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Solving Mixed Integer Programs Using Neural Networks
Mixed Integer Programming (MIP) solvers rely on an array of sophisticate...
12/23/2020 ∙ by Vinod Nair, et al. ∙
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Meta-Learning Deep Energy-Based Memory Models
We study the problem of learning associative memory – a system which is ...
10/07/2019 ∙ by Sergey Bartunov, et al. ∙
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Meta-Learning Neural Bloom Filters
There has been a recent trend in training neural networks to replace dat...
06/10/2019 ∙ by Jack W Rae, et al. ∙
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Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
The backpropagation of error algorithm (BP) is often said to be impossib...
07/12/2018 ∙ by Sergey Bartunov, et al. ∙
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Adaptive Cardinality Estimation
In this paper we address cardinality estimation problem which is an impo...
11/22/2017 ∙ by Oleg Ivanov, et al. ∙
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StarCraft II: A New Challenge for Reinforcement Learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...
08/16/2017 ∙ by Oriol Vinyals, et al. ∙
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Breaking Sticks and Ambiguities with Adaptive Skip-gram
Recently proposed Skip-gram model is a powerful method for learning high...
02/25/2015 ∙ by Sergey Bartunov, et al. ∙
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