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

830 papers, page 13 of 17

601. ICLR 2024Compositional Generative Inverse Design
602. ICLR 2024Concept Bottleneck Generative Models
603. ICLR 2024Conditional Variational Diffusion Models
604. ICLR 2024Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
605. ICLR 2024Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
606. ICLR 2024Course Correcting Koopman Representations
607. ICLR 2024DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
608. ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
609. ICLR 2024Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
610. ICLR 2024Delta-AI: Local objectives for amortized inference in sparse graphical models
611. ICLR 2024Demystifying Embedding Spaces using Large Language Models
612. ICLR 2024DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
613. ICLR 2024Denoising Diffusion Bridge Models
614. ICLR 2024Denoising Diffusion Step-aware Models
615. ICLR 2024Detecting, Explaining, and Mitigating Memorization in Diffusion Models
616. ICLR 2024Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
617. ICLR 2024Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
618. ICLR 2024DiffusionSat: A Generative Foundation Model for Satellite Imagery
619. ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
620. ICLR 2024Divide and not forget: Ensemble of selectively trained experts in Continual Learning
621. ICLR 2024Don't Play Favorites: Minority Guidance for Diffusion Models
622. ICLR 2024DreamLLM: Synergistic Multimodal Comprehension and Creation
623. ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
624. ICLR 2024Efficient Integrators for Diffusion Generative Models
625. ICLR 2024Elucidating the Exposure Bias in Diffusion Models
626. ICLR 2024Emu: Generative Pretraining in Multimodality
627. ICLR 2024Energy-guided Entropic Neural Optimal Transport
628. ICLR 2024Entropy Coding of Unordered Data Structures
629. ICLR 2024Expected flow networks in stochastic environments and two-player zero-sum games
630. ICLR 2024Exploring Target Representations for Masked Autoencoders
631. ICLR 2024Fusing Models with Complementary Expertise
632. ICLR 2024G$^2$N$^2$ : Weisfeiler and Lehman go grammatical
633. ICLR 2024Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
634. ICLR 2024Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
635. ICLR 2024GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
636. ICLR 2024GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
637. ICLR 2024Generalized Schrödinger Bridge Matching
638. ICLR 2024Generating Images with 3D Annotations Using Diffusion Models
639. ICLR 2024Generative Adversarial Equilibrium Solvers
640. ICLR 2024Generative Human Motion Stylization in Latent Space
641. ICLR 2024Generative Judge for Evaluating Alignment
642. ICLR 2024Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns
643. ICLR 2024Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
644. ICLR 2024Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
645. ICLR 2024Generative Modeling with Phase Stochastic Bridge
646. ICLR 2024Generative Sliced MMD Flows with Riesz Kernels
647. ICLR 2024GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
648. ICLR 2024Ghost on the Shell: An Expressive Representation of General 3D Shapes
649. ICLR 2024Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
650. ICLR 2024H-GAP: Humanoid Control with a Generalist Planner

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.