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 2 of 16

51. CVPR 2024Generative Quanta Color Imaging
52. CVPR 2024Generative Region-Language Pretraining for Open-Ended Object Detection
53. CVPR 2024Generative Unlearning for Any Identity
54. CVPR 2024GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
55. CVPR 2024GenN2N: Generative NeRF2NeRF Translation
56. CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
57. CVPR 2024GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
58. CVPR 2024High-Quality Facial Geometry and Appearance Capture at Home
59. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
60. CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
61. CVPR 2024Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
62. CVPR 2024Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
63. CVPR 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
64. CVPR 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
65. CVPR 2024Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
66. CVPR 2024Learning Large-Factor EM Image Super-Resolution with Generative Priors
67. CVPR 2024ManiFPT: Defining and Analyzing Fingerprints of Generative Models
68. CVPR 2024Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
69. CVPR 2024MaskPLAN: Masked Generative Layout Planning from Partial Input
70. CVPR 2024Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
71. CVPR 2024MMM: Generative Masked Motion Model
72. CVPR 2024Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
73. CVPR 2024MoMask: Generative Masked Modeling of 3D Human Motions
74. CVPR 2024Mosaic-SDF for 3D Generative Models
75. CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
76. CVPR 2024Neural Implicit Morphing of Face Images
77. CVPR 2024OmniViD: A Generative Framework for Universal Video Understanding
78. CVPR 2024On Exact Inversion of DPM-Solvers
79. CVPR 2024Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
80. CVPR 2024OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
81. CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
82. CVPR 2024Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
83. CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
84. CVPR 2024PFStorer: Personalized Face Restoration and Super-Resolution
85. CVPR 2024PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
86. CVPR 2024PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
87. CVPR 2024Purified and Unified Steganographic Network
88. CVPR 2024Relation Rectification in Diffusion Model
89. CVPR 2024Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
90. CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
91. CVPR 2024SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
92. CVPR 2024Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
93. CVPR 2024ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
94. CVPR 2024Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
95. CVPR 2024Tactile-Augmented Radiance Fields
96. CVPR 2024Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
97. CVPR 2024Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
98. CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
99. CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
100. CVPR 2024VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative 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.