Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

1 code implementation • 5 Mar 2024 • Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

Large-scale sequence modeling has sparked rapid advances that now extend into biology and genomics.

FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning

1 code implementation • 19 Jul 2023 • Chia-Hsiang Kao, Yu-Chiang Frank Wang

In this paper, we propose FedBug (Federated Learning with Bottom-Up Gradual Unfreezing), a novel FL framework designed to effectively mitigate client drift.

Federated Learning

MAML is a Noisy Contrastive Learner in Classification

1 code implementation • ICLR 2022 • Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen

Model-agnostic meta-learning (MAML) is one of the most popular and widely adopted meta-learning algorithms, achieving remarkable success in various learning problems.

Classification Few-Shot Learning