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 12 of 87

551. ICML 2026Causal Representation Learning with Optimal Compression and Complex Treatments
552. ICML 2026Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
553. ICML 2026CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models
554. ICML 2026Co-Generative De Novo Functional Protein Design
555. ICML 2026CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation
556. ICML 2026CoFrGeNet: Continued Fraction Architectures for Language Generation
557. ICML 2026CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting
558. ICML 2026CompleteP for RL: Maintaining Feature Learning When Scaling Deep Reinforcement Learning
559. ICML 2026ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
560. ICML 2026Compositional Generative Modeling from Decentralized Data
561. ICML 2026Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models
562. ICML 2026Computational Arbitrage in AI Model Markets
563. ICML 2026Compute Where it Counts: Self Optimizing Language Models
564. ICML 2026Concept Removal for Frontier Image Generative Models
565. ICML 2026Concept-Guided Tokenization: Closing the Gap Between Reconstruction and Generation
566. ICML 2026Condition-Aware Graph Flow Matching for Modeling the Distributions of Complex Fluid Systems
567. ICML 2026Conf-Gen: Conformal Uncertainty Quantification for Generative Models
568. ICML 2026Confidence is Not Universal: Task-Dependent Calibration and Emergent Behavior in LLMs
569. ICML 2026Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
570. ICML 2026Conformal C2ST: Turning weak classifiers into strong two-sample tests
571. ICML 2026Consistent Diffusion Language Models
572. ICML 2026Content-Style Identification via Differential Independence
573. ICML 2026Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
574. ICML 2026Contrastive Flow Map Matching
575. ICML 2026ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
576. ICML 2026Correctness-Optimized Residual Activation Lens (CORAL): Transferrable and Calibration-Aware Inference-Time Steering
577. ICML 2026CountsDiff: A diffusion model on the natural numbers for generation and imputation of count-based data
578. ICML 2026CRAG: Can 3D Generative Models Help 3D Assembly?
579. ICML 2026CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
580. ICML 2026Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
581. ICML 2026d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation
582. ICML 2026DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants
583. ICML 2026DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
584. ICML 2026Decomposing Out-of-Distribution Error in Conditional Flow Matching via Wasserstein Geometry
585. ICML 2026Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
586. ICML 2026Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
587. ICML 2026Deformba: Vision State Space Model with Adaptive State Fusion
588. ICML 2026DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
589. ICML 2026Detecting Perspective Shifts in Multi-Agent Systems
590. ICML 2026Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
591. ICML 2026DiasR: Dual-Modal Identity-Anchored Sparse Routing for Efficient Multi-Subject Video Generation
592. ICML 2026DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
593. ICML 2026Differential syntactic and semantic encoding in LLMs
594. ICML 2026DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization
595. ICML 2026Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis
596. ICML 2026Diffusion Controller: Framework, Algorithms and Parameterization
597. ICML 2026Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
598. ICML 2026Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge
599. ICML 2026Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
600. ICML 2026Dimension-free convergence of diffusion models for approximate Gaussian mixtures

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.