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

1,304 papers, page 23 of 27

1101. ICML 2023Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
1102. ICML 2023DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
1103. ICML 2023DUET: 2D Structured and Approximately Equivariant Representations
1104. ICML 2023Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
1105. ICML 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizer
1106. ICML 2023Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
1107. ICML 2023Entropy-driven Unsupervised Keypoint Representation Learning in Videos
1108. ICML 2023Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
1109. ICML 2023Evidential Interactive Learning for Medical Image Captioning
1110. ICML 2023Evolving Semantic Prototype Improves Generative Zero-Shot Learning
1111. ICML 2023Exact Inference in High-order Structured Prediction
1112. ICML 2023Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
1113. ICML 2023Expected Gradients of Maxout Networks and Consequences to Parameter Initialization
1114. ICML 2023Explainable Data-Driven Optimization: From Context to Decision and Back Again
1115. ICML 2023Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
1116. ICML 2023Fair and Optimal Classification via Post-Processing
1117. ICML 2023Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
1118. ICML 2023FARE: Provably Fair Representation Learning with Practical Certificates
1119. ICML 2023FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
1120. ICML 2023FeDXL: Provable Federated Learning for Deep X-Risk Optimization
1121. ICML 2023Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
1122. ICML 2023Few-Sample Feature Selection via Feature Manifold Learning
1123. ICML 2023Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
1124. ICML 2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
1125. ICML 2023Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
1126. ICML 2023FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
1127. ICML 2023FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
1128. ICML 2023From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
1129. ICML 2023From Perception to Programs: Regularize, Overparameterize, and Amortize
1130. ICML 2023Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
1131. ICML 2023Fully Dynamic Submodular Maximization over Matroids
1132. ICML 2023Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
1133. ICML 2023Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
1134. ICML 2023Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds
1135. ICML 2023Generative Adversarial Symmetry Discovery
1136. ICML 2023Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
1137. ICML 2023Generative Decoding of Visual Stimuli
1138. ICML 2023Generative Graph Dictionary Learning
1139. ICML 2023Generative Pretraining for Black-Box Optimization
1140. ICML 2023Geometric Autoencoders - What You See is What You Decode
1141. ICML 2023GFlowOut: Dropout with Generative Flow Networks
1142. ICML 2023Go Beyond Imagination: Maximizing Episodic Reachability with World Models
1143. ICML 2023Graph Generative Model for Benchmarking Graph Neural Networks
1144. ICML 2023Graphically Structured Diffusion Models
1145. ICML 2023Grounding Language Models to Images for Multimodal Inputs and Outputs
1146. ICML 2023Guiding Pretraining in Reinforcement Learning with Large Language Models
1147. ICML 2023Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
1148. ICML 2023Hierarchical Diffusion for Offline Decision Making
1149. ICML 2023Hierarchical Imitation Learning with Vector Quantized Models
1150. ICML 2023High Fidelity Image Counterfactuals with Probabilistic Causal Models

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.