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 802 篇，第 14 / 17 页

  1. ICLR 2023Spacetime Representation Learning
  2. ICLR 2023Spectral Decomposition Representation for Reinforcement Learning
  3. ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
  4. ICLR 2023The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
  5. ICLR 2023Time to augment self-supervised visual representation learning
  6. ICLR 2023Toward Adversarial Training on Contextualized Language Representation
  7. ICLR 2023Uni-Mol: A Universal 3D Molecular Representation Learning Framework
  8. ICLR 2023Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
  9. ICLR 2023Weighted Ensemble Self-Supervised Learning
  10. ICML 2023A General Representation Learning Framework with Generalization Performance Guarantees
  11. ICML 2023A theory of representation learning gives a deep generalisation of kernel methods
  12. ICML 2023Adversarial Collaborative Learning on Non-IID Features
  13. ICML 2023Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  14. ICML 2023Deep Graph Representation Learning and Optimization for Influence Maximization
  15. ICML 2023Defects of Convolutional Decoder Networks in Frequency Representation
  16. ICML 2023Diffusion Based Representation Learning
  17. ICML 2023Disentangled Multiplex Graph Representation Learning
  18. ICML 2023Dynamics-inspired Neuromorphic Visual Representation Learning
  19. ICML 2023Entropy-driven Unsupervised Keypoint Representation Learning in Videos
  20. ICML 2023FARE: Provably Fair Representation Learning with Practical Certificates
  21. ICML 2023Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation
  22. ICML 2023FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
  23. ICML 2023Generalization Analysis for Contrastive Representation Learning
  24. ICML 2023Hyperbolic Representation Learning: Revisiting and Advancing
  25. ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
  26. ICML 2023Internet Explorer: Targeted Representation Learning on the Open Web
  27. ICML 2023Interventional Causal Representation Learning
  28. ICML 2023Learning Affinity with Hyperbolic Representation for Spatial Propagation
  29. ICML 2023Multi-task Representation Learning for Pure Exploration in Linear Bandits
  30. ICML 2023On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
  31. ICML 2023Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
  32. ICML 2023Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
  33. ICML 2023Representation-Driven Reinforcement Learning
  34. ICML 2023Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition
  35. ICML 2023Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
  36. ICML 2023The Numerical Stability of Hyperbolic Representation Learning
  37. ICML 2023Tied-Augment: Controlling Representation Similarity Improves Data Augmentation
  38. ICML 2023Towards a better understanding of representation dynamics under TD-learning
  39. ICML 2023Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
  40. ICML 2023Weakly Supervised Disentangled Generative Causal Representation Learning
  41. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
  42. NeurIPS 2023$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
  43. NeurIPS 2023A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
  44. NeurIPS 2023A State Representation for Diminishing Rewards
  45. NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
  46. NeurIPS 2023Active representation learning for general task space with applications in robotics
  47. NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
  48. NeurIPS 2023CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes
  49. NeurIPS 2023CAT-Walk: Inductive Hypergraph Learning via Set Walks
  50. NeurIPS 2023CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation

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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"}

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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 · 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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