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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

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Title
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction Haiyang Yu Ningyu Zhang Shumin Deng Hongbin Ye Wei Zhang Huajun Chen 69 49 0 30 Oct 2020
Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture Gideon Kowadlo Abdelrahman Ahmed D. Rawlinson 44 4 0 30 Oct 2020
How Does the Task Landscape Affect MAML Performance? Liam Collins Aryan Mokhtari Sanjay Shakkottai 76 4 0 27 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference Jianguo Zhang Kazuma Hashimoto Wenhao Liu Chien-Sheng Wu Yao Wan Philip S. Yu R. Socher Caiming Xiong 105 93 0 25 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 76 1 0 23 Oct 2020
One-shot Learning for Temporal Knowledge Graphs Mehrnoosh Mirtaheri Mohammad Rostami Xiang Ren Fred Morstatter Aram Galstyan 108 22 0 23 Oct 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 84 27 0 23 Oct 2020
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations Tristan Sylvain Linda Petrini R. Devon Hjelm VLM 49 7 0 22 Oct 2020
Few-shot Image Recognition with Manifolds Debasmit Das J. Moon C. S. George Lee 80 9 0 22 Oct 2020
Restoring Negative Information in Few-Shot Object Detection Yukuan Yang Fangyun Wei Miaojing Shi Guoqi Li ObjD 113 62 0 22 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip Torr CLL 72 125 0 22 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 90 28 0 22 Oct 2020
Task-Adaptive Feature Transformer for Few-Shot Segmentation Jun Seo Younghyun Park Sung Whan Yoon Jaekyun Moon ViT 39 5 0 22 Oct 2020
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training Yingyao Wang Junwei Bao Guangyi Liu Youzheng Wu Xiaodong He Bowen Zhou Tiejun Zhao 70 41 0 21 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 74 36 0 20 Oct 2020
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples Lei Cai Zhengyang Wang Robert Kulathinal Sudhir Kumar Shuiwang Ji 12 6 0 20 Oct 2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition Yuqian Fu Li Zhang Junke Wang Yanwei Fu Yu-Gang Jiang 85 99 0 20 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah 48 7 0 19 Oct 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders Masha Itkina Boris Ivanovic Ransalu Senanayake Mykel J. Kochenderfer Marco Pavone 128 18 0 19 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 89 137 0 18 Oct 2020
Learning from similarity and information extraction from structured documents Martin Holecek 32 5 0 17 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 86 23 0 17 Oct 2020
Example-Driven Intent Prediction with Observers Shikib Mehri Mihail Eric 72 40 0 17 Oct 2020
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization Biao Zhang Peter Wonka 3DPC 60 4 0 16 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 217 262 0 15 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 128 109 0 15 Oct 2020
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs Jueqing Lu Lan Du Ming-Yuan Liu Joanna Dipnall 58 41 0 15 Oct 2020
Theoretical bounds on estimation error for meta-learning James Lucas Mengye Ren Irene Kameni T. Pitassi R. Zemel 51 12 0 14 Oct 2020
Function Contrastive Learning of Transferable Meta-Representations Muhammad Waleed Gondal S. Joshi Nasim Rahaman Stefan Bauer Manuel Wüthrich Bernhard Schölkopf SSL 52 19 0 14 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 93 77 0 14 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 101 45 0 13 Oct 2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization Congqi Cao Yajuan Li Qinyi Lv Peng Wang Yanning Zhang 64 32 0 13 Oct 2020
How Important is the Train-Validation Split in Meta-Learning? Yu Bai Minshuo Chen Pan Zhou T. Zhao Jason D. Lee Sham Kakade Haiquan Wang Caiming Xiong 96 53 0 12 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs Tomoharu Iwata 25 0 0 12 Oct 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 62 50 0 11 Oct 2020
Domain Agnostic Learning for Unbiased Authentication Jian Liang Yuren Cao Shuang Li Bing Bai Hao Li Fei Wang Kun Bai OOD 60 0 0 11 Oct 2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization Jiyang Xie Zhanyu Ma and Jianjun Lei Guoqiang Zhang Jing-Hao Xue Zheng-Hua Tan Jun Guo BDL 26 46 0 11 Oct 2020
General stochastic separation theorems with optimal bounds Bogdan Grechuk A. Gorban I. Tyukin 57 16 0 11 Oct 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 90 82 0 11 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 98 11 0 09 Oct 2020
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 62 14 0 09 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 201 335 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Aoxiang Fan Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 57 55 0 07 Oct 2020
Dif-MAML: Decentralized Multi-Agent Meta-Learning Mert Kayaalp Stefan Vlaski Ali H. Sayed 50 29 0 06 Oct 2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty Ramakrishna Vedantam Arthur Szlam Maximilian Nickel Ari S. Morcos Brenden M. Lake UQLM LRM 70 27 0 06 Oct 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation Minki Kang Moonsu Han Sung Ju Hwang OOD 81 18 0 06 Oct 2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start Wenpeng Yin Nazneen Rajani Dragomir R. Radev R. Socher Caiming Xiong 90 69 0 06 Oct 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection Hoang Nguyen Chenwei Zhang Congying Xia Philip S. Yu 85 27 0 06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 53 20 0 06 Oct 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning Yi Yang Arzoo Katiyar NAI 81 65 0 06 Oct 2020