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 169 篇，第 2 / 4 页

51. CVPR 2025Improve Representation for Imbalanced Regression through Geometric Constraints
52. CVPR 2025Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
53. CVPR 2025LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
54. CVPR 2025MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
55. CVPR 2025MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
56. CVPR 2025NN-Former: Rethinking Graph Structure in Neural Architecture Representation
57. CVPR 2025Omni-ID: Holistic Identity Representation Designed for Generative Tasks
58. CVPR 2025Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction
59. CVPR 2025PolarNeXt: Rethink Instance Segmentation with Polar Representation
60. CVPR 2025SEAL: Semantic Attention Learning for Long Video Representation
61. CVPR 2025Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
62. CVPR 2025Spectral State Space Model for Rotation-Invariant Visual Representation Learning
63. CVPR 2025STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds
64. CVPR 2025STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
65. CVPR 2025Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
66. CVPR 2025Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning
67. CVPR 2025VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning
68. CVPR 2025When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
69. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
70. CVPR 2024ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
71. CVPR 2024Clustering for Protein Representation Learning
72. CVPR 2024Compact 3D Gaussian Representation for Radiance Field
73. CVPR 2024Continuous Pose for Monocular Cameras in Neural Implicit Representation
74. CVPR 2024CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
75. CVPR 2024DaReNeRF: Direction-aware Representation for Dynamic Scenes
76. CVPR 2024Disentangled Prompt Representation for Domain Generalization
77. CVPR 2024Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
78. CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
79. CVPR 2024Free3D: Consistent Novel View Synthesis without 3D Representation
80. CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
81. CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
82. CVPR 2024Improved Implicit Neural Representation with Fourier Reparameterized Training
83. CVPR 2024Latent Modulated Function for Computational Optimal Continuous Image Representation
84. CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
85. CVPR 2024Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
86. CVPR 2024Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
87. CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
88. CVPR 2024MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
89. CVPR 2024MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
90. CVPR 2024Mean-Shift Feature Transformer
91. CVPR 2024MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
92. CVPR 2024Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
93. CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
94. CVPR 2024NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
95. CVPR 2024Neural Clustering based Visual Representation Learning
96. CVPR 2024Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
97. CVPR 2024Neural Underwater Scene Representation
98. CVPR 2024PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
99. CVPR 2024PoNQ: a Neural QEM-based Mesh Representation
100. CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model

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。