Summary of Benign Overfitting in Leaky Relu Networks with Moderate Input Dimension, by Kedar Karhadkar et al.
Benign overfitting in leaky ReLU networks with moderate input dimensionby Kedar Karhadkar, Erin George, Michael…
Benign overfitting in leaky ReLU networks with moderate input dimensionby Kedar Karhadkar, Erin George, Michael…
Elephants Never Forget: Testing Language Models for Memorization of Tabular Databy Sebastian Bordt, Harsha Nori,…
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learningby Zijun Long, Lipeng Zhuang, George Killick,…
Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learningby Vikram GoddlaFirst submitted to…
Dissecting Deep RL with High Update Ratios: Combatting Value Divergenceby Marcel Hussing, Claas Voelcker, Igor…
Synthetic data generation for system identification: leveraging knowledge transfer from similar systemsby Dario Piga, Matteo…
Source Matters: Source Dataset Impact on Model Robustness in Medical Imagingby Dovile Juodelyte, Yucheng Lu,…
An EnKF-LSTM Assimilation Algorithm for Crop Growth Modelby Siqi Zhou, Ling Wang, Jie Liu, Jinshan…
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learningby Michal Nauman, MichaĆ…
Efficient Lifelong Model Evaluation in an Era of Rapid Progressby Ameya Prabhu, Vishaal Udandarao, Philip…