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 10 / 17 页

  1. ICML 2024Causal Representation Learning from Multiple Distributions: A General Setting
  2. ICML 2024Causal Representation Learning Made Identifiable by Grouping of Observational Variables
  3. ICML 2024Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
  4. ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
  5. ICML 2024Deep Regression Representation Learning with Topology
  6. ICML 2024Denoising Autoregressive Representation Learning
  7. ICML 2024Differentiable Mapper for Topological Optimization of Data Representation
  8. ICML 2024Differentially Private Representation Learning via Image Captioning
  9. ICML 2024Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
  10. ICML 2024Evolution-Inspired Loss Functions for Protein Representation Learning
  11. ICML 2024Feasibility Consistent Representation Learning for Safe Reinforcement Learning
  12. ICML 2024Federated Representation Learning in the Under-Parameterized Regime
  13. ICML 2024Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
  14. ICML 2024Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
  15. ICML 2024GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
  16. ICML 2024Graph2Tac: Online Representation Learning of Formal Math Concepts
  17. ICML 2024Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
  18. ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
  19. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
  20. ICML 2024Learning Graph Representation via Graph Entropy Maximization
  21. ICML 2024Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
  22. ICML 2024Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
  23. ICML 2024LLM-Empowered State Representation for Reinforcement Learning
  24. ICML 2024Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
  25. ICML 2024Polynomial-based Self-Attention for Table Representation Learning
  26. ICML 2024Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
  27. ICML 2024Position: The Platonic Representation Hypothesis
  28. ICML 2024Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
  29. ICML 2024Recurrent Distance Filtering for Graph Representation Learning
  30. ICML 2024Rejuvenating image-GPT as Strong Visual Representation Learners
  31. ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
  32. ICML 2024Robustness of Nonlinear Representation Learning
  33. ICML 2024SCoRe: Submodular Combinatorial Representation Learning
  34. ICML 2024Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
  35. ICML 2024TSLANet: Rethinking Transformers for Time Series Representation Learning
  36. ICML 2024UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
  37. ICML 2024Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms
  38. ICML 2024Visual Representation Learning with Stochastic Frame Prediction
  39. ICML 2024When Representations Align: Universality in Representation Learning Dynamics
  40. NeurIPS 2024Aligning Large Language Models with Representation Editing: A Control Perspective
  41. NeurIPS 2024AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
  42. NeurIPS 2024Can Transformers Smell Like Humans?
  43. NeurIPS 2024Causal Temporal Representation Learning with Nonstationary Sparse Transition
  44. NeurIPS 2024CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
  45. NeurIPS 2024Conformalized Credal Set Predictors
  46. NeurIPS 2024Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation
  47. NeurIPS 2024Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
  48. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
  49. NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
  50. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation 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"}

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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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