AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler

NeurIPS Workshop on Table Representation Learning (NeurIPSW-TRL) 2024 AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler  Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang   In re...

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective

NeurIPS 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang  Learning generalized models from biased data is an important undertaking toward fairness in de...

A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system

Scientific Reports 2024 A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system  Arom Choi, Kwanhyung Lee, Heejung Hyun, Kwang Joon Kim, Byungeun Ahn, Kyung Hyun Lee, Sangchul...

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP) 2024 PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning Gyeongman Kim, Doohyuk Jang, Eunho Yang  Recent advancements in large lang...

Time Series Classification with Large Language Models via Linguistic Scaffolding

IEEE Access 2024  Time Series Classification with Large Language Models via Linguistic Scaffolding Hyeongwon Jang, June Yong Yang, Jaeryong Hwang, Eunho Yang  Time series classification requires specialized models that can effectively capture temporal structures. Consequentl...

ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models

INTERSPEECH 2023 ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang   Emotional Text-To-Speech (TTS) is an important task in the development of systems (e.g., human-...

SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization

INTERSPEECH 2023 SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization  Changhun Kim, Joonhyung Park, Hajin Shim and Eunho Yang   Automatic speech recognition (ASR) models are frequently exposed to data di...

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention

MLHC 2023 Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee   Electronic Health Record (EHR) provides abundant inf...

Traversing Between Modes in Function Space for Fast Ensembling

ICML 2023  (TML4H workshop)  Traversing Between Modes in Function Space for Fast Ensembling  Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee    Deep ensemble is a simple yet powerful way to improve the performance of deep neural networks. Under this moti...

RGE: A Repulsive Graph Rectification for Node Classification via Influence

ICML 2023 RGE: A Repulsive Graph Rectification for Node Classification via Influence  Jaeyun Song*, Sung-Yub Kim* and Eunho Yang (*: equal contribution)   In real-world graphs, noisy connections are inevitable, which makes it difficult to obtain unbiased node repre...