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 472 篇，第 4 / 10 页

  1. ICLR 2024Exploring Target Representations for Masked Autoencoders
  2. ICLR 2024Fast Hyperboloid Decision Tree Algorithms
  3. ICLR 2024Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
  4. ICLR 2024Feature-aligned N-BEATS with Sinkhorn divergence
  5. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
  6. ICLR 2024Finite Scalar Quantization: VQ-VAE Made Simple
  7. ICLR 2024Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
  8. ICLR 2024Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
  9. ICLR 2024From Sparse to Soft Mixtures of Experts
  10. ICLR 2024Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
  11. ICLR 2024Generating Pragmatic Examples to Train Neural Program Synthesizers
  12. ICLR 2024GraphPulse: Topological representations for temporal graph property prediction
  13. ICLR 2024Grounded Object-Centric Learning
  14. ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
  15. ICLR 2024How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
  16. ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
  17. ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
  18. ICLR 2024HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
  19. ICLR 2024Hypergraph Dynamic System
  20. ICLR 2024iGraphMix: Input Graph Mixup Method for Node Classification
  21. ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
  22. ICLR 2024InfoCon: Concept Discovery with Generative and Discriminative Informativeness
  23. ICLR 2024Information Retention via Learning Supplemental Features
  24. ICLR 2024Initializing Models with Larger Ones
  25. ICLR 2024Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
  26. ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
  27. ICLR 2024Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
  28. ICLR 2024Knowledge Distillation Based on Transformed Teacher Matching
  29. ICLR 2024Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
  30. ICLR 2024Language Model Self-improvement by Reinforcement Learning Contemplation
  31. ICLR 2024Large-scale Training of Foundation Models for Wearable Biosignals
  32. ICLR 2024Layer-wise linear mode connectivity
  33. ICLR 2024LDReg: Local Dimensionality Regularized Self-Supervised Learning
  34. ICLR 2024Learning 3D Particle-based Simulators from RGB-D Videos
  35. ICLR 2024Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
  36. ICLR 2024Learning Multi-Faceted Prototypical User Interests
  37. ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
  38. ICLR 2024Learning to design protein-protein interactions with enhanced generalization
  39. ICLR 2024Learning to Embed Time Series Patches Independently
  40. ICLR 2024LEMON: Lossless model expansion
  41. ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
  42. ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
  43. ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
  44. ICLR 2024Looped Transformers are Better at Learning Learning Algorithms
  45. ICLR 2024Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
  46. ICLR 2024Masked Completion via Structured Diffusion with White-Box Transformers
  47. ICLR 2024Masked Distillation Advances Self-Supervised Transformer Architecture Search
  48. ICLR 2024MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
  49. ICLR 2024Mean Field Theory in Deep Metric Learning
  50. ICLR 2024Memorization in Self-Supervised Learning Improves Downstream Generalization

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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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