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

466 papers, page 1 of 10

1. CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
2. CVPR 2026A Difference-in-Difference Approach to Detecting AI-Generated Images
3. CVPR 2026A Frame is Worth One Token Efficient Generative World Modeling
4. CVPR 2026Accelerating Diffusion Model Training under Minimal Budgets A Condensation-Based Perspective
5. CVPR 2026Affostruction 3D Affordance Grounding with Generative Reconstruction
6. CVPR 2026Align Images Before You Generate
7. CVPR 2026Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
8. CVPR 2026Attention May I Have Your Decision Localizing Generative Choices in
9. CVPR 2026Back to Basics Let Denoising Generative Models Denoise
10. CVPR 2026Beyond Euclidean Gossip KL-Barycentric Consensus on Heterogeneous and Imbalanced Images
11. CVPR 2026Bidirectional Normalizing Flow From Data to Noise and Back
12. CVPR 2026Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing
13. CVPR 2026BrickNet Graph-Backed Generative Brick Assembly
14. CVPR 2026Bridging Facial Understanding and Animation via Language Models
15. CVPR 2026Bringing Your Portrait to 3D Presence
16. CVPR 2026C2FG Control Classifier-Free Guidance via Score Discrepancy Analysis
17. CVPR 2026CADC Content Adaptive Diffusion-Based Generative Image Compression
18. CVPR 2026CADFS A Big CAD Program Dataset and Framework for Computer-Aided
19. CVPR 2026Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range
20. CVPR 2026CGHair Compact Gaussian Hair Reconstruction with Card Clustering
21. CVPR 2026ChArtist Generating Pictorial Charts with Unified Spatial and Subject Control
22. CVPR 2026Choreographing a World of Dynamic Objects
23. CVPR 2026Circular-DPO Aligning Multi-Stage 3D Generative Models via Preference Feedback Loop
24. CVPR 2026Cloning Deterministic Worlds The Critical Role of Latent Geometry in
25. CVPR 2026CraftMesh High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion
26. CVPR 2026cryoSENSE Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative
27. CVPR 2026CUPID Generative 3D Reconstruction via Joint Object and Pose Modeling
28. CVPR 2026Decoupled Generative Modeling for Human-Object Interaction Synthesis
29. CVPR 2026DeepProtect Proactive Face-Swapping Defense using Identity Blending and Attribute Distortion
30. CVPR 2026Diff-SemiER Transparency-Aware Adaptive Fusion Diffusion Model with Generative Prior for
31. CVPR 2026Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
32. CVPR 2026Diffusion Mental Averages
33. CVPR 2026DiT-Distill Open-Set Fine-Grained Retrieval via Generative Curriculum Knowledge
34. CVPR 2026DTG-Restore Training-Free Diffusion Refinement for Generative Video Super-Resolution
35. CVPR 2026DualPrim Compact 3D Reconstruction with Positive and Negative Primitives
36. CVPR 2026E-comIQ-ZH A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of
37. CVPR 2026EditCtrl Disentangled Local and Global Control for Real-Time Generative Video
38. CVPR 2026EditMGT Unleashing Potentials of Masked Generative Transformers in Image Editing
39. CVPR 2026Efficient Weighted Sampling via Score-based Generative Models
40. CVPR 2026Ego-InBetween Generating Object State Transitions in Ego-Centric Videos
41. CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
42. CVPR 2026ERMoE Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
43. CVPR 2026Event-based Motion Deblurring with Unpaired Data
44. CVPR 2026EVLF Early Vision-Language Fusion for Generative Dataset Distillation
45. CVPR 2026Expand and Prune Maximizing Trajectory Diversity for Effective GRPO in
46. CVPR 2026Exploring Spatial Intelligence from a Generative Perspective
47. CVPR 2026ExpoCM Exposure-Aware One-Step Generative Single-Image HDR Reconstruction
48. CVPR 2026FARMER Flow AutoRegressive Transformer over Pixels
49. CVPR 2026Flow Matching for Multimodal Distributions
50. CVPR 2026From 2D Alignment to 3D Plausibility Unifying Heterogeneous 2D Priors

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.