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VEGA: Towards an End-to-End Configurable AutoML Pipeline
v1v2v3v4 (latest)

VEGA: Towards an End-to-End Configurable AutoML Pipeline

3 November 2020
Bochao Wang
Hang Xu
Jiajin Zhang
Chong Chen
Xiaozhi Fang
Yixing Xu
Ning Kang
Lanqing Hong
Chenhan Jiang
Xinyue Cai
Jiawei Li
Fengwei Zhou
Yong Li
Zhicheng Liu
Xinghao Chen
Kai Han
Han Shu
Dehua Song
Yunhe Wang
Wei Zhang
Chunjing Xu
Zhenguo Li
Wenzhi Liu
Tong Zhang
ArXiv (abs)PDFHTMLGithub (850★)

Papers citing "VEGA: Towards an End-to-End Configurable AutoML Pipeline"

5 / 5 papers shown
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
338
17
0
23 Feb 2024
PLiNIO: A User-Friendly Library of Gradient-based Methods for
  Complexity-aware DNN Optimization
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN OptimizationForum on Specification and Design Languages (FDL), 2023
Daniele Jahier Pagliari
Matteo Risso
Beatrice Alessandra Motetti
Luca Bompani
331
11
0
18 Jul 2023
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 WorkInternational Conference on Human Factors in Computing Systems (CHI), 2023
Jennifer Rogers
Anamaria Crisan
236
13
0
05 Apr 2023
Generalizing Few-Shot NAS with Gradient Matching
Generalizing Few-Shot NAS with Gradient MatchingInternational Conference on Learning Representations (ICLR), 2022
Shou-Yong Hu
Ruochen Wang
Lanqing Hong
Zhenguo Li
Cho-Jui Hsieh
Jiashi Feng
229
26
0
29 Mar 2022
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-ArtKnowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
913
1,740
0
02 Aug 2019
1
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