 / 10 页

  1. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
  2. ICLR 2024Scalable Monotonic Neural Networks
  3. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
  4. ICLR 2024Self-Alignment with Instruction Backtranslation
  5. ICLR 2024Self-Consuming Generative Models Go MAD
  6. ICLR 2024Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
  7. ICLR 2024Self-Supervised Contrastive Learning for Long-term Forecasting
  8. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
  9. ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
  10. ICLR 2024Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
  11. ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
  12. ICLR 2024Self-supervised Representation Learning from Random Data Projectors
  13. ICLR 2024Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
  14. ICLR 2024SemiReward: A General Reward Model for Semi-supervised Learning
  15. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
  16. ICLR 2024SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
  17. ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
  18. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
  19. ICLR 2024Simplifying Transformer Blocks
  20. ICLR 2024Soft Contrastive Learning for Time Series
  21. ICLR 2024SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
  22. ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
  23. ICLR 2024Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
  24. ICLR 2024Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
  25. ICLR 2024State Representation Learning Using an Unbalanced Atlas
  26. ICLR 2024StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
  27. ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
  28. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
  29. ICLR 2024Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
  30. ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
  31. ICLR 2024T-Rep: Representation Learning for Time Series using Time-Embeddings
  32. ICLR 2024Tailoring Self-Rationalizers with Multi-Reward Distillation
  33. ICLR 2024Teaching Large Language Models to Self-Debug
  34. ICLR 2024TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
  35. ICLR 2024The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
  36. ICLR 2024Tight Rates in Supervised Outlier Transfer Learning
  37. ICLR 2024Topological data analysis on noisy quantum computers
  38. ICLR 2024Towards a statistical theory of data selection under weak supervision
  39. ICLR 2024Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
  40. ICLR 2024Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
  41. ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
  42. ICLR 2024Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
  43. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
  44. ICLR 2024Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
  45. ICLR 2024Unsupervised Order Learning
  46. ICLR 2024Unsupervised Pretraining for Fact Verification by Language Model Distillation
  47. ICLR 2024Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
  48. ICLR 2024Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
  49. ICLR 2024Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
  50. ICLR 2024Weakly-supervised Audio Separation via Bi-modal Semantic Similarity

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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"}

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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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