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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
Grounded Language Learning Fast and Slow Felix Hill O. Tieleman Tamara von Glehn Nathaniel Wong Hamza Merzic S. Clark LM&Ro 152 81 0 03 Sep 2020
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images Zixuan Xiao P. Zhong Yu Quan Xuping Yin Wei Xue ObjD 22 9 0 03 Sep 2020
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily Han Xu Yaxin Li Xiaorui Liu Hui Liu Jiliang Tang AAML 125 10 0 02 Sep 2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction Ziyi Yang Jun Shu Yong Liang Deyu Meng Zongben Xu 43 2 0 02 Sep 2020
Online Class-Incremental Continual Learning with Adversarial Shapley Value Dongsub Shim Zheda Mai Jihwan Jeong Scott Sanner Hyunwoo J. Kim Jongseong Jang CLL 53 6 0 31 Aug 2020
Few-Shot Object Detection via Knowledge Transfer Geonuk Kim Hong G Jung Seong-Whan Lee ObjD 90 28 0 28 Aug 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 124 96 0 27 Aug 2020
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings Alexander Wang Mengye Ren R. Zemel SSL 60 22 0 27 Aug 2020
Meta-Learning with Shared Amortized Variational Inference E. Iakovleva Jakob Verbeek Alahari Karteek OOD FedML BDL 55 22 0 27 Aug 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 83 79 0 25 Aug 2020
Learning to Learn in a Semi-Supervised Fashion Yun-Chun Chen Chao-Te Chou Y. Wang SSL 94 6 0 25 Aug 2020
Leveraging Organizational Resources to Adapt Models to New Data Modalities S. Suri Raghuveer Chanda Neslihan Bulut P. Narayana Yemao Zeng Peter Bailis Sugato Basu G. Narlikar Christopher Ré Abishek Sethi VLM OffRL 57 11 0 23 Aug 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning Jianyi Li Guizhong Liu VLM SSL MQ 46 13 0 23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-Xiong Wang Kris Kitani Ruslan Salakhutdinov M. Hebert VLM 59 3 0 22 Aug 2020
Supervision Levels Scale (SLS) Dima Damen Michael Wray 37 1 0 22 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 49 9 0 20 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 102 22 0 18 Aug 2020
A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection Wenqi Wei Jianzong Wang J. Ma Ning Cheng Jing Xiao 50 21 0 18 Aug 2020
A Self-supervised GAN for Unsupervised Few-shot Object Recognition Khoi Duc Minh Nguyen S. Todorovic SSL 61 5 0 16 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao Yu-Xiong Wang M. Hebert 89 11 0 16 Aug 2020
PointMixup: Augmentation for Point Clouds Yunlu Chen Vincent Tao Hu E. Gavves Thomas Mensink Pascal Mettes Pengwan Yang Cees G. M. Snoek 3DPC 76 158 0 14 Aug 2020
Unsupervised vs. transfer learning for multimodal one-shot matching of speech and images Leanne Nortje Herman Kamper SSL 40 9 0 14 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 125 108 0 13 Aug 2020
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras Homagni Saha Sin Yong Tan Ali Saffari Mohamad Katanbaf Joshua R. Smith Soumik Sarkar 49 3 0 13 Aug 2020
An Overview of Deep Learning Architectures in Few-Shot Learning Domain Shruti Jadon Aryan Jadon VLM 108 56 0 12 Aug 2020
Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters Yilei Zeng Deren Lei Beichen Li Gangrong Jiang Emilio Ferrara M. Zyda LRM 40 3 0 12 Aug 2020
Learning to See Through Obstructions with Layered Decomposition Yu-Lun Liu Wei-Sheng Lai Ming-Hsuan Yang Yung-Yu Chuang Jia-Bin Huang 64 19 0 11 Aug 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi Dinghuai Zhang Qi Dai Zhanxing Zhu Yadong Mu Jingdong Wang OOD 72 112 0 10 Aug 2020
ARCADe: A Rapid Continual Anomaly Detector A. Frikha Denis Krompass Volker Tresp 72 11 0 10 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 53 35 0 10 Aug 2020
Unravelling Small Sample Size Problems in the Deep Learning World Rohit Keshari Soumyadeep Ghosh S. Chhabra Mayank Vatsa Richa Singh 105 33 0 08 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 50 16 0 07 Aug 2020
Few-Shot Drum Transcription in Polyphonic Music Yu Wang Justin Salamon M. Cartwright Nicholas J. Bryan J. P. Bello 151 20 0 06 Aug 2020
Few-shot Classification via Adaptive Attention Zihang Jiang Bingyi Kang Kuangqi Zhou Jiashi Feng 56 19 0 06 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Weijie Zhao Chenghan Fu Liqing Zhang GAN 95 87 0 05 Aug 2020
I-AID: Identifying Actionable Information from Disaster-related Tweets Hamada M. Zahera Rricha Jalota M. A. Sherif A. N. Ngomo 58 14 0 04 Aug 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 101 111 0 04 Aug 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Zhuotao Tian Hengshuang Zhao Michelle Shu Zhicheng Yang Ruiyu Li Jiaya Jia 99 520 0 04 Aug 2020
Online Few-shot Gesture Learning on a Neuromorphic Processor Kenneth Stewart Garrick Orchard S. Shrestha Emre Neftci 82 38 0 03 Aug 2020
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification Gabriel L. S. Machado E. Ferreira Keiller Nogueira Hugo Oliveira P. H. T. Gama J. D. Santos 61 22 0 03 Aug 2020
A Foliated View of Transfer Learning Janith C. Petangoda Nick A. M. Monk M. Deisenroth 66 3 0 02 Aug 2020
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records Jiatu Shi Huaxiu Yao Xian Wu Tong Li Zedong Lin Tengfei Wang Binqiang Zhao 51 1 0 01 Aug 2020
Designing Neural Speaker Embeddings with Meta Learning Manoj Kumar Tae Jin Park Somer Bishop Shrikanth Narayanan 88 10 0 31 Jul 2020
Bilevel Continual Learning Quang Pham Doyen Sahoo Chenghao Liu Guosheng Lin CLL 83 11 0 30 Jul 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 87 54 0 30 Jul 2020
Improving Sample Efficiency with Normalized RBF Kernels Sebastian Pineda-Arango David Obando-Paniagua A. Dedeoğlu P. Kurzendörfer Friedemann Schestag Randolf Scholz 24 5 0 30 Jul 2020
Meta-Learning with Context-Agnostic Initialisations Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen CLL 47 2 0 29 Jul 2020
A Hybrid Approach to Audio-to-Score Alignment Ruchit Agrawal S. Dixon 60 5 0 28 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 130 84 0 26 Jul 2020
Few-Shot Keyword Spotting With Prototypical Networks Archit Parnami Minwoo Lee 44 32 0 25 Jul 2020