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 37 of 87

1801. ICLR 2025Truncated Consistency Models
1802. ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
1803. ICLR 2025Unbounded: A Generative Infinite Game of Character Life Simulation
1804. ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
1805. ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
1806. ICLR 2025Universal generalization guarantees for Wasserstein distributionally robust models
1807. ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
1808. ICLR 2025Unlocking Point Processes through Point Set Diffusion
1809. ICLR 2025Variational Search Distributions
1810. ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
1811. ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
1812. ICLR 2025Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
1813. ICLR 2025Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
1814. ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
1815. ICLR 2025World Model on Million-Length Video And Language With Blockwise RingAttention
1816. ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
1817. ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
1818. ICML 2025A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
1819. ICML 2025A Theory for Conditional Generative Modeling on Multiple Data Sources
1820. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
1821. ICML 2025A Variational Framework for Improving Naturalness in Generative Spoken Language Models
1822. ICML 2025A Variational Perspective on Generative Protein Fitness Optimization
1823. ICML 2025Accelerated Diffusion Models via Speculative Sampling
1824. ICML 2025ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
1825. ICML 2025AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
1826. ICML 2025Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
1827. ICML 2025An All-Atom Generative Model for Designing Protein Complexes
1828. ICML 2025An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
1829. ICML 2025Analytical Lyapunov Function Discovery: An RL-based Generative Approach
1830. ICML 2025Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
1831. ICML 2025Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
1832. ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
1833. ICML 2025Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
1834. ICML 2025AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
1835. ICML 2025Autoencoder-Based Hybrid Replay for Class-Incremental Learning
1836. ICML 2025AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
1837. ICML 2025Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
1838. ICML 2025Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
1839. ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
1840. ICML 2025Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
1841. ICML 2025Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning
1842. ICML 2025BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models
1843. ICML 2025Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
1844. ICML 2025Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
1845. ICML 2025CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
1846. ICML 2025Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
1847. ICML 2025Categorical Schrödinger Bridge Matching
1848. ICML 2025Censor Dependent Variational Inference
1849. ICML 2025CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
1850. ICML 2025COExpander: Adaptive Solution Expansion for Combinatorial Optimization

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.