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 58 篇，第 1 / 2 页

1. CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
2. CVPR 2023AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation
3. CVPR 2023ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources
4. CVPR 2023Backdoor Defense via Deconfounded Representation Learning
5. CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
6. CVPR 2023CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
7. CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation
8. CVPR 2023Difficulty-Based Sampling for Debiased Contrastive Representation Learning
9. CVPR 2023DINER: Disorder-Invariant Implicit Neural Representation
10. CVPR 2023Disentangled Representation Learning for Unsupervised Neural Quantization
11. CVPR 2023Enhanced Multimodal Representation Learning With Cross-Modal KD
12. CVPR 2023ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
13. CVPR 2023EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
14. CVPR 2023Explaining Image Classifiers With Multiscale Directional Image Representation
15. CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
16. CVPR 2023Graph Representation for Order-Aware Visual Transformation
17. CVPR 2023HexPlane: A Fast Representation for Dynamic Scenes
18. CVPR 2023Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
19. CVPR 2023HNeRV: A Hybrid Neural Representation for Videos
20. CVPR 2023Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
21. CVPR 2023Improving Visual Representation Learning Through Perceptual Understanding
22. CVPR 2023Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
23. CVPR 2023Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective
24. CVPR 2023Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs
25. CVPR 2023Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
26. CVPR 2023Learning Partial Correlation Based Deep Visual Representation for Image Classification
27. CVPR 2023Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing
28. CVPR 2023Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
29. CVPR 2023Local Implicit Ray Function for Generalizable Radiance Field Representation
30. CVPR 2023Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
31. CVPR 2023MARLIN: Masked Autoencoder for Facial Video Representation LearnINg
32. CVPR 2023Masked Representation Learning for Domain Generalized Stereo Matching
33. CVPR 2023Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
34. CVPR 2023Masked Wavelet Representation for Compact Neural Radiance Fields
35. CVPR 2023MetaViewer: Towards a Unified Multi-View Representation
36. CVPR 2023Mixed Autoencoder for Self-Supervised Visual Representation Learning
37. CVPR 2023Movies2Scenes: Using Movie Metadata To Learn Scene Representation
38. CVPR 2023Multi-View Stereo Representation Revist: Region-Aware MVSNet
39. CVPR 2023NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction
40. CVPR 2023Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision
41. CVPR 2023Neural Vector Fields: Implicit Representation by Explicit Learning
42. CVPR 2023Open-Set Representation Learning Through Combinatorial Embedding
43. CVPR 2023PanelNet: Understanding 360 Indoor Environment via Panel Representation
44. CVPR 2023PointVector: A Vector Representation in Point Cloud Analysis
45. CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
46. CVPR 2023Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis
47. CVPR 2023Regularize Implicit Neural Representation by Itself
48. CVPR 2023Representation Learning for Visual Object Tracking by Masked Appearance Transfer
49. CVPR 2023Self-Supervised Representation Learning for CAD
50. CVPR 2023Superclass Learning With Representation Enhancement

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。