Few-Shot Learning with Graph Neural Networks

10 November 2017

Joan Bruna

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

50 / 184 papers shown

Title
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models Thamiris Coelho Leo S. F. Ribeiro João Macedo J. A. dos Santos Sandra Avila 29 0 0 10 May 2025
PREMISE: Matching-based Prediction for Accurate Review Recommendation Wei Han Hui Chen Soujanya Poria 47 0 0 02 May 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 174 0 0 25 Apr 2025
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features M. Fan Yeqi Bai Mingming Sun Ping Li 28 32 0 06 Sep 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 44 0 0 20 Jul 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 42 1 0 24 Jun 2024
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks Ping Liu Haichao Wei Xiaochen Hou Jianqiang Shen Shihai He ... Liang Wu S. Veeraraghavan Alex Tsun Chen-Chen Jiang Wenjing Zhang 25 2 0 20 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 39 0 0 29 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space Padmaksha Roy Tyler Cody Himanshu Singhal Kevin Choi Ming Jin OOD 26 1 0 28 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 27 1 0 27 Dec 2023
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations Wenjie Mo Lyne Tchapmi Qin Liu Jiong Wang Jun Yan Chaowei Xiao Muhao Chen Muhao Chen AAML 58 17 0 16 Nov 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation Iman Abbasnejad Fabio Zambetta Flora D. Salim Timothy Wiley Jeffrey Chan Russell Gallagher Ehsan Abbasnejad GAN 16 0 0 07 Nov 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning Zitan Chen Zhuang Qi Xiao Cao Xiangxian Li Xiangxu Meng Lei Meng 20 8 0 08 Aug 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 24 70 0 10 Jul 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 20 1 0 22 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 22 2 0 15 May 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 23 10 0 26 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Hongyuan Zhu Bo-Wen Zhang Tao Chen 3DPC 29 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Hongyuan Zhu Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 18 3 0 25 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition Xiangyu Zhou Qian-ru Wei Yuhui Zhang 25 0 0 19 Feb 2023
Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments Ting Wang Zongkai Wu Feiyu Yao Donglin Wang 51 5 0 11 Jan 2023
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 37 9 0 09 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Zhong Yuan Zhenkun Wang Genghui Li OOD 29 1 0 05 Dec 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification Jijie Wu Dongliang Chang Aneeshan Sain Xiaoxu Li Zhanyu Ma Jie Cao Jun Guo Yi-Zhe Song 19 35 0 30 Nov 2022
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance Jihwan Bae Junwon Seo Taekyung Kim Hae-Gon Jeon K. Kwak Inwook Shim 13 8 0 21 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 40 211 0 21 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 25 8 0 10 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 32 0 06 Nov 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout Peiyuan Zhang Wei Lu VLM 19 24 0 25 Oct 2022
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs Xin Liu Xiaofei Shao Boqian Wang Yali Li Shengjin Wang GNN 46 32 0 19 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection Fei Zhao Yuchen Shen Zhanghua Wu Xinyu Dai 33 11 0 09 Oct 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 31 47 0 23 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 23 12 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 35 4 0 17 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 28 3 0 03 Aug 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 13 6 0 18 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning Jiahui Wang H. Zhu Haoren Guo Abdullah Al Mamun V. Prahlad T. Lee 3DPC 31 4 0 04 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 21 31 0 02 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 26 3 0 02 Jul 2022
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection Chendong Zhao Jianzong Wang LeiLai Li Xiaoyang Qu Jing Xiao 52 10 0 24 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Few-Shot Object Detection with Proposal Balance Refinement Sueyeon Kim Woo-Jeoung Nam Seong-Whan Lee ObjD 25 3 0 22 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 22 47 0 12 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 31 20 0 07 Apr 2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning Zhi Hou Baosheng Yu Chaoyue Wang Yibing Zhan Dacheng Tao ViT 29 11 0 04 Apr 2022