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 Title Content Search 118 ICML Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022 Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo, Seul Lee, Sung Ju Hwang Generating graph-structured data requires learning the underlying distribution of graphs. Yet, this is a challenging problem, and the pre... 117 AAAI Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing AAAI 2022 Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang The Mixup scheme suggests mixing a pair of samples to create an augmented training sample and has gained considerab... 116 ICLR Rethinking the Representational Continuity: Towards Unsupervised Continual Learning ICLR 2022 Rethinking the Representational Continuity: Towards Unsupervised Continual Learning Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang Continual learning (CL) aims to learn a sequence of tasks without forgetting the previously acquired knowledge. ... 115 SaTML Rethinking the Entropy of Instance in Adversarial Training SaTML 2022 Rethinking the Entropy of Instance in Adversarial Training Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang Adversarial training, which minimizes the loss of adversarially-perturbed training examples, has been extensively studied as a solution to improv... 114 CHIL Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting CHIL 2022 Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi The Mixup scheme suggests mixing a pair of samples to create an augmented ... 113 ICLR Online Hyperparameter Meta-Learning with Hypergradient Distillation ICLR 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy Hospedales, Sung Ju Hwang Many gradient-based meta-learning methods assume a set of parameters that do not participate in inner-optim... 112 ICLR Online Coreset Selection for Rehearsal-based Continual Learning ICLR 2022 Online Coreset Selection for Rehearsal-based Continual Learning Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang A dataset is a shred of crucial evidence to describe a task. However, each data point in the dataset does not have the same potential, as some of... 111 NeurIPS On Divergence Measures for Bayesian Pseudocoresets NeurIPS 2022 On Divergence Measures for Bayesian Pseudocoresets Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee A Bayesian pseudocoreset is a small synthetic dataset for which the posterior over parameters approximates that of the origina... 110 CVPR MPViT: Multi-Path Vision Transformer for Dense Prediction CVPR 2022 MPViT: Multi-Path Vision Transformer for Dense Prediction Youngwan Lee, Jonghee Kim, Jeff Willette, Sung Ju Hwang Dense computer vision tasks such as object detection and segmentation require effective multi-scale feature representation for detecting or classify... 109 ICLR Model-augmented Prioritized Experience Replay ICLR 2022 Model-augmented Prioritized Experience Replay Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang Experience replay is an essential component in off-policy model-free reinforcement learning (MfRL). Due to its effectiveness, various methods for calculating priori... 6 7 8 9 10
