深度学习 · representation learning论文趋势 2023–2026

主要结论

• 深度学习 · representation learning论文从 2023 年的 259 篇降到 2026 年的 214 篇，热度在回落。
• NeurIPS 是发深度学习 · representation learning论文最多的会议，2023–2026 年共 279 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 11 篇增至 2026 年的 28 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 7；同组增长最快的扩散模型是 4.1 倍，深度学习 · representation learning是 0.8 倍。

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

• NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
• ICML 2026Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
• ICLR 2026Boosting Open Set Recognition Performance through Modulated Representation Learning
• CVPR 2026CanonCGT Reference-Based Color Grading via Canonical Pivot Representation
• NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
• ICML 2025Banyan: Improved Representation Learning with Explicit Structure
• ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
• ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Disentangled Prompt Representation for Domain Generalization
• NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
• ICML 2023A theory of representation learning gives a deep generalisation of kernel methods
• ICLR 2023Bispectral Neural Networks
• CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
• NeurIPS 2026Approximation in Contrastive Representation Learning
• ICML 2026Amortized Maximum Inner Product Search with Learned Support Functions
• ICLR 2026Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
• CVPR 2026Enhancing Visual Representation with Textual Semantics Textual Semantics-Powered Prototypes for

全部深度学习 · representation learning论文

共 37 篇，第 1 / 1 页

1. ICLR 2025AtomSurf: Surface Representation for Learning on Protein Structures
2. ICLR 2025Bayesian Regularization of Latent Representation
3. ICLR 2025Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing
4. ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
5. ICLR 2025Can One Modality Model Synergize Training of Other Modality Models?
6. ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
7. ICLR 2025CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
8. ICLR 2025Discovering Group Structures via Unitary Representation Learning
9. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
10. ICLR 2025Do LLMs ``know'' internally when they follow instructions?
11. ICLR 2025Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex
12. ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
13. ICLR 2025Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
14. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
15. ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
16. ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
17. ICLR 2025I-Con: A Unifying Framework for Representation Learning
18. ICLR 2025Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
19. ICLR 2025Linear Representations of Political Perspective Emerge in Large Language Models
20. ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
21. ICLR 2025Neural Spacetimes for DAG Representation Learning
22. ICLR 2025Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning
23. ICLR 2025nGPT: Normalized Transformer with Representation Learning on the Hypersphere
24. ICLR 2025NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
25. ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
26. ICLR 2025Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
27. ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
28. ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
29. ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
30. ICLR 2025Robust Representation Consistency Model via Contrastive Denoising
31. ICLR 2025Robustness Reprogramming for Representation Learning
32. ICLR 2025Semantic Aware Representation Learning for Lifelong Learning
33. ICLR 2025Sensor-Invariant Tactile Representation
34. ICLR 2025SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
35. ICLR 2025Towards a learning theory of representation alignment
36. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
37. ICLR 2025Wavelet-based Positional Representation for Long Context

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。