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Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings


Oct 13, 2021
Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su

* EMNLP 2021 

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WeTS: A Benchmark for Translation Suggestion


Oct 11, 2021
Zhen Yang, Yingxue Zhang, Ernan Li, Fandong Meng, Jie Zhou

* Translation suggestion, Transformer 

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Topology-Imbalance Learning for Semi-Supervised Node Classification


Oct 08, 2021
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

* Accepted By NeurIPS 2021 

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MoEfication: Conditional Computation of Transformer Models for Efficient Inference


Oct 05, 2021
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* Work in progress 

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Simulated annealing for optimization of graphs and sequences


Oct 01, 2021
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song

* Neurocomputing, 465:310-324 (2021) 
* This article is an accepted manuscript of Neurocomputing. arXiv admin note: substantial text overlap with arXiv:1909.03588 

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Structure-Preserving Image Super-Resolution


Sep 26, 2021
Cheng Ma, Yongming Rao, Jiwen Lu, Jie Zhou

* Accepted by T-PAMI. Journal version of arXiv:2003.13081 (CVPR 2020) 

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Dynamic Knowledge Distillation for Pre-trained Language Models


Sep 23, 2021
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

* Main Conference EMNLP 2021, Camera Ready 

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Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation


Sep 18, 2021
Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou

* Accepted by EMNLP 2021 Findings 

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Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation


Sep 17, 2021
Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou

* ACL Fingdings 2021 

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GoG: Relation-aware Graph-over-Graph Network for Visual Dialog


Sep 17, 2021
Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou

* ACL Findings 2021. arXiv admin note: text overlap with arXiv:2109.06013 

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Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training


Sep 14, 2021
Yao Qiu, Jinchao Zhang, Huiying Ren, Jie Zhou


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Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder


Sep 14, 2021
Yao Qiu, Jinchao Zhang, Jie Zhou

* Accepted as a long paper at ACL 2021 (Findings) 

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Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks


Sep 14, 2021
Yao Qiu, Jinchao Zhang, Jie Zhou

* Accepted as a long paper at EMNLP 2021 (Main Conference) 

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Structure-Enhanced Pop Music Generation via Harmony-Aware Learning


Sep 14, 2021
Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou

* Under review 

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Competence-based Curriculum Learning for Multilingual Machine Translation


Sep 09, 2021
Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou

* Accepted by Findings of EMNLP 2021. We release the codes at https://github.com/zml24/ccl-m 

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Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser


Sep 06, 2021
Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou

* Accepted by Findings of EMNLP 2021. Code is available at: https://github.com/zd11024/Entity_Questioner 

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Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical


Sep 06, 2021
Wanhua Li, Jiwen Lu, Abudukelimu Wuerkaixi, Jianjiang Feng, Jie Zhou

* IEEE Transactions on Image Processing, vol. 30, pp. 4947-4961, 2021 
* Accepted by IEEE Transactions on Image Processing (TIP) 

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Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark


Sep 04, 2021
Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou


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NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo


Sep 03, 2021
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou

* To appear in ICCV 2021 (Oral). Project page: https://weiyithu.github.io/NerfingMVS/ 

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Towards Making the Most of Dialogue Characteristics for Neural Chat Translation


Sep 02, 2021
Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou

* Accepted as a long paper at EMNLP 2021 main conference. The first two authors contributed equally. Code: https://github.com/XL2248/CSA-NCT 

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Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification


Sep 01, 2021
Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou

* Accepted by EMNLP 2021 main conference (Long Paper) 

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Scheduled Sampling Based on Decoding Steps for Neural Machine Translation


Aug 31, 2021
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

* Code is at https://github.com/Adaxry/ss_on_decoding_steps. To appear in EMNLP-2021 main conference. arXiv admin note: text overlap with arXiv:2107.10427 

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Deep Relational Metric Learning


Aug 23, 2021
Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou

* Accepted to ICCV 2021. Source code available at https://github.com/zbr17/DRML 

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PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers


Aug 19, 2021
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou

* Accepted to ICCV 2021 (Oral Presentation) 

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Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification


Aug 19, 2021
Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou

* Accepted to ICCV 2021 

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Group-aware Contrastive Regression for Action Quality Assessment


Aug 17, 2021
Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou

* Accepted to ICCV 2021 

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RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection


Aug 17, 2021
Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou

* Accepted to ICCV 2021 

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Masked Face Recognition Challenge: The WebFace260M Track Report


Aug 16, 2021
Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou

* The WebFace260M Track of ICCV-21 MFR Challenge is still open in https://www.face-benchmark.org/challenge.html 

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Towards Interpretable Deep Metric Learning with Structural Matching


Aug 12, 2021
Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou

* Accepted to ICCV 2021 

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PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management


Aug 12, 2021
Jiarui Fang, Yang Yu, Shenggui Li, Yang You, Jie Zhou

* 11 pages 

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