Probabilistic Imputation for Time-series Classification with Missing Data

ICML 2023 Probabilistic Imputation for Time-series Classification with Missing Data  SeungHyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee    Multivariate time series data for real-world applications typically contain a significant amount o...

Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation

ICML 2023 Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation  Yeonsung Jung, Hajin Shim, June Yong Yang and Eunho Yang   Deep neural networks (DNNs), despite their impressive ability to generalize over-capacity ...

Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding

CVPR 2023 Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding   Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim and Eunho Yang   Inspired by the impressive performance of recent face image...

WeavSpeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving

ICASSP 2023 WeavSpeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving Kyusung Seo, Joonhyung Park, Jaeyun Song and Eunho Yang   A cut-and-paste type of data augmentation strategy has attracted considerable attention in the vision...

Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models

ICASSP 2023 Grad-StyleSpeech: Any-Speaker Adaptive Text-to-Speech Synthesis with Diffusion Models Minki Kang, Dongchan Min, Sung Ju Hwang  There has been a significant progress in Text-To-Speech (TTS) synthesis technology in recent years, thanks to the advancement in ne...

Self-Supervised Set Representation Learning for Unsupervised Meta-Learning

ICLR 2023 Self-Supervised Set Representation Learning for Unsupervised Meta-Learning  Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang  Unsupervised meta-learning (UML) essentially shares the spirit of self-supervised learning (SS...

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution

ICLR 2023  (TML4H workshop)  Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee   Accurate time prediction of pa...

Self-Distillation for Further Pre-training of Transformers

ICLR 2023 Self-Distillation for Further Pre-training of Transformers  Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi   Pre-training a large transformer model on a massive amount of unlabeled data and fine-tuning it on labeled datasets for diverse downs...

Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel

ICLR 2023 Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel  Sung-Yub Kim, Sihwan Park, Kyungsu Kim and Eunho Yang   Explaining generalizations and preventing over-confident predictions are central goals of studies on the loss landscape of n...

On the Soft-Subnetwork for Few-Shot Class Incremental Learning

ICLR 2023 On the Soft-Subnetwork for Few-Shot Class Incremental Learning Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo  Inspired by Regularized Lottery Ticket Hypothesis, which states that competitive smooth (non-binary) subnetworks exist w...