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 275 篇，第 3 / 6 页

101. ICLR 2025Generating Graphs via Spectral Diffusion
102. ICLR 2025Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
103. ICLR 2025Generative Classifiers Avoid Shortcut Solutions
104. ICLR 2025Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
105. ICLR 2025Generative Monoculture in Large Language Models
106. ICLR 2025Generative Representational Instruction Tuning
107. ICLR 2025Generative Verifiers: Reward Modeling as Next-Token Prediction
108. ICLR 2025Generator Matching: Generative modeling with arbitrary Markov processes
109. ICLR 2025GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling
110. ICLR 2025GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
111. ICLR 2025GenXD: Generating Any 3D and 4D Scenes
112. ICLR 2025Geometry of Lightning Self-Attention: Identifiability and Dimension
113. ICLR 2025Glauber Generative Model: Discrete Diffusion Models via Binary Classification
114. ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
115. ICLR 2025GMValuator: Similarity-based Data Valuation for Generative Models
116. ICLR 2025GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
117. ICLR 2025GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
118. ICLR 2025GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
119. ICLR 2025GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
120. ICLR 2025HaDeMiF: Hallucination Detection and Mitigation in Large Language Models
121. ICLR 2025Halton Scheduler for Masked Generative Image Transformer
122. ICLR 2025HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
123. ICLR 2025Heavy-Tailed Diffusion Models
124. ICLR 2025Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models
125. ICLR 2025HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
126. ICLR 2025HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
127. ICLR 2025Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
128. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
129. ICLR 2025High-Quality Joint Image and Video Tokenization with Causal VAE
130. ICLR 2025High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers.
131. ICLR 2025Holistically Evaluating the Environmental Impact of Creating Language Models
132. ICLR 2025How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
133. ICLR 2025How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
134. ICLR 2025Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
135. ICLR 2025IgGM: A Generative Model for Functional Antibody and Nanobody Design
136. ICLR 2025Improved Convergence Rate for Diffusion Probabilistic Models
137. ICLR 2025Improved Diffusion-based Generative Model with Better Adversarial Robustness
138. ICLR 2025Improved Training Technique for Latent Consistency Models
139. ICLR 2025Improving Equivariant Networks with Probabilistic Symmetry Breaking
140. ICLR 2025Improving Neural Optimal Transport via Displacement Interpolation
141. ICLR 2025Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
142. ICLR 2025InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
143. ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
144. ICLR 2025JetFormer: An autoregressive generative model of raw images and text
145. ICLR 2025Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
146. ICLR 2025LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
147. ICLR 2025LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
148. ICLR 2025Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
149. ICLR 2025Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
150. ICLR 2025Linear combinations of latents in generative models: subspaces and beyond

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。