Few-Shot Learning with Graph Neural Networks

10 November 2017

Joan Bruna

Papers citing "Few-Shot Learning with Graph Neural Networks"

50 / 191 papers shown

Title
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 42 28 0 03 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 29 29 0 30 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 17 2 0 19 Nov 2020
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 8 49 0 30 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 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 15 34 0 20 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Bernard Ghanem Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 106 74 0 19 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 30 46 0 08 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 28 10 0 03 Sep 2020
Adaptive Context-Aware Multi-Modal Network for Depth Completion Shanshan Zhao Biwei Huang Huan Fu Dacheng Tao 21 152 0 25 Aug 2020
EmoGraph: Capturing Emotion Correlations using Graph Networks Peng-Tao Xu Zihan Liu Genta Indra Winata Zhaojiang Lin Pascale Fung 29 23 0 21 Aug 2020
I-AID: Identifying Actionable Information from Disaster-related Tweets Hamada M. Zahera Rricha Jalota M. A. Sherif A. N. Ngomo 8 13 0 04 Aug 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 19 153 0 31 Jul 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 314 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chia-Ju Chen Turkay Kart Huaqi Qiu Daniel Rueckert 22 205 0 20 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Anton van den Hengel S. Hoi 25 54 0 17 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 30 163 0 15 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 21 106 0 05 Jul 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 17 156 0 23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation Ali Hatamizadeh SSeg 29 3 0 23 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 32 105 0 22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection Shivangi Aneja Matthias Nießner 21 42 0 21 Jun 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 16 118 0 18 Jun 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 27 34 0 11 Jun 2020
Cross-Domain Few-Shot Learning with Meta Fine-Tuning J. Cai S. Shen 20 29 0 21 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 19 47 0 09 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 49 1,928 0 11 Apr 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation Zhibo Fan Jin-Gang Yu Zhihao Liang Jiarong Ou Changxin Gao Guisong Xia Yuanqing Li 29 69 0 31 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 26 317 0 26 Mar 2020
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images Sharib Ali Binod Bhattarai Tae-Kyun Kim J. Rittscher 38 18 0 23 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 29 5 0 18 Mar 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 386 0 23 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip Torr SSL 34 59 0 12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention Hongguang Zhang Li Zhang Xiaojuan Qi Hongdong Li Philip Torr Piotr Koniusz 19 3 0 12 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks Zhiyong Dou Haotian Cui Lin Zhang Bo Wang DiffM GNN 18 6 0 05 Jan 2020
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion Sijie Mai Haifeng Hu Songlong Xing GAN 32 182 0 18 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification Da Chen YueFeng Chen Yuhong Li Feng Mao Yuan He Hui Xue SSL 16 108 0 14 Nov 2019
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning Sadaf Gull F. Minhas 21 10 0 28 Oct 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 208 244 0 16 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 22 168 0 08 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 24 182 0 05 Oct 2019
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases Xin Guo Luisa F. Polanía Bin Zhu C. Boncelet Kenneth Barner 16 28 0 19 Sep 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 26 96 0 11 Sep 2019