Summary of Exploring State Space and Reasoning by Elimination in Tsetlin Machines, By Ahmed K. Kadhim et al.
Exploring State Space and Reasoning by Elimination in Tsetlin Machinesby Ahmed K. Kadhim, Ole-Christoffer Granmo,…
Summary of Std-plm: Understanding Both Spatial and Temporal Properties Of Spatial-temporal Data with Plm, by Yiheng Huang et al.
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLMby YiHeng Huang, Xiaowei…
Summary of Urrl-imvc: Unified and Robust Representation Learning For Incomplete Multi-view Clustering, by Ge Teng et al.
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clusteringby Ge Teng, Ting Mao, Chen…
Summary of Flashattention-3: Fast and Accurate Attention with Asynchrony and Low-precision, by Jay Shah et al.
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precisionby Jay Shah, Ganesh Bikshandi, Ying Zhang,…
Summary of Parallelizing Autoregressive Generation with Variational State Space Models, by Gaspard Lambrechts et al.
Parallelizing Autoregressive Generation with Variational State Space Modelsby Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien…
Summary of Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data, by Ershadul Haque et al.
Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Databy Ershadul Haque, Manoranjan Paul, Faranak…
Summary of Hdt: Hierarchical Document Transformer, by Haoyu He et al.
HDT: Hierarchical Document Transformerby Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas GeigerFirst submitted…
Summary of Spatial-temporal Attention Model For Traffic State Estimation with Sparse Internet Of Vehicles, by Jianzhe Xue et al.
Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehiclesby Jianzhe Xue, Dongcheng…
Summary of Resource Allocation For Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network, by Yu Xie et al.
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing…
Summary of Sgm-pinn: Sampling Graphical Models For Faster Training Of Physics-informed Neural Networks, by John Anticev et al.
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networksby John Anticev, Ali Aghdaei,…