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 30 / 40 页

  1. NeurIPS 2024No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
  2. NeurIPS 2024On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
  3. NeurIPS 2024Open-Vocabulary Object Detection via Language Hierarchy
  4. NeurIPS 2024OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
  5. NeurIPS 2024PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
  6. NeurIPS 2024Persistence Homology Distillation for Semi-supervised Continual Learning
  7. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
  8. NeurIPS 2024Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
  9. NeurIPS 2024Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
  10. NeurIPS 2024QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
  11. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
  12. NeurIPS 2024Reciprocal Learning
  13. NeurIPS 2024Reinforcement Learning Guided Semi-Supervised Learning
  14. NeurIPS 2024Resource-Aware Federated Self-Supervised Learning with Global Class Representations
  15. NeurIPS 2024Return of Unconditional Generation: A Self-supervised Representation Generation Method
  16. NeurIPS 2024Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
  17. NeurIPS 2024SAM-Guided Masked Token Prediction for 3D Scene Understanding
  18. NeurIPS 2024Scalable Early Childhood Reading Performance Prediction
  19. NeurIPS 2024Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
  20. NeurIPS 2024SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
  21. NeurIPS 2024Self-Calibrating Conformal Prediction
  22. NeurIPS 2024Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
  23. NeurIPS 2024Self-Distilled Depth Refinement with Noisy Poisson Fusion
  24. NeurIPS 2024Self-Guided Masked Autoencoder
  25. NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
  26. NeurIPS 2024Self-Labeling the Job Shop Scheduling Problem
  27. NeurIPS 2024Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
  28. NeurIPS 2024Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation
  29. NeurIPS 2024Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
  30. NeurIPS 2024Self-supervised Transformation Learning for Equivariant Representations
  31. NeurIPS 2024Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
  32. NeurIPS 2024SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models
  33. NeurIPS 2024SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
  34. NeurIPS 2024SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
  35. NeurIPS 2024SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
  36. NeurIPS 2024Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
  37. NeurIPS 2024Supervised Kernel Thinning
  38. NeurIPS 2024TAIA: Large Language Models are Out-of-Distribution Data Learners
  39. NeurIPS 2024The Benefits of Balance: From Information Projections to Variance Reduction
  40. NeurIPS 2024Theoretical Analysis of Weak-to-Strong Generalization
  41. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
  42. NeurIPS 2024Towards a theory of how the structure of language is acquired by deep neural networks
  43. NeurIPS 2024Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
  44. NeurIPS 2024Uncovering the Redundancy in Graph Self-supervised Learning Models
  45. NeurIPS 2024Understanding the Gains from Repeated Self-Distillation
  46. NeurIPS 2024Understanding the Role of Equivariance in Self-supervised Learning
  47. NeurIPS 2024Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs
  48. NeurIPS 2024Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
  49. NeurIPS 2024Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning
  50. NeurIPS 2024Where does In-context Learning Happen in Large Language Models?

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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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