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 527 篇，第 2 / 11 页

  1. NeurIPS 2026Learning to Follow In-Context Watermark Instructions via Self-Distillation
  2. NeurIPS 2026Learning to Group and Order: Cross-Instance Self-Supervised RL for Vision-Centric MLLMs
  3. NeurIPS 2026Less Structure is More: Minimal Representations for Supervised Learning
  4. NeurIPS 2026Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
  5. NeurIPS 2026Looped Transformers with Layer Normalization Provably Learn the Power Method
  6. NeurIPS 2026LoRAcles: Self-Supervised Weight-Space Interpretability at Scale
  7. NeurIPS 2026Managing Self-Learning Experts under Per-Round Budget Constraints
  8. NeurIPS 2026Measure Less, Know More: Self-Supervised Test-Time Feature Acquisition
  9. NeurIPS 2026Memory-Driven Contrastive Embedding Enhancement for Fine-Grained Open-Set Semi-Supervised Learning
  10. NeurIPS 2026Meta$^n$: Recursive Self-Improvement through Emergent Depth
  11. NeurIPS 2026MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
  12. NeurIPS 2026Mitigating Confidence Miscalibration in Open-World Semi-Supervised Learning
  13. NeurIPS 2026Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
  14. NeurIPS 2026Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation
  15. NeurIPS 2026Predictive Surprise as Self-Grounding Concept Bottleneck for Interpretable Time Series
  16. NeurIPS 2026PriFT: Prior-Support Guided Token Reweighting for Supervised Fine-Tuning
  17. NeurIPS 2026PRISM: Prior Relational Information for Self-supervised Modeling to Enhance Solubility OOD Generalization
  18. NeurIPS 2026Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction–Reality Gaps
  19. NeurIPS 2026Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
  20. NeurIPS 2026RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
  21. NeurIPS 2026ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
  22. NeurIPS 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models
  23. NeurIPS 2026Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data
  24. NeurIPS 2026S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
  25. NeurIPS 2026Saddle-to-Saddle Dynamics in Self-Supervised Shortcut Learning
  26. NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
  27. NeurIPS 2026SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks
  28. NeurIPS 2026Self-Calibrated GUI Reward Model via Inverse Dynamic Modeling
  29. NeurIPS 2026Self-Compacting Language Model Agents
  30. NeurIPS 2026Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning
  31. NeurIPS 2026Self-Distilled RLVR
  32. NeurIPS 2026Self-Programmed Execution for Language-Model Agents
  33. NeurIPS 2026Self-Supervised Doppler-Guided RF Odometry
  34. NeurIPS 2026Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
  35. NeurIPS 2026Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
  36. NeurIPS 2026Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
  37. NeurIPS 2026Self-Tuning Graph Filters via State-Dependent Operator Composition
  38. NeurIPS 2026SelfGuard: Self-Supervised Deviation Modeling for Multi-Modal Jailbreak Detection
  39. NeurIPS 2026SetAD: Semi-Supervised Anomaly Learning in Contextual Sets
  40. NeurIPS 2026SHRED: Retain-Set-Free Unlearning via Self-Distillation with Logit Demotion
  41. NeurIPS 2026SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
  42. NeurIPS 2026Sparsely Supervised Diffusion
  43. NeurIPS 2026Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge
  44. NeurIPS 2026Speculative Self-Distillation enables Efficient Knowledge Internalization
  45. NeurIPS 2026SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
  46. NeurIPS 2026SPIRIT: Speed-Driven Online Adaptation for Self-Speculative Decoding
  47. NeurIPS 2026SS3D: End2End Self-Supervised 3D from Web Videos
  48. NeurIPS 2026Stability-Aware Self-Training for CLIP under Cross-Modal Anchoring Mismatch
  49. NeurIPS 2026StarWM: Self-Supervised Trained Attention Routing for Robust World Models
  50. NeurIPS 2026The Locality Cost of Semantic Patch Self-Distillation

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。

「深度学习」下的其他主题