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 26 / 40 页

  1. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
  2. ICLR 2024P2Seg: Pointly-supervised Segmentation via Mutual Distillation
  3. ICLR 2024Parametric Augmentation for Time Series Contrastive Learning
  4. ICLR 2024Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
  5. ICLR 2024Perceptual Group Tokenizer: Building Perception with Iterative Grouping
  6. ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
  7. ICLR 2024Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
  8. ICLR 2024Poly-View Contrastive Learning
  9. ICLR 2024PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
  10. ICLR 2024Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
  11. ICLR 2024Pre-training with Random Orthogonal Projection Image Modeling
  12. ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
  13. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
  14. ICLR 2024Protein-ligand binding representation learning from fine-grained interactions
  15. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
  16. ICLR 2024R-MAE: Regions Meet Masked Autoencoders
  17. ICLR 2024Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  18. ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
  19. ICLR 2024REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
  20. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
  21. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
  22. ICLR 2024Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
  23. ICLR 2024Rethinking the Uniformity Metric in Self-Supervised Learning
  24. ICLR 2024Retrieval-based Disentangled Representation Learning with Natural Language Supervision
  25. ICLR 2024RingAttention with Blockwise Transformers for Near-Infinite Context
  26. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
  27. ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
  28. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
  29. ICLR 2024SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
  30. ICLR 2024SALMON: Self-Alignment with Instructable Reward Models
  31. ICLR 2024Scalable Monotonic Neural Networks
  32. ICLR 2024Scaling Supervised Local Learning with Augmented Auxiliary Networks
  33. ICLR 2024Self-Alignment with Instruction Backtranslation
  34. ICLR 2024Self-Consuming Generative Models Go MAD
  35. ICLR 2024Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
  36. ICLR 2024Self-Supervised Contrastive Learning for Long-term Forecasting
  37. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
  38. ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
  39. ICLR 2024Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
  40. ICLR 2024Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
  41. ICLR 2024Self-supervised Representation Learning from Random Data Projectors
  42. ICLR 2024Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
  43. ICLR 2024SemiReward: A General Reward Model for Semi-supervised Learning
  44. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
  45. ICLR 2024SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
  46. ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
  47. ICLR 2024Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
  48. ICLR 2024Simplifying Transformer Blocks
  49. ICLR 2024Soft Contrastive Learning for Time Series
  50. ICLR 2024SOHES: Self-supervised Open-world Hierarchical Entity Segmentation

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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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