Risk Bounds for Robust Deep Learning

14 September 2020

Papers citing "Risk Bounds for Robust Deep Learning"

11 / 11 papers shown

Title
Robust deep learning from weakly dependent data William Kengne Modou Wade OOD 82 2 0 08 May 2024
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs Fang Xie Lihu Xu Qiuran Yao Huiming Zhang 47 0 0 28 Dec 2022
Statistical guarantees for sparse deep learning Johannes Lederer 40 11 0 11 Dec 2022
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks Mahsa Taheri Fang Xie Johannes Lederer 52 0 0 09 May 2022
How do noise tails impact on deep ReLU networks? Jianqing Fan Yihong Gu Wen-Xin Zhou ODL 126 13 0 20 Mar 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 69 11 0 10 Jan 2022
Robust Nonparametric Regression with Deep Neural Networks Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang OOD 102 13 0 21 Jul 2021
Targeted Deep Learning: Framework, Methods, and Applications Shih-Ting Huang Johannes Lederer AAML OOD MedIm 37 1 0 28 May 2021
DeepMoM: Robust Deep Learning With Median-of-Means Shih-Ting Huang Johannes Lederer FedML 67 6 0 28 May 2021
Activation Functions in Artificial Neural Networks: A Systematic Overview Johannes Lederer FAtt AI4CE 66 47 0 25 Jan 2021
Optimization Landscapes of Wide Deep Neural Networks Are Benign Johannes Lederer 65 8 0 02 Oct 2020