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Da-Cheng Juan

Google
Carnegie Mellon University

85

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Uncertainty Modeling of Emerging Device based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search.

2021 ASP-DAC | Asia and South Pacific Design Automation Conference
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“Does it Matter When I Think You Are Lying?” Improving Deception Detection by Integrating Interlocutor’s Judgements in Conversations

2021 ACL | Meeting of the Association for Computational Linguistics
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Neural Structured Learning: Training Neural Networks with Structured Signals

2021 WSDM | Web Search and Data Mining
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OmniNet: Omnidirectional Representations from Transformers

2021 ICML | International Conference on Machine Learning
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Summary of Tutorials at The Web Conference 2021

2021
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Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search

2021 arXiv: Hardware Architecture
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OmniNet: Omnidirectional Representations from Transformers

2021 arXiv: Computer Vision and Pattern Recognition
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Remix: Rebalanced Mixup

2020 arXiv: Computer Vision and Pattern Recognition
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Sparse Sinkhorn Attention.

2020 arXiv: Learning
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Synthesizer: Rethinking Self-Attention in Transformer Models

2020 arXiv: Computation and Language
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Citations (102)