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 28 / 40 页

  1. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
  2. ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
  3. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
  4. ICML 2024Information Flow in Self-Supervised Learning
  5. ICML 2024Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
  6. ICML 2024Learning to Model the World With Language
  7. ICML 2024Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
  8. ICML 2024MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
  9. ICML 2024Matrix Information Theory for Self-Supervised Learning
  10. ICML 2024MEMORYLLM: Towards Self-Updatable Large Language Models
  11. ICML 2024Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
  12. ICML 2024On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
  13. ICML 2024Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
  14. ICML 2024OTMatch: Improving Semi-Supervised Learning with Optimal Transport
  15. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
  16. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
  17. ICML 2024Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
  18. ICML 2024SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
  19. ICML 2024Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
  20. ICML 2024Self-attention Networks Localize When QK-eigenspectrum Concentrates
  21. ICML 2024Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources
  22. ICML 2024Self-Composing Policies for Scalable Continual Reinforcement Learning
  23. ICML 2024Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
  24. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
  25. ICML 2024Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
  26. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
  27. ICML 2024Self-Rewarding Language Models
  28. ICML 2024Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
  29. ICML 2024Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
  30. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
  31. ICML 2024SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
  32. ICML 2024SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
  33. ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
  34. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
  35. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
  36. ICML 2024Towards a Self-contained Data-driven Global Weather Forecasting Framework
  37. ICML 2024Towards Realistic Model Selection for Semi-supervised Learning
  38. ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
  39. ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
  40. ICML 2024Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
  41. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
  42. NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
  43. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
  44. NeurIPS 2024Accelerating Augmentation Invariance Pretraining
  45. NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
  46. NeurIPS 2024Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
  47. NeurIPS 2024Adversarially Robust Decision Transformer
  48. NeurIPS 2024AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
  49. NeurIPS 2024Amortized Planning with Large-Scale Transformers: A Case Study on Chess
  50. NeurIPS 2024Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss

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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？

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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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