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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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13
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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6
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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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6
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Towards Evaluating the Robustness of Neural Networks
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2017
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Nicholas Carlini
David Wagner
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5
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ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
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2018
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Han Cai
Ligeng Zhu
Song Han
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5
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Representation Learning with Contrastive Predictive Coding
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2018
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AĂ€ron van den Oord
Yazhe Li
Oriol Vinyals
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5
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Learning Representations by Maximizing Mutual Information Across Views
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2019
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Philip Bachman
R Devon Hjelm
William Buchwalter
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5
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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2018
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Ningning Ma
Xiangyu Zhang
Hai-Tao Zheng
Jian Sun
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5
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Attention is All you Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ćukasz Kaiser
Illia Polosukhin
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4
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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4
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MnasNet: Platform-Aware Neural Architecture Search for Mobile
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2019
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Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
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4
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SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
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2020
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Xiaofan Zhang
Haoming Lu
Cong Hao
Jiachen Li
Bowen Cheng
Yuhong Li
Kyle Rupnow
Jinjun Xiong
Thomas S. Huang
Humphrey Shi
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4
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In-Datacenter Performance Analysis of a Tensor Processing Unit
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2017
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Norman P. Jouppi
Cliff Young
Nishant Patil
David A. Patterson
Gaurav Agrawal
Raminder Bajwa
S. C. Bates
Suresh Bhatia
Nan Boden
Al Borchers
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4
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Fully convolutional networks for semantic segmentation
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2015
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Jonathan Long
Evan Shelhamer
Trevor Darrell
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4
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Regularized Evolution for Image Classifier Architecture Search
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2019
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Esteban Real
Alok Aggarwal
Yanping Huang
Quoc V. Le
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4
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Image-to-Image Translation with Conditional Adversarial Networks
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2017
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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3
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Explaining and Harnessing Adversarial Examples
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2014
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Ian Goodfellow
Jonathon Shlens
Christian Szegedy
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3
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Attention Is All You Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ćukasz Kaiser
Illia Polosukhin
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3
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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
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2019
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Bichen Wu
Kurt Keutzer
Xiaoliang Dai
Peizhao Zhang
Yanghan Wang
Fei Sun
Yiming Wu
Yuandong Tian
PĂ©ter Vajda
Yangqing Jia
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3
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NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving
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2019
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Cong Hao
Yao Chen
Xinheng Liu
Atif Sarwari
Daryl Sew
Ashutosh Dhar
Bryan Wu
Dongdong Fu
Jinjun Xiong
Wenâmei Hwu
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3
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Learning Transferable Architectures for Scalable Image Recognition
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2018
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Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
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3
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Design Flow of Accelerating Hybrid Extremely Low Bit-Width Neural Network in Embedded FPGA
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2018
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Junsong Wang
Qiuwen Lou
Xiaofan Zhang
Chao Zhu
Yonghua Lin
Deming Chen
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3
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DAC-SDC Low Power Object Detection Challenge for UAV Applications
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2019
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Xiaowei Xu
Xinyi Zhang
Bei Yu
Xiaobo Sharon Hu
Christopher Rowen
Jingtong Hu
Yiyu Shi
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3
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Adversarial Machine Learning at Scale
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2016
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Alexey Kurakin
Ian Goodfellow
Samy Bengio
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3
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Learning deep representations by mutual information estimation and maximization
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2018
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R Devon Hjelm
Alex Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
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3
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In-Datacenter Performance Analysis of a Tensor Processing Unit
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2017
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Norman P. Jouppi
Cliff Young
Nishant Patil
David A. Patterson
Gaurav Agrawal
Raminder Bajwa
S. C. Bates
Suresh Bhatia
Nan Boden
Al Borchers
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3
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Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours
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2020
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Dimitrios Stamoulis
Ruizhou Ding
Di Wang
Dimitrios Lymberopoulos
Bodhi Priyantha
Jie Liu
Diana Marculescu
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3
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Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
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2019
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Noel Codella
Veronica Rotemberg
Philipp Tschandl
M. Emre Celebi
Stephen W. Dusza
David Gutman
Brian Helba
Aadi Kalloo
Konstantinos Liopyris
Michael A. Marchetti
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2
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STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
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2019
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Yansong Gao
Chang Xu
Derui Wang
Shiping Chen
Damith C. Ranasinghe
âȘSurya NepalâŹ
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2
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Revisiting Self-Supervised Visual Representation Learning
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2019
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Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
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2
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On the Robustness of Deep K-Nearest Neighbors
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2019
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Chawin Sitawarin
David Wagner
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2
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On Detecting Adversarial Perturbations
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2017
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Jan Hendrik Metzen
Tim Genewein
Volker Fischer
Bastian Bischoff
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2
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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2018
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Jacob Devlin
MingâWei Chang
Kenton Lee
Kristina Toutanova
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2
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Learning deep representations by mutual information estimation and maximization
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2018
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R Devon Hjelm
Alex Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
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2
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GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
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2019
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Lianghua Huang
Xin Zhao
Kaiqi Huang
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2
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A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
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2018
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Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
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2
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Speech recognition with deep recurrent neural networks
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2013
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Alex Graves
Abdelrahman Mohamed
Geoffrey E. Hinton
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2
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Using Deep Learning for Image-Based Plant Disease Detection
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2016
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Sharada P. Mohanty
David Hughes
Marcel Salathé
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2
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Spectral Signatures in Backdoor Attacks
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2018
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Brandon Tran
Jerry Li
Aleksander MÄ
dry
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2
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Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
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2018
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Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
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2
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Few-Shot Learning with Metric-Agnostic Conditional Embeddings
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2018
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Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Courtney D. Corley
Nathan O. Hodas
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2
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2017
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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2
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PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
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2017
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Yang Song
Taesup Kim
Sebastian Nowozin
Stefano Ermon
Nate Kushman
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2
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Adversarial Logit Pairing
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2018
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Harini Kannan
Alexey Kurakin
Ian Goodfellow
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2
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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
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2017
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Xinyun Chen
Chang Liu
Bo Li
Kimberly Lu
Dawn Song
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2
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Boosting Adversarial Attacks with Momentum
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2018
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Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
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2
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DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
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2017
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Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
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2
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DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
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2015
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Chenyi Chen
Ari Seff
Alain L. Kornhauser
Jianxiong Xiao
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2
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Machine Learning Models that Remember Too Much
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2017
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Congzheng Song
Thomas Ristenpart
Vitaly Shmatikov
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2
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Wide Residual Networks
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2016
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Sergey Zagoruyko
Nikos Komodakis
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2
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