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 279 篇，第 4 / 6 页

  1. NeurIPS 2024Offline Multitask Representation Learning for Reinforcement Learning
  2. NeurIPS 2024Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization
  3. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
  4. NeurIPS 2024Representation Noising: A Defence Mechanism Against Harmful Finetuning
  5. NeurIPS 2024Road Network Representation Learning with the Third Law of Geography
  6. NeurIPS 2024Self-Guided Masked Autoencoder
  7. NeurIPS 2024State Chrono Representation for Enhancing Generalization in Reinforcement Learning
  8. NeurIPS 2024SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
  9. NeurIPS 2024Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
  10. NeurIPS 2024Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
  11. NeurIPS 2024Transformers on Markov data: Constant depth suffices
  12. NeurIPS 2024Transformers Represent Belief State Geometry in their Residual Stream
  13. NeurIPS 2024Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
  14. NeurIPS 2024Unified Lexical Representation for Interpretable Visual-Language Alignment
  15. NeurIPS 2024Unity by Diversity: Improved Representation Learning for Multimodal VAEs
  16. NeurIPS 2024WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata
  17. NeurIPS 2024Zipfian Whitening
  18. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
  19. NeurIPS 2023$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
  20. NeurIPS 2023A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
  21. NeurIPS 2023A State Representation for Diminishing Rewards
  22. NeurIPS 2023Achieving Cross Modal Generalization with Multimodal Unified Representation
  23. NeurIPS 2023Active representation learning for general task space with applications in robotics
  24. NeurIPS 2023AdANNS: A Framework for Adaptive Semantic Search
  25. NeurIPS 2023CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes
  26. NeurIPS 2023CAT-Walk: Inductive Hypergraph Learning via Set Walks
  27. NeurIPS 2023CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
  28. NeurIPS 2023Combating Representation Learning Disparity with Geometric Harmonization
  29. NeurIPS 2023Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
  30. NeurIPS 2023Connecting Multi-modal Contrastive Representations
  31. NeurIPS 2023Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
  32. NeurIPS 2023Counterfactually Fair Representation
  33. NeurIPS 2023Data-Informed Geometric Space Selection
  34. NeurIPS 2023Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery
  35. NeurIPS 2023Deep Non-line-of-sight Imaging from Under-scanning Measurements
  36. NeurIPS 2023Differentiable Clustering with Perturbed Spanning Forests
  37. NeurIPS 2023Diffused Redundancy in Pre-trained Representations
  38. NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
  39. NeurIPS 2023Directional diffusion models for graph representation learning
  40. NeurIPS 2023Disentangling Cognitive Diagnosis with Limited Exercise Labels
  41. NeurIPS 2023DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
  42. NeurIPS 2023DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
  43. NeurIPS 2023Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
  44. NeurIPS 2023E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
  45. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
  46. NeurIPS 2023Emergent Communication for Rules Reasoning
  47. NeurIPS 2023EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
  48. NeurIPS 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
  49. NeurIPS 2023Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
  50. NeurIPS 2023Feature Selection in the Contrastive Analysis Setting

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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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