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Griddly: A platform for AI research in games


Authors:  ChrisBamford, ShengyiHuang, SimonLucas....
Published date-11/12/2020

Abstract: In recent years, there have been immense breakthroughs in Game AI research, particularly with Reinforcement Learning (RL). Despite their success, the underlying games are usually implemented with their own preset …

Towards NNGP-guided Neural Architecture Search


Authors:  DanielS.Park, JaehoonLee, DaiyiPeng....
Published date-11/11/2020
Tasks:  NeuralArchitectureSearch

Abstract: The predictions of wide Bayesian neural networks are described by a Gaussian process, known as the Neural Network Gaussian Process (NNGP). Analytic forms for NNGP kernels are known for many …

Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients


Authors:  HuahuanZheng, KeyuAn, ZhijianOu....
Published date-11/11/2020
Tasks:  End-To-EndSpeechRecognition, GraphSampling, NeuralArchitectureSearch, SpeechRecognition

Abstract: Neural Architecture Search (NAS), the process of automating architecture engineering, is an appealing next step to advancing end-to-end Automatic Speech Recognition (ASR), replacing expert-designed networks with learned, task-specific architectures. In …

Differentially Private Synthetic Data: Applied Evaluations and Enhancements


Authors:  LucasRosenblatt, XiaoyanLiu, SamiraPouyanfar....
Published date-11/11/2020

Abstract: Machine learning practitioners frequently seek to leverage the most informative available data, without violating the data owner's privacy, when building predictive models. Differentially private data synthesis protects personal details from …

Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation


Authors:  JinzheZeng, LiqunCao, MingyuanXu....
Published date-11/11/2020

Abstract: Combustion is a complex chemical system which involves thousands of chemical reactions and generates hundreds of molecular species and radicals during the process. In this work, a neural network-based molecular …

IGSQL: Database Schema Interaction Graph Based Neural Model for Context-Dependent Text-to-SQL Generation


Authors:  YitaoCai, XiaojunWan....
Published date-11/11/2020
Tasks:  Text-To-Sql

Abstract: Context-dependent text-to-SQL task has drawn much attention in recent years. Previous models on context-dependent text-to-SQL task only concentrate on utilizing historical user inputs. In this work, in addition to using …

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