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Low-shot learning with large-scale diffusion

7 June 2017

Papers citing "Low-shot learning with large-scale diffusion"

39 / 39 papers shown

Title
Probability-density-aware Semi-supervised Learning Shuyang Liu Ruiqiu Zheng Yunhang Shen Ke Li Xing Sun Zhou Yu Shaohui Lin 114 0 0 08 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 104 0 0 05 Jan 2025
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation Chunwei Wu Guitao Cao Yan Li Xidong Xi Wenming Cao Hong Wang TTA 72 2 0 20 Jan 2023
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 72 1 0 06 Nov 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 72 5 0 23 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 128 387 0 13 May 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 108 76 0 04 Feb 2022
Cold Start Active Learning Strategies in the Context of Imbalanced Classification Etienne Brangbour P. Bruneau T. Tamisier Stéphane Marchand-Maillet AI4CE 61 2 0 25 Jan 2022
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-Xiong Wang 95 13 0 06 Oct 2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain Sajad Darabi Shayan Fazeli Ali Pazoki S. Sankararaman Majid Sarrafzadeh SSL 72 29 0 27 Aug 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 123 1 0 12 Jul 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 100 25 0 11 Jun 2021
Few-Shot Partial-Label Learning Yunfeng Zhao Guoxian Yu Lei Liu Zhongmin Yan Li-zhen Cui C. Domeniconi 29 4 0 02 Jun 2021
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph Cheikh Brahim El Vaigh Noa Garcia B. Renoust Chenhui Chu Yuta Nakashima Hajime Nagahara 49 24 0 25 May 2021
Class-Balanced Distillation for Long-Tailed Visual Recognition Ahmet Iscen A. Araújo Boqing Gong Cordelia Schmid 128 36 0 12 Apr 2021
SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification Zijian Hu Zhengyu Yang Xuefeng Hu Ram Nevatia 61 145 0 30 Mar 2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction Hao-Chiang Shao Hsin-Chieh Wang Weng-Tai Su Chia-Wen Lin NoLa 47 6 0 13 Mar 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 87 9 0 05 Jan 2021
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 36 3 0 26 Dec 2020
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning Taehyeong Kim Injune Hwang Hyun-Dong Lee Hyunseok Kim Won-Seok Choi Joseph J. Lim Byoung-Tak Zhang 59 8 0 02 Dec 2020
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization Hanchen Xie Mohamed E. Hussein Aram Galstyan Wael Abd-Almageed SSL 59 8 0 30 Nov 2020
Match Them Up: Visually Explainable Few-shot Image Classification Bowen Wang Liangzhi Li Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara FAtt 63 26 0 25 Nov 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 70 18 0 09 Jul 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 72 28 0 28 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 119 194 0 28 May 2020
Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning Taehyeong Kim Injune Hwang Gi-Cheon Kang Won-Seok Choi Hyunseok Kim Byoung-Tak Zhang 26 5 0 16 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 75 165 0 01 Apr 2020
Knowledge Graph Transfer Network for Few-Shot Recognition Riquan Chen Tianshui Chen X. Hui Hefeng Wu Guanbin Li Liang Lin SLR 49 63 0 21 Nov 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 146 464 0 02 May 2019
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval Federico Magliani Kevin McGuinness Eva Mohedano Andrea Prati DiffM 33 9 0 18 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 138 1,849 0 10 Apr 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 134 626 0 09 Apr 2019
Low-Shot Learning from Imaginary 3D Model Frederik Pahde M. Puscas Jannik Wolff T. Klein N. Sebe Moin Nabi 90 11 0 04 Jan 2019
Few-shot Object Detection via Feature Reweighting Bingyi Kang Zhuang Liu Xin Wang Feng Yu Jiashi Feng Trevor Darrell ObjD OffRL 129 701 0 05 Dec 2018
Self Paced Adversarial Training for Multimodal Few-shot Learning Frederik Pahde O. Ostapenko P. Jähnichen T. Klein Moin Nabi 73 25 0 22 Nov 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 73 64 0 19 Oct 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 92 21 0 13 Jun 2018
Link and code: Fast indexing with graphs and compact regression codes Matthijs Douze Alexandre Sablayrolles Hervé Jégou 27 46 0 26 Apr 2018
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors Dmitry Baranchuk Artem Babenko Yury Malkov 85 97 0 07 Feb 2018