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 14 / 40 页

  1. ICLR 2025DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
  2. ICLR 2025Deconstructing Denoising Diffusion Models for Self-Supervised Learning
  3. ICLR 2025DEEM: Diffusion models serve as the eyes of large language models for image perception
  4. ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
  5. ICLR 2025Difference-of-submodular Bregman Divergence
  6. ICLR 2025Discovering Group Structures via Unitary Representation Learning
  7. ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
  8. ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
  9. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
  10. ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance
  11. ICLR 2025Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
  12. ICLR 2025Dreamweaver: Learning Compositional World Models from Pixels
  13. ICLR 2025DRL: Decomposed Representation Learning for Tabular Anomaly Detection
  14. ICLR 2025Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
  15. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
  16. ICLR 2025Elliptic Loss Regularization
  17. ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
  18. ICLR 2025Equivariant Masked Position Prediction for Efficient Molecular Representation
  19. ICLR 2025Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
  20. ICLR 2025Exploring a Principled Framework for Deep Subspace Clustering
  21. ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
  22. ICLR 2025FACTS: A Factored State-Space Framework for World Modelling
  23. ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
  24. ICLR 2025Formation of Representations in Neural Networks
  25. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
  26. ICLR 2025Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
  27. ICLR 2025From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
  28. ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
  29. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
  30. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
  31. ICLR 2025Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
  32. ICLR 2025GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
  33. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
  34. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
  35. ICLR 2025I-Con: A Unifying Framework for Representation Learning
  36. ICLR 2025Identification of Intermittent Temporal Latent Process
  37. ICLR 2025Improving Deep Regression with Tightness
  38. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
  39. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
  40. ICLR 2025Instance-dependent Early Stopping
  41. ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
  42. ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
  43. ICLR 2025Isometric Regularization for Manifolds of Functional Data
  44. ICLR 2025JPEG Inspired Deep Learning
  45. ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
  46. ICLR 2025Large Convolutional Model Tuning via Filter Subspace
  47. ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
  48. ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
  49. ICLR 2025Learning Mask Invariant Mutual Information for Masked Image Modeling
  50. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport

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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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