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Auto-Keras: An Efficient Neural Architecture Search System
v1v2v3 (latest)

Auto-Keras: An Efficient Neural Architecture Search System

Knowledge Discovery and Data Mining (KDD), 2018
27 June 2018
Haifeng Jin
Qingquan Song
Helen Zhou
ArXiv (abs)PDFHTML

Papers citing "Auto-Keras: An Efficient Neural Architecture Search System"

50 / 229 papers shown
Title
NNGPT: Rethinking AutoML with Large Language Models
NNGPT: Rethinking AutoML with Large Language Models
Roman Kochnev
Waleed Khalid
Tolgay Atinc Uzun
X. Zhang
Yashkumar Sanjaybhai Dhameliya
...
Chandini Vysyaraju
Raghuvir Duvvuri
Avi Goyal
D. Ignatov
Radu Timofte
LM&MALRM
143
3
0
25 Nov 2025
Private Data Imputation
Private Data Imputation
Abdelkarim Kati
Florian Kerschbaum
Marina Blanton
41
0
0
25 Nov 2025
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series
Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series
Georg Velev
Stefan Lessmann
AI4TS
72
0
0
27 Oct 2025
FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference
FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference
Divya J. Bajpai
M. Hanawal
MLLMVLM
178
0
0
26 Oct 2025
BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
Arefin Ittesafun Abian
Debopom Sutradhar
Md Rafi Ur Rashid
Reem E. Mohamed
M. Islam
Asif Karim
Kheng Cher Yeo
Sami Azam
93
0
0
07 Oct 2025
TACO-Net: Topological Signatures Triumph in 3D Object Classification
TACO-Net: Topological Signatures Triumph in 3D Object Classification
Anirban Ghosh
Ayan Dutta
3DPC
73
0
0
29 Sep 2025
Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
Mateusz Żarski
Sławomir Nowaczyk
76
0
0
29 Sep 2025
Quickly Tuning Foundation Models for Image Segmentation
Quickly Tuning Foundation Models for Image Segmentation
Breenda Das
Lennart Purucker
Timur Carstensen
Frank Hutter
MLLMVLM
96
0
0
24 Aug 2025
KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems
KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems
Stepan Kulibaba
Artem Dzhalilov
Roman Pakhomov
Oleg Svidchenko
Alexander Gasnikov
A. Shpilman
138
2
0
13 Aug 2025
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching
MedSymmFlow: Bridging Generative Modeling and Classification in Medical Imaging through Symmetrical Flow Matching
Francisco Caetano
Lemar Abdi
Christiaan Viviers
Amaan Valiuddin
Fons van der Sommen
MedIm
82
0
0
25 Jul 2025
Agentic AI framework for End-to-End Medical Data Inference
Agentic AI framework for End-to-End Medical Data Inference
Soorya Ram Shimgekar
Shayan Vassef
Abhay Goyal
Navin Kumar
Koustuv Saha
MedIm
168
7
0
24 Jul 2025
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
Tongzhou Yu
Zhuhao Zhang
Guanghui Zhu
Shen Jiang
Meikang Qiu
Yihua Huang
115
0
0
09 Jun 2025
Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation
Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation
Christopher Subia-Waud
130
0
0
09 Jun 2025
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Jaehyun Nam
Chang Jo Kim
Jiefeng Chen
Jinwoo Shin
Sercan Ö. Arık
Tomas Pfister
LLMAG
184
5
0
27 May 2025
AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers
AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers
Zijie Lin
Yiqing Shen
Qilin Cai
He Sun
Jinrui Zhou
Mingjun Xiao
256
9
0
28 Apr 2025
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
Karthik Shivashankar
Ghadi S. Al Hajj
Antonio Martini
297
1
0
15 Apr 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Yi Hu
Jinhang Zuo
Eddie Zhang
Bob Iannucci
Carlee Joe-Wong
223
1
0
13 Apr 2025
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
Moncef Garouani
167
2
0
08 Apr 2025
Hybrid machine learning data assimilation for marine biogeochemistry
Hybrid machine learning data assimilation for marine biogeochemistry
Ieuan Higgs
Ross Bannister
Jozef Skákala
Alberto Carrassi
Stefano Ciavatta
AI4ClAI4CE
232
1
0
07 Apr 2025
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
TingJie Zhang
HaiLin Liu
136
2
0
01 Apr 2025
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
Zhuoqin Yang
Jiansong Zhang
Xiaoling Luo
Zheng Lu
Linlin Shen
MedIm
248
6
0
25 Feb 2025
AIDE: AI-Driven Exploration in the Space of Code
AIDE: AI-Driven Exploration in the Space of Code
Zhengyao Jiang
Dominik Schmidt
Dhruv Srikanth
Dixing Xu
Ian Kaplan
Deniss Jacenko
Yuxiang Wu
300
51
0
18 Feb 2025
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task
  Applications
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
Md Hafizur Rahman
Md. Mashfiq Rizvee
Sumaiya Shomaji
Prabuddha Chakraborty
220
2
0
03 Dec 2024
Large Language Models for Constructing and Optimizing Machine Learning
  Workflows: A Survey
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu
Hengyu You
Jian Cao
Muran Yu
Haoran Fan
Shiyou Qian
LM&MAAI4CE
320
9
0
11 Nov 2024
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect
  Prediction via Automated Machine Learning
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
Jiaxin Chen
Jinliang Ding
Kay Chen Tan
Jiancheng Qian
Ke Li
146
2
0
10 Nov 2024
Can Models Help Us Create Better Models? Evaluating LLMs as Data
  Scientists
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
Michał Pietruszka
Łukasz Borchmann
Aleksander Jędrosz
Paweł Morawiecki
ELM
132
2
0
30 Oct 2024
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
Yizhou Chi
Yizhang Lin
Sirui Hong
Duyi Pan
Yaying Fei
...
Tianqi Pang
Jacky Kwok
Ceyao Zhang
Bang Liu
Chenglin Wu
LLMAG
261
13
0
22 Oct 2024
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
Emphasizing Discriminative Features for Dataset Distillation in Complex ScenariosComputer Vision and Pattern Recognition (CVPR), 2024
Kai Wang
Zekai Li
Zhi-Qi Cheng
Samir Khaki
A. Sajedi
Ramakrishna Vedantam
Konstantinos N. Plataniotis
Alexander G. Hauptmann
Yang You
DD
285
10
0
22 Oct 2024
Automating Data Science Pipelines with Tensor Completion
Automating Data Science Pipelines with Tensor CompletionBigData Congress [Services Society] (BSS), 2024
Shaan Pakala
Bryce Graw
Dawon Ahn
Tam Dinh
Mehnaz Tabassum Mahin
Vassilis Tsotras
Jia Chen
Evangelos E. Papalexakis
139
2
0
08 Oct 2024
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat
Wonyong Jeong
Sung Ju Hwang
LLMAG
302
49
0
03 Oct 2024
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value ImputationProceedings of the VLDB Endowment (PVLDB), 2024
Falaah Arif Khan
Denys Herasymuk
Nazar Protsiv
Julia Stoyanovich
VLM
457
0
0
11 Sep 2024
Maintainability Challenges in ML: A Systematic Literature Review
Maintainability Challenges in ML: A Systematic Literature ReviewEUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), 2022
Karthik Shivashankar
Antonio Martini
131
11
0
17 Aug 2024
Prioritize Alignment in Dataset Distillation
Prioritize Alignment in Dataset Distillation
Zekai Li
Ziyao Guo
Wangbo Zhao
Tianle Zhang
Zhi-Qi Cheng
...
Kaipeng Zhang
A. Sajedi
Konstantinos N Plataniotis
Kai Wang
Yang You
DD
242
5
0
06 Aug 2024
PersonalityScanner: Exploring the Validity of Personality Assessment
  Based on Multimodal Signals in Virtual Reality
PersonalityScanner: Exploring the Validity of Personality Assessment Based on Multimodal Signals in Virtual Reality
Xintong Zhang
Di Lu
Huiqi Hu
Nan Jiang
Xianhao Yu
Jinan Xu
Yujia Peng
Qing Li
Wenjuan Han
144
2
0
29 Jul 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
Difan Deng
Marius Lindauer
AI4TS
229
1
0
07 Jun 2024
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Yoshitaka Inoue
Hunmin Lee
Tianfan Fu
Augustin Luna
257
6
0
14 May 2024
On the Fourier analysis in the SO(3) space : EquiLoPO Network
On the Fourier analysis in the SO(3) space : EquiLoPO Network
Dmitrii Zhemchuzhnikov
Sergei Grudinin
245
0
0
24 Apr 2024
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical
  Vision-Language Models
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
Songtao Jiang
Tuo Zheng
Yan Zhang
Yeying Jin
Li Yuan
Zuozhu Liu
MoE
345
40
0
16 Apr 2024
ILPO-NET: Network for the invariant recognition of arbitrary volumetric
  patterns in 3D
ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D
Dmitrii Zhemchuzhnikov
Sergei Grudinin
232
1
0
28 Mar 2024
Systematic construction of continuous-time neural networks for linear
  dynamical systems
Systematic construction of continuous-time neural networks for linear dynamical systems
Chinmay Datar
Adwait Datar
Felix Dietrich
W. Schilders
AI4TS
171
2
0
24 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 surveyJournal of Information and Intelligence (JII), 2024
A. Mumuni
F. Mumuni
TPM
196
116
0
18 Mar 2024
Multi-conditioned Graph Diffusion for Neural Architecture Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana
Joschua Conrad
Youssef Dawoud
M. Ortmanns
Vasileios Belagiannis
GNNAI4CE
213
12
0
09 Mar 2024
Neural Architecture Search using Particle Swarm and Ant Colony
  Optimization
Neural Architecture Search using Particle Swarm and Ant Colony Optimization
Séamus Lankford
Diarmuid Grimes
77
13
0
06 Mar 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
220
14
0
23 Feb 2024
The Potential of AutoML for Recommender Systems
The Potential of AutoML for Recommender Systems
Tobias Vente
Joeran Beel
100
0
0
06 Feb 2024
X Hacking: The Threat of Misguided AutoML
X Hacking: The Threat of Misguided AutoML
Rahul Sharma
Sergey Redyuk
Sumantrak Mukherjee
Andrea Sipka
Eyke Hüllermeier
Sebastian Vollmer
David Selby
312
4
0
16 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines
DREAM: Debugging and Repairing AutoML PipelinesACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
242
4
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
73
6
0
30 Dec 2023
AutoXPCR: Automated Multi-Objective Model Selection for Time Series
  Forecasting
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Raphael Fischer
Amal Saadallah
191
5
0
20 Dec 2023
Dataset Distillation via Adversarial Prediction Matching
Dataset Distillation via Adversarial Prediction Matching
Yin Hua
Bo Huang
Junda Lu
Bing Li
Yi Wang
Minhao Cheng
Wei Wang
DD
170
6
0
14 Dec 2023
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