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Attributed Text Generation via Post-hoc Research and Revision


Oct 17, 2022
Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

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Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation


Sep 04, 2022
Yu-Jen Chen, Wei-Hsiang Shen, Hao-Wei Chung, Jing-Hao Chiu, Da-Cheng Juan, Tsung-Ying Ho, Chi-Tung Cheng, Meng-Lin Li, Tsung-Yi Ho

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


Jul 06, 2021
Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu, Yiyu Shi

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CARLS: Cross-platform Asynchronous Representation Learning System


May 26, 2021
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


Mar 01, 2021
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


Dec 22, 2020
Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins

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Adversarial Robustness Across Representation Spaces


Dec 01, 2020
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


Jul 12, 2020
Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan

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Remix: Rebalanced Mixup


Jul 08, 2020
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

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* 14 pages, 4 figures 

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Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks


Jul 07, 2020
Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

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* 6 pages, 1 figure 

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