Abhishek Kumar

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All published works

Action	Title	Year	Authors
+ PDF Chat	To Aggregate or Not? Learning with Separate Noisy Labels	2023	Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu
+	Risk score learning for COVID-19 contact tracing apps	2021	Kevin R. Murphy Abhishek Kumar Stelios Serghiou
+ PDF Chat	S3Pool: Pooling with Stochastic Spatial Sampling	2017	Shuangfei Zhai Hui Wu Abhishek Kumar Yu Cheng Yongxi Lu Zhongfei Zhang Rogério Feris
+	S3Pool: Pooling with Stochastic Spatial Sampling	2016	Shuangfei Zhai Hui Wu Abhishek Kumar Yu Cheng Yongxi Lu Zhongfei Zhang Rogério Feris

Common Coauthors

Coauthor	Papers Together
Yu Cheng	2
Shuangfei Zhai	2
Zhongfei Zhang	2
Yongxi Lu	2
Rogério Feris	2
Hui Wu	2
Yang Liu	1
Ehsan Amid	1
Zhaowei Zhu	1
Kevin R. Murphy	1
Tianyi Luo	1
Stelios Serghiou	1
Jiaheng Wei	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Sampling theory in Fourier and signal analysis : foundations	1996	John R. Higgins	2
+	Improving Deep Neural Networks with Probabilistic Maxout Units	2013	Jost Tobias Springenberg Martin Riedmiller	2
+	Fractional Max-Pooling	2014	Benjamin Graham	2
+	Stacked What-Where Auto-encoders	2015	Junbo Zhao Michaël Mathieu Ross Goroshin Yann LeCun	2
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox	2
+	ADADELTA: An Adaptive Learning Rate Method	2012	Matthew D. Zeiler	2
+ PDF Chat	Training Complex Models with Multi-Task Weak Supervision	2019	Alexander Ratner Braden Hancock Jared Dunnmon Frédéric Sala Shreyash Pandey Christopher Ré	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox	1
+	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	1
+ PDF Chat	Who Said What: Modeling Individual Labelers Improves Classification	2018	Melody Y. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton	1
+	Network In Network	2014	Min Lin Qiang Chen Shuicheng Yan	1
+ PDF Chat	Classification with Noisy Labels by Importance Reweighting	2015	Tongliang Liu Dacheng Tao	1
+ 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	1
+ PDF Chat	Symmetric Cross Entropy for Robust Learning With Noisy Labels	2019	Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey	1
+ PDF Chat	Human Uncertainty Makes Classification More Robust	2019	Joshua Peterson Ruairidh M. Battleday Thomas L. Griffiths Olga Russakovsky	1
+ PDF Chat	Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing	2020	Luca Ferretti Chris Wymant Michelle Kendall Lele Zhao Anel Nurtay Lucie Abeler‐Dörner Michael Parker David Bonsall Christophe Fraser	1
+	Risk scoring calculation for the current NHSx contact tracing app	2020	Mark Briers Marcos Charalambides Chris Holmes	1
+ PDF Chat	Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization	2020	Hongxin Wei Lei Feng Xiangyu Chen Bo An	1
+	Does learning require memorization? a short tale about a long tail	2020	Vitaly Feldman	1
+	Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers	2020	Tom Lovett Mark Briers Marcos Charalambides Radka Jersakova James W. Lomax Chris Holmes	1
+ PDF Chat	Learning From Noisy Labels With Deep Neural Networks: A Survey	2022	Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee	1
+ PDF Chat	Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements	2020	Felix Sattler Jackie Ma Patrick Wagner David Neumann Markus Wenzel Ralf Schäfer Wojciech Samek Klaus‐Robert Müller Thomas Wiegand	1
+	Part-dependent Label Noise: Towards Instance-dependent Label Noise	2020	Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama	1
+ PDF Chat	Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland	2020	Marcel Salathé Christian L. Althaus Nanina Anderegg Daniele Antonioli Tala Ballouz Edouard Bugnion Srđjan Čapkun Dennis Jackson Sang-Il Kim James R. Larus	1
+ PDF Chat	A population-based controlled experiment assessing the epidemiological impact of digital contact tracing	2021	Pablo Monedero Santiago Graña Eva E. Álvarez-León Manuela Battaglini Francisco Javier Darias Miguel A. Hernán Raquel García López Paloma LLaneza M. C. Martín Oriana Ramírez‐Rubio	1
+ PDF Chat	The epidemiological impact of the NHS COVID-19 app	2021	Chris Wymant Luca Ferretti Daphne Tsallis Marcos Charalambides Lucie Abeler‐Dörner David Bonsall Robert Hinch Michelle Kendall Luke Milsom Matthew Ayres	1
+ PDF Chat	A Second-Order Approach to Learning with Instance-Dependent Label Noise	2021	Zhaowei Zhu Tongliang Liu Yang Liu	1
+ PDF Chat	GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation	2022	Renchunzi Xie Hongxin Wei Lei Feng Bo An	1
+	Communication in the Presence of Noise	1949	Claude E. Shannon	1
+	Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree	2015	Chen‐Yu Lee Patrick W. Gallagher Zhuowen Tu	1
+	Improving Deep Neural Networks with Probabilistic Maxout Units	2013	Jost Tobias Springenberg Martin Riedmiller	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	1
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks	2014	Çaǧlar Gülçehre Kyunghyun Cho Razvan Pascanu Yoshua Bengio	1
+ PDF Chat	A mechanistic model of infection: why duration and intensity of contacts should be included in models of disease spread	2009	Timo Smieszek	1
+ PDF Chat	Learning Supervised Topic Models for Classification and Regression from Crowds	2017	Filipe Rodrigues Mariana Lourenço Bernardete Ribeiro Francisco C. Pereira	1