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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh CLL 109 0 0 11 Apr 2025
A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping Jiajun Chen Hongpeng Yin Yifu Yang 67 0 0 09 Apr 2025
PainNet: Statistical Relation Network with Episode-Based Training for Pain Estimation M. Bishay Graham Page Mohammad Mavadati 51 1 0 08 Apr 2025
Memory-Modular Classification: Learning to Generalize with Memory Replacement Dahyun Kang Ahmet Iscen Eunchan Jo Sua Choi Minsu Cho Cordelia Schmid VLM KELM OffRL 121 0 0 08 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision Aditya Hemant Shahane Prathosh A.P Sandeep Kumar CLL 67 0 0 07 Apr 2025
Outlook Towards Deployable Continual Learning for Particle Accelerators Kishansingh Rajput Sen Lin Auralee Edelen Willem Blokland Malachi Schram 71 0 0 04 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging Mei Li Yuxiang Lu Qinyan Dai Suizhi Huang Yue Ding Hongtao Lu CLL MoMe 126 0 0 03 Apr 2025
Transductive One-Shot Learning Meet Subspace Decomposition Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh VLM 118 1 0 01 Apr 2025
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images Zhuohao Li Zhicheng Huang Wenchao Liu Zhuxing Zhang Jianming Miao 108 0 0 01 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices Sijia Li Young D. Kwon Lik-Hang Lee Pan Hui 89 0 0 31 Mar 2025
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need Yang Liu Feixiang Liu Jiale Du Xinbo Gao Jungong Han 87 0 0 28 Mar 2025
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data Kanishka Ranaweera Dinh C. Nguyen P. Pathirana David B. Smith Ming Ding Thierry Rakotoarivelo A. Seneviratne 99 0 0 27 Mar 2025
ProtoBERT-LoRA: Parameter-Efficient Prototypical Finetuning for Immunotherapy Study Identification Shijia Zhang Xiyu Ding Kai Ding Jacob Zhang Kevin Galinsky Mengrui Wang Ryan P. Mayers Zheyu Wang Hadi Kharrazi 102 0 0 26 Mar 2025
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework Xiaobei Wang Siyuan Liang Dongping Liao Han Fang Aishan Liu Xiaochun Cao Yu-liang Lu E. Chang X. Gao AAML 93 2 0 21 Mar 2025
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance Hui Liu Wenya Wang Kecheng Chen Jie Liu Yibing Liu Tiexin Qin Peisong He Xinghao Jiang Haoliang Li BDL VLM 475 0 0 20 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 99 1 0 19 Mar 2025
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision Gihan Jayatilaka Abhinav Shrivastava M. Gwilliam 103 0 0 18 Mar 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers Mert Bulent Sariyildiz Philippe Weinzaepfel Thomas Lucas Pau de Jorge Diane Larlus Yannis Kalantidis 110 0 0 18 Mar 2025
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis Hongyu Sun Qiuhong Ke Ming Cheng Yanjie Wang Deying Li Chenhui Gou Jianfei Cai 3DPC 141 0 0 15 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 114 0 0 14 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 117 0 0 12 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 487 5 0 10 Mar 2025
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification Kexin Di Xiuxing Li Yuyang Han Ziyu Li Qing Li Xia Wu VLM 110 0 0 10 Mar 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning Sahar Dastani Ali Bahri Moslem Yazdanpanah Mehrdad Noori David Osowiechi ... Farzad Beizaee Milad Cheraghalikhani A. Mondal H. Lombaert Christian Desrosiers 164 0 0 09 Mar 2025
GenAI for Simulation Model in Model-Based Systems Engineering Lin Zhang Yu Zhang Dusit Niyato Lei Ren Pengfei Gu Zhen Chen Y. Laili Wentong Cai Agostino Bruzzone AI4CE 71 0 0 09 Mar 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu LRM 214 7 0 08 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems Tadahiro Taniguchi Yasushi Hirai Masahiro Suzuki Shingo Murata Takato Horii Kazutoshi Tanaka AI4CE 112 0 0 08 Mar 2025
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation Amin Karimi Charalambos Poullis VLM 124 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 101 0 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
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data Yongbin Li Xiangkun Wang Xin Yang Marcello Bonsangue Jing Zhang Tianrui Li CLL VLM 112 0 0 28 Feb 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning Zelin Tao Hao Deng Mingqing Liu Lijun Zhang Shengjie Zhao CLL 149 0 0 25 Feb 2025
Contrastive Visual Data Augmentation Yu Zhou B. Li Mohan Tang Xiaomeng Jin Te-Lin Wu Kuan-Hao Huang Heng Ji Kai-Wei Chang Nanyun Peng 117 0 0 24 Feb 2025
FUNCTO: Function-Centric One-Shot Imitation Learning for Tool Manipulation Chao Tang Anxing Xiao Yuhong Deng Tianrun Hu Wenlong Dong Hanbo Zhang David Hsu Hong Zhang 173 3 0 24 Feb 2025
Coreset Selection via LLM-based Concept Bottlenecks Akshay Mehra Trisha Mittal Subhadra Gopalakrishnan Joshua Kimball 86 0 0 23 Feb 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation Lingguag Hao K. Hao Bing Wei Xue-song Tang FedML AAML 110 0 0 23 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 89 0 0 21 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 136 4 0 17 Feb 2025
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy Roman Malashin Valeria Yachnaya Alexander Mullin 131 1 0 17 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 130 0 0 10 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 114 2 0 10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li Zekai Zhang Xiang Li Siyi Chen Zhihui Zhu Peng Wang Qing Qu DiffM 189 1 0 09 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 58 0 0 03 Feb 2025
qNBO: quasi-Newton Meets Bilevel Optimization Sheng Fang Yong Liu Wei-Ting Yao Chengming Yu Jin Zhang 158 0 0 03 Feb 2025
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches Luca Ciampi Ali Azmoudeh Elif Ecem Akbaba Erdi Sarıtaş Ziya Ata Yazıcı H. K. Ekenel Giuseppe Amato Fabrizio Falchi 185 0 0 31 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 116 4 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 160 10 0 28 Jan 2025
Geometric Mean Improves Loss For Few-Shot Learning Tong Wu Takumi Kobayashi 160 0 0 24 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 127 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