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 40 of 87

1951. ICML 2025Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
1952. ICML 2025Inverse Bridge Matching Distillation
1953. ICML 2025Inverse Flow and Consistency Models
1954. ICML 2025Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
1955. ICML 2025Inverse problems with experiment-guided AlphaFold
1956. ICML 2025IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
1957. ICML 2025Is Noise Conditioning Necessary for Denoising Generative Models?
1958. ICML 2025Kinetic Langevin Diffusion for Crystalline Materials Generation
1959. ICML 2025LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
1960. ICML 2025Latent Thought Models with Variational Bayes Inference-Time Computation
1961. ICML 2025Learning Extrapolative Sequence Transformations from Markov Chains
1962. ICML 2025Learning Latent Graph Structures and their Uncertainty
1963. ICML 2025Learning Monotonic Probabilities with a Generative Cost Model
1964. ICML 2025Learning Multi-Level Features with Matryoshka Sparse Autoencoders
1965. ICML 2025Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
1966. ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
1967. ICML 2025Learning to Quantize for Training Vector-Quantized Networks
1968. ICML 2025Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
1969. ICML 2025LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
1970. ICML 2025LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
1971. ICML 2025Low-Rank Adapting Models for Sparse Autoencoders
1972. ICML 2025Masked Autoencoders Are Effective Tokenizers for Diffusion Models
1973. ICML 2025Masked Generative Nested Transformers with Decode Time Scaling
1974. ICML 2025MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models
1975. ICML 2025Measuring Diversity: Axioms and Challenges
1976. ICML 2025Mechanisms of Projective Composition of Diffusion Models
1977. ICML 2025MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
1978. ICML 2025MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
1979. ICML 2025MissScore: High-Order Score Estimation in the Presence of Missing Data
1980. ICML 2025MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES
1981. ICML 2025MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
1982. ICML 2025Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
1983. ICML 2025Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
1984. ICML 2025Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
1985. ICML 2025Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
1986. ICML 2025MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners
1987. ICML 2025Near-Optimal Sample Complexity for MDPs via Anchoring
1988. ICML 2025Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
1989. ICML 2025NETS: A Non-equilibrium Transport Sampler
1990. ICML 2025NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
1991. ICML 2025Noise Conditional Variational Score Distillation
1992. ICML 2025Normalizing Flows are Capable Generative Models
1993. ICML 2025NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
1994. ICML 2025OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
1995. ICML 2025On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
1996. ICML 2025On the Guidance of Flow Matching
1997. ICML 2025Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models
1998. ICML 2025Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
1999. ICML 2025Perceptually Constrained Precipitation Nowcasting Model
2000. ICML 2025Physics-Informed Generative Modeling of Wireless Channels

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.