Summary of Deep Learning Approach For Enhanced Transferability and Learning Capacity in Tool Wear Estimation, by Zongshuo Li et al.
Deep Learning Approach for Enhanced Transferability and Learning Capacity in Tool Wear Estimationby Zongshuo Li,…
Summary of Deep Learning Based Tool Wear Estimation Considering Cutting Conditions, by Zongshuo Li et al.
Deep Learning Based Tool Wear Estimation Considering Cutting Conditionsby Zongshuo Li, Markus Meurer, Thomas BergsFirst…
Summary of Efficient Cutting Tool Wear Segmentation Based on Segment Anything Model, by Zongshuo Li et al.
Efficient Cutting Tool Wear Segmentation Based on Segment Anything Modelby Zongshuo Li, Ding Huo, Markus…
Summary of Foldgpt: Simple and Effective Large Language Model Compression Scheme, by Songwei Liu et al.
FoldGPT: Simple and Effective Large Language Model Compression Schemeby Songwei Liu, Chao Zeng, Lianqiang Li,…
Summary of View From Above: a Framework For Evaluating Distribution Shifts in Model Behavior, by Tanush Chopra et al.
View From Above: A Framework for Evaluating Distribution Shifts in Model Behaviorby Tanush Chopra, Michael…
Summary of Efficient Expert Pruning For Sparse Mixture-of-experts Language Models: Enhancing Performance and Reducing Inference Costs, by Enshu Liu et al.
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costsby Enshu…
Summary of Splitlora: a Split Parameter-efficient Fine-tuning Framework For Large Language Models, by Zheng Lin et al.
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Modelsby Zheng Lin, Xuanjie Hu, Yuxin…
Summary of Causal Bandits: the Pareto Optimal Frontier Of Adaptivity, a Reduction to Linear Bandits, and Limitations Around Unknown Marginals, by Ziyi Liu et al.
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations…
Summary of A Closer Look at Deep Learning Methods on Tabular Datasets, by Han-jia Ye et al.
A Closer Look at Deep Learning Methods on Tabular Datasetsby Han-Jia Ye, Si-Yang Liu, Hao-Run…
Summary of Dynamic Universal Approximation Theory: the Basic Theory For Transformer-based Large Language Models, by Wei Wang et al.
Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Modelsby Wei Wang, Qing…