Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,212 papers shown

Title
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild Lianghua Huang Xin Zhao Kaiqi Huang 46 1,323 0 29 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 33 768 0 29 Oct 2018
Training neural audio classifiers with few data Jordi Pons Joan Serrà Xavier Serra 24 57 0 24 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation Xu Han Hao Zhu Pengfei Yu Ziyun Wang Yuan Yao Zhiyuan Liu Maosong Sun SLR 19 602 0 24 Oct 2018
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation Xiaolin Zhang Yunchao Wei Yi Yang Thomas Huang VLM 20 458 0 22 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 28 64 0 19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 30 181 0 16 Oct 2018
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 18 37 0 08 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 34 756 0 08 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 38 135 0 08 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 37 229 0 04 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 11 275 0 01 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 40 71 0 30 Sep 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 18 8 0 29 Sep 2018
Sample Efficient Adaptive Text-to-Speech Yutian Chen Yannis Assael Brendan Shillingford David Budden Scott E. Reed ... Ben Laurie Çağlar Gülçehre Aaron van den Oord Oriol Vinyals Nando de Freitas 35 149 0 27 Sep 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 35 110 0 17 Sep 2018
Towards Effective Deep Embedding for Zero-Shot Learning Lei Zhang Peng Wang Lingqiao Liu Chunhua Shen Wei Wei Yanning Zhang Anton Van Den Hengel VLM 13 71 0 30 Aug 2018
Zero-shot Transfer Learning for Semantic Parsing J. Dadashkarimi Alexander R. Fabbri S. Tatikonda Dragomir R. Radev 23 4 0 27 Aug 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 22 144 0 14 Aug 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data Carola Figueroa Flores Abel Gonzalez-Garcia Joost van de Weijer Bogdan Raducanu 27 50 0 01 Aug 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction Alberto Rossi Gianni Barlacchi Monica Bianchini Bruno Lepri 10 31 0 21 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 23 2,004 0 10 Jul 2018
Large Margin Few-Shot Learning Yong Wang Xiao-Ming Wu Qimai Li Jiatao Gu Wangmeng Xiang Lei Zhang V. Li MQ 31 29 0 08 Jul 2018
Learning models for visual 3D localization with implicit mapping Dan Rosenbaum F. Besse Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami 22 30 0 04 Jul 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 19 506 0 04 Jul 2018
Tracking Emerges by Colorizing Videos Carl Vondrick Abhinav Shrivastava Alireza Fathi S. Guadarrama Kevin Patrick Murphy 39 375 0 25 Jun 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 24 21 0 20 Jun 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 24 5 0 16 Jun 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 36 21 0 13 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 0 11 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 228 498 0 11 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 33 39 0 11 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition Xiangyu Zhu Hao Liu Zhen Lei Hailin Shi Fan Yang Dong Yi Guojun Qi Stan Z. Li CVBM 29 47 0 08 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification Xiang Jiang Mohammad Havaei Gabriel Chartrand Hassan Chouaib Thomas Vincent Andrew Jesson Nicolas Chapados Stan Matwin VLM 14 18 0 03 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 37 118 0 25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 22 666 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 45 263 0 24 May 2018
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels Or Litany Daniel Freedman NoLa 28 13 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 56 1,303 0 23 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,310 0 23 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 24 84 0 22 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 52 456 0 20 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 19 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 27 124 0 11 May 2018
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 28 100 0 10 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 32 119 0 10 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 76 3,414 0 05 May 2018