activity
20192022
most citedERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

195 citations · 708 across the 18 of their papers we have counts for

collaborators

19 papers

cs.CV202217 cited

PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector

Xinxin Wang, Guanzhong Wang, Qingqing Dang +3

Arbitrary-oriented object detection is a fundamental task in visual scenes involving aerial images and scene text. In this report, we present PP-YOLOE-R, an efficient anchor-free r…

cs.DC2022

Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism

Guoxia Wang, Zhihua Wu, Xiaomin Fang +4

The accuracy of AlphaFold2, a frontier end-to-end structure prediction system, is already close to that of the experimental determination techniques. Due to the complex model archi…

cs.CV202214 cited

PP-StructureV2: A Stronger Document Analysis System

Chenxia Li, Ruoyu Guo, Jun Zhou +6

A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful bu…

cs.CV20223 cited

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding

Wenjin Wang, Zhengjie Huang, Bin Luo +8

Recent efforts of multimodal Transformers have improved Visually Rich Document Understanding (VrDU) tasks via incorporating visual and textual information. However, existing approa…

eess.AS2022

PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

Hui Zhang, Tian Yuan, Junkun Chen +10

PaddleSpeech is an open-source all-in-one speech toolkit. It aims at facilitating the development and research of speech processing technologies by providing an easy-to-use command…

cs.LG20222 cited

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

Yang Xiang, Zhihua Wu, Weibao Gong +15

The ever-growing model size and scale of compute have attracted increasing interests in training deep learning models over multiple nodes. However, when it comes to training on clo…