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02/12/2020
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Branch and Bound (B B) is the exact tree search method typically used ...
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04/22/2019
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Standard methods in deep learning for natural language processing fail t...
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06/18/2018
Modularity Matters: Learning Invariant Relational Reasoning Tasks
We focus on two supervised visual reasoning tasks whose labels encode a ...
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12/17/2017
Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study
Deep Neural Networks (DNNs) are very popular these days, and are the sub...
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11/30/2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Deep CNNs are known to exhibit the following peculiarity: on the one han...
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12/31/2014