Summary of Cooperative Multi-agent Deep Reinforcement Learning in Content Ranking Optimization, by Zhou Qin et al.
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimizationby Zhou Qin, Kai Yuan, Pratik Lahiri,…
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimizationby Zhou Qin, Kai Yuan, Pratik Lahiri,…
Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspectiveby Jie Gui, Chengze Jiang, Minjing Dong,…
Deep Generative Models for Subgraph Predictionby Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia, Oliver SchulteFirst submitted…
Combining Neural Architecture Search and Automatic Code Optimization: A Surveyby Inas Bachiri, Hadjer Benmeziane, Smail…
A Logical Fallacy-Informed Framework for Argument Generationby Luca Mouchel, Debjit Paul, Shaobo Cui, Robert West,…
Consumer Transactions Simulation through Generative Adversarial Networksby Sergiy Tkachuk, Szymon Łukasik, Anna WróblewskaFirst submitted to…
A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Modelsby Pengxiang Zhao, Hanyu Hu, Ping Li,…
Bayes-optimal learning of an extensive-width neural network from quadratically many samplesby Antoine Maillard, Emanuele Troiani,…
Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processesby Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora,…
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Modelsby Ayrton…