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 59 篇，第 1 / 2 页

1. NeurIPS 2026A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion
2. NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
3. NeurIPS 2026Anchor3DGS: Feed-Forward 3D Gaussian Splatting with Compact Anchor-Based Representation
4. NeurIPS 2026AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion
5. NeurIPS 2026Approximation in Contrastive Representation Learning
6. NeurIPS 2026Biological Graph Priors Enable Representation Learning for Cellular Microscopy
7. NeurIPS 2026Boosting Graph Contrastive Learning via Manifold-Guided Representation Disentanglement
8. NeurIPS 2026Class–Domain Discriminability Guided Representation Enhancement for Domain Generalization
9. NeurIPS 2026Closed-Form Implicit Neural Representations
10. NeurIPS 2026Contrastive Representation Shaping for LLM Unlearning
11. NeurIPS 2026CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
12. NeurIPS 2026Deadline-Constrained Dynamic Workflow Scheduling Can be Cast as a Representation Learning Problem
13. NeurIPS 2026Decentralized Coupled Representation Learning
14. NeurIPS 2026DiffRisk: Diffusion Representation Learning with Informative Missingness for Health Risk Prediction
15. NeurIPS 2026Disentangled Representation Learning via Flow Matching
16. NeurIPS 2026dRAE: Representation Autoencoder with Hyper-Spherical Codes
17. NeurIPS 2026Dynamic Representation Modeling for Federated Medical Image Domain Generalization
18. NeurIPS 2026Energy-Adaptive Equivariant State Space Models for Noise-Robust Protein Structure Representation
19. NeurIPS 2026Escaping Parameter Space: Tight Generalization Bounds via Representation Quality
20. NeurIPS 2026Finding Koopman Invariant Subspaces via Personalized PageRank
21. NeurIPS 2026FuncFormer: Circuit Representation Learning via the Flow of Functional Propagation
22. NeurIPS 2026GaitLingo: Self-Supervised Gait Representation Learning with Language Priors
23. NeurIPS 2026GEM: A Dual-Scale Architecture for Graph-Level Hierarchical Representation Learning
24. NeurIPS 2026Geometry-Aware Self-Supervised Electrophysiology Representation Learning
25. NeurIPS 2026GIFT: Representation Geometry Matters for Single-Domain Generalized Object Detection
26. NeurIPS 2026Hadamard Representation: Scaffolding Performance Across Model-free RL
27. NeurIPS 2026Harder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMs
28. NeurIPS 2026Hierarchical Graph Representation Learning with Pooling-Induced Substructures
29. NeurIPS 2026HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models
30. NeurIPS 2026How Do Language Models Compose Functions?
31. NeurIPS 2026Hypergraph Representation Learning with Hyperlink Random Effects
32. NeurIPS 2026Intrinsic Information Theoretic Analysis of ReLU Nets
33. NeurIPS 2026Is a Linear Probe Evidence of a Linear Representation?
34. NeurIPS 2026KINDER: Kernel-based Independence for Fair Representation Learning via Prototype-space Erasure
35. NeurIPS 2026Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis
36. NeurIPS 2026LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift
37. NeurIPS 2026MCM-DM: Towards Better Spatio-Temporal Event Representation Learning via Discrete Morse Theory
38. NeurIPS 2026Mind the Heads: Topological Representation Alignment for Multimodal LLMs
39. NeurIPS 2026MinSteer: Minimal-Pair Steering via Two-Stage Cached Continuation
40. NeurIPS 2026MIRAGE: Duality-Inspired MILP Augmentation for Representation Learning
41. NeurIPS 2026MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data
42. NeurIPS 2026Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
43. NeurIPS 2026NIKA: Efficient Neural Video Representation via Structured Latent Diversity
44. NeurIPS 2026NOCE-Net: Representation Learning for Battery Operational Context via Nested Sequence Modelling
45. NeurIPS 2026One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization
46. NeurIPS 2026Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
47. NeurIPS 2026Predictive Representation Learning for Partially Observed Neural Dynamics
48. NeurIPS 2026Primal-Dual Representation Learning for Low-Rank Constrained MDPs
49. NeurIPS 2026Provably Efficient Representation Learning for Low-Rank CMDPs
50. NeurIPS 2026Representation Forcing for Bottleneck-Free Unified Multimodal Models

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。