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 112 篇，第 1 / 3 页

  1. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
  2. NeurIPS 2023$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
  3. NeurIPS 2023A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
  4. NeurIPS 2023A State Representation for Diminishing Rewards
  5. NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
  6. NeurIPS 2023Active representation learning for general task space with applications in robotics
  7. NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
  8. NeurIPS 2023CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes
  9. NeurIPS 2023CAT-Walk: Inductive Hypergraph Learning via Set Walks
  10. NeurIPS 2023CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
  11. NeurIPS 2023Combating Representation Learning Disparity with Geometric Harmonization
  12. NeurIPS 2023Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
  13. NeurIPS 2023Connecting Multi-modal Contrastive Representations
  14. NeurIPS 2023Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
  15. NeurIPS 2023Counterfactually Fair Representation
  16. NeurIPS 2023Data-Informed Geometric Space Selection
  17. NeurIPS 2023Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery
  18. NeurIPS 2023Deep Non-line-of-sight Imaging from Under-scanning Measurements
  19. NeurIPS 2023Differentiable Clustering with Perturbed Spanning Forests
  20. NeurIPS 2023Diffused Redundancy in Pre-trained Representations
  21. NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
  22. NeurIPS 2023Directional diffusion models for graph representation learning
  23. NeurIPS 2023Disentangling Cognitive Diagnosis with Limited Exercise Labels
  24. NeurIPS 2023DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  25. NeurIPS 2023DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
  26. NeurIPS 2023Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
  27. NeurIPS 2023E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
  28. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
  29. NeurIPS 2023Emergent Communication for Rules Reasoning
  30. NeurIPS 2023EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
  31. NeurIPS 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
  32. NeurIPS 2023Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
  33. NeurIPS 2023Feature Selection in the Contrastive Analysis Setting
  34. NeurIPS 2023Flow Factorized Representation Learning
  35. NeurIPS 2023FLSL: Feature-level Self-supervised Learning
  36. NeurIPS 2023For SALE: State-Action Representation Learning for Deep Reinforcement Learning
  37. NeurIPS 2023FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
  38. NeurIPS 2023Full-Atom Protein Pocket Design via Iterative Refinement
  39. NeurIPS 2023Fundamental Limits and Tradeoffs in Invariant Representation Learning
  40. NeurIPS 2023Going beyond persistent homology using persistent homology
  41. NeurIPS 2023Guide Your Agent with Adaptive Multimodal Rewards
  42. NeurIPS 2023HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
  43. NeurIPS 2023How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
  44. NeurIPS 2023Hyperbolic VAE via Latent Gaussian Distributions
  45. NeurIPS 2023HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
  46. NeurIPS 2023Identifiable Contrastive Learning with Automatic Feature Importance Discovery
  47. NeurIPS 2023Ignorance is Bliss: Robust Control via Information Gating
  48. NeurIPS 2023Implicit Contrastive Representation Learning with Guided Stop-gradient
  49. NeurIPS 2023Improving neural network representations using human similarity judgments
  50. NeurIPS 2023Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks

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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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