v1v2 (latest)

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

International Joint Conference on Artificial Intelligence (IJCAI), 2019

10 May 2019

Papers citing "Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph"

32 / 32 papers shown

Title
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation Xiaofeng Cao Mingwei Xu Xin Yu Jiangchao Yao Wei Ye ... Minling Zhang Ivor Tsang Yew-Soon Ong James T. Kwok Heng Tao Shen 128 3 0 10 Oct 2025
Hierarchical Material Recognition from Local Appearance Matthew Beveridge Shree K. Nayar 288 3 0 28 May 2025
Fine-grained Classes and How to Find Them Matej Grcić Artyom Gadetsky Maria Brbić 263 2 0 16 Jun 2024
Holistic Prototype Attention Network for Few-Shot VOS Yin Tang Tao Chen XiRuo Jiang Yazhou Yao G. Xie Hengtao Shen VOS 161 2 0 16 Jul 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 129 1 0 31 May 2023
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 201 2 0 19 Nov 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 186 2 0 29 Jul 2022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud SequencesInternational Conference on Learning Representations (ICLR), 2022 Hehe Fan Xin Yu Yuhang Ding Yi Yang Mohan Kankanhalli 3DPC 287 131 0 27 May 2022
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 203 22 0 23 Jul 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis AdaptationNeural Information Processing Systems (NeurIPS), 2021 Haoang Chi Yifan Zhang Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 273 32 0 11 Jun 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learningThe Web Conference (WWW), 2021 Kaize Ding Qinghai Zhou Hanghang Tong Huan Liu 207 142 0 22 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 127 4 0 14 Feb 2021
Isometric Propagation Network for Generalized Zero-shot LearningInternational Conference on Learning Representations (ICLR), 2021 Lu Liu Wanrong Zhu Guodong Long Jing Jiang Xuanyi Dong Chengqi Zhang 111 38 0 03 Feb 2021
Free Lunch for Few-shot Learning: Distribution CalibrationInternational Conference on Learning Representations (ICLR), 2021 Shuo Yang Lu Liu Min Xu OODD 588 366 0 16 Jan 2021
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image RecognitionScience China Information Sciences (Sci China Inf Sci), 2021 Mengting Chen Xinggang Wang Heng Luo Yifeng Geng Wenyu Liu ObjD 324 11 0 13 Jan 2021
Fine-grained Angular Contrastive Learning with Coarse Labels Guy Bukchin Eli Schwartz Kate Saenko Ori Shahar Rogerio Feris Raja Giryes Leonid Karlinsky 346 60 0 07 Dec 2020
Confusable Learning for Large-class Few-Shot Classification Bing Li Bo Han Zhuowei Wang Jing Jiang Guodong Long 128 3 0 06 Nov 2020
Learning Invariant Representations and Risks for Semi-supervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020 Yue Liu Yezhen Wang Shanghang Zhang Dongsheng Li Trevor Darrell Kurt Keutzer Han Zhao OOD 215 113 0 09 Oct 2020
Attribute Propagation Network for Graph Zero-shot LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Lu Liu Wanrong Zhu Guodong Long Jing Jiang Chengqi Zhang VLM 140 82 0 24 Sep 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot RecognitionACM Multimedia (ACM MM), 2020 Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 123 18 0 07 Aug 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-EmbeddingACM Multimedia (ACM MM), 2020 Jinhai Yang Han Yang Lin Chen 126 20 0 11 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 178 1 0 05 Jul 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy Lu Liu Wanrong Zhu Guodong Long Jing Jiang Chengqi Zhang 128 31 0 28 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 315 140 0 21 Jun 2020
Interpretable Time-series Classification on Few-shot SamplesIEEE International Joint Conference on Neural Network (IJCNN), 2020 Wensi Tang Lu Liu Guodong Long AI4TS 207 23 0 03 Jun 2020
A survey on Semi-, Self- and Unsupervised Learning for Image ClassificationIEEE Access (IEEE Access), 2020 Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 427 179 0 20 Feb 2020
One-Shot Neural Architecture Search via Self-Evaluated Template NetworkIEEE International Conference on Computer Vision (ICCV), 2019 Xuanyi Dong Yezhou Yang ViT 248 199 0 13 Oct 2019
Temporal Self-Attention Network for Medical Concept EmbeddingIndustrial Conference on Data Mining (IDM), 2019 Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang Michael Blumenstein 188 32 0 15 Sep 2019
Learning to Propagate for Graph Meta-LearningNeural Information Processing Systems (NeurIPS), 2019 Lu Liu Wanrong Zhu Guodong Long Jing Jiang Chengqi Zhang 277 101 0 11 Sep 2019
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark DetectionIEEE International Conference on Computer Vision (ICCV), 2019 Xuanyi Dong Yezhou Yang CVBM 276 73 0 06 Aug 2019
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification Ruijie Quan Xuanyi Dong Yuehua Wu Linchao Zhu Yi Yang 3DPC 315 235 0 23 Mar 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 1.4K 10,024 0 03 Jan 2019