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A Survey of Reinforcement Learning Informed by Natural Language
To be successful in real-world tasks, Reinforcement Learning (RL) needs ...
06/10/2019 ∙ by Jelena Luketina, et al. ∙
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An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
This paper introduces a new learning-based approach for approximately so...
06/04/2019 ∙ by Chaitanya K. Joshi, et al. ∙ 46
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Learning Causal State Representations of Partially Observable Environments
Intelligent agents can cope with sensory-rich environments by learning t...
06/25/2019 ∙ by Amy Zhang, et al. ∙ 44
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(1 + ε)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets
Anomaly detection is not an easy problem since distribution of anomalous...
06/14/2019 ∙ by Maxim Borisyak, et al. ∙ 32
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Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction
Scene graph prediction --- classifying the set of objects and predicates...
06/12/2019 ∙ by Apoorva Dornadula, et al. ∙ 29
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Learning Sparse Networks Using Targeted Dropout
Neural networks are easier to optimise when they have many more weights ...
05/31/2019 ∙ by Aidan N. Gomez, et al. ∙ 26
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EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26
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Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Combinatorial optimization problems are typically tackled by the branch-...
06/04/2019 ∙ by Maxime Gasse, et al. ∙ 25
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
We present the first comprehensive study on automatic knowledge base con...
06/12/2019 ∙ by Antoine Bosselut, et al. ∙ 25
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Practical Deep Learning with Bayesian Principles
Bayesian methods promise to fix many shortcomings of deep learning, but ...
06/06/2019 ∙ by Kazuki Osawa, et al. ∙ 23
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Inverting Deep Generative models, One layer at a time
We study the problem of inverting a deep generative model with ReLU acti...
06/18/2019 ∙ by Qi Lei, et al. ∙ 23
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