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 7 of 10

301. CVPR 2024DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection
302. CVPR 2024DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
303. CVPR 2024DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
304. CVPR 2024Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
305. CVPR 2024Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
306. CVPR 2024Distilling ODE Solvers of Diffusion Models into Smaller Steps
307. CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
308. CVPR 2024DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
309. CVPR 2024Domain Gap Embeddings for Generative Dataset Augmentation
310. CVPR 2024Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
311. CVPR 2024DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
312. CVPR 2024EASE-DETR: Easing the Competition among Object Queries
313. CVPR 2024En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
314. CVPR 2024EscherNet: A Generative Model for Scalable View Synthesis
315. CVPR 2024F3Loc: Fusion and Filtering for Floorplan Localization
316. CVPR 2024FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
317. CVPR 2024Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
318. CVPR 2024FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation
319. CVPR 2024FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences
320. CVPR 2024Fixed Point Diffusion Models
321. CVPR 2024FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
322. CVPR 2024FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
323. CVPR 2024FREE: Faster and Better Data-Free Meta-Learning
324. CVPR 2024From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
325. CVPR 2024Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
326. CVPR 2024Functional Diffusion
327. CVPR 2024G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
328. CVPR 2024G3DR: Generative 3D Reconstruction in ImageNet
329. CVPR 2024Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
330. CVPR 2024Generative Image Dynamics
331. CVPR 2024Generative Latent Coding for Ultra-Low Bitrate Image Compression
332. CVPR 2024Generative Multi-modal Models are Good Class Incremental Learners
333. CVPR 2024Generative Multimodal Models are In-Context Learners
334. CVPR 2024Generative Powers of Ten
335. CVPR 2024Generative Quanta Color Imaging
336. CVPR 2024Generative Region-Language Pretraining for Open-Ended Object Detection
337. CVPR 2024Generative Unlearning for Any Identity
338. CVPR 2024GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
339. CVPR 2024GenN2N: Generative NeRF2NeRF Translation
340. CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
341. CVPR 2024GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors
342. CVPR 2024High-Quality Facial Geometry and Appearance Capture at Home
343. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
344. CVPR 2024IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
345. CVPR 2024Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
346. CVPR 2024Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
347. CVPR 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
348. CVPR 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection
349. CVPR 2024Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
350. CVPR 2024Learning Large-Factor EM Image Super-Resolution with Generative 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.