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Deep Residual Learning for Image Recognition
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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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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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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The dynamics of viral marketing
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Jure Leskovec
Lada A. Adamic
Bernardo A. Huberman
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Using a model of social dynamics to predict popularity of news
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Kristina Lerman
Tad Hogg
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Predicting Adoption Probabilities in Social Networks
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Fang Xiao
Paul JenâHwa Hu
Zhepeng Li
Weiyu Tsai
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Novelty and collective attention
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2007
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Fang Wu
Bernardo A. Huberman
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
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Song Han
Huizi Mao
William J. Dally
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Quantifying Long-Term Scientific Impact
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2013
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Dashun Wang
Chaoming Song
AlbertâLĂĄszlĂł BarabĂĄsi
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Structure and dynamics of information pathways in online media
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2013
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Manuel Gomez-Rodriguez
Jure Leskovec
Bernhard Schölkopf
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Uncovering the Temporal Dynamics of Diffusion Networks
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2011
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Manuel Gomez-Rodriguez
David Balduzzi
Bernhard Sch lkopf
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Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
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2018
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Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
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2016
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Forrest Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
William J. Dally
Kurt Keutzer
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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2016
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Mohammad Rastegari
Vicente Ordóñez
Joseph Redmon
Ali Farhadi
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Learning Structured Sparsity in Deep Neural Networks
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2016
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Wei Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Li
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Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
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2019
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Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
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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 DollĂĄr
Zhuowen Tu
Kaiming He
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Training Sparse Neural Networks
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2017
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Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
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Knowledge Graph Representation with Jointly Structural and Textual Encoding
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2017
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Jiacheng Xu
Xipeng Qiu
Kan Chen
Xuanjing Huang
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Modeling Relational Data with Graph Convolutional Networks
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2018
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Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
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Max Welling
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Coordinating Filters for Faster Deep Neural Networks
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2017
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Wei Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Li
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Convolutional 2D Knowledge Graph Embeddings
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2018
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Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
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Distilling a Neural Network Into a Soft Decision Tree
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Nicholas Frosst
Geoffrey E. Hinton
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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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Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
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2019
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Shaohui Lin
Rongrong Ji
Chenqian Yan
Baochang Zhang
Liujuan Cao
Qixiang Ye
Feiyue Huang
David Doermann
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Extreme Network Compression via Filter Group Approximation
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2018
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Bo Peng
Wenming Tan
Zheyang Li
Shun Zhang
Di Xie
Shiliang Pu
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AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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2018
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Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
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Multi-Hop Knowledge Graph Reasoning with Reward Shaping
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2018
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Xi Lin
Richard Socher
Caiming Xiong
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1
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Dynamic Channel Pruning: Feature Boosting and Suppression
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2018
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Xitong Gao
Yiren Zhao
Ćukasz Dudziak
Robert Mullins
ChengâZhong Xu
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Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
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2019
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Hongwei Wang
Fuzheng Zhang
Miao Zhao
Wenjie Li
Xing Xie
Minyi Guo
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Deep Networks with Stochastic Depth
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2016
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Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
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StaticGreedy: solving the scalability-accuracy dilemma in influence maximization
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2012
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Suqi Cheng
Huawei Shen
Junming Huang
Guoqing Zhang
Xueqi Cheng
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OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
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2019
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Jiashi Li
Qi Qi
Jingyu Wang
Ce Ge
Yujian Li
Zhangzhang Yue
Haifeng Sun
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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
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2015
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Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
Bryan Catanzaro
Jingdong Chen
Mike Chrzanowski
Adam Coates
Greg Diamos
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AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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2018
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Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
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1
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
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2014
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Kyunghyun Cho
Bart van Merriënboer
Ăaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
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Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
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2019
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Deepak Nathani
Jatin Chauhan
Charu Sharma
Manohar Kaul
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Reinforcement Learning for Relation Classification From Noisy Data
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2018
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Jun Feng
Minlie Huang
Zhao Li
Yang Yang
Xiaoyan Zhu
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Variational Dropout Sparsifies Deep Neural Networks
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2017
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Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
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1
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Uncovering the Temporal Dynamics of Diffusion Networks
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2011
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Manuel Gomez-Rodriguez
David Balduzzi
Bernhard Schölkopf
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Popularity Prediction in Microblogging Network: A Case Study on Sina Weibo
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Peng Bao
Huawei Shen
Junming Huang
Xueqi Cheng
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SqueezeNext: Hardware-Aware Neural Network Design
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2018
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Amir Gholami
Kiseok Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter Jin
Sicheng Zhao
Kurt Keutzer
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1
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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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1
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Improving Transferability of Adversarial Examples With Input Diversity
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2019
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Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
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1
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Learning Efficient Convolutional Networks through Network Slimming
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2017
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Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
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1
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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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DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
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2017
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Wenhan Xiong
Thien Hoang
William Yang Wang
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Deflecting Adversarial Attacks with Pixel Deflection
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2018
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Aaditya Prakash
Nick Moran
Solomon Garber
Antonella DiLillo
James A. Storer
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Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
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2018
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Pengda Qin
Weiran Xu
William Yang Wang
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1
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Inferring networks of diffusion and influence
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2010
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Manuel Gomez-Rodriguez
Jure Leskovec
Andreas Krause
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1
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