2019.10.14 Neural papers

10-09-2019	Improving Generalization in Meta Reinforcement Learning using Learned Objectives by Louis Kirsch et al
10-11-2019	Relation learning in a neurocomputational architecture supports cross-domain transfer by Leonidas A. A. Doumas et al
10-11-2019	Verification of Neural Networks: Specifying Global Robustness using Generative Models by Nathanaël Fijalkow et al
10-11-2019	The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos? by Gege Zhang et al
10-11-2019	On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor by Kenneth Stewart et al
10-11-2019	Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses by Asier Mujika et al
10-09-2019	Deep neural network for pier scour prediction by Mahesh Pal
10-11-2019	Spacecraft design optimisation for demise and survivability by Mirko Trisolini et al
10-10-2019	Learning to Remember from a Multi-Task Teacher by Yuwen Xiong et al
10-08-2019	Research on the Concept of Liquid State Machine by Gideon Gbenga Oladipupo
10-09-2019	Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models by Arunkumar Byravan et al
10-09-2019	Dissecting Deep Neural Networks by Haakon Robinson et al
10-09-2019	Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods by Kevin J Liang et al
10-08-2019	Automatic Construction of Multi-layer Perceptron Network from Streaming Examples by Mahardhika Pratama et al
10-11-2019	Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs) by Cheng He et al
10-10-2019	Dealing with Stochasticity in Biological ODE Models by Hamda Ajmal et al
10-09-2019	On the adequacy of untuned warmup for adaptive optimization by Jerry Ma et al
10-10-2019	Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks by Dina Obeid et al
10-09-2019	Large Scale Global Optimization by Hybrid Evolutionary Computation by Gutha Jaya Krishna et al
10-11-2019	Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions by Florian Meier et al
10-09-2019	Continual Learning Using Bayesian Neural Networks by HongLin Li et al
10-10-2019	Coloring the Black Box: Visualizing neural network behavior with a self-introspective model by Arturo Pardo et al
10-08-2019	Integrated Optimization of Ascent Trajectory and SRM Design of Multistage Launch Vehicles by Lorenzo Federici et al
10-09-2019	Novel Applications of Factored Neural Machine Translation by Patrick Wilken et al