Publications AITRICS' innovative research takes the lead in advancements in medical artificial intelligence. All AAAI ACL ACS Acute and Critical Care AISTATS arXiv BMJ Health & Care Informatics CHIL Computer Vision&Image Understanding Critical Care CVPR ECCV EMNLP ICASSP ICCV ICLR ICML IEEE IJCAI INTERSPEECH JCDD JMIR Journal Clinical Medicine MLHC NAACL NeurIPS SaTML Scientific Reports Sensors COLM EACL Title Content Search 35 ICLR TEDDY: Trimming Edges with Degree-based Graph Discrimination strategY ICLR 2024 TEDDY: Trimming Edges with Degree-based Graph Discrimination strategY Hyunjin Seo*, Jihun Yun* and Eunho Yang (*: equal contribution) Since the pioneering work on the lottery ticket hypothesis for graph neural networks (GNNs) was proposed in Chen et al... 34 ICLR Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication ICLR 2024 Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication Geondo Park, June Yong Yang, Joowon kim, Hyeongwon Jang and Eunho Yang Tabular data in the wild are frequently afflicted with class-imbalance, biasing mac... 33 ICLR 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... 32 ICLR 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... 31 ICLR 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... 30 ICLR 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... 29 ICLR 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... 28 ICLR Martingale Posterior Neural Processes ICLR 2023 Martingale Posterior Neural Processes Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee A Neural Process (NP) estimates a stochastic process implicitly defined with neural networks given a stream of data, rather than pre-specifying priors already... 27 ICLR Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance ICLR 2023 Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang With the advantages of fast inference and human-friendly flexible manipulation, image-agnostic style manip... 26 ICLR Exploring the Role of Mean Teacher in Self-supervised Masked Auto-Encoders ICLR 2023 Exploring the Role of Mean Teacher in Self-supervised Masked Auto-Encoders Youngwan Lee, Jeffrey Ryan Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang Masked image modeling (MIM) has become a popular strategy for self-supervised learning (SSL) of visual representat... 1 2 3 4 5
