Machine learning – Page 177

July 13, 2025

Summary of On the Geometry Of Regularization in Adversarial Training: High-dimensional Asymptotics and Generalization Bounds, by Matteo Vilucchio et al.

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Boundsby Matteo Vilucchio,…

July 13, 2025

Summary of Interpreting Microbiome Relative Abundance Data Using Symbolic Regression, by Swagatam Haldar et al.

Interpreting Microbiome Relative Abundance Data Using Symbolic Regressionby Swagatam Haldar, Christoph Stein-Thoeringer, Vadim BorisovFirst submitted…

July 13, 2025

Summary of Explainability Of Highly Associated Fuzzy Churn Patterns in Binary Classification, by D.y.c. Wang et al.

Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classificationby D.Y.C. Wang, Lars Arne Jordanger,…

July 13, 2025

Summary of Federated Learning with Mmd-based Early Stopping For Adaptive Gnss Interference Classification, by Nishant S. Gaikwad and Lucas Heublein and Nisha L. Raichur and Tobias Feigl and Christopher Mutschler and Felix Ott

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classificationby Nishant S. Gaikwad, Lucas…

July 13, 2025

Summary of Deepvigor+: Scalable and Accurate Semi-analytical Fault Resilience Analysis For Deep Neural Network, by Mohammad Hasan Ahmadilivani et al.

DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Networkby Mohammad Hasan Ahmadilivani,…

July 13, 2025

Summary of Mislabeled Examples Detection Viewed As Probing Machine Learning Models: Concepts, Survey and Extensive Benchmark, by Thomas George et al.

Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmarkby Thomas…

July 13, 2025

Summary of On the Geometry Of Regularization in Adversarial Training: High-dimensional Asymptotics and Generalization Bounds, by Matteo Vilucchio et al.

Summary of Interpreting Microbiome Relative Abundance Data Using Symbolic Regression, by Swagatam Haldar et al.

Summary of Explainability Of Highly Associated Fuzzy Churn Patterns in Binary Classification, by D.y.c. Wang et al.

Summary of Federated Learning with Mmd-based Early Stopping For Adaptive Gnss Interference Classification, by Nishant S. Gaikwad and Lucas Heublein and Nisha L. Raichur and Tobias Feigl and Christopher Mutschler and Felix Ott

Summary of Deepvigor+: Scalable and Accurate Semi-analytical Fault Resilience Analysis For Deep Neural Network, by Mohammad Hasan Ahmadilivani et al.

Summary of Mislabeled Examples Detection Viewed As Probing Machine Learning Models: Concepts, Survey and Extensive Benchmark, by Thomas George et al.

Summary of Linking Model Intervention to Causal Interpretation in Model Explanation, by Debo Cheng et al.

Summary of Power Plays: Unleashing Machine Learning Magic in Smart Grids, by Abdur Rashid et al.

Summary of Data Augmentation Via Diffusion Model to Enhance Ai Fairness, by Christina Hastings Blow et al.

Summary of A Bayesian Framework For Clustered Federated Learning, by Peng Wu et al.