Summary of Binary Classification: Is Boosting Stronger Than Bagging?, by Dimitris Bertsimas and Vasiliki Stoumpou
Binary Classification: Is Boosting stronger than Bagging?by Dimitris Bertsimas, Vasiliki StoumpouFirst submitted to arxiv on:…
Summary of Equitable Federated Learning with Activation Clustering, by Antesh Upadhyay and Abolfazl Hashemi
Equitable Federated Learning with Activation Clusteringby Antesh Upadhyay, Abolfazl HashemiFirst submitted to arxiv on: 24…
Summary of Hierarchical Mixture Of Experts: Generalizable Learning For High-level Synthesis, by Weikai Li et al.
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesisby Weikai Li, Ding Wang, Zijian Ding,…
Summary of Less Discriminatory Alternative and Interpretable Xgboost Framework For Binary Classification, by Andrew Pangia et al.
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classificationby Andrew Pangia, Agus Sudjianto, Aijun…
Summary of An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction Using Vae-based Data Augmentation, by Farah Alsafadi et al.
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentationby…
Summary of Inherently Interpretable Tree Ensemble Learning, by Zebin Yang et al.
Inherently Interpretable Tree Ensemble Learningby Zebin Yang, Agus Sudjianto, Xiaoming Li, Aijun ZhangFirst submitted to…
Summary of Adjusted Overfitting Regression, by Dylan Wilson
Adjusted Overfitting Regressionby Dylan WilsonFirst submitted to arxiv on: 24 Oct 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Whither Bias Goes, I Will Go: An Integrative, Systematic Review Of Algorithmic Bias Mitigation, by Louis Hickman et al.
Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigationby Louis…
Summary of Exploiting Interpretable Capabilities with Concept-enhanced Diffusion and Prototype Networks, by Alba Carballo-castro et al.
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networksby Alba Carballo-Castro, Sonia Laguna, Moritz Vandenhirtz,…
Summary of High-dimensional Analysis Of Knowledge Distillation: Weak-to-strong Generalization and Scaling Laws, by M. Emrullah Ildiz et al.
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Lawsby M. Emrullah Ildiz, Halil Alperen…