深度学习 · generative models and autoencoders论文趋势 2023–2026

主要结论

• 深度学习 · generative models and autoencoders论文从 2023 年的 1,216 篇增长到 2026 年的 1,430 篇，三年间扩大到约 1.2 倍。
• NeurIPS 是发深度学习 · generative models and autoencoders论文最多的会议，2023–2026 年共 1,714 篇，占四个会议总量的 40%。
• 交叉方向里涨得最快的是图像生成：同时属于两个主题的论文从 2023 年的 35 篇增至 2026 年的 150 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 2；同组增长最快的扩散模型是 4.1 倍，深度学习 · generative models and autoencoders是 1.2 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 2026A Critical $\beta$-Scale for Posterior Collapse in Dirichlet $\beta$-VAEs
• ICML 2026(1D) Ordered Tokens Enable Efficient Test-Time Search
• ICLR 2026``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
• CVPR 2026Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
• NeurIPS 2025Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
• ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
• ICLR 2025A Watermark for Order-Agnostic Language Models
• CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
• NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
• ICML 2024A Fixed-Point Approach for Causal Generative Modeling
• ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
• ICLR 2023Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
• CVPR 20233D GAN Inversion With Facial Symmetry Prior
• NeurIPS 2026Action-On-Item Preference Flow: A Shared Event Schema for Predictive and Generative Personalization
• ICML 2026$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
• ICLR 2026Analyzing and Evaluating Unbiased Language Model Watermark
• CVPR 2026Bidirectional Normalizing Flow From Data to Noise and Back

全部深度学习 · generative models and autoencoders论文

共 174 篇，第 2 / 4 页

51. ICLR 2024Expected flow networks in stochastic environments and two-player zero-sum games
52. ICLR 2024Exploring Target Representations for Masked Autoencoders
53. ICLR 2024Fusing Models with Complementary Expertise
54. ICLR 2024G$^2$N$^2$ : Weisfeiler and Lehman go grammatical
55. ICLR 2024Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
56. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
57. ICLR 2024GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
58. ICLR 2024GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
59. ICLR 2024Generalized Schrödinger Bridge Matching
60. ICLR 2024Generating Images with 3D Annotations Using Diffusion Models
61. ICLR 2024Generative Adversarial Equilibrium Solvers
62. ICLR 2024Generative Human Motion Stylization in Latent Space
63. ICLR 2024Generative Judge for Evaluating Alignment
64. ICLR 2024Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns
65. ICLR 2024Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
66. ICLR 2024Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
67. ICLR 2024Generative Modeling with Phase Stochastic Bridge
68. ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
69. ICLR 2024GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
70. ICLR 2024Ghost on the Shell: An Expressive Representation of General 3D Shapes
71. ICLR 2024Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
72. ICLR 2024H-GAP: Humanoid Control with a Generalist Planner
73. ICLR 2024HiGen: Hierarchical Graph Generative Networks
74. ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
75. ICLR 2024How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
76. ICLR 2024Human Motion Diffusion as a Generative Prior
77. ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
78. ICLR 2024HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
79. ICLR 2024Idempotence and Perceptual Image Compression
80. ICLR 2024Idempotent Generative Network
81. ICLR 2024Improved sampling via learned diffusions
82. ICLR 2024Improved Techniques for Training Consistency Models
83. ICLR 2024In-Context Learning Learns Label Relationships but Is Not Conventional Learning
84. ICLR 2024InfoCon: Concept Discovery with Generative and Discriminative Informativeness
85. ICLR 2024Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
86. ICLR 2024Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
87. ICLR 2024InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
88. ICLR 2024JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
89. ICLR 2024Label-Noise Robust Diffusion Models
90. ICLR 2024Language Model Cascades: Token-Level Uncertainty And Beyond
91. ICLR 2024Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
92. ICLR 2024Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
93. ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
94. ICLR 2024Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
95. ICLR 2024Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
96. ICLR 2024Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
97. ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
98. ICLR 2024Lifting Architectural Constraints of Injective Flows
99. ICLR 2024Light Schrödinger Bridge
100. ICLR 2024Lipschitz Singularities in Diffusion Models

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · generative models and autoencoders论文？

共 4,314 篇，按年份分别是 2023 年 1,216 篇、2024 年 768 篇、2025 年 900 篇、2026 年 1,430 篇。

NeurIPS 2026 有多少篇深度学习 · generative models and autoencoders论文？

NeurIPS 2026 有 349 篇深度学习 · generative models and autoencoders论文，上一届是 240 篇。

ICLR 2026 有多少篇深度学习 · generative models and autoencoders论文？

ICLR 2026 有 303 篇深度学习 · generative models and autoencoders论文，上一届是 275 篇。

ICML 2026 有多少篇深度学习 · generative models and autoencoders论文？

ICML 2026 有 604 篇深度学习 · generative models and autoencoders论文，上一届是 275 篇。

CVPR 2026 有多少篇深度学习 · generative models and autoencoders论文？

CVPR 2026 有 174 篇深度学习 · generative models and autoencoders论文，上一届是 110 篇。

哪个会议的深度学习 · generative models and autoencoders论文最多？

NeurIPS，2023–2026 年共 1,714 篇。