Summary of Improving Resistance to Noisy Label Fitting by Reweighting Gradient in Sam, By Hoang-chau Luong et al.
Improving Resistance to Noisy Label Fitting by Reweighting Gradient in SAMby Hoang-Chau Luong, Thuc Nguyen-Quang,…
Summary of Fast Training Of Large Kernel Models with Delayed Projections, by Amirhesam Abedsoltan et al.
Fast training of large kernel models with delayed projectionsby Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit,…
Summary of Federated Learning in Chemical Engineering: a Tutorial on a Framework For Privacy-preserving Collaboration Across Distributed Data Sources, by Siddhant Dutta et al.
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed…
Summary of Machine Learning For Cerebral Blood Vessels’ Malformations, by Irem Topal et al.
Machine learning for cerebral blood vessels’ malformationsby Irem Topal, Alexander Cherevko, Yuri Bugay, Maxim Shishlenin,…
Summary of Learn From Foundation Model: Fruit Detection Model Without Manual Annotation, by Yanan Wang and Zhenghao Fei and Ruichen Li and Yibin Ying
Learn from Foundation Model: Fruit Detection Model without Manual Annotationby Yanan Wang, Zhenghao Fei, Ruichen…
Summary of Ldacp: Long-delayed Ad Conversions Prediction Model For Bidding Strategy, by Peng Cui (1) et al.
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategyby Peng Cui, Yiming Yang, Fusheng Jin,…
Summary of Tabletime: Reformulating Time Series Classification As Training-free Table Understanding with Large Language Models, by Jiahao Wang et al.
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Modelsby Jiahao Wang,…
Summary of Beyond Adaptive Gradient: Fast-controlled Minibatch Algorithm For Large-scale Optimization, by Corrado Coppola et al.
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimizationby Corrado Coppola, Lorenzo Papa, Irene Amerini,…
Summary of Tangnn: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism For Graph Representation Learning, by Jiawei E et al.
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph…
Summary of Stain-invariant Representation For Tissue Classification in Histology Images, by Manahil Raza et al.
Stain-Invariant Representation for Tissue Classification in Histology Imagesby Manahil Raza, Saad Bashir, Talha Qaiser, Nasir…