M
Maxim Milakov
Researcher at Université de Montréal
Publications - 4
Citations - 1834
Maxim Milakov is an academic researcher from Université de Montréal. The author has contributed to research in topics: Multimodal learning & Feature learning. The author has an hindex of 4, co-authored 4 publications receiving 1261 citations.
Papers
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Book ChapterDOI
Challenges in Representation Learning: A Report on Three Machine Learning Contests
Ian Goodfellow,Dumitru Erhan,Pierre Luc Carrier,Aaron Courville,Mehdi Mirza,Ben Hamner,William 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 +27 more
TL;DR: The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge.
Posted Content
Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow,Dumitru Erhan,Pierre Luc Carrier,Aaron Courville,Mehdi Mirza,Ben Hamner,William 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 +27 more
TL;DR: The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge as mentioned in this paper.
Journal ArticleDOI
Challenges in representation learning
Ian Goodfellow,Dumitru Erhan,Pierre Luc Carrier,Aaron Courville,Mehdi Mirza,Ben Hamner,William 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 +27 more
TL;DR: The datasets created for these challenges are described, the results of the competitions are summarized, and some comments are provided on what kind of knowledge can be gained from machine learning competitions.
Proceedings ArticleDOI
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment
Forrest Briggs,Yonghong Huang,Raviv Raich,Konstantinos Eftaxias,Zhong Lei,William Cukierski,Sarah Frey Hadley,Adam S. Hadley,Matthew G. Betts,Xiaoli Z. Fern,Jed Irvine,Lawrence Neal,Anil Thomas,Gabor Fodor,Grigorios Tsoumakas,Hong-Wei Ng,Thi Ngoc Tho Nguyen,Heikki Huttunen,Pekka Ruusuvuori,Tapio Manninen,Aleksandr Diment,Tuomas Virtanen,Julien Marzat,Joseph Defretin,David R. Callender,Chris Hurlburt,Ken Larrey,Maxim Milakov +27 more
TL;DR: It is an open problem for signal processing and machine learning to reliably identify bird sounds in real-world audio data collected in an acoustic monitoring scenario.