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 6 / 6 页

  1. NeurIPS 2023Representation Learning via Consistent Assignment of Views over Random Partitions
  2. NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
  3. NeurIPS 2023RevColV2: Exploring Disentangled Representations in Masked Image Modeling
  4. NeurIPS 2023Reverse Engineering Self-Supervised Learning
  5. NeurIPS 2023RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
  6. NeurIPS 2023Robust Concept Erasure via Kernelized Rate-Distortion Maximization
  7. NeurIPS 2023Rotating Features for Object Discovery
  8. NeurIPS 2023SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
  9. NeurIPS 2023Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
  10. NeurIPS 2023Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
  11. NeurIPS 2023SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization
  12. NeurIPS 2023Slot-guided Volumetric Object Radiance Fields
  13. NeurIPS 2023StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
  14. NeurIPS 2023State Sequences Prediction via Fourier Transform for Representation Learning
  15. NeurIPS 2023STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
  16. NeurIPS 2023Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
  17. NeurIPS 2023Temporally Disentangled Representation Learning under Unknown Nonstationarity
  18. NeurIPS 2023The Tunnel Effect: Building Data Representations in Deep Neural Networks
  19. NeurIPS 2023TopoSRL: Topology preserving self-supervised Simplicial Representation Learning
  20. NeurIPS 2023Towards a Unified Framework of Contrastive Learning for Disentangled Representations
  21. NeurIPS 2023Towards In-context Scene Understanding
  22. NeurIPS 2023Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
  23. NeurIPS 2023Tree Variational Autoencoders
  24. NeurIPS 2023Uncovering Meanings of Embeddings via Partial Orthogonality
  25. NeurIPS 2023Uncovering Neural Scaling Laws in Molecular Representation Learning
  26. NeurIPS 2023Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
  27. NeurIPS 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
  28. NeurIPS 2023VoxDet: Voxel Learning for Novel Instance Detection
  29. NeurIPS 2023White-Box Transformers via Sparse Rate Reduction

在 Claude、Cursor 里直接问这个趋势

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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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