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 30 of 87

1451. CVPR 2025DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
1452. CVPR 2025DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
1453. CVPR 2025DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction
1454. CVPR 2025DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
1455. CVPR 2025Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
1456. CVPR 2025Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
1457. CVPR 2025Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
1458. CVPR 2025EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion
1459. CVPR 2025Erasing Undesirable Influence in Diffusion Models
1460. CVPR 2025EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera
1461. CVPR 2025Exploration-Driven Generative Interactive Environments
1462. CVPR 2025Fingerprinting Denoising Diffusion Probabilistic Models
1463. CVPR 2025Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
1464. CVPR 2025From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
1465. CVPR 2025G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
1466. CVPR 2025GCC: Generative Color Constancy via Diffusing a Color Checker
1467. CVPR 2025GenAssets: Generating in-the-wild 3D Assets in Latent Space
1468. CVPR 2025Generalizable Object Keypoint Localization from Generative Priors
1469. CVPR 2025Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
1470. CVPR 2025Generative Gaussian Splatting for Unbounded 3D City Generation
1471. CVPR 2025Generative Hard Example Augmentation for Semantic Point Cloud Segmentation
1472. CVPR 2025Generative Image Layer Decomposition with Visual Effects
1473. CVPR 2025Generative Inbetweening through Frame-wise Conditions-Driven Video Generation
1474. CVPR 2025Generative Modeling of Class Probability for Multi-Modal Representation Learning
1475. CVPR 2025Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
1476. CVPR 2025Generative Multiview Relighting for 3D Reconstruction under Extreme Illumination Variation
1477. CVPR 2025Generative Omnimatte: Learning to Decompose Video into Layers
1478. CVPR 2025Generative Photography: Scene-Consistent Camera Control for Realistic Text-to-Image Synthesis
1479. CVPR 2025Generative Photomontage
1480. CVPR 2025Generative Sparse-View Gaussian Splatting
1481. CVPR 2025Generative Video Propagation
1482. CVPR 2025GENIUS: A Generative Framework for Universal Multimodal Search
1483. CVPR 2025GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors
1484. CVPR 2025GIF: Generative Inspiration for Face Recognition at Scale
1485. CVPR 2025Goku: Flow Based Video Generative Foundation Models
1486. CVPR 2025Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
1487. CVPR 2025GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
1488. CVPR 2025HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories
1489. CVPR 2025IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
1490. CVPR 2025IDEA-Bench: How Far are Generative Models from Professional Designing?
1491. CVPR 2025Interpretable Generative Models through Post-hoc Concept Bottlenecks
1492. CVPR 2025K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
1493. CVPR 2025K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
1494. CVPR 2025Learning Visual Generative Priors without Text
1495. CVPR 2025LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping
1496. CVPR 2025LT3SD: Latent Trees for 3D Scene Diffusion
1497. CVPR 2025LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting
1498. CVPR 2025MARBLE: Material Recomposition and Blending in CLIP-Space
1499. CVPR 2025MEGA: Masked Generative Autoencoder for Human Mesh Recovery
1500. CVPR 2025MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos

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.