Summary of Measuring Sample Importance in Data Pruning For Language Models Based on Information Entropy, by Minsang Kim et al.
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropyby Minsang Kim,…
Summary of Finding Safety Neurons in Large Language Models, by Jianhui Chen et al.
Finding Safety Neurons in Large Language Modelsby Jianhui Chen, Xiaozhi Wang, Zijun Yao, Yushi Bai,…
Summary of Iterative Sizing Field Prediction For Adaptive Mesh Generation From Expert Demonstrations, by Niklas Freymuth et al.
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrationsby Niklas Freymuth, Philipp Dahlinger,…
Summary of Multi-modal Transfer Learning Between Biological Foundation Models, by Juan Jose Garau-luis et al.
Multi-modal Transfer Learning between Biological Foundation Modelsby Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa…
Summary of Temporal Knowledge Graph Question Answering: a Survey, by Miao Su et al.
Temporal Knowledge Graph Question Answering: A Surveyby Miao Su, Zixuan Li, Zhuo Chen, Long Bai,…
Summary of Latent Functional Maps: a Spectral Framework For Representation Alignment, by Marco Fumero et al.
Latent Functional Maps: a spectral framework for representation alignmentby Marco Fumero, Marco Pegoraro, Valentino Maiorca,…
Summary of Defending Against Sophisticated Poisoning Attacks with Rl-based Aggregation in Federated Learning, by Yujing Wang et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learningby Yujing Wang, Hainan Zhang,…
Summary of Layermatch: Do Pseudo-labels Benefit All Layers?, by Chaoqi Liang et al.
LayerMatch: Do Pseudo-labels Benefit All Layers?by Chaoqi Liang, Guanglei Yang, Lifeng Qiao, Zitong Huang, Hongliang…
Summary of Evaluation Of Deep Learning Semantic Segmentation For Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery, by Ilham Adi Panuntun et al.
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High…
Summary of Aeon: a Python Toolkit For Learning From Time Series, by Matthew Middlehurst et al.
aeon: a Python toolkit for learning from time seriesby Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume,…