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Inductive bias

Known as: Learning bias 
The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs given… Expand
Wikipedia

Papers overview

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2018
2018
While current deep learning systems excel at tasks such as object classification, language processing, and gameplay, few can… Expand
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Highly Cited
2017
Highly Cited
2017
We present Deeply Supervised Object Detector (DSOD), a framework that can learn object detectors from scratch. State-of-the-art… Expand
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2017
2017
Our formal understanding of the inductive bias that drives the success of convolutional networks on computer vision tasks is… Expand
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Highly Cited
2015
Highly Cited
2015
We present experiments demonstrating that some other form of capacity control, different from network size, plays a central role… Expand
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Highly Cited
2000
Highly Cited
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large… Expand
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Highly Cited
1997
Highly Cited
1997
We study task sequences that allow for speeding up the learner's average reward intake through appropriate shifts of inductive… Expand
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Highly Cited
1995
Highly Cited
1995
Many engineering problems may be described as a search for one near optimal description amongst many possibilities, given certain… Expand
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Highly Cited
1995
Highly Cited
1995
This paper extends the currently accepted model of inductive bias by identifying six categories of bias and separates inductive… Expand
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Highly Cited
1993
Highly Cited
1993
This paper suggests that it may be easier to learn several hard tasks at one time than to learn these same tasks separately. In… Expand
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Highly Cited
1988
Highly Cited
1988
Abstract We show that the notion of inductive bias in concept learning can be quantified in a way that directly relates to… Expand
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