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 2 / 4 页

  1. ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
  2. ICLR 2025Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
  3. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
  4. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
  5. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
  6. ICLR 2025I-Con: A Unifying Framework for Representation Learning
  7. ICLR 2025Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
  8. ICLR 2025Linear Representations of Political Perspective Emerge in Large Language Models
  9. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
  10. ICLR 2025Neural Spacetimes for DAG Representation Learning
  11. ICLR 2025Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
  12. ICLR 2025nGPT: Normalized Transformer with Representation Learning on the Hypersphere
  13. ICLR 2025NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
  14. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
  15. ICLR 2025Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
  16. ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
  17. ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
  18. ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
  19. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
  20. ICLR 2025Robustness Reprogramming for Representation Learning
  21. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
  22. ICLR 2025Sensor-Invariant Tactile Representation
  23. ICLR 2025SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
  24. ICLR 2025Towards a learning theory of representation alignment
  25. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
  26. ICLR 2025Wavelet-based Positional Representation for Long Context
  27. ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
  28. ICLR 2024A representation-learning game for classes of prediction tasks
  29. ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation
  30. ICLR 2024AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
  31. ICLR 2024Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
  32. ICLR 2024CODE REPRESENTATION LEARNING AT SCALE
  33. ICLR 2024Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
  34. ICLR 2024Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
  35. ICLR 2024Evaluating Representation Learning on the Protein Structure Universe
  36. ICLR 2024Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
  37. ICLR 2024Feature Collapse
  38. ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
  39. ICLR 2024Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
  40. ICLR 2024Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
  41. ICLR 2024Investigating the Benefits of Projection Head for Representation Learning
  42. ICLR 2024Learning Implicit Representation for Reconstructing Articulated Objects
  43. ICLR 2024Let Models Speak Ciphers: Multiagent Debate through Embeddings
  44. ICLR 2024MAP IT to Visualize Representations
  45. ICLR 2024Modelling complex vector drawings with stroke-clouds
  46. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
  47. ICLR 2024On the Role of Discrete Tokenization in Visual Representation Learning
  48. ICLR 2024Polynomial Width is Sufficient for Set Representation with High-dimensional Features
  49. ICLR 2024Predictive auxiliary objectives in deep RL mimic learning in the brain
  50. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization

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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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