Deep learning · generative models and autoencoders papers, 2023–2026
Deep learning area: generative_models_and_autoencoders
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 4,314 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 776 | 78 | 286 | 76 | 1,216 |
| 2024 | 349 | 174 | 139 | 106 | 768 |
| 2025 | 240 | 275 | 275 | 110 | 900 |
| 2026 | 349 | 303 | 604 | 174 | 1,430 |
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 6 of 10
- CVPR 2025OSDFace: One-Step Diffusion Model for Face Restoration
- CVPR 2025ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
- CVPR 2025PERSE: Personalized 3D Generative Avatars from A Single Portrait
- CVPR 2025Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
- CVPR 2025PhysAnimator: Physics-Guided Generative Cartoon Animation
- CVPR 2025PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
- CVPR 2025POMP: Physics-consistent Motion Generative Model through Phase Manifolds
- CVPR 2025PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing
- CVPR 2025Revisiting Generative Replay for Class Incremental Object Detection
- CVPR 2025RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
- CVPR 2025RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
- CVPR 2025SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model
- CVPR 2025Segment Any-Quality Images with Generative Latent Space Enhancement
- CVPR 2025SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
- CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
- CVPR 2025Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model
- CVPR 2025Symbolic Representation for Any-to-Any Generative Tasks
- CVPR 2025Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
- CVPR 2025Tiled Diffusion
- CVPR 2025Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency
- CVPR 2025Towards Smart Point-and-Shoot Photography
- CVPR 2025Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
- CVPR 2025Traversing Distortion-Perception Tradeoff using a Single Score-Based Generative Model
- CVPR 2025UnCommon Objects in 3D
- CVPR 2025Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion
- CVPR 2025UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
- CVPR 2025Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
- CVPR 2025VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative Priors
- CVPR 2025VidTwin: Video VAE with Decoupled Structure and Dynamics
- CVPR 2025VinaBench: Benchmark for Faithful and Consistent Visual Narratives
- CVPR 2025VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
- CVPR 2025VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
- CVPR 2025Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
- CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
- CVPR 20243D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
- CVPR 2024A Generative Approach for Wikipedia-Scale Visual Entity Recognition
- CVPR 2024AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
- CVPR 2024An Edit Friendly DDPM Noise Space: Inversion and Manipulations
- CVPR 2024Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
- CVPR 2024ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
- CVPR 2024Boosting Flow-based Generative Super-Resolution Models via Learned Prior
- CVPR 2024Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
- CVPR 2024CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
- CVPR 2024CityDreamer: Compositional Generative Model of Unbounded 3D Cities
- CVPR 2024Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
- CVPR 2024CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training
- CVPR 2024Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
- CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
- CVPR 2024Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
- CVPR 2024DeepCache: Accelerating Diffusion Models for Free
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316
- Deep learning · transfer learning 197