Summary of Meat: Median-ensemble Adversarial Training For Improving Robustness and Generalization, by Zhaozhe Hu et al.
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalizationby Zhaozhe Hu, Jia-Li Yin, Bin Chen,…
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalizationby Zhaozhe Hu, Jia-Li Yin, Bin Chen,…
GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mappingby Angel Daruna, Vasily Zadorozhnyy, Georgina Lukoczki,…
Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimagingby Bradley T. Baker,…
Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoMLby Ryohei InoFirst submitted…
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentationby Tong…
Enhancing Domain Adaptation through Prompt Gradient Alignmentby Hoang Phan, Lam Tran, Quyen Tran, Trung LeFirst…
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Biasby Honam Wong, Wendao…
LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devicesby Ruibing Jin, Qing Xu,…
MaIL: Improving Imitation Learning with Mambaby Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge…
Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysisby Qining Zhang,…