AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

6 March 2020

Papers citing "AutoML-Zero: Evolving Machine Learning Algorithms From Scratch"

18 / 118 papers shown

Title
Qualities, challenges and future of genetic algorithms: a literature review A. Vié Alissa M. Kleinnijenhuis Doyne, J Farmer AI4CE 6 14 0 05 Nov 2020
Towards Self-learning Edge Intelligence in 6G Yong Xiao Guangming Shi Yingyu Li Walid Saad H. Vincent Poor 22 94 0 01 Oct 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 33 108 0 04 Aug 2020
Formal Fields: A Framework to Automate Code Generation Across Domains Jacques Basaldua 6 1 0 28 Jul 2020
Momentum Accelerates Evolutionary Dynamics Marc Harper Joshua Safyan 12 2 0 05 Jul 2020
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference Andac Demir T. Koike-Akino Ye Wang Deniz Erdogmus 7 0 0 02 Jul 2020
MPLP: Learning a Message Passing Learning Protocol E. Randazzo Eyvind Niklasson A. Mordvintsev 14 4 0 02 Jul 2020
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning Henry Chan Y. Nashed S. Kandel S. Hruszkewycz S. Sankaranarayanan R. Harder Mathew J. Cherukara 8 35 0 16 Jun 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 8 35 0 17 Apr 2020
Evolving Normalization-Activation Layers Hanxiao Liu Andrew Brock Karen Simonyan Quoc V. Le 12 79 0 06 Apr 2020
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez Risto Miikkulainen 16 9 0 31 Jan 2020
Scalable NAS with Factorizable Architectural Parameters Lanfei Wang Lingxi Xie Tianyi Zhang Jun Guo Qi Tian 28 3 0 31 Dec 2019
Learning Fitness Functions for Machine Programming Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich Sheng-Tian Zhou A. Muzahid 21 11 0 22 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 117 498 0 24 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
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 716 6,743 0 26 Sep 2016