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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

2
20
62
1007
4276
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Papers (including subtopics)

Generative Adversarial Networks for Video-to-Video Domain Adaptation AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Weakly Supervised Disentanglement by Pairwise Similarities AAAI 2020
Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020
Capsule Routing via Variational Bayes AAAI 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks AAAI 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020
DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020
Generative Exploration and Exploitation AAAI 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020
Nonlinear System Identification via Tensor Completion AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
A Forest from the Trees: Generation through Neighborhoods AAAI 2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020
Stochastic Loss Function AAAI 2020
Collaborative Sampling in Generative Adversarial Networks AAAI 2020
Structured Output Learning with Conditional Generative Flows AAAI 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Generative Continual Concept Learning AAAI 2020