Exhibit 1
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How Does Bug-Handling Effort Differ among Different Programming Languages?
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Jie Zhang, Peking University |
Exhibit 2
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Mining Significant Microblogs for Misinformation Identification:An Attention-based Approach
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Qiang Liu, Chinese Academy of Sciences |
Exhibit 3
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Faithful to the Original: Fact Aware Neural Abstractive Summarization
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Ziqiang Cao, The Hong Kong Polytechnic University |
Exhibit 4
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Boosting Image Captioning with Attributes
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Yingwei Pan, University of Science and Technology of China |
Exhibit 5
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Dual Learning: A New Learning Paradigm
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Yingce Xia, University of Science and Technology of China |
Exhibit 6
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Interleaved Group Convolutions
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Ting Zhang, Microsoft Research Asia |
Exhibit 7
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DCTM: Discrete-Continuous Transformation Matching for Semantic Flow
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Seungryong Kim, Yonsei University |
Exhibit 8
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Towards Zero Copy Dataflows using RDMA
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Li Chen, HKUST |
Exhibit 9
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Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
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Hyeonwoo Noh, POSTECH |
Exhibit 10
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Expressing Unknowns in Library Code
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Hao Tang, Peking University |
Exhibit 11
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Rendering Speech Across Speaker and Language Difference
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Feng-Long Xie, Harbin Institute of Technology |
Exhibit 12
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The Data Civilizer System
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Dong Deng, MIT |
Exhibit 13
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VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
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Chuang Gan, Tsinghua University |