Sometimes You Want to Go Where Everybody Knows your Name

30 January 2018

Papers citing "Sometimes You Want to Go Where Everybody Knows your Name"

24 / 24 papers shown

Title
Few-shot Object Detection via Feature Reweighting Bingyi Kang Zhuang Liu Xin Wang Feng Yu Jiashi Feng Trevor Darrell ObjD OffRL 85 697 0 05 Dec 2018
Metalearning with Hebbian Fast Weights Tsendsuren Munkhdalai Adam Trischler VLM FedML 40 37 0 12 Jul 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 56 154 0 06 Apr 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 143 693 0 25 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 171 19,262 0 13 Jan 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 83 1,632 0 27 Nov 2017
Recent Advances in Zero-shot Recognition Yanwei Fu Tao Xiang Yu-Gang Jiang Xiangyang Xue Leonid Sigal S. Gong BDL VLM 43 178 0 13 Oct 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 50 43 0 18 Sep 2017
Measuring Catastrophic Forgetting in Neural Networks Ronald Kemker Marc McClure Angelina Abitino Tyler L. Hayes Christopher Kanan CLL 105 719 0 07 Aug 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 148 1,807 0 30 May 2017
Attend to You: Personalized Image Captioning with Context Sequence Memory Networks C. C. Park Byeongchang Kim Gunhee Kim 52 173 0 21 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,813 0 17 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 285 8,129 0 15 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 337 7,478 0 02 Dec 2016
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning Zheqian Chen Ben Gao Huimin Zhang Zhou Zhao Deng Cai 29 16 0 24 Nov 2016
Using Fast Weights to Attend to the Recent Past Jimmy Ba Geoffrey E. Hinton Volodymyr Mnih Joel Z Leibo Catalin Ionescu 61 271 0 20 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 293 4,636 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 126 1,895 0 08 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 149 3,656 0 24 Jun 2016
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking Rami Al-Rfou Marc Pickett J. Snaider Yun-hsuan Sung B. Strope R. Kurzweil HAI 60 92 0 01 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,472 0 01 Sep 2014