Chia-Hsiang Kao
Chia-Hsiang Kao
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MAML is a Noisy Contrastive Learner in Classification
CH Kao, WC Chiu, PY Chen
International Conference on Learning Representations, 2021
Caduceus: Bi-directional equivariant long-range dna sequence modeling
Y Schiff, CH Kao, A Gokaslan, T Dao, A Gu, V Kuleshov
arXiv preprint arXiv:2403.03234, 2024
Demystifying T1-MRI to FDG -PET Image Translation via Representational Similarity
CH Kao, YS Chen, LF Chen, WC Chiu
International Conference on Medical Image Computing and Computer-Assisted K, 2021
Advancing dna language models: The genomics long-range benchmark
CH Kao, E Trop, MK Polen, Y Schiff, BP de Almeida, A Gokaslan, T Pierrot, ...
ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 2024
Meg-based classification and grad-cam visualization for major depressive and bipolar disorders with semi-cnn
CC Huang, I Low, CH Kao, CY Yu, TP Su, JC Hsieh, YS Chen, LF Chen
2022 44th Annual International Conference of the IEEE Engineering in K, 2022
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning
CH Kao, YCF Wang
arXiv preprint arXiv:2307.10317, 2023
Unravelling the Spatio-Temporal Neurodynamics of Rhythm Encoding-reproduction Networks by a Novel fMRI Autoencoder
CH Kao, CJ Yang, LK Cheng, HY Yu, YS Chen, JC Hsieh, LF Chen
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 615-618, 2019
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