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Auto-Keras: An Efficient Neural Architecture Search System
Knowledge Discovery and Data Mining (KDD), 2018
27 June 2018
Haifeng Jin
Qingquan Song
Helen Zhou
Re-assign community
ArXiv (abs)
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Papers citing
"Auto-Keras: An Efficient Neural Architecture Search System"
50 / 230 papers shown
Dataset Distillation via Adversarial Prediction Matching
Yin Hua
Bo Huang
Junda Lu
Bing Li
Yi Wang
Minhao Cheng
Wei Wang
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216
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Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint
Ael Quélennec
Enzo Tartaglione
Pavlo Mozharovskyi
Van-Tam Nguyen
256
7
0
08 Dec 2023
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
Ijazul Haq
Byung Suk Lee
Donna M. Rizzo
AI4TS
307
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29 Nov 2023
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks
Assaf Shmuel
Oren Glickman
Teddy Lazebnik
347
18
0
10 Nov 2023
Sequential Subset Matching for Dataset Distillation
Neural Information Processing Systems (NeurIPS), 2023
Jiawei Du
Qin Shi
Qiufeng Wang
DD
258
39
0
02 Nov 2023
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification
International Conference on Agents and Artificial Intelligence (ICAART), 2023
Pervaiz Iqbal Khan
Andreas Dengel
Sheraz Ahmed
MedIm
174
3
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31 Oct 2023
Lightweight Knowledge Representations for Automating Data Analysis
Marko Sterbentz
Cameron Barrie
Donna Hooshmand
Shubham Shahi
Abhratanu Dutta
Harper Pack
Andong Luis Li Zhao
Andrew R. Paley
Alexander Einarsson
Kristian J. Hammond
106
0
0
15 Oct 2023
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone
Machine Learning with Applications (MLWA), 2023
Ijazul Haq
Byung Suk Lee
Donna M. Rizzo
J. Perdrial
AI4TS
278
5
0
14 Sep 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search
European Conference on Artificial Intelligence (ECAI), 2023
A. Chebykin
A. Dushatskiy
Tanja Alderliesten
Peter A. N. Bosman
300
1
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28 Jul 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML
Giang Nguyen
Sumon Biswas
Hridesh Rajan
FaML
365
19
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15 Jun 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede
Difan Deng
Theresa Eimer
Joseph Giovanelli
Aditya Mohan
...
Sarah Segel
Daphne Theodorakopoulos
Tanja Tornede
Henning Wachsmuth
Marius Lindauer
332
36
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13 Jun 2023
Deep Learning with Partially Labeled Data for Radio Map Reconstruction
Alkesandra Malkova
Massih-Reza Amini
B. Denis
C. Villien
191
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07 Jun 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation
The Web Conference (WWW), 2023
Shiguang Wu
Yaqing Wang
Qinghe Jing
Daxiang Dong
Dejing Dou
Quanming Yao
130
16
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06 Jun 2023
CNN-based IoT Device Identification: A Comparative Study on Payload vs. Fingerprint
Kahraman Kostas
80
1
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27 Apr 2023
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
ACM Computing Surveys (ACM Comput. Surv.), 2023
Alexandre Heuillet
A. Nasser
Hichem Arioui
Hedi Tabia
AI4CE
342
28
0
11 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
International Conference on Human Factors in Computing Systems (CHI), 2023
Jennifer Rogers
Anamaria Crisan
200
9
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05 Apr 2023
Deep-BIAS: Detecting Structural Bias using Explainable AI
Bas van Stein
Diederick Vermetten
Fabio Caraffini
Anna V. Kononova
94
12
0
04 Apr 2023
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2023
Maria Laura Santoni
Elena Raponi
R. De Leone
Carola Doerr
221
34
0
02 Mar 2023
AutoDOViz: Human-Centered Automation for Decision Optimization
International Conference on Intelligent User Interfaces (IUI), 2023
D. Weidele
S. Afzal
Abel N. Valente
Cole Makuch
Owen Cornec
...
Radu Marinescu
Paulito Palmes
Elizabeth M. Daly
Loraine Franke
D. Haehn
OffRL
171
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19 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
271
328
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19 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yan Zhao
Yu Shen
Xinyi Zhang
Wentao Zhang
Tengjiao Wang
BDL
235
47
0
12 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
International Conference on Human Factors in Computing Systems (CHI), 2023
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
280
31
0
02 Feb 2023
BOMP-NAS: Bayesian Optimization Mixed Precision NAS
Design, Automation and Test in Europe (DATE), 2023
David van Son
F. D. Putter
Sebastian Vogel
Henk Corporaal
MQ
149
5
0
27 Jan 2023
Neural Architecture Search: Insights from 1000 Papers
Colin White
Mahmoud Safari
R. Sukthanker
Binxin Ru
T. Elsken
Arber Zela
Debadeepta Dey
Katharina Eggensperger
3DV
AI4CE
423
195
0
20 Jan 2023
DQNAS: Neural Architecture Search using Reinforcement Learning
Anshumaan Chauhan
S. Bhattacharyya
S. Vadivel
OOD
103
6
0
17 Jan 2023
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search
F. Charte
Antonio J. Rivera
F. Martínez
M. J. D. Jesus
130
15
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15 Jan 2023
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search
International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022
Hadar Shavit
Filip Jatelnicki
Pol Mor-Puigventós
W. Kowalczyk
164
3
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16 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
222
16
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13 Dec 2022
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Journal of Computational Science and Technology (JCST), 2022
Jiangsu Du
Dongsheng Li
Yingpeng Wen
Jiazhi Jiang
Dan Huang
Xia Liao
Yutong Lu
182
4
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07 Dec 2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
Computer Vision and Pattern Recognition (CVPR), 2022
Jiawei Du
Yiding Jiang
Vincent Y. F. Tan
Qiufeng Wang
Haizhou Li
DD
257
155
0
20 Nov 2022
MEESO: A Multi-objective End-to-End Self-Optimized Approach for Automatically Building Deep Learning Models
Thanh-Phuong Pham
161
0
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20 Nov 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Aditya Manglik
Minesh Patel
Haiyu Mao
Behzad Salami
Mohammad Sadrosadati
Lois Orosa
O. Mutlu
243
1
0
10 Nov 2022
Which is the best model for my data?
Gonzalo Nápoles
Isel Grau
Çiçek Güven
Orçun Özdemir
Yamisleydi Salgueiro
110
1
0
26 Oct 2022
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search
Slawomir Kierat
Mateusz Sieniawski
Denys Fridman
Chendi Yu
Szymon Migacz
Pawel M. Morkisz
A. Fit-Florea
3DPC
201
0
0
23 Sep 2022
Improving the Performance of DNN-based Software Services using Automated Layer Caching
M. Abedi
Yanni Iouannou
Pooyan Jamshidi
Hadi Hemmati
143
0
0
18 Sep 2022
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Engineering applications of artificial intelligence (EAAI), 2022
Li Yang
Abdallah Shami
220
75
0
16 Sep 2022
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images
International Conference on Image, Video and Signal Processing (ICIVSP), 2022
Pierrick Pochelu
Clara Erard
Philippe Cordier
S. Petiton
B. Conche
117
4
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30 Aug 2022
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters
International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia), 2022
Pierrick Pochelu
S. Petiton
B. Conche
AI4CE
216
6
0
30 Aug 2022
An Empirical Study on the Usage of Automated Machine Learning Tools
IEEE International Conference on Software Maintenance and Evolution (ICSME), 2022
Forough Majidi
Moses Openja
Foutse Khomh
Heng Li
214
17
0
28 Aug 2022
Task Selection for AutoML System Evaluation
Jon Lorraine
Nihesh Anderson
Chansoo Lee
Quentin de Laroussilhe
Mehadi Hassen
161
5
0
26 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions
Nicholas Hoell
152
0
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24 Aug 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
International Conference on Information and Knowledge Management (CIKM), 2022
H. Chen
Yunqi Li
He Zhu
Zelong Li
235
6
0
23 Aug 2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
ACM Computing Surveys (ACM CSUR), 2022
Nan Li
Lianbo Ma
Guo-Ding Yu
Bing Xue
Mengjie Zhang
Yaochu Jin
193
99
0
23 Aug 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Jun Yuan
Mengchen Liu
Fengyuan Tian
Shixia Liu
192
13
0
20 Aug 2022
Neural network accelerator for quantum control
David Xu
A. B. Özgüler
G. D. Guglielmo
Nhan Tran
G. Perdue
L. Carloni
F. Fahim
229
10
0
04 Aug 2022
AMLB: an AutoML Benchmark
Pieter Gijsbers
Marcos L. P. Bueno
Stefan Coors
E. LeDell
Sébastien Poirier
Janek Thomas
J. Herbinger
Joaquin Vanschoren
270
83
0
25 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
174
2
0
21 Jul 2022
Automated machine learning for borehole resistivity measurements
Geophysical Journal International (GJI), 2022
M. Shahriari
David Pardo
S. Kargaran
T. Teijeiro
AI4CE
116
4
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20 Jul 2022
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics
Suman Sapkota
Binod Bhattarai
161
3
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10 Jul 2022
Explaining Neural Networks without Access to Training Data
Machine-mediated learning (ML), 2022
Sascha Marton
Stefan Lüdtke
Christian Bartelt
Andrej Tschalzev
Heiner Stuckenschmidt
FAtt
105
4
0
10 Jun 2022
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