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
FS6D: Few-Shot 6D Pose Estimation of Novel Objects Yisheng He Yao Wang Haoqiang Fan Jian Sun Qifeng Chen 33 83 0 28 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 31 22 0 15 Mar 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 23 3 0 04 Feb 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 16 31 0 20 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 24 59 0 13 Dec 2021
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction Joshua Fan Junwen Bai Zhiyun Li Ariel Ortiz-Bobea Carla P. Gomes 17 66 0 17 Nov 2021
Discovering Latent Representations of Relations for Interacting Systems Dohae Lee Young-Jin Oh In-Kwon Lee BDL 24 1 0 10 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 21 1 0 08 Nov 2021
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution Chenyu You Lianyi Han Aosong Feng Ruihan Zhao Hui Tang Wei Fan 16 13 0 28 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction Umut Guvercin Mohammed Amine Gharsallaoui I. Rekik 34 6 0 06 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 26 0 0 22 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 18 1 0 20 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 27 23 0 13 Sep 2021
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN Shubham Paliwal Monika Sharma L. Vig 23 13 0 08 Sep 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 16 0 0 24 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 57 18 0 11 Aug 2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning Xinzhi Dong Chengjiang Long Wenju Xu Chunxia Xiao ViT 76 66 0 05 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 31 0 02 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 24 0 29 Jul 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 30 21 0 26 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 32 19 0 23 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 18 25 0 20 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 39 68 0 16 Jul 2021
Graph Representation Learning for Road Type Classification Zahra Gharaee S. Kowshik Oliver Stromann M. Felsberg GNN 19 30 0 16 Jul 2021
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks Christopher Xie Arsalan Mousavian Yu Xiang D. Fox 23 19 0 29 Jun 2021
Predicting cognitive scores with graph neural networks through sample selection learning M. Hanik Mehmet Arif Demirtas Mohammed Amine Gharsallaoui I. Rekik 16 13 0 17 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 28 50 0 16 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 17 47 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 27 22 0 09 Jun 2021
Entity Concept-enhanced Few-shot Relation Extraction Shan Yang Yongfei Zhang Guanglin Niu Qinghua Zhao Shiliang Pu 20 63 0 04 Jun 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 13 39 0 29 May 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 29 119 0 29 Apr 2021
Mini-batch graphs for robust image classification Arnab Kumar Mondal V. Jain K. Siddiqi OOD 38 6 0 22 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 26 288 0 04 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 23 4 0 01 Apr 2021
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video Zixu Zhao Yueming Jin Bo Lu Chi-Fai Ng Qi Dou Yunhui Liu Pheng-Ann Heng 22 24 0 24 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 24 21 0 21 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu Tu Zheng Jie Song Deng Cai Xiaofei He 32 25 0 15 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun Banghuai Li Shengcai Cai Ye Yuan Chi Zhang 39 370 0 10 Mar 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang W. Yu John E. Herr Olaf Wiest Meng Jiang Nitesh V. Chawla AI4CE 119 170 0 16 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 36 248 0 12 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 16 158 0 09 Feb 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 28 176 0 17 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 27 68 0 08 Jan 2021