AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

6 March 2020

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

50 / 118 papers shown

Title
Synthesizing Programs with Continuous Optimization Shantanu Mandal T. A. Anderson Javier S. Turek Justin Emile Gottschlich A. Muzahid 16 2 0 02 Nov 2022
Selecting and Composing Learning Rate Policies for Deep Neural Networks Yanzhao Wu Ling Liu 11 23 0 24 Oct 2022
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR Gary Wang Ekin D.Cubuk Andrew Rosenberg Shuyang Cheng Ron J. Weiss Bhuvana Ramabhadran Pedro J. Moreno Quoc V. Le Daniel S. Park 15 1 0 19 Oct 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang Yuanhao Xiong Minhao Cheng Cho-Jui Hsieh 19 5 0 27 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 27 11 0 19 Sep 2022
EZNAS: Evolving Zero Cost Proxies For Neural Architecture Scoring Yash Akhauri J. P. Muñoz Nilesh Jain Ravi Iyer 46 13 0 15 Sep 2022
Automated discovery of interpretable gravitational-wave population models Kaze W. K. Wong M. Cranmer 14 7 0 25 Jul 2022
Neural Architecture Search using Property Guided Synthesis Charles Jin P. Phothilimthana Sudip Roy 25 6 0 08 May 2022
Self-Programming Artificial Intelligence Using Code-Generating Language Models Alex Sheng Shankar Padmanabhan SyDa 9 2 0 30 Apr 2022
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization Alejandro Rosales-Pérez S. García Francisco Herrera 11 15 0 21 Apr 2022
Efficient Architecture Search for Diverse Tasks Jun Shen M. Khodak Ameet Talwalkar 22 31 0 15 Apr 2022
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability Juan Jose Garau-Luis Yingjie Miao John D. Co-Reyes Aaron T Parisi Jie Tan Esteban Real Aleksandra Faust 29 0 0 08 Apr 2022
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search Stephen Cha Taehyeon Kim Hayeon Lee Se-Young Yun AI4CE 30 2 0 08 Apr 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits Jiahao Yao Haoya Li Marin Bukov Lin Lin Lexing Ying 16 15 0 30 Mar 2022
On Redundancy and Diversity in Cell-based Neural Architecture Search Xingchen Wan Binxin Ru Pedro M. Esperancca Zhenguo Li 25 20 0 16 Mar 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 37 18 0 13 Mar 2022
Evolving symbolic density functionals He Ma Arunachalam Narayanaswamy Patrick F. Riley Li Li 13 31 0 03 Mar 2022
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks Javier Poyatos Daniel Molina Aritz D. Martinez Javier Del Ser Francisco Herrera 26 33 0 08 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Zhengying Liu Adrien Pavao Zhen Xu Sergio Escalera Fabio Ferreira ... Peng Wang Chenglin Wu Youcheng Xiong Arber Zela Yang Zhang AAML 27 26 0 11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
INTERN: A New Learning Paradigm Towards General Vision Jing Shao Siyu Chen Yangguang Li Kun Wang Zhen-fei Yin ... F. Yu Junjie Yan Dahua Lin Xiaogang Wang Yu Qiao 10 34 0 16 Nov 2021
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio P. Santiago D. Faissol Brenden K. Petersen 16 85 0 29 Oct 2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu Nicholas Roberts M. Khodak Jun Shen Frederic Sala Ameet Talwalkar 15 33 0 12 Oct 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 152 0 17 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 23 58 0 09 Sep 2021
Toward a `Standard Model' of Machine Learning Zhiting Hu Eric P. Xing 29 12 0 17 Aug 2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing Boyu Chen Peixia Li Baopu Li Chuming Li Lei Bai Chen Lin Ming-hui Sun Junjie Yan Wanli Ouyang ViT 65 33 0 07 Aug 2021
AutoBERT-Zero: Evolving BERT Backbone from Scratch Jiahui Gao Hang Xu Han Shi Xiaozhe Ren Philip L. H. Yu Xiaodan Liang Xin Jiang Zhenguo Li 19 37 0 15 Jul 2021
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation V. Nath Dong Yang Ali Hatamizadeh Anas Abidin Andriy Myronenko H. Roth Daguang Xu 25 5 0 12 Jul 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL Jack Parker-Holder Vu Nguyen Shaan Desai Stephen J. Roberts 27 16 0 30 Jun 2021
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 13 55 0 26 Jun 2021
ChaCha for Online AutoML Qingyun Wu Chi Wang John Langford Paul Mineiro Marco Rossi 27 7 0 09 Jun 2021
Automated Decision-based Adversarial Attacks Qi-An Fu Yinpeng Dong Hang Su Jun Zhu AAML 13 1 0 09 May 2021
Automated Mathematical Equation Structure Discovery for Visual Analysis Caroline Silva José Souza A. Vacavant T. Bouwmans A. Sobral 11 0 0 17 Apr 2021
Meta-Learning Bidirectional Update Rules Mark Sandler Max Vladymyrov A. Zhmoginov Nolan Miller Andrew Jackson T. Madams Blaise Agüera y Arcas 11 15 0 10 Apr 2021
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment Can Cui Wen Wang Meihui Zhang Gang Chen Zhaojing Luo Beng Chin Ooi 14 20 0 30 Mar 2021
Rethinking Neural Operations for Diverse Tasks Nicholas Roberts M. Khodak Tri Dao Liam Li Christopher Ré Ameet Talwalkar AI4CE 31 22 0 29 Mar 2021
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks Hao Li Tianwen Fu Jifeng Dai Hongsheng Li Gao Huang Xizhou Zhu 24 29 0 25 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 30 225 0 23 Mar 2021
Evolving Continuous Optimisers from Scratch M. Lones 16 10 0 22 Mar 2021
Neural Architecture Search based on Cartesian Genetic Programming Coding Method Xuan Wu Linhan Jia Xiuyi Zhang Liang Chen Yanchun Liang You Zhou Chunguo Wu 13 0 0 12 Mar 2021
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search Peidong Liu Gengwei Zhang Bochao Wang Hang Xu Xiaodan Liang Yong-jia Jiang Zhenguo Li 13 28 0 09 Feb 2021
PyGlove: Symbolic Programming for Automated Machine Learning Daiyi Peng Xuanyi Dong Esteban Real Mingxing Tan Yifeng Lu Hanxiao Liu Gabriel Bender Adam Kraft Chen Liang Quoc V. Le 17 31 0 21 Jan 2021
Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm Karol Gregor F. Besse 19 9 0 19 Jan 2021
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces Xingyou Song K. Choromanski Jack Parker-Holder Yunhao Tang Qiuyi Zhang ... Deepali Jain Wenbo Gao Aldo Pacchiano Tamás Sarlós Yuxiang Yang 6 0 0 19 Jan 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 25 73 0 08 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 40 56 0 29 Dec 2020
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 14 16 0 23 Dec 2020
Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs K. Desnos Nicolas Sourbier Pierre-Yves Raumer Olivier Gesny Maxime Pelcat 9 12 0 15 Dec 2020