Challenges in representation learning: A report on three machine learning contests

Ian J. Goodfellow; Dumitru Erhan; Pierre Luc Carrier; Aaron Courville; Mehdi Mirza; Ben Hamner; Will Cukierski; Yichuan Tang; David Thaler; Dong Hyun Lee; Yingbo Zhou; Chetan Ramaiah; Fangxiang Feng; Ruifan Li; Xiaojie Wang; Dimitris Athanasakis; John Shawe-Taylor; Maxim Milakov; John Park; Radu Ionescu; Marius Popescu; Cristian Grozea; James Bergstra; Jingjing Xie; Lukasz Romaszko; Bing Xu; Zhang Chuang; Yoshua Bengio

doi:10.1007/978-3-642-42051-1_16

Challenges in representation learning: A report on three machine learning contests

Ian J. Goodfellow
, Dumitru Erhan
, Pierre Luc Carrier
, Aaron Courville
, Mehdi Mirza
, Ben Hamner
, Will Cukierski
, Yichuan Tang
, David Thaler
, Dong Hyun Lee
, Yingbo Zhou
, Chetan Ramaiah
, Fangxiang Feng
, Ruifan Li
, Xiaojie Wang
, Dimitris Athanasakis
, John Shawe-Taylor
, Maxim Milakov
, John Park
, Radu Ionescu

Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

Faculty of Computing

University of Montreal
Alphabet Inc.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1308 Scopus citations

Abstract

The ICML 2013 Workshop on Challenges in Representation Learning¹ focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.

Original language	English
Title of host publication	Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
Pages	117-124
Number of pages	8
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-42051-1_16
State	Published - 2013
Event	20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, Korea, Republic of Duration: 3 Nov 2013 → 7 Nov 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	8228 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Neural Information Processing, ICONIP 2013
Country/Territory	Korea, Republic of
City	Daegu
Period	3/11/13 → 7/11/13

Keywords

Competition
Dataset
Representation learning

Access to Document

10.1007/978-3-642-42051-1_16

Cite this

Goodfellow, I. J., Erhan, D., Carrier, P. L., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D. H., Zhou, Y., Ramaiah, C., Feng, F., Li, R., Wang, X., Athanasakis, D., Shawe-Taylor, J., Milakov, M., Park, J., ... Bengio, Y. (2013). Challenges in representation learning: A report on three machine learning contests. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings (PART 3 ed., pp. 117-124). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8228 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-42051-1_16

Goodfellow, Ian J. ; Erhan, Dumitru ; Carrier, Pierre Luc et al. / Challenges in representation learning : A report on three machine learning contests. Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 3. ed. 2013. pp. 117-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{27a6df7f38e04f59b8d8056e25605794,

title = "Challenges in representation learning: A report on three machine learning contests",

abstract = "The ICML 2013 Workshop on Challenges in Representation Learning1 focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.",

keywords = "Competition, Dataset, Representation learning",

author = "Goodfellow, \{Ian J.\} and Dumitru Erhan and Carrier, \{Pierre Luc\} and Aaron Courville and Mehdi Mirza and Ben Hamner and Will Cukierski and Yichuan Tang and David Thaler and Lee, \{Dong Hyun\} and Yingbo Zhou and Chetan Ramaiah and Fangxiang Feng and Ruifan Li and Xiaojie Wang and Dimitris Athanasakis and John Shawe-Taylor and Maxim Milakov and John Park and Radu Ionescu and Marius Popescu and Cristian Grozea and James Bergstra and Jingjing Xie and Lukasz Romaszko and Bing Xu and Zhang Chuang and Yoshua Bengio",

year = "2013",

doi = "10.1007/978-3-642-42051-1\_16",

language = "英语",

isbn = "9783642420504",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 3",

pages = "117--124",

booktitle = "Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings",

edition = "PART 3",

note = "20th International Conference on Neural Information Processing, ICONIP 2013 ; Conference date: 03-11-2013 Through 07-11-2013",

}

Goodfellow, IJ, Erhan, D, Carrier, PL, Courville, A, Mirza, M, Hamner, B, Cukierski, W, Tang, Y, Thaler, D, Lee, DH, Zhou, Y, Ramaiah, C, Feng, F, Li, R, Wang, X, Athanasakis, D, Shawe-Taylor, J, Milakov, M, Park, J, Ionescu, R, Popescu, M, Grozea, C, Bergstra, J, Xie, J, Romaszko, L, Xu, B, Chuang, Z & Bengio, Y 2013, Challenges in representation learning: A report on three machine learning contests. in Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8228 LNCS, pp. 117-124, 20th International Conference on Neural Information Processing, ICONIP 2013, Daegu, Korea, Republic of, 3/11/13. https://doi.org/10.1007/978-3-642-42051-1_16

Challenges in representation learning: A report on three machine learning contests. / Goodfellow, Ian J.; Erhan, Dumitru; Carrier, Pierre Luc et al.
Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 3. ed. 2013. p. 117-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8228 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Challenges in representation learning

T2 - 20th International Conference on Neural Information Processing, ICONIP 2013

AU - Goodfellow, Ian J.

AU - Erhan, Dumitru

AU - Carrier, Pierre Luc

AU - Courville, Aaron

AU - Mirza, Mehdi

AU - Hamner, Ben

AU - Cukierski, Will

AU - Tang, Yichuan

AU - Thaler, David

AU - Lee, Dong Hyun

AU - Zhou, Yingbo

AU - Ramaiah, Chetan

AU - Feng, Fangxiang

AU - Li, Ruifan

AU - Wang, Xiaojie

AU - Athanasakis, Dimitris

AU - Shawe-Taylor, John

AU - Milakov, Maxim

AU - Park, John

AU - Ionescu, Radu

AU - Popescu, Marius

AU - Grozea, Cristian

AU - Bergstra, James

AU - Xie, Jingjing

AU - Romaszko, Lukasz

AU - Xu, Bing

AU - Chuang, Zhang

AU - Bengio, Yoshua

PY - 2013

Y1 - 2013

N2 - The ICML 2013 Workshop on Challenges in Representation Learning1 focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.

AB - The ICML 2013 Workshop on Challenges in Representation Learning1 focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.

KW - Competition

KW - Dataset

KW - Representation learning

UR - https://www.scopus.com/pages/publications/84893416950

U2 - 10.1007/978-3-642-42051-1_16

DO - 10.1007/978-3-642-42051-1_16

M3 - 会议稿件

AN - SCOPUS:84893416950

SN - 9783642420504

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 117

EP - 124

BT - Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings

Y2 - 3 November 2013 through 7 November 2013

ER -

Goodfellow IJ, Erhan D, Carrier PL, Courville A, Mirza M, Hamner B et al. Challenges in representation learning: A report on three machine learning contests. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 3 ed. 2013. p. 117-124. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-42051-1_16

Challenges in representation learning: A report on three machine learning contests

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Keywords

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