Summary of Orlm: a Customizable Framework in Training Large Models For Automated Optimization Modeling, by Chenyu Huang et al.
ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modelingby Chenyu Huang, Zhengyang…
Summary of Towards Efficient Disaster Response Via Cost-effective Unbiased Class Rate Estimation Through Neyman Allocation Stratified Sampling Active Learning, by Yanbing Bai et al.
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling…
Summary of Magnitude-based Neuron Pruning For Backdoor Defens, by Nan Li and Haoyu Jiang and Ping Yi
Magnitude-based Neuron Pruning for Backdoor Defensby Nan Li, Haoyu Jiang, Ping YiFirst submitted to arxiv…
Summary of Rethinking Pruning For Backdoor Mitigation: An Optimization Perspective, by Nan Li and Haiyang Yu and Ping Yi
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspectiveby Nan Li, Haiyang Yu, Ping YiFirst submitted…
Summary of Double Variance Reduction: a Smoothing Trick For Composite Optimization Problems Without First-order Gradient, by Hao Di et al.
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradientby Hao Di,…
Summary of Sleepfm: Multi-modal Representation Learning For Sleep Across Brain Activity, Ecg and Respiratory Signals, by Rahul Thapa et al.
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signalsby Rahul Thapa,…
Summary of Linguistic Collapse: Neural Collapse in (large) Language Models, by Robert Wu and Vardan Papyan
Linguistic Collapse: Neural Collapse in (Large) Language Modelsby Robert Wu, Vardan PapyanFirst submitted to arxiv…
Summary of Revisiting the Message Passing in Heterophilous Graph Neural Networks, by Zhuonan Zheng et al.
Revisiting the Message Passing in Heterophilous Graph Neural Networksby Zhuonan Zheng, Yuanchen Bei, Sheng Zhou,…
Summary of The Binary Quantized Neural Network For Dense Prediction Via Specially Designed Upsampling and Attention, by Xingyu Ding and Lianlei Shan and Guiqin Zhao and Meiqi Wu and Wenzhang Zhou and Wei Li
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attentionby Xingyu…
Summary of Online Analytic Exemplar-free Continual Learning with Large Models For Imbalanced Autonomous Driving Task, by Huiping Zhuang et al.
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Taskby Huiping Zhuang,…