Korawat Tanwisuth

Featured Co-authors

Research

POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models

Through prompting, large-scale pre-trained models have become more expressive.

A Prototype-Oriented Clustering for Domain Shift with Source Privacy

Unsupervised clustering under domain shift (UCDS) studies how to transfer knowledge effectively.

Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings

A topic model is often formulated as a generative model that explains how to represent data.

Alignment Attention by Matching Key and Query Distributions

The neural attention mechanism has been incorporated into deep neural networks.

Contextual Dropout: An Efficient Sample-Dependent Dropout Module

Dropout has been demonstrated as a simple and effective module.