Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation

2 November 2021

Papers citing "Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation"

8 / 8 papers shown

Title
Multiple Instance Verification Xin Xu Eibe Frank G. Holmes 31 0 0 09 Jul 2024
Pruning Distorted Images in MNIST Handwritten Digits Amarnath R Vinay Kumar 23 1 0 26 May 2023
Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants Jeongeun Park Taerim Yoon Jejoon Hong Youngjae Yu Matthew K. X. J. Pan Sungjoon Choi 43 13 0 19 Sep 2022
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 104 34 0 08 Nov 2021
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection K. Deepshikha Sai Harsha Yelleni P. K. Srijith C.Krishna Mohan BDL UQCV 29 87 0 08 Aug 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 61 172 0 24 May 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014