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DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement
  Learning and Hierarchical Actions Filtering

DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering

31 October 2019
Yuval Heffetz
Roman Vainshtein
Gilad Katz
Lior Rokach
ArXivPDFHTML

Papers citing "DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering"

12 / 12 papers shown
Title
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
Joana Simões
João Correia
215
0
0
06 Mar 2025
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning
Yousef Koka
David Selby
Gerrit Großmann
Sebastian Vollmer
AI4TS
81
0
0
06 Feb 2025
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
Meihao Fan
Ju Fan
Nan Tang
Lei Cao
Guoliang Li
Xiaoyong Du
LMTD
123
0
0
10 Dec 2024
Grammar-based evolutionary approach for automated workflow composition
  with domain-specific operators and ensemble diversity
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
Rafael Barbudo
Aurora Ramírez
José Raúl Romero
18
0
0
03 Feb 2024
Tracing and Visualizing Human-ML/AI Collaborative Processes through
  Artifacts of Data Work
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers
Anamaria Crisan
29
7
0
05 Apr 2023
Towards Personalized Preprocessing Pipeline Search
Towards Personalized Preprocessing Pipeline Search
Diego Martinez
Daochen Zha
Qiaoyu Tan
Xia Hu
AI4TS
31
2
0
28 Feb 2023
Data-centric AI: Perspectives and Challenges
Data-centric AI: Perspectives and Challenges
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Xia Hu
25
67
0
12 Jan 2023
A Survey on Deep Reinforcement Learning for Data Processing and
  Analytics
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
OffRL
21
29
0
10 Aug 2021
Automated Evolutionary Approach for the Design of Composite Machine
  Learning Pipelines
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines
Nikolay O. Nikitin
Pavel Vychuzhanin
M. Sarafanov
Iana S. Polonskaia
I. Revin
Irina V. Barabanova
G. Maximov
Anna V. Kaluzhnaya
A. Boukhanovsky
21
55
0
26 Jun 2021
Multi-Objective Evolutionary Design of Composite Data-Driven Models
Multi-Objective Evolutionary Design of Composite Data-Driven Models
Iana S. Polonskaia
Nikolay O. Nikitin
I. Revin
Pavel Vychuzhanin
Anna V. Kaluzhnaya
14
9
0
01 Mar 2021
Ensemble Squared: A Meta AutoML System
Ensemble Squared: A Meta AutoML System
Jason Yoo
Tony Joseph
Dylan Yung
S. Nasseri
Frank Wood
MoE
27
8
0
10 Dec 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
Matthias Feurer
Katharina Eggensperger
Stefan Falkner
Marius Lindauer
Frank Hutter
35
266
0
08 Jul 2020
1