Gradient-based Discrete Sampling with Automatic Cyclical Schedulingby Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, Ruqi ZhangFirst…
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Modelsby Pedro Seber, Richard…
Hyperdimensional Representation Learning for Node Classification and Link Predictionby Abhishek Dalvi, Vasant HonavarFirst submitted to…
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterizationby Zhenzhang Ye, Gabriel Peyré, Daniel Cremers,…
QF-tuner: Breaking Tradition in Reinforcement Learningby Mahmood A. Jumaah, Yossra H. Ali, Tarik A. RashidFirst…
Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approachby Alaa Selim, Yanzhu Ye, Junbo…
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasksby Zekang Yang, Wang…
Advancing Parameter Efficiency in Fine-tuning via Representation Editingby Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong…
Machine Unlearning of Pre-trained Large Language Modelsby Jin Yao, Eli Chien, Minxin Du, Xinyao Niu,…
Practical Insights into Knowledge Distillation for Pre-Trained Modelsby Norah Alballa, Marco CaniniFirst submitted to arxiv…