2020.11.2 Neural papers

10-28-2020	Measuring non-trivial compositionality in emergent communication by Tomasz Korbak et al
10-29-2020	Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture by Gideon Kowadlo et al
10-27-2020	Spiking Neural Networks -- Part I: Detecting Spatial Patterns by Hyeryung Jang et al
10-27-2020	Spiking Neural Networks -- Part III: Neuromorphic Communications by Nicolas Skatchkovsky et al
10-27-2020	Hybrid Backpropagation Parallel Reservoir Networks by Matthew Evanusa et al
10-30-2020	Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices by Guangli Li et al
10-27-2020	Spiking Neural Networks -- Part II: Detecting Spatio-Temporal Patterns by Nicolas Skatchkovsky et al
10-27-2020	An efficient nonconvex reformulation of stagewise convex optimization problems by Rudy Bunel et al
10-30-2020	Experimental design for MRI by greedy policy search by Tim Bakker et al
10-27-2020	Neural Architecture Search of SPD Manifold Networks by Rhea Sanjay Sukthanker et al
10-29-2020	Overcoming The Limitations of Neural Networks in Composite-Pattern Learning with Architopes by Anastasis Kratsios et al
10-30-2020	AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data by Romain Egele et al
10-29-2020	A brief overview of swarm intelligence-based algorithms for numerical association rule mining by Iztok Fister et al
10-27-2020	Spatio-temporal encoding improves neuromorphic tactile texture classification by Anupam K. Gupta et al
10-28-2020	Estimating Multiplicative Relations in Neural Networks by Bhaavan Goel
10-28-2020	Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution by Fabien C. Y. Benureau et al
10-28-2020	Real-valued Evolutionary Multi-modal Multi-objective Optimization by Hill-Valley Clustering by S. C. Maree et al