Neural Architecture Search with Reinforcement Learning

5 November 2016

Papers citing "Neural Architecture Search with Reinforcement Learning"

7 / 7 papers shown

Title
A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters Aoi Kato Kenta Kojima Masahiro Nomura I. Ono 26 0 0 30 Apr 2025
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models X. Wang Haoyang Li Zeyang Zhang H. Chen Wenwu Zhu LRM 54 29 0 28 Apr 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 63 1 0 01 Nov 2024
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning Xupeng Miao Gabriele Oliaro Xinhao Cheng Vineeth Kada Ruohan Gao ... April Yang Yingcheng Wang Mengdi Wu Colin Unger Zhihao Jia MoE 46 8 0 29 Feb 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 40 0 0 20 Dec 2023
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 42 4 0 11 Nov 2022
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 703 6,435 0 26 Sep 2016