Summary of Noise-robust and Resource-efficient Admm-based Federated Learning, by Ehsan Lari et al.
Noise-Robust and Resource-Efficient ADMM-based Federated Learningby Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, Stefan WernerFirst…
Summary of Alternate Preference Optimization For Unlearning Factual Knowledge in Large Language Models, by Anmol Mekala et al.
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Modelsby Anmol Mekala, Vineeth Dorna,…
Summary of Exploring Scaling Laws For Local Sgd in Large Language Model Training, by Qiaozhi He et al.
Exploring Scaling Laws for Local SGD in Large Language Model Trainingby Qiaozhi He, Xiaomin Zhuang,…
Summary of Relationship Between Uncertainty in Dnns and Adversarial Attacks, by Mabel Ogonna et al.
Relationship between Uncertainty in DNNs and Adversarial Attacksby Mabel Ogonna, Abigail Adeniran, Adewale AdeyemoFirst submitted…
Summary of Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network, by Jialun Zheng et al.
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Networkby Jialun Zheng, Divya…
Summary of Counterfactual Explanations For Clustering Models, by Aurora Spagnol et al.
Counterfactual Explanations for Clustering Modelsby Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin GjoreskiFirst…
Summary of A Margin-maximizing Fine-grained Ensemble Method, by Jinghui Yuan et al.
A Margin-Maximizing Fine-Grained Ensemble Methodby Jinghui Yuan, Hao Chen, Renwei Luo, Feiping NieFirst submitted to…
Summary of Democratizing Mllms in Healthcare: Tinyllava-med For Efficient Healthcare Diagnostics in Resource-constrained Settings, by Aya El Mir et al.
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settingsby Aya El Mir,…
Summary of Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks, by Eeshaan Jain et al.
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networksby Eeshaan Jain,…
Summary of Sane: Strategic Autonomous Non-smooth Exploration For Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions, by Arpan Biswas et al.
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functionsby…