Summary of Fedgreen: Carbon-aware Federated Learning with Model Size Adaptation, by Ali Abbasi et al.
FedGreen: Carbon-aware Federated Learning with Model Size Adaptationby Ali Abbasi, Fan Dong, Xin Wang, Henry…
FedGreen: Carbon-aware Federated Learning with Model Size Adaptationby Ali Abbasi, Fan Dong, Xin Wang, Henry…
Singular-limit analysis of gradient descent with noise injectionby Anna Shalova, AndrĂ© Schlichting, Mark PeletierFirst submitted…
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Predictionby Ubaid Azam, Imran…
From Uncertainty to Trust: Kernel Dropout for AI-Powered Medical Predictionsby Ubaid Azam, Imran Razzak, Shelly…
LoRA Dropout as a Sparsity Regularizer for Overfitting Controlby Yang Lin, Xinyu Ma, Xu Chu,…
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout…
Efficient Training of Probabilistic Neural Networks for Survival Analysisby Christian Marius Lillelund, Martin Magris, Christian…
Rolling the dice for better deep learning performance: A study of randomness techniques in deep…
Information-Theoretic Generalization Bounds for Deep Neural Networksby Haiyun He, Christina Lee Yu, Ziv GoldfeldFirst submitted…
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptationby Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju LeeFirst…