Summary of Component Fourier Neural Operator For Singularly Perturbed Differential Equations, by Ye Li et al.
Component Fourier Neural Operator for Singularly Perturbed Differential Equationsby Ye Li, Ting Du, Yiwen Pang,…
Summary of Selective Self-rehearsal: a Fine-tuning Approach to Improve Generalization in Large Language Models, by Sonam Gupta et al.
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Modelsby Sonam Gupta, Yatin…
Summary of Freeaugment: Data Augmentation Search Across All Degrees Of Freedom, by Tom Bekor et al.
FreeAugment: Data Augmentation Search Across All Degrees of Freedomby Tom Bekor, Niv Nayman, Lihi Zelnik-ManorFirst…
Summary of Generalization Vs. Memorization in the Presence Of Statistical Biases in Transformers, by John Mitros
Generalization vs. Memorization in the Presence of Statistical Biases in Transformersby John MitrosFirst submitted to arxiv…
Summary of Grvfl-mv: Graph Random Vector Functional Link Based on Multi-view Learning, by M. Tanveer et al.
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learningby M. Tanveer, R. K. Sharma,…
Summary of A Naive Aggregation Algorithm For Improving Generalization in a Class Of Learning Problems, by Getachew K Befekadu
A naive aggregation algorithm for improving generalization in a class of learning problemsby Getachew K…
Summary of Approximating Metric Magnitude Of Point Sets, by Rayna Andreeva et al.
Approximating Metric Magnitude of Point Setsby Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik…
Summary of Can We Theoretically Quantify the Impacts Of Local Updates on the Generalization Performance Of Federated Learning?, by Peizhong Ju et al.
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated…
Summary of Mixnet: Joining Force Of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery Eeg Classification, by Phairot Autthasan et al.
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery…
Summary of Reliable Deep Diffusion Tensor Estimation: Rethinking the Power Of Data-driven Optimization Routine, by Jialong Li et al.
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routineby Jialong Li, Zhicheng…