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 9 of 10

401. CVPR 2023DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion
402. CVPR 2023Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
403. CVPR 2023DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis
404. CVPR 2023DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
405. CVPR 2023Dynamic Generative Targeted Attacks With Pattern Injection
406. CVPR 2023Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck
407. CVPR 2023Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces
408. CVPR 2023FaceLit: Neural 3D Relightable Faces
409. CVPR 2023FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
410. CVPR 2023FlowGrad: Controlling the Output of Generative ODEs With Gradients
411. CVPR 2023GaitGCI: Generative Counterfactual Intervention for Gait Recognition
412. CVPR 2023GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
413. CVPR 2023GANHead: Towards Generative Animatable Neural Head Avatars
414. CVPR 2023GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
415. CVPR 2023Generalizing Dataset Distillation via Deep Generative Prior
416. CVPR 2023Generative Bias for Robust Visual Question Answering
417. CVPR 2023Generative Diffusion Prior for Unified Image Restoration and Enhancement
418. CVPR 2023Generative Semantic Segmentation
419. CVPR 2023Generic-to-Specific Distillation of Masked Autoencoders
420. CVPR 2023High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors
421. CVPR 2023HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images
422. CVPR 2023How to Backdoor Diffusion Models?
423. CVPR 2023Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
424. CVPR 2023IS-GGT: Iterative Scene Graph Generation With Generative Transformers
425. CVPR 2023Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
426. CVPR 2023Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
427. CVPR 2023Learning Generative Structure Prior for Blind Text Image Super-Resolution
428. CVPR 2023Learning Locally Editable Virtual Humans
429. CVPR 2023Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
430. CVPR 2023LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
431. CVPR 2023MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis
432. CVPR 2023MAGVIT: Masked Generative Video Transformer
433. CVPR 2023MAGVLT: Masked Generative Vision-and-Language Transformer
434. CVPR 2023Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond
435. CVPR 2023Masked Autoencoders Enable Efficient Knowledge Distillers
436. CVPR 2023MEGANE: Morphable Eyeglass and Avatar Network
437. CVPR 2023Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
438. CVPR 2023Objaverse: A Universe of Annotated 3D Objects
439. CVPR 2023ObjectStitch: Object Compositing With Diffusion Model
440. CVPR 2023On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
441. CVPR 2023Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
442. CVPR 2023Persistent Nature: A Generative Model of Unbounded 3D Worlds
443. CVPR 2023PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
444. CVPR 2023Reliable and Interpretable Personalized Federated Learning
445. CVPR 2023Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
446. CVPR 2023Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
447. CVPR 2023Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
448. CVPR 2023RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models
449. CVPR 2023RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
450. CVPR 2023SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text

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.