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2012.08483
Cited By
Amazon SageMaker Autopilot: a white box AutoML solution at scale
15 December 2020
Piali Das
Laurence Rouesnel
Nikita Ivkin
Tanya Bansal
Zohar Karnin
Huibin Shen
I. Shcherbatyi
L. Ramakrishnan
Wilton Wu
Aida Zolic
P. Gautier
Alex Tang
Amr Ahmed
Jean Baptiste Faddoul
Rodolphe Jenatton
Fela Winkelmolen
P. Grao
Leo Dirac
Andre Perunicic
Miroslav Miladinovic
Giovanni Zappella
Cedric Archembeau
Matthias Seeger
Bhaskar Dutt
K. Venkateswar
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Papers citing
"Amazon SageMaker Autopilot: a white box AutoML solution at scale"
24 / 24 papers shown
Title
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
60
0
0
28 Apr 2025
FLStore: Efficient Federated Learning Storage for non-training workloads
Ahmad Faraz Khan
Samuel Fountain
Ahmed M. Abdelmoniem
A. R. Butt
A. Anwar
FedML
48
0
0
01 Mar 2025
Feedback-driven object detection and iterative model improvement
Sönke Tenckhoff
Mario Koddenbrock
Erik Rodner
ObjD
VLM
84
0
0
29 Nov 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
46
48
0
18 Mar 2024
Institutional Platform for Secure Self-Service Large Language Model Exploration
V. Bumgardner
Mitchell A. Klusty
W. V. Logan
Samuel E. Armstrong
Caylin D. Hickey
Jeff Talbert
Caylin Hickey
Jeff Talbert
58
1
0
01 Feb 2024
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
28
0
0
22 Dec 2023
A knowledge-driven AutoML architecture
C. Cofaru
Johan Loeckx
26
0
0
28 Nov 2023
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Alexander Isenko
R. Mayer
Hans-Arno Jacobsen
19
7
0
05 Jun 2023
Clustering Indices based Automatic Classification Model Selection
Sudarsun Santhiappan
N. Shravan
B. Ravindran
24
0
0
23 May 2023
AutoDOViz: Human-Centered Automation for Decision Optimization
D. Weidele
S. Afzal
Abel N. Valente
Cole Makuch
Owen Cornec
...
Radu Marinescu
Paulito Palmes
Elizabeth M. Daly
Loraine Franke
D. Haehn
OffRL
43
4
0
19 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
24
2
0
09 Feb 2023
Deep Active Learning for Computer Vision: Past and Future
Rinyoichi Takezoe
Xu Liu
Shunan Mao
Marco Tianyu Chen
Zhanpeng Feng
Shiliang Zhang
Xiaoyu Wang
VLM
41
19
0
27 Nov 2022
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen
Chi Wang
A. Saied
Rui Zhuang
19
2
0
04 Aug 2022
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
Yizheng Huang
Huaizheng Zhang
Yuanming Li
C. Lau
Yang You
19
2
0
19 Jul 2022
On Efficient Approximate Queries over Machine Learning Models
Dujian Ding
S. Amer-Yahia
L. Lakshmanan
19
5
0
06 Jun 2022
3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
Omar Alfarisi
Z. Aung
Qingfeng Huang
Ashraf Al-Khateeb
Hamed Alhashmi
M. Abdelsalam
S. Alzaabi
Haifa Alyazeedi
Anthony Tzes
11
1
0
23 Mar 2022
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
Marc-André Zöller
Waldemar Titov
T. Schlegel
Marco F. Huber
HAI
11
9
0
24 Feb 2022
Mining Robust Default Configurations for Resource-constrained AutoML
Moe Kayali
Chi Wang
11
3
0
20 Feb 2022
A Simple and Fast Baseline for Tuning Large XGBoost Models
Sanyam Kapoor
Valerio Perrone
24
8
0
12 Nov 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem
Anton Vakhrushev
A. Ryzhkov
M. Savchenko
Dmitry Simakov
Rinchin Damdinov
Alexander Tuzhilin
17
33
0
03 Sep 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Valerio Perrone
Huibin Shen
Aida Zolic
I. Shcherbatyi
Amr Ahmed
...
Barbara Pogorzelska
Miroslav Miladinovic
K. Kenthapadi
Matthias Seeger
Cédric Archambeau
28
16
0
15 Dec 2020
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment
Yu Wang
Shu Jiang
Weiman Lin
Yu Cao
Longtao Lin
Jiangtao Hu
Jinghao Miao
Qi Luo
16
3
0
09 Nov 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
607
0
13 Mar 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Dakuo Wang
Justin D. Weisz
Michael J. Muller
Parikshit Ram
Werner Geyer
Casey Dugan
Y. Tausczik
Horst Samulowitz
Alexander G. Gray
178
308
0
05 Sep 2019
1