Li Yu

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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
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ PDF Chat Replication and Analysis of Ebbinghaus’ Forgetting Curve 2015 Jaap M. J. Murre
Joeri Dros
1
+ PDF Chat HEp-2 Cell Image Classification With Deep Convolutional Neural Networks 2016 Zhimin Gao
Lei Wang
Luping Zhou
Jianjia Zhang
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat The Limitations of Deep Learning in Adversarial Settings 2016 Nicolas Papernot
Patrick McDaniel
Somesh Jha
Matt Fredrikson
Z. Berkay Celik
Ananthram Swami
1
+ PDF Chat Gland segmentation in colon histology images: The glas challenge contest 2016 Korsuk Sirinukunwattana
Josien P. W. Pluim
Hao Chen
Xiaojuan Qi
Pheng‐Ann Heng
Yun Guo
Li Yang Wang
Bogdan J. Matuszewski
Elia Bruni
Urko Sanchez
1
+ PDF Chat Deep learning in bioinformatics 2016 Seonwoo Min
Byunghan Lee
Sungroh Yoon
1
+ How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation 2016 Chia‐Wei Liu
Ryan Lowe
Iulian Vlad Serban
Michael D. Noseworthy
Laurent Charlin
Joëlle Pineau
1
+ PDF Chat DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2017 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
1
+ The Mythos of Model Interpretability 2016 Zachary C. Lipton
1
+ PDF Chat Using Deep Learning for Image-Based Plant Disease Detection 2016 Sharada P. Mohanty
David Hughes
Marcel Salathé
1
+ Less-forgetting Learning in Deep Neural Networks 2016 Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
1
+ Deep Learning for Identifying Metastatic Breast Cancer 2016 D. Wang
Aditya Khosla
Rishab Gargeya
Humayun Irshad
Andrew H. Beck
1
+ PDF Chat Gland Instance Segmentation Using Deep Multichannel Neural Networks 2017 Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
Maode Lai
Eric Chang
1
+ Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations 2016 Peter J. SchĂŒffler
Judy Sarungbam
Hassan Muhammad
Ed Reznik
Satish K. Tickoo
Thomas J. Fuchs
1
+ Overcoming catastrophic forgetting in neural networks 2017 James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐BarwiƄska
1
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
1
+ Continual Learning with Deep Generative Replay 2017 Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
1
+ Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation 2017 Shikhar Sharma
Layla El Asri
Hannes Schulz
Jérémie Zumer
1
+ Gradient Episodic Memory for Continual Learning 2017 David LĂłpez-Paz
Marc’Aurelio Ranzato
1
+ PDF Chat Measuring Catastrophic Forgetting in Neural Networks 2018 Ronald Kemker
Marc McClure
Angelina Abitino
Tyler L. Hayes
Christopher Kanan
1
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
1
+ DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset 2017 Yanran Li
Hui Su
Xiaoyu Shen
Wenjie Li
Ziqiang Cao
Shuzi Niu
1
+ Variational Continual Learning 2017 Cuong V. Nguyen
Yingzhen Li
Thang D. Bui
Richard E. Turner
1
+ Convolutional CRFs for Semantic Segmentation. 2018 Marvin Teichmann
Roberto Cipolla
1
+ PDF Chat Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge 2019 Mitko Veta
Yujing J. Heng
Nikolas Stathonikos
Babak Ehteshami Bejnordi
Francisco Beça
Thomas Wollmann
Karl Rohr
Manan Shah
D. Wang
Mikaël Rousson
1
+ PDF Chat Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard 2019 Wouter Bulten
PĂ©ter BĂĄndi
Jeffrey Hoven
Rob van de Loo
Johannes Lotz
Nick Weiss
Jeroen van der Laak
Bram van Ginneken
Christina Hulsbergen‐van de Kaa
Geert Litjens
1
+ On the Decision Boundary of Deep Neural Networks 2018 Li Yu
Lizhong Ding
Xin Gao
1
+ The Curious Case of Neural Text Degeneration 2019 Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
1
+ Sequence to Sequence Learning with Neural Networks 2014 Ilya Sutskever
Oriol Vinyals
Quoc V. Le
1
+ Overcoming Catastrophic Forgetting by Incremental Moment Matching 2017 Sang-Woo Lee
Jin-Hwa Kim
Jae-Hyun Jun
Jung-Woo Ha
Byoung‐Tak Zhang
1
+ Going Deeper with Convolutions 2014 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset 2019 Hannah Rashkin
Eric M. Smith
Margaret Li
Y-Lan Boureau
1
+ Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs 2017 Alon Brutzkus
Amir Globerson
1
+ NLTK: The Natural Language Toolkit 2002 Edward Loper
Steven Bird
1
+ Aggregated Residual Transformations for Deep Neural Networks 2016 Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
1
+ PDF Chat Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory 2018 Hao Zhou
Minlie Huang
Tianyang Zhang
Xiaoyan Zhu
Bing Liu
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto MilletarĂŹ
Nassir Navab
Seyed‐Ahmad Ahmadi
1
+ PDF Chat MojiTalk: Generating Emotional Responses at Scale 2018 Xianda Zhou
William Yang Wang
1
+ PDF Chat Focal Loss for Dense Object Detection 2017 Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
1
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
1
+ PDF Chat DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation 2016 Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng‐Ann Heng
1
+ PDF Chat How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation 2016 Chia‐Wei Liu
Ryan Lowe
Iulian Vlad Serban
Mike Noseworthy
Laurent Charlin
Joëlle Pineau
1
+ Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 2015 Yarin Gal
Zoubin Ghahramani
1
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
1
+ MoEL: Mixture of Empathetic Listeners 2019 Zhaojiang Lin
Andrea Madotto
Jamin Shin
Peng Xu
Pascale Fung
1
+ PDF Chat CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation 2019 Gang Xu
Zhigang Song
Zhuo Sun
Calvin Ku
Zhe Yang
Cancheng Liu
Shuhao Wang
Jianpeng Ma
Wei Xu
1
+ DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation 2020 Yizhe Zhang
Siqi Sun
Michel Galley
Yen-Chun Chen
Chris Brockett
Xiang Gao
Jianfeng Gao
Jingjing Liu
Bill Dolan
1