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AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models


Jan 21, 2022
Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang


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GLaM: Efficient Scaling of Language Models with Mixture-of-Experts


Dec 13, 2021
Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V Le, Yonghui Wu, Zhifeng Chen, Claire Cui


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Learning from Temporal Gradient for Semi-supervised Action Recognition


Dec 06, 2021
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li


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MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification


Dec 03, 2021
Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan Yuille, Yongyi Lu

* A technical report. Code will be released 

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In-painting Radiography Images for Unsupervised Anomaly Detection


Nov 30, 2021
Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou

* Main paper with appendix 

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BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition


Oct 01, 2021
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu

* 14 pages, 7 figures, 13 tables; v2: minor corrections, reference baselines and bibliography updated 

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Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels


Sep 25, 2021
Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou


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Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection


Sep 15, 2021
Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B Gotway, Jianming Liang


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Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning


Feb 21, 2021
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang

* Journal version of arXiv:2007.06959, accepted by IEEE Transactions on Medical Imaging (TMI) 

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Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration


Jul 14, 2020
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael B. Gotway, Jianming Liang

* International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020) 

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Models Genesis


Apr 09, 2020
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang

* arXiv admin note: text overlap with arXiv:1908.06912 

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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation


Jan 28, 2020
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

* Journal of IEEE Transactions on Medical Imaging 

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Scale MLPerf-0.6 models on Google TPU-v3 Pods


Oct 02, 2019
Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou


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Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization


Aug 29, 2019
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang


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Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis


Aug 19, 2019
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang

* International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 

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UNet++: A Nested U-Net Architecture for Medical Image Segmentation


Jul 18, 2018
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

* 8 pages, 3 figures, 3 tables, accepted by 4th Deep Learning in Medical Image Analysis (DLMIA) Workshop 

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AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts


Feb 07, 2018
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

* 14 pages, 11 figures, 5 tables 

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Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images


Feb 07, 2017
Hongkai Wang, Zongwei Zhou, Yingci Li, Zhonghua Chen, Peiou Lu, Wenzhi Wang, Wanyu Liu, Lijuan Yu


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