2020.8.10 Neural papers

08-06-2020	Structured Convolutions for Efficient Neural Network Design by Yash Bhalgat et al
08-06-2020	Optical Flow and Mode Selection for Learning-based Video Coding by Théo Ladune et al
08-04-2020	Neuromorphic Computing for Content-based Image Retrieval by Te-Yuan Liu et al
08-04-2020	PDE-Driven Spatiotemporal Disentanglement by Jérémie Donà et al
08-06-2020	aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning by Anton Chernyavskiy et al
08-04-2020	Controlling Information Capacity of Binary Neural Network by Dmitry Ignatov et al
08-05-2020	ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution by Nihat Engin Toklu et al
08-04-2020	Implicit Saliency in Deep Neural Networks by Yutong Sun et al
08-05-2020	Annealing Genetic GAN for Minority Oversampling by Jingyu Hao et al
08-05-2020	SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks by Anakha V Babu et al
08-04-2020	Constructing transient amplifiers for death-Birth updating: A case study of cubic and quartic regular graphs by Hendrik Richter