Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,212 papers shown

Title
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Reinforced Co-Training Jiawei Wu Lei Li William Yang Wang OffRL 25 51 0 17 Apr 2018
Decoupled Novel Object Captioner Yuehua Wu Linchao Zhu Lu Jiang Yi Yang 18 62 0 11 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 15 177 0 10 Apr 2018
Personalized Classifier for Food Image Recognition Shota Horiguchi Sosuke Amano Makoto Ogawa Kiyoharu Aizawa 8 71 0 08 Apr 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 30 38 0 05 Apr 2018
Learning Structure and Strength of CNN Filters for Small Sample Size Training Rohit Keshari Mayank Vatsa Richa Singh A. Noore 16 82 0 30 Mar 2018
Fast Parametric Learning with Activation Memorization Jack W. Rae Chris Dyer Peter Dayan Timothy Lillicrap KELM 41 46 0 27 Mar 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 22 281 0 15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,306 0 12 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 27 92 0 08 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 99 2,217 0 08 Mar 2018
LSTD: A Low-Shot Transfer Detector for Object Detection Hao Chen Yali Wang Guoyou Wang Yu Qiao ObjD 33 337 0 05 Mar 2018
Memory-based Parameter Adaptation Pablo Sprechmann Siddhant M. Jayakumar Jack W. Rae Alexander Pritzel Adria Puigdomenech Badia Benigno Uria Oriol Vinyals Demis Hassabis Razvan Pascanu Charles Blundell ODL OOD VLM 16 101 0 28 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 34 388 0 22 Feb 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal Arthur Gretton J. Dambre BDL 24 33 0 21 Feb 2018
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing Somnath Basu Roy Chowdhury K. Annervaz Ambedkar Dukkipati 22 10 0 16 Feb 2018
Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt J. Nathan Kutz 24 31 0 15 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 39 158 0 12 Feb 2018
Few-shot learning of neural networks from scratch by pseudo example optimization Akisato Kimura Zoubin Ghahramani Koh Takeuchi Tomoharu Iwata N. Ueda 35 52 0 08 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 26 505 0 26 Jan 2018
Feature Space Transfer for Data Augmentation Bo Liu Xudong Wang Mandar Dixit Roland Kwitt Nuno Vasconcelos CVBM 24 93 0 13 Jan 2018
A Computational Model of Commonsense Moral Decision Making Richard Kim Max Kleiman-Weiner A. Abeliuk E. Awad Sohan Dsouza J. Tenenbaum Iyad Rahwan 25 56 0 12 Jan 2018
Deep Nearest Class Mean Model for Incremental Odor Classification Yu Cheng Kin-Yeung Wong Kevin Hung Zhizhong Li Weitong Li Jun Zhang 29 10 0 08 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 21 13 0 28 Dec 2017
A Bridge Between Hyperparameter Optimization and Learning-to-learn Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 35 20 0 18 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 39 275 0 30 Nov 2017
Learning to cluster in order to transfer across domains and tasks Yen-Chang Hsu Zhaoyang Lv Z. Kira OOD 40 216 0 28 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 92 4,017 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 68 1,066 0 12 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 889 0 11 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 41 88 0 27 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris N. Metaxas GAN 41 1,050 0 19 Oct 2017
Recent Advances in Zero-shot Recognition Yanwei Fu Tao Xiang Yu-Gang Jiang Xiangyang Xue Leonid Sigal S. Gong BDL VLM 21 175 0 13 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks Danfei Xu Suraj Nair Yuke Zhu J. Gao Animesh Garg Li Fei-Fei Silvio Savarese 25 193 0 04 Oct 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Zichen Liu Irfan Essa Byron Boots SSeg VLM 30 693 0 11 Sep 2017
Learning Non-Metric Visual Similarity for Image Retrieval Noa Garcia George Vogiatzis 27 37 0 05 Sep 2017
Learning to Predict Charges for Criminal Cases with Legal Basis Bingfeng Luo Yansong Feng Jianbo Xu Xiang Zhang Dongyan Zhao AILaw 19 266 0 28 Jul 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 26 553 0 12 Jun 2017
Retrosynthetic reaction prediction using neural sequence-to-sequence models Bowen Liu Bharath Ramsundar Prasad Kawthekar Jade Shi Joseph Gomes Quang Luu Nguyen Stephen Ho Jack L. Sloane P. Wender Vijay S. Pande 25 411 0 06 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard Turner VLM 20 71 0 01 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 37 82 0 29 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs Ivo Danihelka Balaji Lakshminarayanan Benigno Uria Daan Wierstra Peter Dayan GAN 24 53 0 15 May 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective Jing Zhang Wanqing Li P. Ogunbona Dong Xu OOD 27 46 0 11 May 2017
End-to-end representation learning for Correlation Filter based tracking Jack Valmadre Luca Bertinetto João F. Henriques Andrea Vedaldi Philip Torr 36 1,396 0 20 Apr 2017
Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields Behzad Hassani Mohammad H. Mahoor CVBM 33 86 0 20 Mar 2017
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 16 121 0 20 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 57 8,009 0 15 Mar 2017
Learning to Remember Rare Events Lukasz Kaiser Ofir Nachum Aurko Roy Samy Bengio RALM CLL 31 363 0 09 Mar 2017