深度学习 · representation learning论文趋势 2023–2026

ICML/NeurIPS 深度学习方向：representation_learning

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 802 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 · representation learning论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023112583158259
202454384243177
202554373526152
202659397442214

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 · representation learning论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 279 篇，第 5 / 6 页

  1. NeurIPS 2023Flow Factorized Representation Learning
  2. NeurIPS 2023FLSL: Feature-level Self-supervised Learning
  3. NeurIPS 2023For SALE: State-Action Representation Learning for Deep Reinforcement Learning
  4. NeurIPS 2023FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
  5. NeurIPS 2023Full-Atom Protein Pocket Design via Iterative Refinement
  6. NeurIPS 2023Fundamental Limits and Tradeoffs in Invariant Representation Learning
  7. NeurIPS 2023Going beyond persistent homology using persistent homology
  8. NeurIPS 2023Guide Your Agent with Adaptive Multimodal Rewards
  9. NeurIPS 2023HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
  10. NeurIPS 2023How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
  11. NeurIPS 2023Hyperbolic VAE via Latent Gaussian Distributions
  12. NeurIPS 2023HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
  13. NeurIPS 2023Identifiable Contrastive Learning with Automatic Feature Importance Discovery
  14. NeurIPS 2023Ignorance is Bliss: Robust Control via Information Gating
  15. NeurIPS 2023Implicit Contrastive Representation Learning with Guided Stop-gradient
  16. NeurIPS 2023Improving neural network representations using human similarity judgments
  17. NeurIPS 2023Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
  18. NeurIPS 2023Invariant Learning via Probability of Sufficient and Necessary Causes
  19. NeurIPS 2023Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
  20. NeurIPS 2023Learning Interpretable Low-dimensional Representation via Physical Symmetry
  21. NeurIPS 2023Learning Invariant Molecular Representation in Latent Discrete Space
  22. NeurIPS 2023Learning Time-Invariant Representations for Individual Neurons from Population Dynamics
  23. NeurIPS 2023Locality-Aware Generalizable Implicit Neural Representation
  24. NeurIPS 2023Lovász Principle for Unsupervised Graph Representation Learning
  25. NeurIPS 2023MARBLE: Music Audio Representation Benchmark for Universal Evaluation
  26. NeurIPS 2023MAViL: Masked Audio-Video Learners
  27. NeurIPS 2023May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
  28. NeurIPS 2023Minimum Description Length and Generalization Guarantees for Representation Learning
  29. NeurIPS 2023Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
  30. NeurIPS 2023Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
  31. NeurIPS 2023MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
  32. NeurIPS 2023NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
  33. NeurIPS 2023NCDL: A Framework for Deep Learning on non-Cartesian Lattices
  34. NeurIPS 2023Near-optimal learning with average Hölder smoothness
  35. NeurIPS 2023No Representation Rules Them All in Category Discovery
  36. NeurIPS 2023Nonparametric Identifiability of Causal Representations from Unknown Interventions
  37. NeurIPS 2023Object-centric Learning with Cyclic Walks between Parts and Whole
  38. NeurIPS 2023Optimistic Rates for Multi-Task Representation Learning
  39. NeurIPS 2023PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
  40. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
  41. NeurIPS 2023Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
  42. NeurIPS 2023Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
  43. NeurIPS 2023Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion
  44. NeurIPS 2023PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
  45. NeurIPS 2023PyNeRF: Pyramidal Neural Radiance Fields
  46. NeurIPS 2023Rank-N-Contrast: Learning Continuous Representations for Regression
  47. NeurIPS 2023Reading Relevant Feature from Global Representation Memory for Visual Object Tracking
  48. NeurIPS 2023Reining Generalization in Offline Reinforcement Learning via Representation Distinction
  49. NeurIPS 2023RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
  50. NeurIPS 2023Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning

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接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查深度学习 · representation learning在 NeurIPS 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-representation-learning"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · representation learning论文？
共 802 篇，按年份分别是 2023 年 259 篇、2024 年 177 篇、2025 年 152 篇、2026 年 214 篇。
NeurIPS 2026 有多少篇深度学习 · representation learning论文？
NeurIPS 2026 有 59 篇深度学习 · representation learning论文，上一届是 54 篇。
ICLR 2026 有多少篇深度学习 · representation learning论文？
ICLR 2026 有 39 篇深度学习 · representation learning论文，上一届是 37 篇。
ICML 2026 有多少篇深度学习 · representation learning论文？
ICML 2026 有 74 篇深度学习 · representation learning论文，上一届是 35 篇。
CVPR 2026 有多少篇深度学习 · representation learning论文？
CVPR 2026 有 42 篇深度学习 · representation learning论文，上一届是 26 篇。
哪个会议的深度学习 · representation learning论文最多？
NeurIPS，2023–2026 年共 279 篇。

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