Deep learning · generative models and autoencoders papers, 2023–2026

Key findings

• Deep learning · generative models and autoencoders went from 1,216 papers in 2023 to 1,430 in 2026, roughly 1.2x in three years.
• NeurIPS publishes the most Deep learning · generative models and autoencoders work: 1,714 papers from 2023 to 2026, 40% of the four-venue total.
• The fastest-growing overlap is with Image Generation: papers tagged with both rose from 35 in 2023 to 150 in 2026.
• Among the 11 topics under Deep Learning, it ranks #2 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Deep learning · generative models and autoencoders papers

4,314 papers, page 44 of 87

2151. NeurIPS 2025Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport
2152. NeurIPS 2025Efficient Multimodal Dataset Distillation via Generative Models
2153. NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
2154. NeurIPS 2025Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
2155. NeurIPS 2025Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
2156. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
2157. NeurIPS 2025Entropy Rectifying Guidance for Diffusion and Flow Models
2158. NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
2159. NeurIPS 2025Fine-grained List-wise Alignment for Generative Medication Recommendation
2160. NeurIPS 2025Flash Invariant Point Attention
2161. NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
2162. NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
2163. NeurIPS 2025FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
2164. NeurIPS 2025Fractional Diffusion Bridge Models
2165. NeurIPS 2025From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
2166. NeurIPS 2025From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
2167. NeurIPS 2025FuncGenFoil: Airfoil Generation and Editing Model in Function Space
2168. NeurIPS 2025GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
2169. NeurIPS 2025GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
2170. NeurIPS 2025Generating Creative Chess Puzzles
2171. NeurIPS 2025Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
2172. NeurIPS 2025Generating Physically Sound Designs from Text and a Set of Physical Constraints
2173. NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
2174. NeurIPS 2025Generative Caching for Structurally Similar Prompts and Responses
2175. NeurIPS 2025Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
2176. NeurIPS 2025Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
2177. NeurIPS 2025Generative Distribution Embeddings
2178. NeurIPS 2025Generative Graph Pattern Machine
2179. NeurIPS 2025Generative Model Inversion Through the Lens of the Manifold Hypothesis
2180. NeurIPS 2025Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
2181. NeurIPS 2025Generative Perception of Shape and Material from Differential Motion
2182. NeurIPS 2025Generative Pre-trained Autoregressive Diffusion Transformer
2183. NeurIPS 2025Generative Trajectory Stitching through Diffusion Composition
2184. NeurIPS 2025GenIR: Generative Visual Feedback for Mental Image Retrieval
2185. NeurIPS 2025GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
2186. NeurIPS 2025Gradient Variance Reveals Failure Modes in Flow-Based Generative Models
2187. NeurIPS 2025Graph Diffusion that can Insert and Delete
2188. NeurIPS 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
2189. NeurIPS 2025High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
2190. NeurIPS 2025High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
2191. NeurIPS 2025HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing
2192. NeurIPS 2025How many measurements are enough? Bayesian recovery in inverse problems with general distributions
2193. NeurIPS 2025Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
2194. NeurIPS 2025Image Super-Resolution with Guarantees via Conformalized Generative Models
2195. NeurIPS 2025Implicit Generative Property Enhancer
2196. NeurIPS 2025Improved Training Technique for Shortcut Models
2197. NeurIPS 2025Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
2198. NeurIPS 2025Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
2199. NeurIPS 2025In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
2200. NeurIPS 2025Inference with correlated priors using sisters cells

FAQ

How many Deep learning · generative models and autoencoders papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

4,314 in total: 1,216 in 2023, 768 in 2024, 900 in 2025, 1,430 in 2026.

How many Deep learning · generative models and autoencoders papers are at NeurIPS 2026?

NeurIPS 2026 has 349 Deep learning · generative models and autoencoders papers, versus 240 the year before.

How many Deep learning · generative models and autoencoders papers are at ICLR 2026?

ICLR 2026 has 303 Deep learning · generative models and autoencoders papers, versus 275 the year before.

How many Deep learning · generative models and autoencoders papers are at ICML 2026?

ICML 2026 has 604 Deep learning · generative models and autoencoders papers, versus 275 the year before.

How many Deep learning · generative models and autoencoders papers are at CVPR 2026?

CVPR 2026 has 174 Deep learning · generative models and autoencoders papers, versus 110 the year before.

Which conference publishes the most Deep learning · generative models and autoencoders papers?

NeurIPS, with 1,714 papers from 2023 to 2026.