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Chia-Hsiang Kao
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2020 – today
- 2024
- [c5]Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov:
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. ICML 2024 - [i4]Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov:
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. CoRR abs/2403.03234 (2024) - [i3]Chia-Hsiang Kao, Bharath Hariharan:
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning. CoRR abs/2409.19841 (2024) - 2023
- [i2]Chia-Hsiang Kao, Yu-Chiang Frank Wang:
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning. CoRR abs/2307.10317 (2023) - 2022
- [c4]Chun-Chih Huang, Intan Low, Chia-Hsiang Kao, Chuan-Yu Yu, Tung-Ping Su, Jen-Chuen Hsieh, Yong-Sheng Chen, Li-Fen Chen:
MEG-based Classification and Grad-CAM Visualization for Major Depressive and Bipolar Disorders with Semi-CNN. EMBC 2022: 1823-1826 - [c3]Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen:
MAML is a Noisy Contrastive Learner in Classification. ICLR 2022 - 2021
- [c2]Chia-Hsiang Kao, Yong-Sheng Chen, Li-Fen Chen, Wei-Chen Chiu:
Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity. MICCAI (3) 2021: 402-412 - [i1]Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen:
MAML is a Noisy Contrastive Learner. CoRR abs/2106.15367 (2021)
2010 – 2019
- 2019
- [c1]Chia-Hsiang Kao, Ching-Ju Yang, Li-Kai Cheng, Hsin-Yen Yu, Yong-Sheng Chen, Jen-Chuen Hsieh, Li-Fen Chen:
Unravelling the Spatio-Temporal Neurodynamics of Rhythm Encoding-reproduction Networks by a Novel fMRI Autoencoder. NER 2019: 615-618
Coauthor Index
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