Summary of Revisiting Data Augmentation in Deep Reinforcement Learning, by Jianshu Hu et al.
Revisiting Data Augmentation in Deep Reinforcement Learningby Jianshu Hu, Yunpeng Jiang, Paul WengFirst submitted to…
Revisiting Data Augmentation in Deep Reinforcement Learningby Jianshu Hu, Yunpeng Jiang, Paul WengFirst submitted to…
The effect of Leaky ReLUs on the training and generalization of overparameterized networksby Yinglong Guo,…
Generative Kaleidoscopic Networksby Harsh ShrivastavaFirst submitted to arxiv on: 19 Feb 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Graph Out-of-Distribution Generalization via Causal Interventionby Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi…
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decompositionby Yuqi Jiang, Yan Li, Yize ChenFirst submitted…
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methodsby Tim Tsz-Kit Lau, Han Liu, Mladen…
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptationby Yunjuan Wang, Hussein Hazimeh, Natalia…
Knowledge Distillation Based on Transformed Teacher Matchingby Kaixiang Zheng, En-Hui YangFirst submitted to arxiv on:…
Instruction Diversity Drives Generalization To Unseen Tasksby Dylan Zhang, Justin Wang, Francois ChartonFirst submitted to…
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Modelby Salman Rahman, Lavender Yao…