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

4,314 papers, page 49 of 87

2401. CVPR 2024MMM: Generative Masked Motion Model
2402. CVPR 2024Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
2403. CVPR 2024MoMask: Generative Masked Modeling of 3D Human Motions
2404. CVPR 2024Mosaic-SDF for 3D Generative Models
2405. CVPR 2024NeRFiller: Completing Scenes via Generative 3D Inpainting
2406. CVPR 2024Neural Implicit Morphing of Face Images
2407. CVPR 2024OmniViD: A Generative Framework for Universal Video Understanding
2408. CVPR 2024On Exact Inversion of DPM-Solvers
2409. CVPR 2024Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
2410. CVPR 2024OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
2411. CVPR 2024Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata
2412. CVPR 2024Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
2413. CVPR 2024PEGASUS: Personalized Generative 3D Avatars with Composable Attributes
2414. CVPR 2024PFStorer: Personalized Face Restoration and Super-Resolution
2415. CVPR 2024PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
2416. CVPR 2024PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding
2417. CVPR 2024Purified and Unified Steganographic Network
2418. CVPR 2024Relation Rectification in Diffusion Model
2419. CVPR 2024Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
2420. CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
2421. CVPR 2024SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
2422. CVPR 2024Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
2423. CVPR 2024ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
2424. CVPR 2024Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
2425. CVPR 2024Tactile-Augmented Radiance Fields
2426. CVPR 2024Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
2427. CVPR 2024Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
2428. CVPR 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
2429. CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
2430. CVPR 2024VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
2431. CVPR 2024VBench: Comprehensive Benchmark Suite for Video Generative Models
2432. CVPR 2024VideoMAC: Video Masked Autoencoders Meet ConvNets
2433. CVPR 2024Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
2434. CVPR 2024Wired Perspectives: Multi-View Wire Art Embraces Generative AI
2435. CVPR 2024Would Deep Generative Models Amplify Bias in Future Models?
2436. CVPR 2024XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
2437. ICLR 2024$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
2438. ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
2439. ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
2440. ICLR 2024A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
2441. ICLR 2024A Simple and Scalable Representation for Graph Generation
2442. ICLR 2024A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
2443. ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
2444. ICLR 2024AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
2445. ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
2446. ICLR 2024Amortizing intractable inference in large language models
2447. ICLR 2024Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
2448. ICLR 2024Analyzing and Improving Optimal-Transport-based Adversarial Networks
2449. ICLR 2024Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
2450. ICLR 2024Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

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.