4 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.LG2019
On Single Source Robustness in Deep Fusion Models
Taewan Kim, Joydeep Ghosh
Algorithms that fuse multiple input sources benefit from both complementary and shared information. Shared information may provide robustness against faulty or noisy inputs, which…
stat.ML2017★ 3 cited
Relaxed Oracles for Semi-Supervised Clustering
Taewan Kim, Joydeep Ghosh
Pairwise "same-cluster" queries are one of the most widely used forms of supervision in semi-supervised clustering. However, it is impractical to ask human oracles to answer every…
stat.ML2017★ 4 cited
Semi-Supervised Active Clustering with Weak Oracles
Taewan Kim, Joydeep Ghosh
Semi-supervised active clustering (SSAC) utilizes the knowledge of a domain expert to cluster data points by interactively making pairwise "same-cluster" queries. However, it is im…