2022.2.7 Neural papers

02-03-2022	Tsetlin Machine for Solving Contextual Bandit Problems by Raihan Seraj et al
02-03-2022	Optimized Potential Initialization for Low-latency Spiking Neural Networks by Tong Bu et al
02-02-2022	Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions by Maksim Velikanov et al
02-04-2022	Heed the Noise in Performance Evaluations in Neural Architecture Search by Arkadiy Dushatskiy et al
02-02-2022	Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts by Syed Adnan Yusuf et al
02-01-2022	Surrogate Gradients Design by Luca Herranz-Celotti et al
02-03-2022	Quality-diversity for aesthetic evolution by Jon McCormack et al
02-04-2022	COIL: Constrained Optimization in Learned Latent Space -- Learning Representations for Valid Solutions by Peter J Bentley et al
02-02-2022	Training Semantic Descriptors for Image-Based Localization by Ibrahim Cinaroglu et al
02-04-2022	Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons by Joonghyun Song et al
02-02-2022	Accelerated Quality-Diversity for Robotics through Massive Parallelism by Bryan Lim et al
02-04-2022	Exploring the Feature Space of TSP Instances Using Quality Diversity by Jakob Bossek et al
02-02-2022	An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing by Sachin Maheshwari et al
02-02-2022	Flipping the switch on local exploration: Genetic Algorithms with Reversals by Ankit Grover et al