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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

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20
62
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4276
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Papers (including subtopics)

Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023
Raising the Cost of Malicious AI-Powered Image Editing ICML 2023
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis ICML 2023
The Acquisition of Physical Knowledge in Generative Neural Networks ICML 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023
Variational Autoencoding Neural Operators ICML 2023
Neural Markov Jump Processes ICML 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023
On Kinetic Optimal Probability Paths for Generative Models ICML 2023
Towards Understanding and Improving GFlowNet Training ICML 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction ICML 2023
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023
Long Horizon Temperature Scaling ICML 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023
Text-To-4D Dynamic Scene Generation ICML 2023
Consistency Models ICML 2023
Latent Traversals in Generative Models as Potential Flows ICML 2023
Importance Weighted Expectation-Maximization for Protein Sequence Design ICML 2023
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation ICML 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation ICML 2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023
Target-Aware Generative Augmentations for Single-Shot Adaptation ICML 2023