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Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 3,468 papers shown

Title
An experimental approach on Few Shot Class Incremental Learning Marinela Adam CLL 143 0 0 14 Mar 2025
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data Zhixuan Lian Shangyu Li Qixuan Huang Zijian Huang Haifei Liu Jianan Qiu Puyu Yang Laifa Tao AI4CE 116 0 0 14 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Yansen Wang Wenqi Fan Suhang Wang Yao Ma 88 1 0 13 Mar 2025
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work Kevin Wilkinghoff Takuya Fujimura Keisuke Imoto Jonathan Le Roux Zheng-Hua Tan Tomoki Toda 102 0 0 13 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 119 0 0 12 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 502 5 0 10 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 157 3 0 06 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 104 0 0 06 Mar 2025
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models Yao Ge Yuting Guo Sudeshna Das Swati Rajwal Selen Bozkurt A. Sarker MedIm LM&MA 105 0 0 06 Mar 2025
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation Amin Karimi Charalambos Poullis VLM 128 0 0 06 Mar 2025
In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality without Ground-Truth Matias Cosarinsky Ramiro Billot Lucas Mansilla Gabriel Gimenez Nicolás Gaggion Guanghui Fu Enzo Ferrante 112 1 0 06 Mar 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection Wei Luo Yunkang Cao Haiming Yao Xiaotian Zhang Jianan Lou Y. Cheng Nong Sang Wenyong Yu 121 5 0 04 Mar 2025
Synthetic data enables context-aware bioacoustic sound event detection Benjamin Hoffman David Robinson Marius Miron V. Baglione D. Canestrari Damian Elias Eva Trapote Olivier Pietquin 137 0 0 01 Mar 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction Nguyen Xuan Thanh Anh Duc Le Quyen Tran Thanh-Thien Le Linh Ngo Van T. H. Nguyen 127 2 0 27 Feb 2025
MCLRL: A Multi-Domain Contrastive Learning with Reinforcement Learning Framework for Few-Shot Modulation Recognition Dongwei Xu Yutao Zhu Yao Lu Youpeng Feng Yun Lin Qi Xuan 130 1 0 26 Feb 2025
Steered Generation via Gradient Descent on Sparse Features Sumanta Bhattacharyya Pedram Rooshenas LLMSV 97 0 0 25 Feb 2025
Unraveling the geometry of visual relational reasoning Jiaqi Shang Gabriel Kreiman Haim Sompolinsky 78 0 0 24 Feb 2025
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks Yuqi Liu Mengyu Li Fausto Giunchiglia Lan Huang Ximing Li Xiaoyue Feng Renchu Guan 95 0 0 21 Feb 2025
Deep learning based infrared small object segmentation: Challenges and future directions Zhengeng Yang Hongshan Yu Jianjun Zhang Qiang Tang Ajmal Mian 230 3 0 21 Feb 2025
Feedforward Few-shot Species Range Estimation Christian Lange Max Hamilton Elijah Cole Alexander Shepard Samuel Heinrich Angela Zhu Subhransu Maji Grant Van Horn Oisin Mac Aodha 152 0 0 20 Feb 2025
Differentially Private Prototypes for Imbalanced Transfer Learning Dariush Wahdany Matthew Jagielski Adam Dziedzic Franziska Boenisch 152 0 0 17 Feb 2025
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network Zijian Zhao Tingwei Chen Zhijie Cai Xiaoyang Li Hang Li Qimei Chen Guangxu Zhu 142 4 0 17 Feb 2025
Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging Mohammed Abdul Hafeez Khan Samuel Morries Boddepalli S. Bhattacharyya Debasis Mitra 66 0 0 10 Feb 2025
Learning Clustering-based Prototypes for Compositional Zero-shot Learning Hongyu Qu Jianan Wei Xiangbo Shu Wenguan Wang VLM 170 1 0 10 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 135 0 0 10 Feb 2025
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation Edward Ellis A. Bulpitt Nasim Parsa Michael F Byrne Sharib Ali 184 0 0 04 Feb 2025
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning Qianyu Guo Jingrong Wu Tianxing Wu Hongru Wang Weifeng Ge Wenqiang Zhang 70 0 0 03 Feb 2025
TORCHLIGHT: Shedding LIGHT on Real-World Attacks on Cloudless IoT Devices Concealed within the Tor Network Yumingzhi Pan Zhen Ling Yue Zhang Hongze Wang Guangchi Liu Junzhou Luo Xinwen Fu 163 0 0 28 Jan 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Surojit Saha Ross T. Whitaker 106 0 0 28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 170 10 0 28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 126 4 0 28 Jan 2025
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning Kirill Paramonov Mete Ozay Eunju Yang J. Moon Umberto Michieli 109 0 0 28 Jan 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges Guangjin Pan Yuan Gao Yilin Gao Zhiyong Zhong Xiaoyu Yang Xinyu Guo Shugong Xu 108 2 0 28 Jan 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 144 0 0 24 Jan 2025
Rethinking the Sample Relations for Few-Shot Classification Guowei Yin Sheng Huang Luwen Huangfu Yi Zhang Xiaohong Zhang VLM 94 0 0 23 Jan 2025
One-Class Domain Adaptation via Meta-Learning Stephanie Holly T. Bierweiler Stefan von Dosky Ahmed Frikha C. Heitzinger Jana Eder 182 0 0 22 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning Parinita Nema V. Kurmi CLL 150 0 0 17 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 186 5 0 17 Jan 2025
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation Han Liu Yinwei Wei Fan Liu Wenjie Wang Liqiang Nie Tat-Seng Chua 117 18 0 13 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 379 0 0 10 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 132 3 0 09 Jan 2025
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling Jelena Bratulić Sudhanshu Mittal David T. Hoffmann Samuel Böhm R. Schirrmeister T. Ball Christian Rupprecht Thomas Brox 104 1 0 09 Jan 2025
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition Bowen Hao Dongliang Zhou Xiaojie Li Xingyu Zhang Liang Xie Jianlong Wu Erwei Yin 125 1 0 08 Jan 2025
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network Haosheng Zhang Hao Huang 127 0 0 06 Jan 2025
A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning Ramin Zarei-Sabzevar Ahad Harati 100 2 0 05 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 110 0 0 05 Jan 2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation Yang Yang Houjian Yu Xibai Lou Yuanhao Liu Changhyun Choi 113 9 0 04 Jan 2025
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings Shuhei Tomoshige Hayato Muraki K. Oishi Hitoshi Iyatomi 49 1 0 03 Jan 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 116 7 0 31 Dec 2024
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning Sijia Chen Ningxin Su Baochun Li FedML 122 1 0 31 Dec 2024