Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence

AAAI Conference on Artificial Intelligence (AAAI), 2020

13 July 2020

Lawrence Carin

Papers citing "Bridging Maximum Likelihood and Adversarial Learning via $α$-Divergence"

6 / 6 papers shown

f-Divergence Minimization for Sequence-Level Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023

393

101

27 Jul 2023

CoopInit: Initializing Generative Adversarial Networks via Cooperative LearningAAAI Conference on Artificial Intelligence (AAAI), 2023

340

21 Mar 2023

Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 modelGeoscientific Model Development (GMD), 2022

352

28 Mar 2022

Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics

Masahiro Kato

Masaaki Imaizumi

Kentaro Minami

253

31 Jan 2022

A Statistician Teaches Deep LearningJournal of Statistical Theory and Practice (JSTP), 2021

290

29 Jan 2021

Least

k

th-Order and Rényi Generative Adversarial NetworksNeural Computation (Neural Comput.), 2020

William Paul

273

03 Jun 2020

Bridging Maximum Likelihood and Adversarial Learning via ααα-Divergence

Papers citing "Bridging Maximum Likelihood and Adversarial Learning via $α$-Divergence"

Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence