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 42 篇，第 1 / 1 页

1. CVPR 2026Action Motifs Self-Supervised Hierarchical Representation of Human Body Movements
2. CVPR 2026CanonCGT Reference-Based Color Grading via Canonical Pivot Representation
3. CVPR 2026CARLoS Retrieval via Concise Assessment Representation of LoRAs at Scale
4. CVPR 2026Coordinate Denoising for Non-Equilibrium Molecular Representation Learning
5. CVPR 2026Cross-Hand Latent Representation for Vision-Language-Action Models
6. CVPR 2026D2Dewarp Dual Dimensions Geometric Representation Learning Based Document Image Dewarping
7. CVPR 2026DiverseDiT Towards Diverse Representation Learning in Diffusion Transformers
8. CVPR 2026Diversity over Uniformity Rethinking Representation in Generated Image Detection
9. CVPR 2026DynamicGTR Leveraging Graph Topology Representation Preferences to Boost VLM Capabilities
10. CVPR 2026Enhancing Visual Representation with Textual Semantics Textual Semantics-Powered Prototypes for
11. CVPR 2026Faithful Contouring Near-Lossless 3D Voxel Representation Free from Iso-surface
12. CVPR 2026FedRE A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
13. CVPR 2026FedRG Unleashing the Representation Geometry for Federated Learning with Noisy
14. CVPR 2026Focus-to-Perceive Representation Learning A Cognition-Inspired Hierarchical Framework for Endoscopic Video
15. CVPR 2026Franca Nested Matryoshka Clustering for Scalable Visual Representation Learning
16. CVPR 2026GeoSemba Reconstructing State Space Model for Cross Paradigm Representation in
17. CVPR 2026GSNR Graph Smooth Null-Space Representation for Inverse Problems
18. CVPR 2026Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation
19. CVPR 2026H2-Surv Hierarchical Hyperbolic Multimodal Representation Learning for Survival Prediction
20. CVPR 2026Hilbert Curve-Based Attention Enabling Topology-Preserving Image Tensor Representation for Semantic
21. CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork
22. CVPR 2026Is the Modality Gap a Bug or a Feature A
23. CVPR 2026Layered 4D-Rotor Gaussian Splatting A Compressed Representation for Long Dynamic
24. CVPR 2026LRHDR Learning Representation-enhanced HDR Video Reconstruction
25. CVPR 2026MeanFlow Transformers with Representation Autoencoders
26. CVPR 2026MOON2.0 Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding
27. CVPR 2026POUR A Provably Optimal Method for Unlearning Representation via Neural
28. CVPR 2026Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language
29. CVPR 2026ReMoRa Multimodal Large Language Model based on Refined Motion Representation
30. CVPR 2026Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
31. CVPR 2026Residual Connections Harm Generative Representation Learning
32. CVPR 2026Rethinking Intermediate Representation for VLM-based Robot Manipulation
33. CVPR 2026SARMAE Masked Autoencoder for SAR Representation Learning
34. CVPR 2026Self-Attention Driven Tensor Representation for High-Order Data Recovery
35. CVPR 2026STUR3D Spatio-Temporal Unified Representation Learning for 3D Object Detection
36. CVPR 2026Temporal Representation Enhancement TRE Learning to Forget Dominant Patterns for
37. CVPR 2026Time Without Time Pseudo-Temporal Representation for Space-Time Super-Resolution
38. CVPR 2026TokenHand Discrete Token Representation for Efficient Hand Mesh Reconstruction
39. CVPR 2026UniLight A Unified Representation for Lighting
40. CVPR 2026VectorArk Learning Practical Image Vectorization with Rounded Polygon Representation
41. CVPR 2026VIRD View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
42. CVPR 2026When Local Rules Create Global Order Self-Organized Representation Learning for

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。