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 39 / 40 页

  1. NeurIPS 2023On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
  2. NeurIPS 2023Online PCA in Converging Self-consistent Field Equations
  3. NeurIPS 2023OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
  4. NeurIPS 2023Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
  5. NeurIPS 2023PointGPT: Auto-regressively Generative Pre-training from Point Clouds
  6. NeurIPS 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
  7. NeurIPS 2023Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
  8. NeurIPS 2023Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
  9. NeurIPS 2023PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
  10. NeurIPS 2023PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
  11. NeurIPS 2023Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
  12. NeurIPS 2023Representation Learning via Consistent Assignment of Views over Random Partitions
  13. NeurIPS 2023Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
  14. NeurIPS 2023Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
  15. NeurIPS 2023RevColV2: Exploring Disentangled Representations in Masked Image Modeling
  16. NeurIPS 2023Reverse Engineering Self-Supervised Learning
  17. NeurIPS 2023Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
  18. NeurIPS 2023Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
  19. NeurIPS 2023Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors
  20. NeurIPS 2023Self-Consistent Velocity Matching of Probability Flows
  21. NeurIPS 2023Self-Correcting Bayesian Optimization through Bayesian Active Learning
  22. NeurIPS 2023Self-Refine: Iterative Refinement with Self-Feedback
  23. NeurIPS 2023Self-supervised Graph Neural Networks via Low-Rank Decomposition
  24. NeurIPS 2023Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
  25. NeurIPS 2023Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
  26. NeurIPS 2023Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
  27. NeurIPS 2023Self-supervised Object-Centric Learning for Videos
  28. NeurIPS 2023Self-Supervised Reinforcement Learning that Transfers using Random Features
  29. NeurIPS 2023Self-supervised video pretraining yields robust and more human-aligned visual representations
  30. NeurIPS 2023Self-Supervised Visual Acoustic Matching
  31. NeurIPS 2023Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
  32. NeurIPS 2023Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
  33. NeurIPS 2023Semi-Supervised Domain Generalization with Known and Unknown Classes
  34. NeurIPS 2023Siamese Masked Autoencoders
  35. NeurIPS 2023Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
  36. NeurIPS 2023SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
  37. NeurIPS 2023SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
  38. NeurIPS 2023Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition
  39. NeurIPS 2023STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
  40. NeurIPS 2023Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
  41. NeurIPS 2023Supervised Pretraining Can Learn In-Context Reinforcement Learning
  42. NeurIPS 2023Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
  43. NeurIPS 2023Tailoring Self-Attention for Graph via Rooted Subtrees
  44. NeurIPS 2023The emergence of clusters in self-attention dynamics
  45. NeurIPS 2023The Gain from Ordering in Online Learning
  46. NeurIPS 2023The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
  47. NeurIPS 2023TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
  48. NeurIPS 2023Towards Distribution-Agnostic Generalized Category Discovery
  49. NeurIPS 2023Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
  50. NeurIPS 2023Towards In-context Scene Understanding

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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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