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H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

Jul 25, 2021
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie

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Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks

Jun 22, 2021
Yukun Yang, Wenrui Zhang, Peng Li

* Proceedings of the 38 th International Conference on Machine Learning, PMLR 139, 2021 

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Demonstration of Panda: A Weakly Supervised Entity Matching System

Jun 21, 2021
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He

* vldb 2021 demo 
* video can be found at 

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Fully Hyperbolic Neural Networks

May 31, 2021
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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CLEVE: Contrastive Pre-training for Event Extraction

May 30, 2021
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou

* Accepted at ACL 2021 

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Knowledge Inheritance for Pre-trained Language Models

May 28, 2021
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* preprint 

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Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction

May 20, 2021
Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* ACL 2021 Findings 

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CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models

Mar 03, 2021
Yusheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun

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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Dec 30, 2020
Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou

* preprint 

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Accelerating Pre-trained Language Models via Calibrated Cascade

Dec 29, 2020
Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

* Preprint 

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EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

Nov 23, 2020
Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

* 4 pages 

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Using simulation to incorporate dynamic criteria into multiple criteria decision-making

Nov 16, 2020
Uwe Aickelin, Jenna Marie Reps, Peer-Olaf Siebers, Peng Li

* Journal of the Operational Research Society, Volume 69, Issue 7, Pages 1021-1032 

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DisenE: Disentangling Knowledge Graph Embeddings

Nov 12, 2020
Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou, Yan Zhang

* There are some mistakes in the paper 

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Skip-Connected Self-Recurrent Spiking Neural Networks with Joint Intrinsic Parameter and Synaptic Weight Training

Oct 23, 2020
Wenrui Zhang, Peng Li

* 9 pages, 3 figures 

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MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

Oct 10, 2020
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou

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Disentangle-based Continual Graph Representation Learning

Oct 06, 2020
Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang

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WeChat Neural Machine Translation Systems for WMT20

Oct 05, 2020
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou

* Accepted at WMT 2020. Our Chinese to English system achieved the highest case-sensitive BLEU score among all submissions 

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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Oct 05, 2020
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

* Accepted by EMNLP 2020 

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Oct 01, 2020
Yusheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun

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Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation

Jun 09, 2020
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

* This work has been accepted for publication at ACL2020 

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FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

May 29, 2020
Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang

* 10 pages, to be published in SIGIR20 Industry Track 

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Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions

May 12, 2020
Bojan Karlaš, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang

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Making Robots Draw A Vivid Portrait In Two Minutes

May 12, 2020
Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang

* 7 pages, 7 figures 

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MAVEN: A Massive General Domain Event Detection Dataset

Apr 28, 2020
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

* 9 pages, 2 figures; Work in progress 

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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction

Apr 07, 2020
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

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Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Feb 24, 2020
Wenrui Zhang, Peng Li

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Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient

Jan 01, 2020
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie

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