Few-Shot Learning with Graph Neural Networks

10 November 2017

Joan Bruna

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

41 / 191 papers shown

Title
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 27 38 0 22 Aug 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 18 114 0 14 Aug 2019
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking Xiaolong Jiang Peizhao Li Yanjing Li Xiantong Zhen VOT 29 32 0 11 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 19 93 0 06 Jul 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 21 235 0 27 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification Zhiquan Ye Zhenhua Ling 27 134 0 16 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 24 29 0 28 May 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-xiong Wang Lin Ma Wei Liu M. Hebert 15 217 0 28 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 21 71 0 10 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 30 128 0 17 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 24 1,751 0 08 Apr 2019
Learning Context Graph for Person Search Yichao Yan Qiang Zhang Bingbing Ni Wendong Zhang Minghao Xu Xiaokang Yang 27 188 0 03 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 36 56 0 31 Mar 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 22 484 0 28 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Shangsheng Xie Mingming Lu FAtt GNN 31 16 0 09 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 33 143 0 08 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 51 612 0 07 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 37 12 0 26 Feb 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 22 227 0 06 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 159 8,356 0 03 Jan 2019
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 23 63 0 20 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,400 0 20 Dec 2018
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition Hao Huang Luowei Zhou Wei Zhang Jason J. Corso Chenliang Xu 21 3 0 13 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 39 1,321 0 11 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 53 657 0 10 Dec 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection Chenhan Jiang Hang Xu Xiangdan Liang Liang Lin VLM ObjD 36 86 0 30 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 19 601 0 24 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
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 24 40 0 11 Oct 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 103 3,080 0 04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 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
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 45 263 0 24 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 52 456 0 20 May 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 21 296 0 28 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 22 76 0 16 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 344 11,684 0 09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016