2020.3.23 Neural papers

03-18-2020	Neuroevolution of Self-Interpretable Agents by Yujin Tang et al
03-18-2020	Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions by Rui Wang et al
03-19-2020	LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units by Guangli Li et al
03-20-2020	Online Continual Learning on Sequences by German I. Parisi et al
03-17-2020	Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond by Wojciech Samek et al
03-18-2020	How social feedback processing in the brain shapes collective opinion processes in the era of social media by Sven Banisch et al
03-19-2020	XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning by Sung Whan Yoon et al
03-17-2020	Heat and Blur: An Effective and Fast Defense Against Adversarial Examples by Haya Brama et al
03-17-2020	SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking by Yihao Luo et al
03-17-2020	Verification of Neural Networks: Enhancing Scalability through Pruning by Dario Guidotti et al
03-20-2020	Comments on Sejnowskis The unreasonable effectiveness of deep learning in artificial intelligence [arXiv:2002.04806] by Leslie S. Smith
03-17-2020	Combinatory Chemistry: Towards a Simple Model of Emergent Evolution by Germán Kruszewski et al
03-20-2020	Evolutionary Multi-Objective Optimization Framework for Mining Association Rules by Shaik Tanveer Ul Huq et al
03-17-2020	Research on a New Convolutional Neural Network Model Combined with Random Edges Adding by Xuanyu Shu et al
03-18-2020	Thermodynamic Cost of Edge Detection in Artificial Neural Network(ANN)-Based Processors by Seçkin Barışık et al
03-17-2020	iNALU: Improved Neural Arithmetic Logic Unit by Daniel Schlör et al