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AutoML: A Survey of the State-of-the-Art
v1v2v3v4v5v6 (latest)

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

2 August 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
ArXiv (abs)PDFHTML

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

50 / 365 papers shown
Title
Computation-friendly Graph Neural Network Design by Accumulating
  Knowledge on Large Language Models
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Jialiang Wang
Shimin Di
Hanmo Liu
Zhili Wang
Jiachuan Wang
Lei Chen
Xiaofang Zhou
83
0
0
13 Aug 2024
Unveiling the Power of Sparse Neural Networks for Feature Selection
Unveiling the Power of Sparse Neural Networks for Feature Selection
Zahra Atashgahi
Tennison Liu
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
M. Schaar
74
3
0
08 Aug 2024
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks
Jaewook Lee
Yoel Park
Seulki Lee
VLM
63
1
0
07 Aug 2024
Intelligent Cross-Organizational Process Mining: A Survey and New
  Perspectives
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
Yiyuan Yang
Zheshun Wu
Yong Chu
Zhenghua Chen
Zenglin Xu
Qingsong Wen
66
0
0
15 Jul 2024
Understanding the Importance of Evolutionary Search in Automated
  Heuristic Design with Large Language Models
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
Rui Zhang
Fei Liu
Xi Lin
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
60
9
0
15 Jul 2024
Integrating Ontology Design with the CRISP-DM in the context of
  Cyber-Physical Systems Maintenance
Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance
Milapji Singh Gill
Tom Westermann
Gernot Steindl
Felix Gehlhoff
Alexander Fay
85
2
0
09 Jul 2024
Introducing Ínside' Out of Distribution
Introducing Ínside' Out of Distribution
Teddy Lazebnik
118
1
0
05 Jul 2024
From Efficient Multimodal Models to World Models: A Survey
From Efficient Multimodal Models to World Models: A Survey
Xinji Mai
Zeng Tao
Junxiong Lin
Haoran Wang
Yang Chang
Yanlan Kang
Yan Wang
Wenqiang Zhang
103
6
0
27 Jun 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta
Jonathan Lorraine
Steve Masson
Ramanathan Arunachalam
Zaid Pervaiz Bhat
James Lucas
Arun George Zachariah
118
4
0
26 Jun 2024
Class-specific Data Augmentation for Plant Stress Classification
Class-specific Data Augmentation for Plant Stress Classification
Nasla Saleem
Aditya Balu
Talukder Zaki Jubery
Arti Singh
Asheesh Kumar Singh
Soumik Sarkar
Baskar Ganapathysubramanian
66
1
0
18 Jun 2024
Grad-Instructor: Universal Backpropagation with Explainable Evaluation
  Neural Networks for Meta-learning and AutoML
Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoML
Ryohei Ino
UQCV
32
0
0
15 Jun 2024
Repurposing Language Models into Embedding Models: Finding the
  Compute-Optimal Recipe
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
Alicja Ziarko
Albert Q. Jiang
Bartosz Piotrowski
Wenda Li
M. Jamnik
Piotr Miłoś
77
1
0
06 Jun 2024
Are Large Language Models the New Interface for Data Pipelines?
Are Large Language Models the New Interface for Data Pipelines?
Sylvio Barbon Junior
Paolo Ceravolo
Sven Groppe
Mustafa Jarrar
S. Maghool
Florence Sèdes
S. Sahri
M. van Keulen
LM&MA
74
9
0
06 Jun 2024
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Adam Orucu
Farnaz Moradi
Masoumeh Ebrahimi
Andreas Johnsson
AI4CE
66
1
0
04 Jun 2024
Artificial Intelligence in Industry 4.0: A Review of Integration
  Challenges for Industrial Systems
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
Alexander Windmann
Philipp Wittenberg
Marvin Schieseck
Oliver Niggemann
AI4CE
73
7
0
28 May 2024
Unsupervised Generative Feature Transformation via Graph Contrastive
  Pre-training and Multi-objective Fine-tuning
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
Wangyang Ying
Dongjie Wang
Xuanming Hu
Yuanchun Zhou
Charu C. Aggarwal
Yanjie Fu
84
16
0
27 May 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with
  Foundation Models
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
Zhiqiang Tang
Haoyang Fang
Su Zhou
Taojiannan Yang
Zihan Zhong
Tony Hu
Katrin Kirchhoff
George Karypis
109
14
0
24 Apr 2024
Designing forecasting software for forecast users: Empowering
  non-experts to create and understand their own forecasts
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts
Richard Stromer
Oskar Triebe
Chad Zanocco
Ram Rajagopal
AI4TS
59
0
0
22 Apr 2024
Next Generation Loss Function for Image Classification
Next Generation Loss Function for Image Classification
S. Akhmedova
Nils Körber
VLM
93
2
0
19 Apr 2024
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule
  Joint Evolution
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution
Brandon Morgan
Dean Frederick Hougen
ODL
92
0
0
10 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A
  Survey
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
138
67
0
08 Apr 2024
Domain Generalisation via Imprecise Learning
Domain Generalisation via Imprecise Learning
Anurag Singh
Siu Lun Chau
S. Bouabid
Krikamol Muandet
AI4CEOOD
100
10
0
06 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
108
23
0
30 Mar 2024
Budget-aware Query Tuning: An AutoML Perspective
Budget-aware Query Tuning: An AutoML Perspective
Wentao Wu
Chi Wang
62
2
0
29 Mar 2024
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting
  in Transformers
Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers
Philip Kenneweg
Alexander Schulz
Sarah Schröder
Barbara Hammer
CLL
61
3
0
27 Mar 2024
Neural Architecture Search for Sentence Classification with BERT
Neural Architecture Search for Sentence Classification with BERT
Philip Kenneweg
Sarah Schröder
Barbara Hammer
29
0
0
27 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing
Yansen Wang
Guoxin Sui
Jing Hong
Jingrui He
Yuqing Yang
Dongsheng Li
Kan Ren
AI4TS
89
8
0
19 Mar 2024
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction
Ali Asghar Sharifi
Ali Zoljodi
Masoud Daneshtalab
3DPC
70
4
0
18 Mar 2024
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
91
60
0
18 Mar 2024
Multi-Objective Evolutionary Neural Architecture Search for Recurrent
  Neural Networks
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Reinhard Booysen
Anna Sergeevna Bosman
68
1
0
17 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
135
7
0
13 Mar 2024
Automated Multi-Task Learning for Joint Disease Prediction on Electronic
  Health Records
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
Suhan Cui
Prasenjit Mitra
89
2
0
06 Mar 2024
FlatNAS: optimizing Flatness in Neural Architecture Search for
  Out-of-Distribution Robustness
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Matteo Gambella
Fabrizio Pittorino
Manuel Roveri
OOD
119
3
0
29 Feb 2024
Evolving machine learning workflows through interactive AutoML
Evolving machine learning workflows through interactive AutoML
Rafael Barbudo
Aurora Ramírez
José Raúl Romero
45
2
0
28 Feb 2024
AutoMMLab: Automatically Generating Deployable Models from Language
  Instructions for Computer Vision Tasks
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Zekang Yang
Wang Zeng
Sheng Jin
Chao Qian
Ping Luo
Wentao Liu
MLLMVLM
106
10
0
23 Feb 2024
HyperFast: Instant Classification for Tabular Data
HyperFast: Instant Classification for Tabular Data
David Bonet
D. M. Montserrat
Xavier Giró-i-Nieto
A. Ioannidis
85
17
0
22 Feb 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter
  Optimization
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization
Yang Zhang
Haiyang Wu
Yuekui Yang
81
0
0
21 Feb 2024
Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
Hang Yuan
Saizhuo Wang
Jian Guo
72
4
0
15 Feb 2024
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI
  Experts and Clients
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
Dae Hyun Kim
Hyungyu Shin
Shakhnozakhon Yadgarova
J. Son
Hariharan Subramonyam
Juho Kim
68
5
0
14 Feb 2024
Guided Evolution with Binary Discriminators for ML Program Search
Guided Evolution with Binary Discriminators for ML Program Search
John D. Co-Reyes
Yingjie Miao
George Tucker
Aleksandra Faust
Esteban Real
77
0
0
08 Feb 2024
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual
  Framework, Potentials and Limitations
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations
Mario Truss
Marc Schmitt
68
2
0
06 Feb 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms
  via Large Language Models (LLMs)
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng
Chao Li
Zhun Sun
Qibin Zhao
Guoxu Zhou
94
5
0
04 Feb 2024
Neural Loss Function Evolution for Large-Scale Image Classifier
  Convolutional Neural Networks
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks
Brandon Morgan
Dean Frederick Hougen
54
2
0
30 Jan 2024
Automated Machine Learning for Positive-Unlabelled Learning
Automated Machine Learning for Positive-Unlabelled Learning
Jack D. Saunders
A. A. Freitas
37
0
0
12 Jan 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design
  Using Large Language Model
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
131
84
0
04 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines
DREAM: Debugging and Repairing AutoML Pipelines
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
91
1
0
31 Dec 2023
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable
  AI
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI
Saikat Barua
Sifat Momen
53
6
0
30 Dec 2023
AdaNAS: Adaptively Post-processing with Self-supervised Neural
  Architecture Search for Ensemble Rainfall Forecasts
AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
Yingpeng Wen
Weijiang Yu
Fudan Zheng
Dan Huang
Nong Xiao
97
1
0
26 Dec 2023
Integration Of Evolutionary Automated Machine Learning With Structural
  Sensitivity Analysis For Composite Pipelines
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines
Nikolay O. Nikitin
Maiia Pinchuk
Valerii Pokrovskii
Peter Shevchenko
Andrey Getmanov
Yaroslav Aksenkin
I. Revin
Andrey Stebenkov
Ekaterina Poslavskaya
Anna V. Kaluzhnaya
75
0
0
22 Dec 2023
Clash of the Explainers: Argumentation for Context-Appropriate
  Explanations
Clash of the Explainers: Argumentation for Context-Appropriate Explanations
Leila Methnani
Virginia Dignum
Andreas Theodorou
38
0
0
12 Dec 2023
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