v1v2v3v4v5v6 (latest)

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
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 112 2 0 23 May 2023
Clustering Indices based Automatic Classification Model Selection Sudarsun Santhiappan N. Shravan B. Ravindran 74 0 0 23 May 2023
The Deep Promotion Time Cure Model Victor Medina-Olivares Stefan Lessmann Nadja Klein 45 0 0 19 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 100 4 0 13 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 68 2 0 04 May 2023
Complex Mixer for MedMNIST Classification Decathlon Zhuoran Zheng Xiuyi Jia 86 7 0 20 Apr 2023
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research David Oniani B. Parmanto Andi Saptono A. Bove J. Freburger ... Jonathan C Silverstein M. Becich A. Delitto Elizabeth Skidmore Yanshan Wang 28 2 0 12 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 84 7 0 05 Apr 2023
Classification of integers based on residue classes via modern deep learning algorithms Dangwei Wu Jing Yang Mian Umair Ahsan Kai Wang 72 1 0 03 Apr 2023
Empirical Design in Reinforcement Learning Andrew Patterson Samuel Neumann Martha White Adam White 122 30 0 03 Apr 2023
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm Jiankai Gao Yang Li Bin Wang Haibo Wu 56 13 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 66 11 0 28 Mar 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 90 26 0 25 Mar 2023
Bayesian Quadrature for Neural Ensemble Search Saad Hamid Xingchen Wan Martin Jørgensen Binxin Ru Michael A. Osborne BDL UQCV 69 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 32 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 80 5 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 88 71 0 05 Mar 2023
Automated Machine Learning for Deep Learning based Malware Detection Austin R. Brown Maanak Gupta Mahmoud Abdelsalam 77 44 0 03 Mar 2023
Safe-DS: A Domain Specific Language to Make Data Science Safe Lars Reimann Günter Kniesel-Wünsche 30 4 0 28 Feb 2023
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning Shenghe Zheng Hongzhi Wang Tianyu Mu 86 3 0 25 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 94 16 0 21 Feb 2023
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 61 1 0 17 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 104 2 0 09 Feb 2023
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health Apiwat Ditthapron E. Agu A. Lammert 73 0 0 08 Feb 2023
DivBO: Diversity-aware CASH for Ensemble Learning Yu Shen Yupeng Lu Yang Li Yaofeng Tu Wentao Zhang Tengjiao Wang 82 6 0 07 Feb 2023
Feature construction using explanations of individual predictions Boštjan Vouk Matej Guid Marko Robnik-Šikonja FAtt 88 10 0 23 Jan 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei Wang 72 6 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 131 143 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 101 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 72 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 91 66 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 104 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 104 10 0 23 Nov 2022
A Gait Triaging Toolkit for Overlapping Acoustic Events in Indoor Environments Kelvin Summoogum Debayan Das Parvati Jayakumar 13 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 95 4 0 11 Nov 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 66 1 0 08 Nov 2022
AutoML-based Almond Yield Prediction and Projection in California S. Duan Shuaiqi Wu E. Monier P. Ullrich 38 1 0 08 Nov 2022
Toward Unsupervised Outlier Model Selection Yue Zhao Sean Zhang Leman Akoglu OODD 69 18 0 03 Nov 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 50 1 0 24 Oct 2022
Selecting and Composing Learning Rate Policies for Deep Neural Networks Yanzhao Wu Ling Liu 64 25 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 73 15 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 21 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 59 5 0 21 Sep 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective Li Yang Abdallah Shami 75 55 0 16 Sep 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 79 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 83 79 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 129 3 0 22 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 76 7 0 20 Aug 2022
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach Tong Zhou Shaolei Ren Xiaolin Xu AAML 112 14 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 60 8 0 10 Aug 2022