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Winning solutions and post-challenge analyses of the ChaLearn AutoDL
  challenge 2019

Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019

11 January 2022
Zhengying Liu
Adrien Pavao
Zhen Xu
Sergio Escalera
Fabio Ferreira
Isabelle M Guyon
Sirui Hong
Frank Hutter
Rongrong Ji
Julio C. S. Jacques Junior
Ge Li
Marius Lindauer
Zhipeng Luo
Meysam Madadi
Thomas Nierhoff
Kangning Niu
Chunguang Pan
Daniel Stoll
Sébastien Treguer
Jin Wang
Peng Wang
Chenglin Wu
Youcheng Xiong
Arber Zela
Yang Zhang
    AAML
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Papers citing "Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019"

20 / 20 papers shown
Title
FAIR Universe HiggsML Uncertainty Challenge Competition
FAIR Universe HiggsML Uncertainty Challenge Competition
W. Bhimji
P. Calafiura
Ragansu Chakkappai
Yuan-Tang Chou
S. Diefenbacher
...
D. Rousseau
Benjamin Sluijter
Benjamin Thorne
Ihsan Ullah
Yulei Zhang
32
2
0
03 Oct 2024
Data Interpreter: An LLM Agent For Data Science
Data Interpreter: An LLM Agent For Data Science
Sirui Hong
Yizhang Lin
Bang Liu
Bangbang Liu
Binhao Wu
...
Xinbing Liang
Yaying Fei
Yuheng Cheng
Zongze Xu
Chenglin Wu
LLMAG
AI4CE
47
61
0
28 Feb 2024
Challenge design roadmap
Challenge design roadmap
Hugo Jair Escalante
Isabelle M Guyon
Addison Howard
Walter Reade
Sébastien Treguer
AI4TS
18
0
0
15 Jan 2024
Academic competitions
Academic competitions
H. J. Escalante
Aleksandra Kruchinina
AI4CE
24
0
0
01 Dec 2023
Machine learning's own Industrial Revolution
Machine learning's own Industrial Revolution
Yuan Luo
Song Han
Jingjing Liu
AI4CE
16
0
0
04 Nov 2023
Variational Boosted Soft Trees
Variational Boosted Soft Trees
Tristan Cinquin
Tammo Rukat
Philipp Schmidt
Martin Wistuba
Artur Bekasov
BDL
UQCV
14
0
0
21 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
22
32
0
16 Feb 2023
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Arjun Krishnakumar
Colin White
Arber Zela
Renbo Tu
Mahmoud Safari
Frank Hutter
34
40
0
06 Oct 2022
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
Dustin Carrión-Ojeda
Hong Chen
Adrian El Baz
Sergio Escalera
Chaoyu Guan
Isabelle M Guyon
I. Ullah
Xin Eric Wang
Wenwu Zhu
VLM
15
6
0
31 Aug 2022
Task Selection for AutoML System Evaluation
Task Selection for AutoML System Evaluation
Jon Lorraine
Nihesh Anderson
Chansoo Lee
Quentin de Laroussilhe
Mehadi Hassen
38
4
0
26 Aug 2022
Meta-learning from Learning Curves Challenge: Lessons learned from the
  First Round and Design of the Second Round
Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round
Manh Hung Nguyen
Lisheng Sun
Nathan Grinsztajn
Isabelle M Guyon
26
1
0
04 Aug 2022
Asynchronous Decentralized Bayesian Optimization for Large Scale
  Hyperparameter Optimization
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
Romain Egele
Isabelle M Guyon
V. Vishwanath
Prasanna Balaprakash
BDL
11
5
0
01 Jul 2022
Zero-Shot AutoML with Pretrained Models
Zero-Shot AutoML with Pretrained Models
Ekrem Öztürk
Fabio Ferreira
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
Frank Hutter
VLM
20
8
0
16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone
  fine-tuning without episodic meta-learning dominates for few-shot learning
  image classification
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Adrian El Baz
Ihsan Ullah
Edesio Alcobaça
André C. P. L. F. de Carvalho
Hong Chen
...
Ekrem Öztürk
J. V. Rijn
Haozhe Sun
Xin Wang
Wenwu Zhu
30
12
0
15 Jun 2022
Advances in MetaDL: AAAI 2021 challenge and workshop
Advances in MetaDL: AAAI 2021 challenge and workshop
Adrian El Baz
Isabelle M Guyon
Zhengying Liu
J. V. Rijn
Sébastien Treguer
Joaquin Vanschoren
16
7
0
01 Feb 2022
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
30
100
0
14 Sep 2021
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
214
2,233
0
14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,677
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,360
0
25 Aug 2014
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