Automated Machine Learning: From Principles to Practices

31 October 2018

Huan Zhao

Papers citing "Automated Machine Learning: From Principles to Practices"

31 / 31 papers shown

Title
A knowledge-driven AutoML architecture C. Cofaru Johan Loeckx 26 0 0 28 Nov 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 24 8 0 09 Aug 2023
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 25 0 0 19 May 2023
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report] Maureen Daum Enhao Zhang Dong He Stephen Mussmann Brandon Haynes Ranjay Krishna Magdalena Balazinska 32 4 0 07 Mar 2023
An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Moses Openja Foutse Khomh Heng Li 45 14 0 28 Aug 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 41 36 0 13 Apr 2022
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 25 2 0 19 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 42 22 0 20 Sep 2021
Neural Architecture Search in operational context: a remote sensing case-study Anthony Cazasnoves Pierre-Antoine Ganaye Kévin Sanchis Tugdual Ceillier 27 0 0 15 Sep 2021
HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization Leila Zahedi F. Mohammadi M. Amini 24 5 0 11 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification Shuhuai Ren Jinchao Zhang Lei Li Xu Sun Jie Zhou 38 31 0 01 Sep 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting Yue Cui Jiandong Xie Kai Zheng AI4TS 19 53 0 30 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 43 225 0 23 Mar 2021
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Universal Activation Function For Machine Learning Brosnan Yuen Minh Tu Hoang Xiaodai Dong Tao Lu 26 40 0 07 Nov 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 15 2,032 0 30 Jul 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data Yuexiang Xie Zhen Wang Yaliang Li Bolin Ding Nezihe Merve Gürel Ce Zhang Minlie Huang Wei Lin Jingren Zhou 62 28 0 29 Jul 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 11 52 0 09 Jun 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks Qitao Shi Ya-Lin Zhang Longfei Li Xinxing Yang Meng Li Jun Zhou 34 30 0 05 Mar 2020
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search Arber Zela Julien N. Siems Frank Hutter 88 147 0 28 Jan 2020
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Xia Hu 18 48 0 21 Jul 2019
Efficient Neural Interaction Function Search for Collaborative Filtering Quanming Yao Xiangning Chen James T. Kwok Yong Li Cho-Jui Hsieh 13 43 0 28 Jun 2019
Deep Neural Networks for Marine Debris Detection in Sonar Images Matias Valdenegro-Toro 27 25 0 13 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 72 2,420 0 06 Sep 2018
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 34 25 0 15 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 231 1,780 0 02 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016