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 172 篇，第 3 / 4 页

  1. ICLR 2024Proper Laplacian Representation Learning
  2. ICLR 2024Protein-ligand binding representation learning from fine-grained interactions
  3. ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
  4. ICLR 2024Self-supervised Representation Learning from Random Data Projectors
  5. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
  6. ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
  7. ICLR 2024Simplicial Representation Learning with Neural $k$-Forms
  8. ICLR 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
  9. ICLR 2024State Representation Learning Using an Unbalanced Atlas
  10. ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
  11. ICLR 2024Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
  12. ICLR 2024T-Rep: Representation Learning for Time Series using Time-Embeddings
  13. ICLR 2024Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
  14. ICLR 2024Towards Principled Representation Learning from Videos for Reinforcement Learning
  15. ICLR 2023Actionable Neural Representations: Grid Cells from Minimal Constraints
  16. ICLR 2023Advancing Radiograph Representation Learning with Masked Record Modeling
  17. ICLR 2023Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
  18. ICLR 2023Are More Layers Beneficial to Graph Transformers?
  19. ICLR 2023Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  20. ICLR 2023Behavior Prior Representation learning for Offline Reinforcement Learning
  21. ICLR 2023Bispectral Neural Networks
  22. ICLR 2023BrainBERT: Self-supervised representation learning for intracranial recordings
  23. ICLR 2023Constructive TT-representation of the tensors given as index interaction functions with applications
  24. ICLR 2023Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
  25. ICLR 2023DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
  26. ICLR 2023Differentiable Mathematical Programming for Object-Centric Representation Learning
  27. ICLR 2023Disentanglement of Correlated Factors via Hausdorff Factorized Support
  28. ICLR 2023Disentangling Learning Representations with Density Estimation
  29. ICLR 2023Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
  30. ICLR 2023Efficient Conditionally Invariant Representation Learning
  31. ICLR 2023Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
  32. ICLR 2023Evaluating Representations with Readout Model Switching
  33. ICLR 2023Finding the Global Semantic Representation in GAN through Fréchet Mean
  34. ICLR 2023Gromov-Wasserstein Autoencoders
  35. ICLR 2023How robust is unsupervised representation learning to distribution shift?
  36. ICLR 2023Hyperbolic Deep Reinforcement Learning
  37. ICLR 2023Improving Out-of-distribution Generalization with Indirection Representations
  38. ICLR 2023Is a Caption Worth a Thousand Images? A Study on Representation Learning
  39. ICLR 2023Language Modelling with Pixels
  40. ICLR 2023Latent Variable Representation for Reinforcement Learning
  41. ICLR 2023Learning Domain-Agnostic Representation for Disease Diagnosis
  42. ICLR 2023Learning Language Representations with Logical Inductive Bias
  43. ICLR 2023Learning Structured Representations by Embedding Class Hierarchy
  44. ICLR 2023Learning topology-preserving data representations
  45. ICLR 2023Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
  46. ICLR 2023Logical Message Passing Networks with One-hop Inference on Atomic Formulas
  47. ICLR 2023Mitigating Memorization of Noisy Labels via Regularization between Representations
  48. ICLR 2023Multivariate Time-series Imputation with Disentangled Temporal Representations
  49. ICLR 2023Neural Implicit Shape Editing using Boundary Sensitivity
  50. ICLR 2023Neural Radiance Field Codebooks

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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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