b'Dongwoo Kim'

research

∙ 08/22/2023

Test Time Embedding Normalization for Popularity Bias Mitigation

Popularity bias is a widespread problem in the field of recommender syst...

0 Dain Kim, et al. ∙

research

∙ 06/02/2023

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost

Graph-based models have become increasingly important in various domains...

0 Jaeseung Heo, et al. ∙

research

∙ 05/30/2023

Hierarchical Graph Generation with K^2-trees

Generating graphs from a target distribution is a significant challenge ...

0 Yunhui Jang, et al. ∙

research

∙ 03/16/2023

Robust Evaluation of Diffusion-Based Adversarial Purification

We question the current evaluation practice on diffusion-based purificat...

0 Minjong Lee, et al. ∙

research

∙ 03/10/2023

Feature Unlearning for Generative Models via Implicit Feedback

We tackle the problem of feature unlearning from a pretrained image gene...

0 Saemi Moon, et al. ∙

research

∙ 02/12/2023

SpReME: Sparse Regression for Multi-Environment Dynamic Systems

Learning dynamical systems is a promising avenue for scientific discover...

0 Moonjeong Park, et al. ∙

research

∙ 10/24/2022

Item-based Variational Auto-encoder for Fair Music Recommendation

We present our solution for the EvalRS DataChallenge. The EvalRS DataCha...

0 Jinhyeok Park, et al. ∙

research

∙ 10/15/2022

Substructure-Atom Cross Attention for Molecular Representation Learning

Designing a neural network architecture for molecular representation is ...

0 Jiye Kim, et al. ∙

research

∙ 10/11/2022

Comparison of encrypted control approaches and tutorial on dynamic systems using LWE-based homomorphic encryption

Encrypted control has been introduced to protect controller data by encr...

0 Junsoo Kim, et al. ∙

research

∙ 09/30/2022

GM-VAE: Representation Learning with VAE on Gaussian Manifold

We propose a Gaussian manifold variational auto-encoder (GM-VAE) whose l...

0 Seunghyuk Cho, et al. ∙

research

∙ 06/06/2022

Restructuring Graph for Higher Homophily via Learnable Spectral Clustering

While a growing body of literature has been studying new Graph Neural Ne...

0 Shouheng Li, et al. ∙

research

∙ 05/31/2022

Few-Shot Unlearning by Model Inversion

We consider the problem of machine unlearning to erase a target dataset,...

0 Youngsik Yoon, et al. ∙

research

∙ 05/30/2022

MetaSSD: Meta-Learned Self-Supervised Detection

Deep learning-based symbol detector gains increasing attention due to th...

0 Moon Jeong Park, et al. ∙

research

∙ 05/25/2022

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning

We present a rotated hyperbolic wrapped normal distribution (RoWN), a si...

0 Seunghyuk Cho, et al. ∙

research

∙ 11/01/2021

Robust Deep Learning from Crowds with Belief Propagation

Crowdsourcing systems enable us to collect noisy labels from crowd worke...

0 Hoyoung Kim, et al. ∙

research

∙ 06/19/2021

Informative Class Activation Maps

We study how to evaluate the quantitative information content of a regio...

3 Zhenyue Qin, et al. ∙

research

∙ 06/19/2021

Neural Network Classifier as Mutual Information Evaluator

Cross-entropy loss with softmax output is a standard choice to train neu...

10 Zhenyue Qin, et al. ∙

research

∙ 03/26/2021

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

Graph neural networks (GNNs) have been extensively studied for predictio...

0 Sean Li, et al. ∙

research

∙ 02/03/2021

Roughly Collected Dataset for Contact Force Sensing Catheter

With rise of interventional cardiology, Catheter Ablation Therapy (CAT) ...

0 Seunghyuk Cho, et al. ∙

research

∙ 11/27/2019

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

We present word2word, a publicly available dataset and an open-source Py...

0 Yo Joong Choe, et al. ∙

research

∙ 11/25/2019

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

Mutual information is widely applied to learn latent representations of ...

24 Zhenyue Qin, et al. ∙

research

∙ 10/07/2019

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

Despite great popularity of applying softmax to map the non-normalised o...

0 Zhenyue Qin, et al. ∙

research

∙ 01/16/2019

Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter

Online trolling has raised serious concerns about manipulating public op...

0 Dongwoo Kim, et al. ∙

research

∙ 02/09/2018

Self-Bounded Prediction Suffix Tree via Approximate String Matching

Prediction suffix trees (PST) provide an effective tool for sequence mod...

0 Dongwoo Kim, et al. ∙

research

∙ 02/09/2018

Neural Dynamic Programming for Musical Self Similarity

We present a neural sequence model designed specifically for symbolic mu...

0 Christian J. Walder, et al. ∙

research

∙ 06/02/2017

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

Much of scientific progress stems from previously published findings, bu...

0 Jooyeon Kim, et al. ∙

research

∙ 12/01/2016

Computer Assisted Composition with Recurrent Neural Networks

Sequence modeling with neural networks has lead to powerful models of sy...

0 Christian Walder, et al. ∙

research

∙ 08/21/2016

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches

Knowledge graph construction consists of two tasks: extracting informati...

0 Dongwoo Kim, et al. ∙

research

∙ 03/12/2015

Hierarchical learning of grids of microtopics

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

0 Nebojsa Jojic, et al. ∙

research

∙ 05/04/2012

Variable Selection for Latent Dirichlet Allocation

In latent Dirichlet allocation (LDA), topics are multinomial distributio...

0 Dongwoo Kim, et al. ∙

Dongwoo Kim

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