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 6 of 87

251. ICLR 2026Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
252. ICLR 2026Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
253. ICLR 2026ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
254. ICLR 2026Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
255. ICLR 2026Evaluating GFlowNet from partial episodes for stable and flexible policy-based training
256. ICLR 2026Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models
257. ICLR 2026FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction
258. ICLR 2026FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning
259. ICLR 2026FAST‑DIPS: Adjoint‑Free Analytic Steps and Hard‑Constrained Likelihood Correction for Diffusion‑Prior Inverse Problems
260. ICLR 2026FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference
261. ICLR 2026FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
262. ICLR 2026Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
263. ICLR 2026FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion
264. ICLR 2026Flow Autoencoders are Effective Protein Tokenizers
265. ICLR 2026Flow Matching with Semidiscrete Couplings
266. ICLR 2026Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
267. ICLR 2026Flow Straight and Fast in Hilbert Space: Functional Rectified Flow
268. ICLR 2026FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
269. ICLR 2026FLOWER: A Flow-Matching Solver for Inverse Problems
270. ICLR 2026Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models
271. ICLR 2026Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
272. ICLR 2026Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
273. ICLR 2026Frayed RoPE and Long Inputs: A Geometric Perspective
274. ICLR 2026Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization
275. ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
276. ICLR 2026FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
277. ICLR 2026G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
278. ICLR 2026GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
279. ICLR 2026GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL
280. ICLR 2026Gauge Flow Matching: Efficient Constrained Generative Modeling over General Convex Set and Beyond
281. ICLR 2026GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
282. ICLR 2026GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning
283. ICLR 2026GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
284. ICLR 2026Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
285. ICLR 2026GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation
286. ICLR 2026GenCompositor: Generative Video Compositing with Diffusion Transformer
287. ICLR 2026GenCtrl -- A Formal Controllability Toolkit for Generative Models
288. ICLR 2026GenDR: Lighten Generative Detail Restoration
289. ICLR 2026Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
290. ICLR 2026Generalization of Diffusion Models Arises with a Balanced Representation Space
291. ICLR 2026Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
292. ICLR 2026Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
293. ICLR 2026Generative Bayesian Optimization: Generative Models as Acquisition Functions
294. ICLR 2026Generative Blocks World: Moving Things Around in Pictures
295. ICLR 2026Generative Human Geometry Distribution
296. ICLR 2026Generative Modeling from Black-Box Corruptions via Self-Consistent Stochastic Interpolants
297. ICLR 2026Generative Universal Verifier as Multimodal Meta-Reasoner
298. ICLR 2026Generative Value Conflicts Reveal LLM Priorities
299. ICLR 2026Generative View Stitching
300. ICLR 2026GenSR: Symbolic regression based on equation generative space

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.