Yi Ding

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All published works

Action	Title	Year	Authors
+	Sparse Fusion for Multimodal Transformers	2022	Yi Ding Alex Rich Mason Wang Noah Stier Matthew Turk Pradeep Sen Tobias Höllerer
+ PDF Chat	Channel pruning guided by spatial and channel attention for DNNs in intelligent edge computing	2021	Mengran Liu Weiwei Fang Xiaodong Ma Wenyuan Xu Naixue Xiong Yi Ding
+ PDF Chat	Augmentation Strategies for Learning with Noisy Labels	2021	Kento Nishi Yi Ding Alex Rich Tobias Höllerer
+	Augmentation Strategies for Learning with Noisy Labels	2021	Kento Nishi Yi Ding Alex Rich Tobias Höllerer
+	Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing	2020	Mengran Liu Weiwei Fang Xiaodong Ma Wenyuan Xu Naixue Xiong Yi Ding
+	Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning	2019	Xuefeng Peng Yi Ding David Wihl Omer Gottesman Matthieu Komorowski Li-wei H. Lehman Andrew Slavin Ross A. Aldo Faisal Finale Doshi‐Velez
+	Dynamical systems theory for causal inference with application to synthetic control methods	2018	Yi Ding Panos Toulis
+	Adaptive Subgradient Methods for Online AUC Maximization	2016	Yi Ding Peilin Zhao Steven C. H. Hoi Yew-Soon Ong

Common Coauthors

Coauthor	Papers Together
Tobias Höllerer	3
Alex Rich	3
Mengran Liu	2
Kento Nishi	2
Naixue Xiong	2
Weiwei Fang	2
Wenyuan Xu	2
Noah Stier	1
Xiaodong Ma	1
A. Aldo Faisal	1
Yew-Soon Ong	1
Matthieu Komorowski	1
Steven C. H. Hoi	1
David Wihl	1
Mason Wang	1
Li-wei H. Lehman	1
Pradeep Sen	1
Xiaodong Ma	1
Panos Toulis	1
Peilin Zhao	1
Matthew Turk	1
Andrew Slavin Ross	1
Finale Doshi‐Velez	1
Xuefeng Peng	1
Omer Gottesman	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	3
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	3
+	PCAS: Pruning Channels with Attention Statistics for Deep Network Compression	2018	Kohei Yamamoto Kurato Maeno	2
+ PDF Chat	Relation Networks for Object Detection	2018	Han Hu Jiayuan Gu Zheng Zhang Jifeng Dai Yichen Wei	2
+	ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring	2020	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel	2
+ PDF Chat	ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression	2017	Jian-Hao Luo Jianxin Wu Weiyao Lin	2
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	2
+	Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks	2019	Xiang Li Xiaolin Hu Jian Yang	2
+ PDF Chat	Residual Attention Network for Image Classification	2017	Fei Wang Mengqing Jiang Chen Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang	2
+	Dynamic Routing Between Capsules	2017	Sara Sabour Nicholas Frosst Geoffrey E. Hinton	2
+ PDF Chat	Probabilistic End-To-End Noise Correction for Learning With Noisy Labels	2019	Kun Yi Jianxin Wu	2
+	AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty	2019	Dan Hendrycks Norman Mu Ekin D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan	2
+ PDF Chat	Self-Training With Noisy Student Improves ImageNet Classification	2020	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	2
+	How does Disagreement Help Generalization against Label Corruption	2019	Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama	2
+	A Closer Look at Memorization in Deep Networks	2017	Devansh Arpit Stanisław Jastrzȩbski Nicolas Ballas David Krueger Emmanuel Bengio Maxinder S Kanwal Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio	2
+ PDF Chat	Selective Kernel Networks	2019	Xiang Li Wenhai Wang Xiaolin Hu Jian Yang	2
+	Unsupervised Label Noise Modeling and Loss Correction	2019	Eric Arazo Diego Ortego Paul Albert Noel E. O’Connor Kevin McGuinness	2
+	TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING	2015	Scott Reed Honglak Lee Dragomir Anguelov Christian Szegedy Dumitru Erhan Andrew Rabinovich	2
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	2
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	2
+ PDF Chat	Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning	2018	Yucen Luo Jun Zhu Mengxi Li Yong Ren Bo Zhang	2
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Joint Optimization Framework for Learning with Noisy Labels	2018	Daiki Tanaka Daiki Ikami Toshihiko Yamasaki Kiyoharu Aizawa	2
+ PDF Chat	Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach	2017	Giorgio Patrini Alessandro Rozza Aditya Krishna Menon Richard Nock Lizhen Qu	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Learning to Learn From Noisy Labeled Data	2019	Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli	2
+	A Simple Semi-Supervised Learning Framework for Object Detection	2020	Kihyuk Sohn Zizhao Zhang Chun‐Liang Li Han Zhang Chen‐Yu Lee Tomas Pfister	2
+ PDF Chat	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks	2020	Qilong Wang Banggu Wu Pengfei Zhu Peihua Li Wangmeng Zuo Qinghua Hu	2
+ PDF Chat	Gated Channel Transformation for Visual Recognition	2020	Zongxin Yang Linchao Zhu Yu Wu Yi Yang	2
+ PDF Chat	Compression of recurrent neural networks for efficient language modeling	2019	Artem M. Grachev Dmitry I. Ignatov A. Savchenko	2
+ PDF Chat	NISP: Pruning Networks Using Neuron Importance Score Propagation	2018	Ruichi Yu Ang Li Chun-Fu Chen Jui-Hsin Lai Vlad I. Morariu Xintong Han Mingfei Gao Ching‐Yung Lin Larry S. Davis	2
+	An Entropy-based Pruning Method for CNN Compression	2017	Jian-Hao Luo Jianxin Wu	2
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	2
+	Weight Standardization	2019	Siyuan Qiao Huiyu Wang Chenxi Liu Wei Shen Alan Yuille	2
+ PDF Chat	Global Second-Order Pooling Convolutional Networks	2019	Zilin Gao Jiangtao Xie Qilong Wang Peihua Li	2
+	Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels	2019	Pengfei Chen Benben Liao Guangyong Chen Shengyu Zhang	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+ PDF Chat	A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers	2018	Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen Makan Fardad Yanzhi Wang	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	2
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	2
+ PDF Chat	CBAM: Convolutional Block Attention Module	2018	Sanghyun Woo Jongchan Park Joon‐Young Lee In So Kweon	2
+ PDF Chat	Image Captioning with Semantic Attention	2016	Quanzeng You Hailin Jin Zhaowen Wang Fang Chen Jiebo Luo	2
+	2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy	2018	Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen	2
+	Dynamic Channel Pruning: Feature Boosting and Suppression	2018	Xitong Gao Yiren Zhao Łukasz Dudziak Robert Mullins Cheng‐Zhong Xu	2
+	Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach	2017	Aniruddh Raghu Matthieu Komorowski Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi	1
+ PDF Chat	Multimodal Machine Learning: A Survey and Taxonomy	2018	Tadas Baltrušaitis Chaitanya Ahuja Louis‐Philippe Morency	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Sparse Online Learning via Truncated Gradient	2008	John Langford Lihong Li Tong Zhang	1
+ PDF Chat	Stabilizing embedology: Geometry-preserving delay-coordinate maps	2018	Armin Eftekhari Han Lun Yap Michael B. Wakin Christopher J. Rozell	1