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

1,304 papers, page 10 of 27

451. ICML 2026Robust and Consistent Ski Rental with Distributional Advice
452. ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
453. ICML 2026Robust Parallel Diffusion Sampling via Dynamic Jacobian Bandwidth
454. ICML 2026Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
455. ICML 2026RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression
456. ICML 2026SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
457. ICML 2026SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
458. ICML 2026Scalable GANs with Transformers
459. ICML 2026Scalable RF Simulation in Generative 4D Worlds
460. ICML 2026Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
461. ICML 2026SCalDA: Semantics-Calibrated and Diffusion-Enhanced Data Augmentation
462. ICML 2026ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and Expression
463. ICML 2026SceneDirector: Bridging Explicit Geometry and Generative Priors for Unified Driving Scene Editing
464. ICML 2026Score Based Error Correcting Code Decoder
465. ICML 2026Score Correction for Generative Models with Probabilistic Constraints
466. ICML 2026SDiD：Shared diffusion prior for efficient distributed stereo image compression
467. ICML 2026SE(3)-Equivariant Flow Matching with Gaussian Process Priors for Geometric Trajectory Prediction
468. ICML 2026SE(n)-Invariant Flow Matching: A General Framework with Application to Object Reassembly
469. ICML 2026Seeing the Unseen: Physics-as-Representation for Generalizable Gaze Perception
470. ICML 2026SegPVSG: Panoptic Video Scene Graph Generation via Temporal Focusing and Generative Augmentation
471. ICML 2026Self-Refining Video Sampling
472. ICML 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
473. ICML 2026Semantic Editing with Coupled Stochastic Differential Equations
474. ICML 2026Semantic Granularity Navigation in Image Editing
475. ICML 2026Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression
476. ICML 2026Semantic-Aware Motion Encoding for Topology-Agnostic Character Animation
477. ICML 2026SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis
478. ICML 2026Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
479. ICML 2026SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
480. ICML 2026Sharper Generalization Guarantees for Asynchronous SGD: Beyond Lipschitzness, Smoothness and Data Homogeneity
481. ICML 2026Sign Lock-In: Randomly Initialized Weight Signs Persist and Bottleneck Sub-Bit Model Compression
482. ICML 2026Simple Denoising Diffusion Language Models
483. ICML 2026SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation
484. ICML 2026Skipping the Zeros in Diffusion Models for Sparse Data Generation
485. ICML 2026SlerpFlow: Spherical Trajectory Correction for Rectified Flow Inversion
486. ICML 2026SMART: Scalable Mesh‑free Aerodynamic Simulations from Raw Geometries using a Transformer‑based Surrogate Model
487. ICML 2026Solving Inverse Problems with Flow-based Models via Model Predictive Control
488. ICML 2026Sparse Autoencoders are Topic Models
489. ICML 2026Sparse Autoencoders for Interpretable Emotion Control in Text-to-Speech
490. ICML 2026Sparse Bayesian Deep Functional Learning with Structured Region Selection
491. ICML 2026Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
492. ICML 2026Spatiotemporal Imputation with Graph-Informed Flow Matching
493. ICML 2026SpecPL: Disentangling Spectral Granularity for Prompt Learning
494. ICML 2026Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
495. ICML 2026Spectral Guidance for Flexible and Efficient Control of Diffusion Models
496. ICML 2026Spectrally-Guided Diffusion Noise Schedules
497. ICML 2026Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation
498. ICML 2026SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
499. ICML 2026Stabilizing Reinforcement Learning for Diffusion Language Models
500. ICML 2026Stable Velocity: A Variance Perspective on Flow Matching

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.