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

1,430 papers, page 11 of 29

501. ICML 2026Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
502. ICML 2026AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
503. ICML 2026Anytime Safe PAC Efficient Reasoning
504. ICML 2026ARC-Decode: Accelerated Decoding with Risk-Bounded Acceptance
505. ICML 2026ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
506. ICML 2026Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach
507. ICML 2026AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
508. ICML 2026ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative Recovery
509. ICML 2026At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
510. ICML 2026Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
511. ICML 2026Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
512. ICML 2026Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering
513. ICML 2026Automatic Layer Selection for Hallucination Detection
514. ICML 2026Autoregression with Self-Token Prediction
515. ICML 2026Autoregressive Image Generation with Masked Bit Modeling
516. ICML 2026AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
517. ICML 2026Balancing Plasticity and Stability with Fast and Slow Successor Features
518. ICML 2026Base Models Know How to Reason, Thinking Models Learn When
519. ICML 2026Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies
520. ICML 2026Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
521. ICML 2026Benchmarking and Improving Fine-Grained Text-to-Image Alignment via Paired Reinforcement Learning
522. ICML 2026Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
523. ICML 2026Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
524. ICML 2026Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering
525. ICML 2026Beyond Pixel Histories: World Models with Persistent 3D State
526. ICML 2026Beyond Reactivity: Proactive Adaptive Conformal Inference for Online LLM Factuality
527. ICML 2026Bi-Anchor Interpolation Solver for Accelerating Generative Modeling
528. ICML 2026Biased Generalization in Diffusion Models
529. ICML 2026Boosting World Models Learning via Latent-Space Value Alignment
530. ICML 2026Breaking the Factorization Barrier in Diffusion Language Models
531. ICML 2026Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
532. ICML 2026Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
533. ICML 2026Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental Learning
534. ICML 2026BRIDGE: Predicting Human Task Completion Time From Model Performance
535. ICML 2026Bridging Functional and Representational Similarity via Usable Information
536. ICML 2026Budget-Constrained Step-Level Diffusion Caching
537. ICML 2026C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders
538. ICML 2026CacheEdit: Efficient Multi-round Image Editing via Adaptive Token-wise Reuse.
539. ICML 2026Calibrated Test-Time Guidance for Bayesian Inference
540. ICML 2026Calibrating Generative Models to Distributional Constraints
541. ICML 2026CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
542. ICML 2026CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry Priors
543. ICML 2026CANDI: Hybrid Discrete-Continuous Diffusion Models
544. ICML 2026Capability Traps in DPO
545. ICML 2026CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
546. ICML 2026Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features
547. ICML 2026Categorical Flow Maps
548. ICML 2026Categorical Reparameterization with Denoising Diffusion Models
549. ICML 2026CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
550. ICML 2026Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

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.