Search Results for author: Dongwoo Kim

Found 19 papers, 5 papers with code

Vaccination strategies and transmission of COVID-19: evidence across leading countries

no code implementations14 Sep 2021 Dongwoo Kim, Young Jun Lee

Vaccination has been perceived as a key to reaching "herd immunity" in the current COVID-19 pandemic.

Time Series

Neural Network Classifier as Mutual Information Evaluator

no code implementations19 Jun 2021 Zhenyue Qin, Dongwoo Kim, Tom Gedeon

We give a new view of neural network classifiers with softmax and cross-entropy as mutual information evaluators.

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition

no code implementations4 May 2021 Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon

Recent skeleton-based action recognition methods extract features from 3D joint coordinates as spatial-temporal cues, using these representations in a graph neural network for feature fusion to boost recognition performance.

Action Recognition Skeleton Based Action Recognition

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

no code implementations26 Mar 2021 Sean Li, Dongwoo Kim, Qing Wang

The proposed model is shown to generalize well to both homophilic and heterophilic graphs.

Node Classification

A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity

1 code implementation2 Mar 2021 Jonghyuk Park, Sukhyun Cho, Dongwoo Kim, Oleksandr Bailo, Heewoong Park, Sanghoon Hong, Jonghun Park

Furthermore, in order to compute the motion similarity from these datasets, we propose a deep learning model that produces motion embeddings suitable for measuring the similarity between different motions of each human body part.

Action Analysis Action Recognition +2

Global Node Attentions via Adaptive Spectral Filters

no code implementations1 Jan 2021 Shouheng Li, Dongwoo Kim, Qing Wang

The proposed model has been shown to generalize well to both assortative and disassortative graphs.

Node Classification

word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs

2 code implementations LREC 2020 Yo Joong Choe, Kyubyong Park, Dongwoo Kim

We wrap our dataset and model in an easy-to-use Python library, which supports downloading and retrieving top-k word translations in any of the supported language pairs as well as computing top-k word translations for custom parallel corpora.

Translation

Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator

1 code implementation25 Nov 2019 Zhenyue Qin, Dongwoo Kim, Tom Gedeon

We show that optimising the parameters of classification neural networks with softmax cross-entropy is equivalent to maximising the mutual information between inputs and labels under the balanced data assumption.

Classification Fine-Grained Image Classification +2

Softmax Is Not an Artificial Trick: An Information-Theoretic View of Softmax in Neural Networks

no code implementations7 Oct 2019 Zhenyue Qin, Dongwoo Kim

Under this view, we can naturally and mathematically derive log-softmax as an inherent component in a neural network for evaluating the conditional mutual information between network output vectors and labels given an input datum.

Self-Bounded Prediction Suffix Tree via Approximate String Matching

no code implementations ICML 2018 Dongwoo Kim, Christian Walder

Prediction suffix trees (PST) provide an effective tool for sequence modelling and prediction.

Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora

no code implementations TACL 2017 Jooyeon Kim, Dongwoo Kim, Alice Oh

Second, it models each author's influence on citations of a paper based on the topics of the cited papers, as well as the citing papers.

Computer Assisted Composition with Recurrent Neural Networks

no code implementations1 Dec 2016 Christian Walder, Dongwoo Kim

For the case of highly permissive constraint sets, we find that sampling is to be preferred due to the overly regular nature of the optimisation based results.

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches

no code implementations21 Aug 2016 Dongwoo Kim, Lexing Xie, Cheng Soon Ong

Knowledge graph construction consists of two tasks: extracting information from external resources (knowledge population) and inferring missing information through a statistical analysis on the extracted information (knowledge completion).

graph construction

Hierarchical learning of grids of microtopics

no code implementations12 Mar 2015 Nebojsa Jojic, Alessandro Perina, Dongwoo Kim

The counting grid is a grid of microtopics, sparse word/feature distributions.

General Classification

Hierarchical Dirichlet Scaling Process

no code implementations22 Mar 2014 Dongwoo Kim, Alice Oh

We present the \textit{hierarchical Dirichlet scaling process} (HDSP), a Bayesian nonparametric mixed membership model.

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