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 279 篇，第 2 / 6 页

51. NeurIPS 2026Representation Learning Enables Scalable Multitask Deep Reinforcement Learning
52. NeurIPS 2026Representation Preconditioning for Efficient Diffusion Model Training
53. NeurIPS 2026Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning
54. NeurIPS 2026Senses Wide Shut: A Representation-Action Gap in Omnimodal LLMs
55. NeurIPS 2026The Bayesian Origin of the Probability Weighting Function in Human Representation of Probabilities
56. NeurIPS 2026The Geometry of Agent Skills: Non-Commutative Composition in Representation Space
57. NeurIPS 2026TopoPrune: Robust Data Pruning via Unified Latent Space Topology
58. NeurIPS 2026TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders
59. NeurIPS 2026What Does the Brain See? Multiview Neural Representation to Demystify the Brain-Visual Alignment
60. NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
61. NeurIPS 2025Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
62. NeurIPS 2025Anti-Aliased 2D Gaussian Splatting
63. NeurIPS 2025Auto-Compressing Networks
64. NeurIPS 2025Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
65. NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
66. NeurIPS 2025Conditional Representation Learning for Customized Tasks
67. NeurIPS 2025Connecting Neural Models Latent Geometries with Relative Geodesic Representations
68. NeurIPS 2025DISCO: Disentangled Communication Steering for Large Language Models
69. NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
70. NeurIPS 2025Disentangled Representation Learning via Modular Compositional Bias
71. NeurIPS 2025Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
72. NeurIPS 2025EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
73. NeurIPS 2025FORLA: Federated Object-centric Representation Learning with Slot Attention
74. NeurIPS 2025GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
75. NeurIPS 2025Global Minimizers of Sigmoid Contrastive Loss
76. NeurIPS 2025Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals
77. NeurIPS 2025H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting
78. NeurIPS 2025How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
79. NeurIPS 2025Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
80. NeurIPS 2025Learning Differential Pyramid Representation for Tone Mapping
81. NeurIPS 2025Learning Generalizable Shape Completion with SIM(3) Equivariance
82. NeurIPS 2025Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
83. NeurIPS 2025LLM Interpretability with Identifiable Temporal-Instantaneous Representation
84. NeurIPS 2025MaxSup: Overcoming Representation Collapse in Label Smoothing
85. NeurIPS 2025Measure-Theoretic Anti-Causal Representation Learning
86. NeurIPS 2025Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
87. NeurIPS 2025More of the Same: Persistent Representational Harms Under Increased Representation
88. NeurIPS 2025NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
89. NeurIPS 2025On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
90. NeurIPS 2025Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
91. NeurIPS 2025PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
92. NeurIPS 2025Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
93. NeurIPS 2025PoLAR: Polar-Decomposed Low-Rank Adapter Representation
94. NeurIPS 2025Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
95. NeurIPS 2025Random Forest Autoencoders for Guided Representation Learning
96. NeurIPS 2025REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
97. NeurIPS 2025Reward-oriented Causal Representation Learning
98. NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
99. NeurIPS 2025Scaling Language-centric Omnimodal Representation Learning
100. NeurIPS 2025Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning

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。