Summary of Early Stopping by Correlating Online Indicators in Neural Networks, By Manuel Vilares Ferro et al.
Early stopping by correlating online indicators in neural networksby Manuel Vilares Ferro, Yerai Doval Mosquera,…
Summary of Noah: Learning Pairwise Object Category Attentions For Image Classification, by Chao Li et al.
NOAH: Learning Pairwise Object Category Attentions for Image Classificationby Chao Li, Aojun Zhou, Anbang YaoFirst…
Summary of Defining Neural Network Architecture Through Polytope Structures Of Dataset, by Sangmin Lee et al.
Defining Neural Network Architecture through Polytope Structures of Datasetby Sangmin Lee, Abbas Mammadov, Jong Chul…
Summary of Momentum Does Not Reduce Stochastic Noise in Stochastic Gradient Descent, by Naoki Sato and Hideaki Iiduka
Momentum Does Not Reduce Stochastic Noise in Stochastic Gradient Descentby Naoki Sato, Hideaki IidukaFirst submitted…
Summary of Sample Complexity Of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-cut, by Hongyu Cheng et al.
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cutby Hongyu Cheng,…
Summary of Riemannian Preconditioned Lora For Fine-tuning Foundation Models, by Fangzhao Zhang et al.
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Modelsby Fangzhao Zhang, Mert PilanciFirst submitted to arxiv on:…
Summary of Teacher-student Learning Based Low Complexity Relay Selection in Wireless Powered Communications, by Aysun Gurur Onalan et al.
Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communicationsby Aysun Gurur Onalan, Berkay…
Summary of Multi-fidelity Physics Constrained Neural Networks For Dynamical Systems, by Hao Zhou et al.
Multi-fidelity physics constrained neural networks for dynamical systemsby Hao Zhou, Sibo Cheng, Rossella ArcucciFirst submitted…
Summary of Nonlinear Subspace Clustering by Functional Link Neural Networks, By Long Shi et al.
Nonlinear subspace clustering by functional link neural networksby Long Shi, Lei Cao, Zhongpu Chen, Badong…
Summary of Analyzing Neural Network-based Generative Diffusion Models Through Convex Optimization, by Fangzhao Zhang et al.
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimizationby Fangzhao Zhang, Mert PilanciFirst submitted to…