37 citations · 53 across the 5 of their papers we have counts for
5 papers
Automatic Truss Design with Reinforcement Learning
Weihua Du, Jinglun Zhao, Chao Yu +7
Truss layout design, namely finding a lightweight truss layout satisfying all the physical constraints, is a fundamental problem in the building industry. Generating the optimal la…
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao, Yanan Zheng, Xiaocong Yang +1
Pretrained language models have become the standard approach for many NLP tasks due to strong performance, but they are very expensive to train. We propose a simple and efficient l…
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, Danqi Chen
This paper presents SimCSE, a simple contrastive learning framework that greatly advances state-of-the-art sentence embeddings. We first describe an unsupervised approach, which ta…
CogDL: A Comprehensive Library for Graph Deep Learning
Yukuo Cen, Zhenyu Hou, Yan Wang +15
Graph neural networks (GNNs) have attracted tremendous attention from the graph learning community in recent years. It has been widely adopted in various real-world applications fr…
A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images
Yanyuet Man, Xiangyun Ding, Xingcheng Yao +1
Throughout the world, breast cancer is one of the leading causes of female death. Recently, deep learning methods are developed to automatically grade breast cancer of histological…