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 43 篇，第 1 / 1 页

1. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
2. CVPR 2024ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
3. CVPR 2024Clustering for Protein Representation Learning
4. CVPR 2024Compact 3D Gaussian Representation for Radiance Field
5. CVPR 2024Continuous Pose for Monocular Cameras in Neural Implicit Representation
6. CVPR 2024CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
7. CVPR 2024DaReNeRF: Direction-aware Representation for Dynamic Scenes
8. CVPR 2024Disentangled Prompt Representation for Domain Generalization
9. CVPR 2024Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
10. CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
11. CVPR 2024Free3D: Consistent Novel View Synthesis without 3D Representation
12. CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
13. CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
14. CVPR 2024Improved Implicit Neural Representation with Fourier Reparameterized Training
15. CVPR 2024Latent Modulated Function for Computational Optimal Continuous Image Representation
16. CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
17. CVPR 2024Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
18. CVPR 2024Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
19. CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
20. CVPR 2024MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
21. CVPR 2024MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
22. CVPR 2024Mean-Shift Feature Transformer
23. CVPR 2024MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
24. CVPR 2024Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
25. CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
26. CVPR 2024NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
27. CVPR 2024Neural Clustering based Visual Representation Learning
28. CVPR 2024Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
29. CVPR 2024Neural Underwater Scene Representation
30. CVPR 2024PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
31. CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
32. CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
33. CVPR 2024Rethinking Multi-view Representation Learning via Distilled Disentangling
34. CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
35. CVPR 2024Rotation-Agnostic Image Representation Learning for Digital Pathology
36. CVPR 2024Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
37. CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
38. CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
39. CVPR 2024SODA: Bottleneck Diffusion Models for Representation Learning
40. CVPR 2024Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
41. CVPR 2024TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation
42. CVPR 2024Transcriptomics-guided Slide Representation Learning in Computational Pathology
43. CVPR 2024Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes

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。