Summary of A Neural Model Of Rule Discovery with Relatively Short-term Sequence Memory, by Naoya Arakawa
A Neural Model of Rule Discovery with Relatively Short-Term Sequence Memoryby Naoya ArakawaFirst submitted to…
Summary of Fp=xint:a Low-bit Series Expansion Algorithm For Post-training Quantization, by Boyang Zhang et al.
FP=xINT:A Low-Bit Series Expansion Algorithm for Post-Training Quantizationby Boyang Zhang, Daning Cheng, Yunquan Zhang, Fangmin…
Summary of Convolution Goes Higher-order: a Biologically Inspired Mechanism Empowers Image Classification, by Simone Azeglio et al.
Convolution goes higher-order: a biologically inspired mechanism empowers image classificationby Simone Azeglio, Olivier Marre, Peter…
Summary of Stably Unactivated Neurons in Relu Neural Networks, by Natalie Brownlowe et al.
Stably unactivated neurons in ReLU neural networksby Natalie Brownlowe, Christopher R. Cornwell, Ethan Montes, Gabriel…
Summary of Dex: Data Channel Extension For Efficient Cnn Inference on Tiny Ai Accelerators, by Taesik Gong et al.
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Acceleratorsby Taesik Gong, Fahim…
Summary of Is the Neural Tangent Kernel Of Pinns Deep Learning General Partial Differential Equations Always Convergent ?, by Zijian Zhou et al.
Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent…
Summary of Risk Factor Identification and Classification Of Malnutrition Among Under-five Children in Bangladesh: Machine Learning and Statistical Approach, by Tasfin Mahmud et al.
Risk factor identification and classification of malnutrition among under-five children in Bangladesh: Machine learning and…
Summary of Thermal Image-based Fault Diagnosis in Induction Machines Via Self-organized Operational Neural Networks, by Sertac Kilickaya et al.
Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networksby Sertac Kilickaya, Cansu…
Summary of Accurate Multi-category Student Performance Forecasting at Early Stages Of Online Education Using Neural Networks, by Naveed Ur Rehman Junejo et al.
Accurate Multi-Category Student Performance Forecasting at Early Stages of Online Education Using Neural Networksby Naveed…
Summary of Pig: Physics-informed Gaussians As Adaptive Parametric Mesh Representations, by Namgyu Kang et al.
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representationsby Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung…