Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

41 / 991 papers shown

Title
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 19 2,213 0 08 Mar 2018
LSTD: A Low-Shot Transfer Detector for Object Detection Hao Chen Yali Wang Guoyou Wang Yu Qiao ObjD 25 337 0 05 Mar 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 A. 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 20 10 0 16 Feb 2018
Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt J. Nathan Kutz 16 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 31 158 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 27 52 0 08 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas L. Griffiths BDL 21 506 0 26 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 20 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 21 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 27 20 0 18 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 37 275 0 30 Nov 2017
Learning to cluster in order to transfer across domains and tasks Yen-Chang Hsu Zhaoyang Lv Z. Kira OOD 29 216 0 28 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales 47 4,014 0 16 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 31 1,065 0 12 Nov 2017
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 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 38 88 0 27 Oct 2017
Recent Advances in Zero-shot Recognition Yanwei Fu Tao Xiang Yu-Gang Jiang Xiangyang Xue Leonid Sigal S. Gong BDL VLM 16 175 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 14 193 0 04 Oct 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 21 26 0 27 Sep 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 20 411 0 06 Jun 2017
Discriminative k-shot learning using probabilistic models Matthias Bauer Mateo Rojas-Carulla J. Swiatkowski Bernhard Schölkopf Richard Turner VLM 18 71 0 01 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric P. Xing CML 35 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 H. S. Torr 15 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 17 86 0 20 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 34 7,999 0 15 Mar 2017
Learning to Remember Rare Events Lukasz Kaiser Ofir Nachum Aurko Roy Samy Bengio RALM CLL 23 362 0 09 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 17 344 0 06 Mar 2017
Attentive Recurrent Comparators Pranav Shyam Shubham Gupta Ambedkar Dukkipati VLM 14 108 0 02 Mar 2017
Active One-shot Learning Mark P. Woodward Chelsea Finn VLM OffRL 8 130 0 21 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dynamic Key-Value Memory Networks for Knowledge Tracing Jiani Zhang Xingjian Shi Irwin King Dit-Yan Yeung AI4Ed KELM 29 595 0 24 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 31 1,007 0 09 Nov 2016
Energy-based Generative Adversarial Network J. Zhao Michaël Mathieu Yann LeCun GAN 56 1,108 0 11 Sep 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features Bharath Hariharan Ross B. Girshick VLM 25 49 0 09 Jun 2016