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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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5
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Deep Metric Learning via Lifted Structured Feature Embedding
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2016
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Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
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4
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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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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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4
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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2015
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Sergey Ioffe
Christian Szegedy
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3
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CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
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2019
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Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Seong Joon Oh
Youngjoon Yoo
Junsuk Choe
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3
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
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2017
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Yash Goyal
Tejas Khot
Douglas Summers-Stay
Dhruv Batra
Devi Parikh
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3
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Decoupled Weight Decay Regularization
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2017
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Ilya Loshchilov
Frank Hutter
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3
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Sampling Matters in Deep Embedding Learning
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2017
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Chao-Yuan Wu
R. Manmatha
Alexander J. Smola
Philipp KrĂ€henbĂŒhl
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3
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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
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2018
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Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Jay Gould
Lei Zhang
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3
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Neural ordinary differential equations
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2018
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Ricky T. Q. Chen
Yulia Rubanova
Jesse Bettencourt
David Duvenaud
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2
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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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2
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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2020
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Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
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2
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Neural Discrete Representation Learning
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2017
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AĂ€ron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
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2
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Classification is a Strong Baseline for Deep Metric Learning
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2018
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Andrew Zhai
Haoyu Wu
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2
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Zero-Shot Text-to-Image Generation
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2021
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Aditya Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
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2
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2016
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Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
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2
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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2019
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Jiankang Deng
Jia Guo
Niannan Xue
Stefanos Zafeiriou
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2
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DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
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2018
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Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
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2
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Relational Knowledge Distillation
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2019
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Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
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2
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Learning Metrics From Teachers: Compact Networks for Image Embedding
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2019
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Lu Yu
Vacit Oguz Yazici
Xialei Liu
Joost van de Weijer
Yongmei Cheng
Arnau Ramisa
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2
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Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning
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2019
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Xun Wang
Xintong Han
Weilin Huang
Dengke Dong
Matthew R. Scott
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2
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Bilinear Attention Networks
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2018
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Jin-Hwa Kim
Jae-Hyun Jun
ByoungâTak Zhang
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2
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FaceNet: A unified embedding for face recognition and clustering
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2015
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Florian Schroff
Dmitry Kalenichenko
James Philbin
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2
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The Open Images Dataset V4
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2020
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Alina Kuznetsova
Hassan Rom
Neil Alldrin
Jasper Uijlings
Ivan Krasin
Jordi Pont-Tuset
Shahab Kamali
Stefan Popov
Matteo Malloci
Alexander Kolesnikov
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2
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Language Models are Few-Shot Learners
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2020
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T. B. Brown
Benjamin F. Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
Prafulla Dhariwal
Arvind Neelakantan
Pranav Shyam
Girish Sastry
Amanda Askell
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2
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SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
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2019
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Qi Qian
Lei Shang
Baigui Sun
Juhua Hu
Hao Li
Rong Jin
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2
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No Fuss Distance Metric Learning using Proxies
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2017
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Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
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2
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On the Properties of Neural Machine Translation: EncoderâDecoder Approaches
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2014
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Kyunghyun Cho
Bart van Merriënboer
Dzmitry Bahdanau
Yoshua Bengio
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2
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FitNets: Hints for Thin Deep Nets
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2014
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Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
Carlo Gatta
Yoshua Bengio
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2
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Divide and Conquer the Embedding Space for Metric Learning
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2019
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Artsiom Sanakoyeu
Vadim Tschernezki
Uta BĂŒchler
Björn Ommer
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2
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Attention-Based Ensemble for Deep Metric Learning
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2018
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Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jung-Min Lee
Keunjoo Kwon
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2
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Compositional Attention Networks for Machine Reasoning
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2018
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Drew A. Hudson
Christopher D. Manning
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2
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Deep Metric Learning with Hierarchical Triplet Loss
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2018
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Weifeng Ge
Weilin Huang
Dengke Dong
Matthew R. Scott
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2
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Deep Metric Learning for Practical Person Re-Identification
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2014
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Yi Dong
Zhen Lei
Stan Z. Li
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2
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Deep visual-semantic alignments for generating image descriptions
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2015
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Andrej Karpathy
Li Fei-Fei
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2
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Hard-Aware Deeply Cascaded Embedding
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2017
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Yuhui Yuan
Kuiyuan Yang
Chao Zhang
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2
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Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
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2016
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Sergey Zagoruyko
Nikos Komodakis
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2
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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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2
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Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
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2018
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Michael Opitz
Georg Waltner
Horst Possegger
Horst Bischof
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2
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MIC: Mining Interclass Characteristics for Improved Metric Learning
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2019
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Biagio Brattoli
Karsten Roth
Björn Ommer
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2
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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1
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Single-particle tunneling in doped graphene-insulator-graphene junctions
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2012
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R. M. Feenstra
Debdeep Jena
Gong Gu
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1
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Assessment of high-frequency performance limits of graphene field-effect transistors
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2011
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Jyotsna Chauhan
Jing Guo
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1
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Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
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2009
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Xuesong Li
Weiwei Cai
Jinho An
Seyoung Kim
Junghyo Nah
Dongxing Yang
Richard D. Piner
Aruna Velamakanni
Inhwa Jung
Emanuel Tutuc
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1
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Inelastic scattering and current saturation in graphene
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2010
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Vasili Perebeinos
Phaedon Avouris
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1
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Substrate-limited electron dynamics in graphene
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2008
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S. Fratini
F. Guinea
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1
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Distilling the Knowledge in a Neural Network
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2015
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Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
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1
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Effects of optical and surface polar phonons on the optical conductivity of doped graphene
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2013
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Benedikt Scharf
Vasili Perebeinos
Jaroslav Fabian
Phaedon Avouris
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1
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First-principles analysis of electron-phonon interactions in graphene
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2010
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K. M. Borysenko
Jeffrey T. Mullen
Edwin Barry
Suvodeep Paul
Yu. G. Semenov
J. M. Zavada
Marco Buongiorno Nardelli
K. W. Kim
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1
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