982 citations · 2.8k across the 131 of their papers we have counts for
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Three dimensional m-quasi Einstein manifolds with degenerate Ricci tensor
Jongsu Kim, Jinwoo Shin
In this article we give a classification of three dimensional m-quasi Einstein manifolds with two distinct Ricci-eigen values. Our study provides explicit description of local and…
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee, Honglak Lee, Kibok Lee +1
The problem of detecting whether a test sample is from in-distribution (i.e., training distribution by a classifier) or out-of-distribution sufficiently different from it arises in…
Rumor Source Detection under Querying with Untruthful Answers
Jaeyoung Choi, Sangwoo Moon, Jiin Woo +3
Social networks are the major routes for most individuals to exchange their opinions about new products, social trends and political issues via their interactions. It is often of s…
Confident Multiple Choice Learning
Kimin Lee, Changho Hwang, KyoungSoo Park +1
Ensemble methods are arguably the most trustworthy techniques for boosting the performance of machine learning models. Popular independent ensembles (IE) relying on naive averaging…
Simplified Stochastic Feedforward Neural Networks
Kimin Lee, Jaehyung Kim, Song Chong +1
It has been believed that stochastic feedforward neural networks (SFNNs) have several advantages beyond deterministic deep neural networks (DNNs): they have more expressive power a…
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models
Sejun Park, Yunhun Jang, Andreas Galanis +3
The Gibbs sampler is a particularly popular Markov chain used for learning and inference problems in Graphical Models (GMs). These tasks are computationally intractable in general,…