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 177 篇，第 3 / 4 页

  1. ICML 2024Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
  2. ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
  3. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
  4. ICML 2024Learning Graph Representation via Graph Entropy Maximization
  5. ICML 2024Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
  6. ICML 2024Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
  7. ICML 2024LLM-Empowered State Representation for Reinforcement Learning
  8. ICML 2024Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
  9. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
  10. ICML 2024Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
  11. ICML 2024Position: The Platonic Representation Hypothesis
  12. ICML 2024Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
  13. ICML 2024Recurrent Distance Filtering for Graph Representation Learning
  14. ICML 2024Rejuvenating image-GPT as Strong Visual Representation Learners
  15. ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
  16. ICML 2024Robustness of Nonlinear Representation Learning
  17. ICML 2024SCoRe: Submodular Combinatorial Representation Learning
  18. ICML 2024Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
  19. ICML 2024TSLANet: Rethinking Transformers for Time Series Representation Learning
  20. ICML 2024UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
  21. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
  22. ICML 2024Visual Representation Learning with Stochastic Frame Prediction
  23. ICML 2024When Representations Align: Universality in Representation Learning Dynamics
  24. NeurIPS 2024Aligning Large Language Models with Representation Editing: A Control Perspective
  25. NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
  26. NeurIPS 2024Can Transformers Smell Like Humans?
  27. NeurIPS 2024Causal Temporal Representation Learning with Nonstationary Sparse Transition
  28. NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
  29. NeurIPS 2024Conformalized Credal Set Predictors
  30. NeurIPS 2024Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
  31. NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
  32. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
  33. NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
  34. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
  35. NeurIPS 2024DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors
  36. NeurIPS 2024DMesh: A Differentiable Mesh Representation
  37. NeurIPS 2024Elliptical Attention
  38. NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
  39. NeurIPS 2024Federated Model Heterogeneous Matryoshka Representation Learning
  40. NeurIPS 2024Foundations of Multivariate Distributional Reinforcement Learning
  41. NeurIPS 2024G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
  42. NeurIPS 2024Generalization Analysis for Label-Specific Representation Learning
  43. NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
  44. NeurIPS 2024HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
  45. NeurIPS 2024HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
  46. NeurIPS 2024Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
  47. NeurIPS 2024Improving Gloss-free Sign Language Translation by Reducing Representation Density
  48. NeurIPS 2024Latent Functional Maps: a spectral framework for representation alignment
  49. NeurIPS 2024Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
  50. NeurIPS 2024Learning diverse causally emergent representations from time series data

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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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