4 citations · 4 across the 3 of their papers we have counts for
5 papers
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Sean Welleck, Ilia Kulikov, Jaedeok Kim +2
Despite strong performance on a variety of tasks, neural sequence models trained with maximum likelihood have been shown to exhibit issues such as length bias and degenerate repeti…
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung +1
Architecture optimization, which is a technique for finding an efficient neural network that meets certain requirements, generally reduces to a set of multiple-choice selection pro…
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Hyun-Joo Jung, Jaedeok Kim, Yoonsuck Choe
Various forms of representations may arise in the many layers embedded in deep neural networks (DNNs). Of these, where can we find the most compact representation? We propose to us…
Comparing Sample-wise Learnability Across Deep Neural Network Models
Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung +1
Estimating the relative importance of each sample in a training set has important practical and theoretical value, such as in importance sampling or curriculum learning. This kind…
Human Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization
Jaedeok Kim, Jingoo Seo
In recent years, a number of artificial intelligent services have been developed such as defect detection system or diagnosis system for customer services. Unfortunately, the core…