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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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3
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Random Erasing Data Augmentation
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2020
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Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
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2
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
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2017
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Yunchao Wei
Jiashi Feng
Xiaodan Liang
MingāMing Cheng
Yao Zhao
Shuicheng Yan
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2
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Improved Regularization of Convolutional Neural Networks with Cutout
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2017
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Terrance DeVries
Graham W. Taylor
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2
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Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
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2021
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Shixing Chen
Xiaohan Nie
David Fan
Dongqing Zhang
Vimal Bhat
Roszilah Hamid
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2
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Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
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2020
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Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
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2
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Group-wise Inhibition based Feature Regularization for Robust Classification
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2021
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Haozhe Liu
Haoqian Wu
Weicheng Xie
Feng Liu
Linlin Shen
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2
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
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2017
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Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
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2
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Learning Deep Features for Discriminative Localization
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2016
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Bolei Zhou
Aditya Khosla
Ćgata Lapedriza
Aude Oliva
Antonio Torralba
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2
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Bidirectional LSTM-CRF Models for Sequence Tagging
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2015
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Zhiheng Huang
Wei Xu
Kai Yu
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1
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Generative Adversarial Networks: An Overview
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2018
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Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
Biswa Sengupta
Anil A. Bharath
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1
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Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
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2018
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Aditya Chattopadhay
Anirban Sarkar
Prantik Howlader
Vineeth N Balasubramanian
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1
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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2016
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Mehdi Noroozi
Paolo Favaro
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1
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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2016
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Justin Johnson
Alexandre Alahi
Li Fei-Fei
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1
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Efficient object localization using Convolutional Networks
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2015
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Jonathan Tompson
Ross Goroshin
Arjun Jain
Yann LeCun
Christoph Bregler
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1
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Deep Learning Face Attributes in the Wild
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2015
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Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
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1
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Rethinking the Inception Architecture for Computer Vision
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2016
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Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
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1
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Feature Denoising for Improving Adversarial Robustness
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2019
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Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
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1
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Least Squares Generative Adversarial Networks
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2017
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Xudong Mao
Qing Li
Haoran Xie
Raymond Y.K. Lau
Zhen Wang
Stephen Paul Smolley
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1
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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2015
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Alec Radford
Luke Metz
Soumith Chintala
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1
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The Kinetics Human Action Video Dataset
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2017
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Andrew Zisserman
JoĆ£o Carreira
Karen Simonyan
Will Kay
Brian Zhang
Chloe Hillier
Sudheendra Vijayanarasimhan
Fabio Viola
T.C. Green
Trevor Back
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1
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Pruning Convolutional Neural Networks for Resource Efficient Inference
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2016
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Pavlo Molchanov
Stephen Tyree
Tero Karras
Timo Aila
Jan Kautz
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1
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
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2018
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Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris Metaxas
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1
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Self-Erasing Network for Integral Object Attention
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2018
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Qibin Hou
Peng-Tao Jiang
Yunchao Wei
MingāMing Cheng
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1
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Improving neural networks by preventing co-adaptation of feature detectors
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2012
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Geoffrey E. Hinton
Nitish Srivastava
Alex Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
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1
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Unsupervised Representation Learning by Predicting Image Rotations
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2018
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Spyros Gidaris
Praveer Singh
Nikos Komodakis
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1
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Spectral Normalization for Generative Adversarial Networks
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2018
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Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
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1
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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
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2018
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Anish Athalye
Nicholas Carlini
David Wagner
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1
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SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
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2018
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Silvio Giancola
Mohieddine Amine
Tarek Dghaily
Bernard Ghanem
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1
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Wasserstein Divergence for GANs
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2018
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Jiqing Wu
Zhiwu Huang
Janine Thoma
U. Dinesh Acharya
Luc Van Gool
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1
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
Piotr DollƔr
Zhuowen Tu
Kaiming He
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1
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Are Anchor Points Really Indispensable in Label-Noise Learning?
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2019
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Xiaobo Xia
Tongliang Liu
Nannan Wang
Bo Han
Chen Gong
Gang Niu
Masashi Sugiyama
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1
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Energy-based Generative Adversarial Network
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2016
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Junbo Zhao
Michaƫl Mathieu
Yann LeCun
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1
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Shape, Illumination, and Reflectance from Shading
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2014
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Jonathan T. Barron
Jitendra Malik
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1
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Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
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2018
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Dapeng Chen
Hongsheng Li
Xihui Liu
Yantao Shen
Jing Shao
Zejian Yuan
Xiaogang Wang
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1
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Attention-Based Dropout Layer for Weakly Supervised Object Localization
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2019
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Junsuk Choe
Hyunjung Shim
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1
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InverseRenderNet: Learning Single Image Inverse Rendering
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2019
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Ye Yu
William A. P. Smith
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1
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BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
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2018
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Tianwei Lin
Xu Zhao
Haisheng Su
Chongjing Wang
Ming Yang
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1
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A Style-Based Generator Architecture for Generative Adversarial Networks
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2019
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Tero Karras
Samuli Laine
Timo Aila
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1
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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2018
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Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
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1
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MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
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2017
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Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li-Jia Li
Li Fei-Fei
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1
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Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015
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2016
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Luca Ghiani
David Yambay
Valerio Mura
Gian Luca Marcialis
Fabio Roli
Stephanie Schuckers
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1
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Stacked Cross Attention for Image-Text Matching
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2018
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Kuang-Huei Lee
Xi Chen
Gang Hua
Houdong Hu
Xiaodong He
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1
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Person Transfer GAN to Bridge Domain Gap for Person Re-identification
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2018
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Longhui Wei
Shiliang Zhang
Wen Gao
Qi Tian
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1
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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
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2018
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Anish Athalye
Nicholas Carlini
David T. Wagner
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1
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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2018
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Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
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1
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From Trailers to Storylines: An Efficient Way to Learn from Movies
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2018
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Qingqiu Huang
Yuanjun Xiong
Yu Xiong
Yuqi Zhang
Dahua Lin
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1
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Training Group Orthogonal Neural Networks with Privileged Information
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2017
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Yunpeng Chen
Xiaojie Jin
Jiashi Feng
Shuicheng Yan
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1
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Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
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2018
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Zhilu Zhang
Mert R. Sabuncu
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1
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Learning Deep Representations of Fine-Grained Visual Descriptions
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2016
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Scott Reed
Zeynep Akata
Honglak Lee
Bernt Schiele
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1
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