175 citations · 1.2k across the 65 of their papers we have counts for
4 papers · 1 filter
Learning with Biased Complementary Labels
Xiyu Yu, Tongliang Liu, Mingming Gong +1
In this paper, we study the classification problem in which we have access to easily obtainable surrogate for true labels, namely complementary labels, which specify classes that o…
A Compromise Principle in Deep Monocular Depth Estimation
Huan Fu, Mingming Gong, Chaohui Wang +1
Monocular depth estimation, which plays a key role in understanding 3D scene geometry, is fundamentally an ill-posed problem. Existing methods based on deep convolutional neural ne…
Transfer Learning with Label Noise
Xiyu Yu, Tongliang Liu, Mingming Gong +3
Transfer learning aims to improve learning in target domain by borrowing knowledge from a related but different source domain. To reduce the distribution shift between source and t…
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions
Kun Zhang, Mingming Gong, Joseph Ramsey +3
Measurement error in the observed values of the variables can greatly change the output of various causal discovery methods. This problem has received much attention in multiple fi…