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 349 篇，第 3 / 7 页

101. NeurIPS 2024Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
102. NeurIPS 2024Exploring DCN-like architecture for fast image generation with arbitrary resolution
103. NeurIPS 2024Extending Video Masked Autoencoders to 128 frames
104. NeurIPS 2024FactorSim: Generative Simulation via Factorized Representation
105. NeurIPS 2024Fast Best-of-N Decoding via Speculative Rejection
106. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
107. NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
108. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
109. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
110. NeurIPS 2024Few-Shot Task Learning through Inverse Generative Modeling
111. NeurIPS 2024FINALLY: fast and universal speech enhancement with studio-like quality
112. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
113. NeurIPS 2024FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
114. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
115. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
116. NeurIPS 2024FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
117. NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
118. NeurIPS 2024FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
119. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
120. NeurIPS 2024GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
121. NeurIPS 2024GAVEL: Generating Games via Evolution and Language Models
122. NeurIPS 2024GenAI Arena: An Open Evaluation Platform for Generative Models
123. NeurIPS 2024GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
124. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
125. NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
126. NeurIPS 2024Generative Adversarial Model-Based Optimization via Source Critic Regularization
127. NeurIPS 2024Generative Forests
128. NeurIPS 2024Generative Fractional Diffusion Models
129. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
130. NeurIPS 2024Generative Retrieval Meets Multi-Graded Relevance
131. NeurIPS 2024Generative Semi-supervised Graph Anomaly Detection
132. NeurIPS 2024Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
133. NeurIPS 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
134. NeurIPS 2024GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
135. NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
136. NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
137. NeurIPS 2024Graph Diffusion Policy Optimization
138. NeurIPS 2024Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
139. NeurIPS 2024Grounding Multimodal Large Language Models in Actions
140. NeurIPS 2024Group Robust Preference Optimization in Reward-free RLHF
141. NeurIPS 2024GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
142. NeurIPS 2024GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
143. NeurIPS 2024GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
144. NeurIPS 2024Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
145. NeurIPS 2024HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
146. NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
147. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
148. NeurIPS 2024Harmonizing Visual Text Comprehension and Generation
149. NeurIPS 2024HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
150. NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model

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。