Summary of Generative Feature Training Of Thin 2-layer Networks, by Johannes Hertrich and Sebastian Neumayer
Generative Feature Training of Thin 2-Layer Networksby Johannes Hertrich, Sebastian NeumayerFirst submitted to arxiv on:…
Summary of Towards Improved Preference Optimization Pipeline: From Data Generation to Budget-controlled Regularization, by Zhuotong Chen et al.
Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularizationby Zhuotong Chen, Fang Liu,…
Summary of Towards Equitable Asd Diagnostics: a Comparative Study Of Machine and Deep Learning Models Using Behavioral and Facial Data, by Mohammed Aledhari et al.
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral…
Summary of The Effect Of Different Feature Selection Methods on Models Created with Xgboost, by Jorge Neyra et al.
The effect of different feature selection methods on models created with XGBoostby Jorge Neyra, Vishal…
Summary of Online-lora: Task-free Online Continual Learning Via Low Rank Adaptation, by Xiwen Wei et al.
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptationby Xiwen Wei, Guihong Li, Radu MarculescuFirst…
Summary of See-dpo: Self Entropy Enhanced Direct Preference Optimization, by Shivanshu Shekhar et al.
SEE-DPO: Self Entropy Enhanced Direct Preference Optimizationby Shivanshu Shekhar, Shreyas Singh, Tong ZhangFirst submitted to…
Summary of Hypercube Policy Regularization Framework For Offline Reinforcement Learning, by Yi Shen et al.
Hypercube Policy Regularization Framework for Offline Reinforcement Learningby Yi Shen, Hanyan HuangFirst submitted to arxiv…
Summary of Impact Of Label Noise on Learning Complex Features, by Rahul Vashisht and P. Krishna Kumar and Harsha Vardhan Govind and Harish G. Ramaswamy
Impact of Label Noise on Learning Complex Featuresby Rahul Vashisht, P. Krishna Kumar, Harsha Vardhan…
Summary of Sharp Analysis For Kl-regularized Contextual Bandits and Rlhf, by Heyang Zhao and Chenlu Ye and Quanquan Gu and Tong Zhang
Sharp Analysis for KL-Regularized Contextual Bandits and RLHFby Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong…
Summary of Deferred Poisoning: Making the Model More Vulnerable Via Hessian Singularization, by Yuhao He et al.
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularizationby Yuhao He, Jinyu Tian, Xianwei…