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 693 篇，第 8 / 14 页

  1. ICLR 2025Spherical Tree-Sliced Wasserstein Distance
  2. ICLR 2025SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
  3. ICLR 2025SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
  4. ICLR 2025ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
  5. ICLR 2025Sylber: Syllabic Embedding Representation of Speech from Raw Audio
  6. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
  7. ICLR 2025The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
  8. ICLR 2025The Belief State Transformer
  9. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
  10. ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
  11. ICLR 2025Three Mechanisms of Feature Learning in a Linear Network
  12. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
  13. ICLR 2025Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
  14. ICLR 2025Towards a learning theory of representation alignment
  15. ICLR 2025Towards Calibrated Deep Clustering Network
  16. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
  17. ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
  18. ICLR 2025Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
  19. ICLR 2025Training Language Models to Self-Correct via Reinforcement Learning
  20. ICLR 2025Training Neural Networks as Recognizers of Formal Languages
  21. ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
  22. ICLR 2025Transformer Learns Optimal Variable Selection in Group-Sparse Classification
  23. ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
  24. ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
  25. ICLR 2025Unifying Causal Representation Learning with the Invariance Principle
  26. ICLR 2025UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
  27. ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
  28. ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
  29. ICLR 2025Unsupervised Model Tree Heritage Recovery
  30. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
  31. ICLR 2025UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
  32. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
  33. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
  34. ICLR 2025Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
  35. ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
  36. ICLR 2025WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
  37. ICLR 2025Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric
  38. ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
  39. ICLR 2025What to align in multimodal contrastive learning?
  40. ICLR 2025Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
  41. ICLR 20243D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
  42. ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
  43. ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
  44. ICLR 2024A Recipe for Improved Certifiable Robustness
  45. ICLR 2024A representation-learning game for classes of prediction tasks
  46. ICLR 2024Accelerated Sampling with Stacked Restricted Boltzmann Machines
  47. ICLR 2024An Investigation of Representation and Allocation Harms in Contrastive Learning
  48. ICLR 2024Annealing Self-Distillation Rectification Improves Adversarial Training
  49. ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
  50. ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation

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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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