Contextual Dropout: An Efficient Sample-Dependent Dropout Module. - Xinjie Fan; Shujian Zhang; Korawat Tanwisuth; Xiaoning Qian; Mingyuan Zhou (ICLR, 2021)

A Prototype-Oriented Framework for Unsupervised Domain Adaptation. - Korawat Tanwisuth; Xinjie Fan; Huangjie Zheng; Shujian Zhang; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2021)

Alignment Attention by Matching Key and Query Distributions. - Shujian Zhang; Xinjie Fan; Huangjie Zheng; Korawat Tanwisuth; Mingyuan Zhou (NeurIPS, 2021)

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. - Dongsheng Wang 003; Dandan Guo; He Zhao 001; Huangjie Zheng; Korawat Tanwisuth; Bo Chen 001; Mingyuan Zhou (ICLR, 2022)

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. - Korawat Tanwisuth; Shujian Zhang; Huangjie Zheng; Pengcheng He; Mingyuan Zhou (ICML, 2023)

A Prototype-Oriented Clustering for Domain Shift with Source Privacy. - Korawat Tanwisuth; Shujian Zhang; Pengcheng He; Mingyuan Zhou (CoRR, 2023)

Switchable Decision: Dynamic Neural Generation Networks. - Shujian Zhang; Korawat Tanwisuth; Chengyue Gong; Pengcheng He; Mingyuan Zhou (ICML, 2024)