2020.9.21 Neural papers

09-17-2020	Distributional Generalization: A New Kind of Generalization by Preetum Nakkiran et al
09-17-2020	EventProp: Backpropagation for Exact Gradients in Spiking Neural Networks by Timo C. Wunderlich et al
09-16-2020	Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning by Qiong Liu et al
09-17-2020	The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning by Lorijn Zaadnoordijk et al
09-15-2020	Ensemble learning of diffractive optical networks by Md Sadman Sakib Rahman et al
09-17-2020	Pruning Neural Networks at Initialization: Why are We Missing the Mark? by Jonathan Frankle et al
09-15-2020	An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version) by Márcio P. Basgalupp et al
09-18-2020	Generating Efficient DNN-Ensembles with Evolutionary Computation by Marc Ortiz et al
09-18-2020	On the spatiotemporal behavior in biology-mimicking computing systems by János Végh et al
09-18-2020	Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi by Yexin Yan et al
09-16-2020	Computational tool to study high dimensional dynamic in NMM by A. González-Mitjans et al
09-17-2020	Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator by Roy Eliya et al
09-17-2020	Attracting Sets in Perceptual Networks by Robert Prentner