Summary of Concept Bottleneck Large Language Models, by Chung-en Sun et al.
Concept Bottleneck Large Language Modelsby Chung-En Sun, Tuomas Oikarinen, Berk Ustun, Tsui-Wei WengFirst submitted to…
Summary of Of Dice and Games: a Theory Of Generalized Boosting, by Marco Bressan et al.
Of Dice and Games: A Theory of Generalized Boostingby Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi,…
Summary of Gll: a Differentiable Graph Learning Layer For Neural Networks, by Jason Brown et al.
GLL: A Differentiable Graph Learning Layer for Neural Networksby Jason Brown, Bohan Chen, Harris Hardiman-Mostow,…
Summary of Comparative Analysis Of Deep Learning Approaches For Harmful Brain Activity Detection Using Eeg, by Shivraj Singh Bhatti et al.
Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEGby Shivraj Singh…
Summary of Rumc: a Rule-based Classifier Inspired by Evolutionary Methods, By Melvin Mokhtari
RUMC: A Rule-based Classifier Inspired by Evolutionary Methodsby Melvin MokhtariFirst submitted to arxiv on: 10…
Summary of Distributed Gradient Descent with Many Local Steps in Overparameterized Models, by Heng Zhu et al.
Distributed Gradient Descent with Many Local Steps in Overparameterized Modelsby Heng Zhu, Harsh Vardhan, Arya…
Summary of Fine-grained Graph Representation Learning For Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning, by Shengheng Liu et al.
Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learningby Shengheng…
Summary of Developing a Dataset-adaptive, Normalized Metric For Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance, by Serzhan Ossenov
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class…
Summary of When Every Token Counts: Optimal Segmentation For Low-resource Language Models, by Bharath Raj S et al.
When Every Token Counts: Optimal Segmentation for Low-Resource Language Modelsby Bharath Raj S, Garvit Suri,…
Summary of Extreme Automl: Analysis Of Classification, Regression, and Nlp Performance, by Edward Ratner et al.
Extreme AutoML: Analysis of Classification, Regression, and NLP Performanceby Edward Ratner, Elliot Farmer, Brandon Warner,…