International Conference on Machine Learning

Known as: ICML 
The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning, attracting annually… (More)
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Papers overview

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Highly Cited
2015
Highly Cited
2015
▶ A deep adaptation network for learning transferable features ▶ Two important improvements: ▶ Deep adaptation of multiple task… (More)
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Highly Cited
2015
Highly Cited
2015
The ICML 2013 Workshop on Challenges in Representation Learning(1) focused on three challenges: the black box learning challenge… (More)
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Highly Cited
2013
Highly Cited
2013
Recently, fully-connected and convolutional neural networks have been trained to achieve state-of-the-art performance on a wide… (More)
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Highly Cited
2012
Highly Cited
2012
We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it… (More)
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Highly Cited
2010
Highly Cited
2010
One might believe that model-based algorithms of reinforcement learning can propagate the obtained experience more quickly, and… (More)
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Highly Cited
2008
Highly Cited
2008
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical… (More)
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Highly Cited
2006
Highly Cited
2006
Most previous works of feature selection emphasized only the reduction of high dimensionality of the feature space. But in cases… (More)
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Highly Cited
1997
Highly Cited
1997
This paper presents a set of methods by which a learning agent can learn a sequence of increasingly abstract and powerful… (More)
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1993
1993
■ The Ninth International Conference on Machine Learning was held in Aberdeen, Scotland, from 1–3 July 1992, with 198… (More)
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Review
1989
Review
1989
one type of learning. In addition, papers covered machine discovery, formal models of concept learning, experimental results in… (More)
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