Summary of Compact Nsga-ii For Multi-objective Feature Selection, by Sevil Zanjani Miyandoab et al.
Compact NSGA-II for Multi-objective Feature Selectionby Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian BidgoliFirst submitted…
Summary of Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors, by Yiwei Lu et al.
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractorsby Yiwei Lu, Matthew Y.R. Yang, Gautam Kamath,…
Summary of Fast: An Optimization Framework For Fast Additive Segmentation in Transparent Ml, by Brian Liu and Rahul Mazumder
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent MLby Brian Liu, Rahul MazumderFirst…
Summary of Training Artificial Neural Networks by Coordinate Search Algorithm, By Ehsan Rokhsatyazdi et al.
Training Artificial Neural Networks by Coordinate Search Algorithmby Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab,…
Summary of Ebft: Effective and Block-wise Fine-tuning For Sparse Llms, by Song Guo et al.
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMsby Song Guo, Fan Wu, Lei Zhang, Xiawu…
Summary of Sdes For Minimax Optimization, by Enea Monzio Compagnoni et al.
SDEs for Minimax Optimizationby Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Norbert Proske, Aurelien…
Summary of Endowing Pre-trained Graph Models with Provable Fairness, by Zhongjian Zhang et al.
Endowing Pre-trained Graph Models with Provable Fairnessby Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang,…
Summary of Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning Via Adversarial Training, by Leo Hyun Park et al.
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Trainingby Leo Hyun…
Summary of Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators For Ordinary Differential Equations, by Jonas Beck et al.
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equationsby Jonas Beck, Nathanael…
Summary of Convergence Of Gradient Descent For Recurrent Neural Networks: a Nonasymptotic Analysis, by Semih Cayci et al.
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysisby Semih Cayci, Atilla EryilmazFirst…