2019.04.07 CS Neural papers

04-03-2019	Consistency by Agreement in Zero-shot Neural Machine Translation by Maruan Al-Shedivat et al
04-04-2019	Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks by Kai Olav Ellefsen et al
04-02-2019	Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions by Anil Yaman et al
04-04-2019	Preference Neural Network by Ayman Elgharabawy
04-05-2019	Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning by Oleksiy Ostapenko et al
04-03-2019	Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP by Pierre Falez et al
04-04-2019	An Evolutionary Framework for Automatic and Guided Discovery of Algorithms by Ruchira Sasanka et al
04-05-2019	Reducing catastrophic forgetting when evolving neural networks by Joseph Early
04-04-2019	Learning Numeracy: Binary Arithmetic with Neural Turing Machines by Jacopo Castellini
04-02-2019	Improving Noise Tolerance of Mixed-Signal Neural Networks by Michael Klachko et al
04-02-2019	Optimising Trotter-Suzuki Decompositions for Quantum Simulation Using Evolutionary Strategies by Benjamin Jones et al
04-04-2019	Convergence analysis of beetle antennae search algorithm and its applications by Yinyan Zhang et al
04-03-2019	A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions by Marco Virgolin et al
04-03-2019	Extracting Tables from Documents using Conditional Generative Adversarial Networks and Genetic Algorithms by Nataliya Le Vine et al
04-02-2019	Testing Self-Organizing Multiagent Systems by Nathalia Nascimento et al
04-04-2019	Fluxonic Processing of Photonic Synapse Events by Jeffrey M. Shainline
04-05-2019	Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming by Dhruv Khandelwal et al