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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 85 84 0 22 May 2018
AgileNet: Lightweight Dictionary-based Few-shot Learning M. Ghasemzadeh Fang Lin B. Rouhani F. Koushanfar Ke Huang 32 5 0 21 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 114 932 0 21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 94 464 0 20 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Yu Cheng Gerald Tesauro Haoyu Wang Bowen Zhou 69 216 0 19 May 2018
Resisting Large Data Variations via Introspective Transformation Network Yunhan Zhao Ye Tian Charless C. Fowlkes Wei Shen Alan Yuille 76 1 0 16 May 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 161 889 0 16 May 2018
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding Bingfeng Luo Yansong Feng Zheng Wang Songfang Huang Rui Yan Dongyan Zhao 99 39 0 15 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 73 125 0 11 May 2018
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 224 104 0 10 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 84 122 0 10 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 196 3,475 0 05 May 2018
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification Lin Wu Yang Wang Junbin Gao Dacheng Tao 63 21 0 30 Apr 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 80 1,132 0 25 Apr 2018
Memory Matching Networks for One-Shot Image Recognition Qi Cai Yingwei Pan Ting Yao C. Yan Tao Mei VLM 78 265 0 23 Apr 2018
Deep Triplet Ranking Networks for One-Shot Recognition Meng Ye Yuhong Guo 59 36 0 19 Apr 2018
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach Decebal Constantin Mocanu Elena Mocanu BDL VLM DRL 62 18 0 18 Apr 2018
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 89 530 0 18 Apr 2018
Reinforced Co-Training Jiawei Wu Lei Li William Yang Wang OffRL 92 51 0 17 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 90 236 0 15 Apr 2018
Decoupled Novel Object Captioner Yuehua Wu Linchao Zhu Lu Jiang Yi Yang 82 63 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 74 177 0 10 Apr 2018
Improving Confidence Estimates for Unfamiliar Examples Zhizhong Li Derek Hoiem 106 10 0 09 Apr 2018
Personalized Classifier for Food Image Recognition Shota Horiguchi Sosuke Amano Makoto Ogawa Kiyoharu Aizawa 60 71 0 08 Apr 2018
Associative Compression Networks for Representation Learning Alex Graves Jacob Menick Aaron van den Oord CML 59 20 0 06 Apr 2018
Differentiable plasticity: training plastic neural networks with backpropagation Thomas Miconi Jeff Clune Kenneth O. Stanley AI4CE 90 154 0 06 Apr 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 77 38 0 05 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning Luke Metz Niru Maheswaranathan Brian Cheung Jascha Narain Sohl-Dickstein SSL OOD 85 123 0 31 Mar 2018
Learning Structure and Strength of CNN Filters for Small Sample Size Training Rohit Keshari Mayank Vatsa Richa Singh A. Noore 58 82 0 30 Mar 2018
Learning to generate classifiers N. Guttenberg Ryota Kanai 16 3 0 30 Mar 2018
Fast Parametric Learning with Activation Memorization Jack W. Rae Chris Dyer Peter Dayan Timothy Lillicrap KELM 156 47 0 27 Mar 2018
HAMLET: Interpretable Human And Machine co-LEarning Technique Olivier Deiss Siddharth Biswal Jing Jin Haoqi Sun M. P. M. Brandon Westover Jimeng Sun 60 11 0 26 Mar 2018
One-Shot Segmentation in Clutter Claudio Michaelis Matthias Bethge Alexander S. Ecker 73 40 0 26 Mar 2018
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data Xi Yin Xiang Yu Kihyuk Sohn Xiaoming Liu Manmohan Chandraker CVBM 78 35 0 23 Mar 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 74 285 0 15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 134 1,320 0 12 Mar 2018
Neural Conditional Gradients P. Schramowski Christian Bauckhage Kristian Kersting 55 2 0 12 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting Sumanth Dathathri Stephan Zheng Tianwei Yin Richard M. Murray Yisong Yue MLAU AAML 48 0 0 11 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 68 94 0 08 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 258 2,240 0 08 Mar 2018
LSTD: A Low-Shot Transfer Detector for Object Detection Hao Chen Yali Wang Guoyou Wang Yu Qiao ObjD 80 345 0 05 Mar 2018
Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang Chenglong Wang Rishabh Singh Wen-tau Yih Xiaodong He 99 123 0 02 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 85 1,287 0 02 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 93 102 0 28 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 83 398 0 22 Feb 2018
xView: Objects in Context in Overhead Imagery Darius Lam Richard Kuzma Kevin McGee Samuel Dooley Michael Laielli Matthew K. Klaric Yaroslav Bulatov Brendan McCord ObjD 75 326 0 22 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 275 2,911 0 21 Feb 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal Arthur Gretton J. Dambre BDL 66 34 0 21 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 121 349 0 20 Feb 2018
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing Somnath Basu Roy Chowdhury K. Annervaz Ambedkar Dukkipati 48 10 0 16 Feb 2018