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Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation


Jun 09, 2021
Cunxiao Du, Zhaopeng Tu, Jing Jiang

* ICML 2021 (Oral), Code at https://github.com/tencent-ailab/ICML21_OAXE 

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A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions


May 25, 2021
Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen

* Accepted by IJCAI 2021 Survey Track 

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Investigating Math Word Problems using Pretrained Multilingual Language Models


May 19, 2021
Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang


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FedProto: Federated Prototype Learning over Heterogeneous Devices


May 01, 2021
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang


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A Low-Complexity ADMM-based Massive MIMO Detectors via Deep Neural Networks


Feb 27, 2021
Isayiyas Nigatu Tiba, Quan Zhang, Jing Jiang, Yongchao Wang


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Isometric Propagation Network for Generalized Zero-shot Learning


Feb 03, 2021
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang

* Accepted by ICLR 2021 

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PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack


Jan 19, 2021
Jie Wang, Zhaoxia Yin, Jin Tang, Jing Jiang, Bin Luo


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Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization


Jan 19, 2021
Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du


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Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals


Jan 11, 2021
Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen

* WSDM 2021 camer-ready version. 9 pages 

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SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning


Dec 02, 2020
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long


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Confusable Learning for Large-class Few-Shot Classification


Nov 06, 2020
Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long


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A BERT-based Dual Embedding Model for Chinese Idiom Prediction


Nov 04, 2020
Minghuan Tan, Jing Jiang

* COLING 2020 

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Cooperative Heterogeneous Deep Reinforcement Learning


Nov 02, 2020
Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang


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MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler


Oct 17, 2020
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

* Accepted by NeurIPS 2020 

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Counterfactual Variable Control for Robust and Interpretable Question Answering


Oct 12, 2020
Sicheng Yu, Yulei Niu, Shuohang Wang, Jing Jiang, Qianru Sun


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RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion


Oct 10, 2020
Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

* Accepted to appear at COLING 2020 

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Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention


Oct 08, 2020
Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang

* Accepted to appear at COLING 2020 

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Cross-Thought for Sentence Encoder Pre-training


Oct 07, 2020
Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu

* Accepted by EMNLP 2020 

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Context Modeling with Evidence Filter for Multiple Choice Question Answering


Oct 06, 2020
Sicheng Yu, Hao Zhang, Wei Jing, Jing Jiang

* 6 pages, 2 figures 

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Attribute Propagation Network for Graph Zero-shot Learning


Sep 24, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* AAAI 2020 

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BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes


Sep 24, 2020
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang

* 10 pages, 8 figures, accepted by IEEE ICDM 2020. arXiv admin note: substantial text overlap with arXiv:2006.10516 

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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy


Jun 28, 2020
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang


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A Universal Representation Transformer Layer for Few-Shot Image Classification


Jun 25, 2020
Lu Liu, William Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle


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Self-Attention Enhanced Patient Journey Understanding in Healthcare System


Jun 19, 2020
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

* 16 pages, 6 figures, accepted by ECML/PKDD 2020 

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Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks


May 24, 2020
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang

* Accepted by KDD 2020 

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Online Non-convex Learning for River Pollution Source Identification


May 22, 2020
Wenjie Huang, Jing Jiang, Xiao Liu

* 27 Pages, 7 Figures 

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Multi-Center Federated Learning


May 03, 2020
Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang


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Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder


Apr 13, 2020
Yufei Tian, Jianfei Yu, Jing Jiang


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Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline


Feb 24, 2020
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein


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