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



Zheyu Yan , Da-Cheng Juan , Xiaobo Sharon Hu , Yiyu Shi


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CARLS: Cross-platform Asynchronous Representation Learning System



Chun-Ta Lu , Yun Zeng , Da-Cheng Juan , Yicheng Fan , Zhe Li , Jan Dlabal , Yi-Ting Chen , Arjun Gopalan , Allan Heydon , Chun-Sung Ferng , Reah Miyara , Ariel Fuxman , Futang Peng , Zhen Li , Tom Duerig , Andrew Tomkins


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OmniNet: Omnidirectional Representations from Transformers



Yi Tay , Mostafa Dehghani , Vamsi Aribandi , Jai Gupta , Philip Pham , Zhen Qin , Dara Bahri , Da-Cheng Juan , Donald Metzler


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Graph Autoencoders with Deconvolutional Networks



Jia Li , Tomas Yu , Da-Cheng Juan , Arjun Gopalan , Hong Cheng , Andrew Tomkins


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Adversarial Robustness Across Representation Spaces



Pranjal Awasthi , George Yu , Chun-Sung Ferng , Andrew Tomkins , Da-Cheng Juan


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HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections



Yi Tay , Zhe Zhao , Dara Bahri , Donald Metzler , Da-Cheng Juan


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Remix: Rebalanced Mixup



Hsin-Ping Chou , Shih-Chieh Chang , Jia-Yu Pan , Wei Wei , Da-Cheng Juan

* 14 pages, 4 figures 

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Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks



Li-Huang Tsai , Shih-Chieh Chang , Yu-Ting Chen , Jia-Yu Pan , Wei Wei , Da-Cheng Juan

* 6 pages, 1 figure 

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Synthesizer: Rethinking Self-Attention in Transformer Models



Yi Tay , Dara Bahri , Donald Metzler , Da-Cheng Juan , Zhe Zhao , Che Zheng


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Low-Dimensional Hyperbolic Knowledge Graph Embeddings



Ines Chami , Adva Wolf , Da-Cheng Juan , Frederic Sala , Sujith Ravi , Christopher Ré


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