Summary of The Use Of a Large Language Model For Cyberbullying Detection, by Bayode Ogunleye et al.
The Use of a Large Language Model for Cyberbullying Detectionby Bayode Ogunleye, Babitha DharmarajFirst submitted…
Summary of Employee Turnover Analysis Using Machine Learning Algorithms, by Mahyar Karimi et al.
Employee Turnover Analysis Using Machine Learning Algorithmsby Mahyar Karimi, Kamyar Seyedkazem ViliyaniFirst submitted to arxiv…
Summary of Elastic Feature Consolidation For Cold Start Exemplar-free Incremental Learning, by Simone Magistri et al.
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learningby Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais,…
Summary of Efficient Sketches For Training Data Attribution and Studying the Loss Landscape, by Andrea Schioppa
Efficient Sketches for Training Data Attribution and Studying the Loss Landscapeby Andrea SchioppaFirst submitted to…
Summary of Bayesian Uncertainty For Gradient Aggregation in Multi-task Learning, by Idan Achituve et al.
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learningby Idan Achituve, Idit Diamant, Arnon Netzer, Gal…
Summary of Eero: Early Exit with Reject Option For Efficient Classification with Limited Budget, by Florian Valade (lama) et al.
EERO: Early Exit with Reject Option for Efficient Classification with limited budgetby Florian Valade, Mohamed…
Summary of Expediting In-network Federated Learning by Voting-based Consensus Model Compression, By Xiaoxin Su et al.
Expediting In-Network Federated Learning by Voting-Based Consensus Model Compressionby Xiaoxin Su, Yipeng Zhou, Laizhong Cui,…
Summary of Asymptotic Generalization Error Of a Single-layer Graph Convolutional Network, by O. Duranthon et al.
Asymptotic generalization error of a single-layer graph convolutional networkby O. Duranthon, L. ZdeborováFirst submitted to…
Summary of Operator Svd with Neural Networks Via Nested Low-rank Approximation, by J. Jon Ryu et al.
Operator SVD with Neural Networks via Nested Low-Rank Approximationby J. Jon Ryu, Xiangxiang Xu, H.…
Summary of Cambranch: Contrastive Learning with Augmented Milps For Branching, by Jiacheng Lin et al.
CAMBranch: Contrastive Learning with Augmented MILPs for Branchingby Jiacheng Lin, Meng Xu, Zhihua Xiong, Huangang…