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 466 篇，第 4 / 10 页

151. CVPR 2026SV-GS Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting
152. CVPR 2026Synthetic Object Compositions for Scalable and Accurate Learning in Detection
153. CVPR 2026TAG-MoE Task-Aware Gating for Unified Generative Mixture-of-Experts
154. CVPR 2026Taming Generative Diffusion Model for Task-Oriented Infrared Imaging
155. CVPR 2026Test-Time Instance-Specific Parameter Composition A New Paradigm for Adaptive Generative
156. CVPR 2026TGTrack Temporal Generative Learning for Unified Single Object Tracking
157. CVPR 2026Token Warping Helps MLLMs Look from Nearby Viewpoints
158. CVPR 2026Too Vivid to Be Real Benchmarking and Calibrating Generative Color
159. CVPR 2026Toward Diffusible High-Dimensional Latent Spaces A Frequency Perspective
160. CVPR 2026Towards Storytelling Animations Joint Synthesis of Human and Camera Motions
161. CVPR 2026Tracking by Predicting 3-D Gaussians Over Time
162. CVPR 2026Transition Models Rethinking the Generative Learning Objective
163. CVPR 2026TRIDENT A Trimodal Cascade Generative Framework for Drug and RNA-Conditioned
164. CVPR 2026Understanding Accelerating and Improving MeanFlow Training
165. CVPR 2026UniCorrn Unified Correspondence Transformer Across 2D and 3D
166. CVPR 2026Unified Latent Space for Understanding and Generation via Semantic Auto-encoder
167. CVPR 2026UniGenDet A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and
168. CVPR 2026UniTEX Universal High Fidelity Generative Texturing for 3D Shapes
169. CVPR 2026Velox Learning Representations of 4D Geometry and Appearance
170. CVPR 2026VideoMaMa Mask-Guided Video Matting via Generative Prior
171. CVPR 2026VOSR A Vision-Only Generative Model for Image Super-Resolution
172. CVPR 2026VQRAE Representation Quantization Autoencoders for Multimodal Understanding Generation and Reconstruction
173. CVPR 2026X-Part High Fidelity And Structure Coherent Shape Decomposition And Completion
174. CVPR 2026Your Classifier Can Do More Towards Balancing the Gaps in
175. CVPR 2025AniDoc: Animation Creation Made Easier
176. CVPR 2025Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
177. CVPR 2025Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
178. CVPR 2025Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
179. CVPR 2025Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
180. CVPR 2025Birth and Death of a Rose
181. CVPR 2025Black Hole-Driven Identity Absorbing in Diffusion Models
182. CVPR 2025BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
183. CVPR 2025CacheQuant: Comprehensively Accelerated Diffusion Models
184. CVPR 2025Camera Resection from Known Line Pencils and a Radially Distorted Scanline
185. CVPR 2025Can Generative Video Models Help Pose Estimation?
186. CVPR 2025Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes
187. CVPR 2025CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
188. CVPR 2025Color Alignment in Diffusion
189. CVPR 2025Condensing Action Segmentation Datasets via Generative Network Inversion
190. CVPR 2025Consistent and Controllable Image Animation with Motion Diffusion Models
191. CVPR 2025DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
192. CVPR 2025Decompositional Neural Scene Reconstruction with Generative Diffusion Prior
193. CVPR 2025Detecting Adversarial Data Using Perturbation Forgery
194. CVPR 2025Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
195. CVPR 2025DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
196. CVPR 2025DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
197. CVPR 2025DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
198. CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
199. CVPR 2025Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
200. CVPR 2025Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing

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。