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

768 papers, page 12 of 16

551. NeurIPS 2024Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
552. NeurIPS 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping
553. NeurIPS 2024GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
554. NeurIPS 2024Gorilla: Large Language Model Connected with Massive APIs
555. NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
556. NeurIPS 2024Graph Diffusion Policy Optimization
557. NeurIPS 2024Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
558. NeurIPS 2024Grounding Multimodal Large Language Models in Actions
559. NeurIPS 2024Group Robust Preference Optimization in Reward-free RLHF
560. NeurIPS 2024GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
561. NeurIPS 2024GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
562. NeurIPS 2024GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
563. NeurIPS 2024Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
564. NeurIPS 2024HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
565. NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
566. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
567. NeurIPS 2024Harmonizing Visual Text Comprehension and Generation
568. NeurIPS 2024HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
569. NeurIPS 2024HonestLLM: Toward an Honest and Helpful Large Language Model
570. NeurIPS 2024How Diffusion Models Learn to Factorize and Compose
571. NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
572. NeurIPS 2024HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
573. NeurIPS 2024HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
574. NeurIPS 2024Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention
575. NeurIPS 2024Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
576. NeurIPS 2024Image Reconstruction Via Autoencoding Sequential Deep Image Prior
577. NeurIPS 2024Image Understanding Makes for A Good Tokenizer for Image Generation
578. NeurIPS 2024Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders
579. NeurIPS 2024Improving the Training of Rectified Flows
580. NeurIPS 2024Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
581. NeurIPS 2024Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
582. NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
583. NeurIPS 2024Instruction-Guided Visual Masking
584. NeurIPS 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
585. NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
586. NeurIPS 2024Is Programming by Example Solved by LLMs?
587. NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
588. NeurIPS 2024L4GM: Large 4D Gaussian Reconstruction Model
589. NeurIPS 2024LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image
590. NeurIPS 2024Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
591. NeurIPS 2024Language-Driven Interactive Traffic Trajectory Generation
592. NeurIPS 2024LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
593. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
594. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
595. NeurIPS 2024Learning from Pattern Completion: Self-supervised Controllable Generation
596. NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
597. NeurIPS 2024Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
598. NeurIPS 2024Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems
599. NeurIPS 2024Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
600. NeurIPS 2024Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

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.