Summary of Advancing Multi-modal Sensing Through Expandable Modality Alignment, by Shenghong Dai et al.
Advancing Multi-Modal Sensing Through Expandable Modality Alignmentby Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao,…
Summary of Exploring the Limitations Of Kolmogorov-arnold Networks in Classification: Insights to Software Training and Hardware Implementation, by Van Duy Tran et al.
Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementationby…
Summary of Learning From Memory: Non-parametric Memory Augmented Self-supervised Learning Of Visual Features, by Thalles Silva et al.
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Featuresby Thalles Silva, Helio Pedrini,…
Summary of Automated Transport Separation Using the Neural Shifted Proper Orthogonal Decomposition, by Beata Zorawski et al.
Automated transport separation using the neural shifted proper orthogonal decompositionby Beata Zorawski, Shubhaditya Burela, Philipp…
Summary of Towards Neural Network Based Cognitive Models Of Dynamic Decision-making by Humans, By Changyu Chen et al.
Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humansby Changyu Chen, Shashank Reddy…
Summary of Safepath: a System-level Approach For Efficient Power and Thermal Estimation Of Convolutional Neural Network Accelerator, by Yukai Chen et al.
SAfEPaTh: A System-Level Approach for Efficient Power and Thermal Estimation of Convolutional Neural Network Acceleratorby…
Summary of Spectrum-informed Multistage Neural Networks: Multiscale Function Approximators Of Machine Precision, by Jakin Ng et al.
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precisionby Jakin Ng, Yongji Wang, Ching-Yao…
Summary of Enhanced Feature Learning Via Regularisation: Integrating Neural Networks and Kernel Methods, by Bertille Follain and Francis Bach
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methodsby Bertille Follain, Francis BachFirst…
Summary of Gradient-based Inference Of Abstract Task Representations For Generalization in Neural Networks, by Ali Hummos et al.
Gradient-based inference of abstract task representations for generalization in neural networksby Ali Hummos, Felipe del…
Summary of A Comprehensive Approach to Misspelling Correction with Bert and Levenshtein Distance, by Amirreza Naziri et al.
A Comprehensive Approach to Misspelling Correction with BERT and Levenshtein Distanceby Amirreza Naziri, Hossein ZeinaliFirst…