1 code implementation • 17 Mar 2024 • Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna
With m&m's, we evaluate 6 popular LLMs with 2 planning strategies (multi-step vs. step-by-step planning), 2 plan formats (JSON vs. code), and 3 types of feedback (parsing/verification/execution).
no code implementations • 26 Dec 2022 • Mowen Yin, Weikai Huang, Zhichao Liang, Quanying Liu, Xiaoying Tang
Our work supports that cortical morphological connectivity, which is constructed based on correlations across subjects' cortical thickness, may serve as a tool to study topological abnormalities in neurological disorders.
no code implementations • 12 Mar 2022 • Weikai Huang, Yijin Huang, Xiaoying Tang
Then, MixUp is adopted to paste patches from the lesion bank at random positions in normal images to synthesize anomalous samples for training.
Semi-supervised Anomaly Detection Supervised Anomaly Detection