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Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

Oct 17, 2021
Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha Dvornek, Sekhar Tatikonda, James S. Duncan

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Posthoc Verification and the Fallibility of the Ground Truth

Jun 02, 2021
Yifan Ding, Nicholas Botzer, Tim Weninger

* 12 pages, 6 figures, 1 table 

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Reddit Entity Linking Dataset

Jan 04, 2021
Nicholas Botzer, Yifan Ding, Tim Weninger

* 20 pages and 4 figures 

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AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Oct 24, 2020
Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha Dvornek, Xenophon Papademetris, James S. Duncan

* NeurIPS 2020 

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HetSeq: Distributed GPU Training on Heterogeneous Infrastructure

Sep 25, 2020
Yifan Ding, Nicholas Botzer, Tim Weninger

* 7 pages, 3 tables, 2 figures 

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Self-supervised learning for audio-visual speaker diarization

Feb 13, 2020
Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang

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Defending Against Adversarial Attacks Using Random Forests

Jun 16, 2019
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

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Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

May 08, 2019
Yifan Ding, Chuan Wang, Haibin Huang, Jiaming Liu, Jue Wang, Liqiang Wang

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Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation

Apr 29, 2019
Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang

* Accepted by CVPRW 2019 

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A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels

Mar 21, 2018
Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong

* IEEE Winter Conf. on Applications of Computer Vision 2018 

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