2022.3.21 Neural papers

03-16-2022	AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension by Xiao Li et al
03-17-2022	Symmetry-Based Representations for Artificial and Biological General Intelligence by Irina Higgins et al
03-17-2022	A Framework and Benchmark for Deep Batch Active Learning for Regression by David Holzmüller et al
03-18-2022	Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block by Changqing Xu et al
03-16-2022	Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation by Dmitry Medvedev et al
03-18-2022	Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming by Yao Zhang et al
03-17-2022	Depth-aware Neural Style Transfer using Instance Normalization by Eleftherios Ioannou et al
03-16-2022	GPU-Accelerated Parallel Gene-pool Optimal Mixing in a Gray-Box Optimization Setting by Anton Bouter et al
03-17-2022	Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization by Renzo J. Scholman et al
03-17-2022	Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace by Furong Ye et al
03-17-2022	Developing a Successful Bomberman Agent by Dominik Kowalczyk et al
03-15-2022	Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations by Shahab Razavi et al
03-16-2022	Adaptive Objective Configuration in Bi-Objective Evolutionary Optimization for Cervical Cancer Brachytherapy Treatment Planning by Leah R. M. Dickhoff et al