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

900 papers, page 8 of 18

351. ICLR 2025TFG-Flow: Training-free Guidance in Multimodal Generative Flow
352. ICLR 2025The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
353. ICLR 2025The Superposition of Diffusion Models Using the Itô Density Estimator
354. ICLR 2025Think while You Generate: Discrete Diffusion with Planned Denoising
355. ICLR 2025ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels
356. ICLR 2025TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
357. ICLR 2025TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
358. ICLR 2025TopoDiffusionNet: A Topology-aware Diffusion Model
359. ICLR 2025Topological Schrödinger Bridge Matching
360. ICLR 2025Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers
361. ICLR 2025Towards Hierarchical Rectified Flow
362. ICLR 2025Towards Improving Exploration through Sibling Augmented GFlowNets
363. ICLR 2025Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control
364. ICLR 2025Towards Scalable Topological Regularizers
365. ICLR 2025Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
366. ICLR 2025Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
367. ICLR 2025Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
368. ICLR 2025Training Free Exponential Context Extension via Cascading KV Cache
369. ICLR 2025Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA
370. ICLR 2025Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
371. ICLR 2025Truncated Consistency Models
372. ICLR 2025U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
373. ICLR 2025Unbounded: A Generative Infinite Game of Character Life Simulation
374. ICLR 2025Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
375. ICLR 2025UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
376. ICLR 2025Universal generalization guarantees for Wasserstein distributionally robust models
377. ICLR 2025Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
378. ICLR 2025Unlocking Point Processes through Point Set Diffusion
379. ICLR 2025Variational Search Distributions
380. ICLR 2025VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
381. ICLR 2025What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
382. ICLR 2025Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
383. ICLR 2025Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers
384. ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
385. ICLR 2025World Model on Million-Length Video And Language With Blockwise RingAttention
386. ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
387. ICML 2025A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
388. ICML 2025A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
389. ICML 2025A Theory for Conditional Generative Modeling on Multiple Data Sources
390. ICML 2025A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
391. ICML 2025A Variational Framework for Improving Naturalness in Generative Spoken Language Models
392. ICML 2025A Variational Perspective on Generative Protein Fitness Optimization
393. ICML 2025Accelerated Diffusion Models via Speculative Sampling
394. ICML 2025ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
395. ICML 2025AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
396. ICML 2025Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
397. ICML 2025An All-Atom Generative Model for Designing Protein Complexes
398. ICML 2025An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
399. ICML 2025Analytical Lyapunov Function Discovery: An RL-based Generative Approach
400. ICML 2025Analyze Feature Flow to Enhance Interpretation and Steering in Language 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.