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

768 papers, page 11 of 16

501. NeurIPS 2024DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
502. NeurIPS 2024DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
503. NeurIPS 2024Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
504. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
505. NeurIPS 2024Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
506. NeurIPS 2024EM Distillation for One-step Diffusion Models
507. NeurIPS 2024Embedding-Aligned Language Models
508. NeurIPS 2024ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis
509. NeurIPS 2024Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
510. NeurIPS 2024Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
511. NeurIPS 2024Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
512. NeurIPS 2024EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
513. NeurIPS 2024Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
514. NeurIPS 2024Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention
515. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
516. NeurIPS 2024Evaluating the design space of diffusion-based generative models
517. NeurIPS 2024Evaluating the World Model Implicit in a Generative Model
518. NeurIPS 2024Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
519. NeurIPS 2024Exocentric-to-Egocentric Video Generation
520. NeurIPS 2024Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
521. NeurIPS 2024Exploring DCN-like architecture for fast image generation with arbitrary resolution
522. NeurIPS 2024Extending Video Masked Autoencoders to 128 frames
523. NeurIPS 2024FactorSim: Generative Simulation via Factorized Representation
524. NeurIPS 2024Fast Best-of-N Decoding via Speculative Rejection
525. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
526. NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
527. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
528. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
529. NeurIPS 2024Few-Shot Task Learning through Inverse Generative Modeling
530. NeurIPS 2024FINALLY: fast and universal speech enhancement with studio-like quality
531. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
532. NeurIPS 2024FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
533. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
534. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
535. NeurIPS 2024FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
536. NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
537. NeurIPS 2024FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
538. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
539. NeurIPS 2024GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
540. NeurIPS 2024GAVEL: Generating Games via Evolution and Language Models
541. NeurIPS 2024GenAI Arena: An Open Evaluation Platform for Generative Models
542. NeurIPS 2024GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing
543. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
544. NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
545. NeurIPS 2024Generative Adversarial Model-Based Optimization via Source Critic Regularization
546. NeurIPS 2024Generative Forests
547. NeurIPS 2024Generative Fractional Diffusion Models
548. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
549. NeurIPS 2024Generative Retrieval Meets Multi-Graded Relevance
550. NeurIPS 2024Generative Semi-supervised Graph Anomaly Detection

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.