AutoML: A Survey of the State-of-the-Art

2 August 2019

Papers citing "AutoML: A Survey of the State-of-the-Art"

50 / 365 papers shown

Title
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm Jiankai Gao Yang Li Bin Wang Haibo Wu 30 11 0 01 Apr 2023
Tetra-AML: Automatic Machine Learning via Tensor Networks A. Naumov Ar. Melnikov V. Abronin F. Oxanichenko K. Izmailov M. Pflitsch A. Melnikov M. Perelshtein 21 11 0 28 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 17 26 0 25 Mar 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 36 1 0 15 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 15 0 0 15 Mar 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 of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry Wenxin Jiang Nicholas Synovic Matt Hyatt Taylor R. Schorlemmer R. Sethi Yung-Hsiang Lu George K. Thiruvathukal James C. Davis 38 65 0 05 Mar 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 38 37 0 03 Mar 2023
Safe-DS: A Domain Specific Language to Make Data Science Safe Lars Reimann Günter Kniesel-Wünsche 11 4 0 28 Feb 2023
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning Shenghe Zheng Hongzhi Wang Tianyu Mu 40 1 0 25 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 23 13 0 21 Feb 2023
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 28 1 0 17 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 29 2 0 09 Feb 2023
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health Apiwat Ditthapron E. Agu A. Lammert 30 0 0 08 Feb 2023
DivBO: Diversity-aware CASH for Ensemble Learning Yu Shen Yupeng Lu Yang Li Yaofeng Tu Wentao Zhang Bin Cui 27 6 0 07 Feb 2023
Feature construction using explanations of individual predictions Boštjan Vouk Matej Guid Marko Robnik-Šikonja FAtt 27 10 0 23 Jan 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei Wang 30 5 0 23 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 36 130 0 20 Jan 2023
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Nikolay O. Nikitin Sergey Teryoshkin Valerii Pokrovskii Sergey Pakulin D. Nasonov 34 1 0 12 Jan 2023
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems Junming Cao Bihuan Chen Longjie Hu Jie Ying Gao Kaifeng Huang Xin Peng 28 3 0 10 Jan 2023
Natural Language to Code Generation in Interactive Data Science Notebooks Pengcheng Yin Wen-Ding Li Kefan Xiao Abhishek Rao Yeming Wen ... Paige Bailey Michele Catasta Henryk Michalewski Oleksandr Polozov Charles Sutton 38 59 0 19 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 24 8 0 13 Dec 2022
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension Xin He Jiangchao Yao Yuxin Wang Zhenheng Tang Ka Chu Cheung Simon See Bo Han Xiaowen Chu 24 9 0 23 Nov 2022
A Gait Triaging Toolkit for Overlapping Acoustic Events in Indoor Environments Kelvin Summoogum Debayan Das Parvati Jayakumar 11 1 0 11 Nov 2022
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 77 4 0 11 Nov 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 35 1 0 08 Nov 2022
AutoML-based Almond Yield Prediction and Projection in California S. Duan Shuaiqi Wu E. Monier P. Ullrich 21 1 0 08 Nov 2022
Toward Unsupervised Outlier Model Selection Yue Zhao Sean Zhang Leman Akoglu OODD 15 18 0 03 Nov 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 19 1 0 24 Oct 2022
Selecting and Composing Learning Rate Policies for Deep Neural Networks Yanzhao Wu Ling Liu 13 24 0 24 Oct 2022
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions Robin Cugny Julien Aligon Max Chevalier G. Roman-Jimenez O. Teste 38 14 0 06 Oct 2022
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations Blaž Škrlj A. Schwartz Jure Ferlez Davorin Kopic Naama Ziporin LRM 14 1 0 29 Sep 2022
Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion Euna Lee Myungwoo Nam Hongchul Lee 23 5 0 21 Sep 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective Li Yang Abdallah Shami 24 52 0 16 Sep 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 52 4 0 26 Aug 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues Nan Li Lianbo Ma Guo-Ding Yu Bing Xue Mengjie Zhang Yaochu Jin 34 70 0 23 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 50 3 0 22 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 27 7 0 20 Aug 2022
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach Tong Zhou Shaolei Ren Xiaolin Xu AAML 32 13 0 17 Aug 2022
Capturing Dependencies within Machine Learning via a Formal Process Model Fabian Ritz Thomy Phan Andreas Sedlmeier Philipp Altmann J. Wieghardt Reiner N. Schmid Horst Sauer Cornel Klein Claudia Linnhoff-Popien Thomas Gabor VLM 27 7 0 10 Aug 2022
SIAD: Self-supervised Image Anomaly Detection System Jiawei Li Chengxiao Luo Xinyi Zhang Bolin Jiang Yuqiu Xie Naiqi Li Yong-Jin Liu Yaowei Li Enze Huo Bin Chen 77 1 0 08 Aug 2022
HPO: We won't get fooled again Kalifou René Traoré Andrés Camero Xiao Xiang Zhu 24 0 0 04 Aug 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 33 26 0 27 Jul 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture Jianwei Zhang Dong Li Lituan Wang Lei Zhang 33 2 0 21 Jul 2022
Automated machine learning for borehole resistivity measurements M. Shahriari David Pardo S. Kargaran T. Teijeiro AI4CE 16 3 0 20 Jul 2022
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching Qiang-qiang Wang S. Shi Kaiyong Zhao Xiaowen Chu 26 5 0 20 Jul 2022
Modeling Quality and Machine Learning Pipelines through Extended Feature Models Giordano dÁloisio A. Marco Giovanni Stilo 20 7 0 15 Jul 2022
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies Varun Ojha J. Timmis Giuseppe Nicosia 28 11 0 11 Jul 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 32 15 0 17 Jun 2022
Hardness prediction of age-hardening aluminum alloy based on ensemble learning Houchen Zuo Yongquan Jiang Yan Yang Baoying Liu Jie Hu 13 0 0 16 Jun 2022