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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,260 papers shown

Title
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures Ching-Kai Lin Di-Chun Wei Yun-Chien Cheng 243 0 0 09 Apr 2024
On the Convergence of Continual Learning with Adaptive Methods Seung Han Yeon-Jae Kim Taehyun Cho Jungwoo Lee CLL 217 6 0 08 Apr 2024
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation F. Alam M. Islam Robert Vacareanu Mihai Surdeanu 158 5 0 05 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 165 2 0 05 Apr 2024
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation Xiangyang Zhu Renrui Zhang Bowei He Ziyu Guo Jiaming Liu Han Xiao Chaoyou Fu Hao Dong Shiyang Feng 3DPC 251 24 0 05 Apr 2024
Non-negative Subspace Feature Representation for Few-shot Learning in Medical ImagingImage and Vision Computing (IVC), 2024 Keqiang Fan Xiaohao Cai M. Niranjan 179 0 0 03 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2024 Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 209 35 0 03 Apr 2024
Prompt Learning via Meta-Regularization Jinyoung Park Juyeon Ko Hyunwoo J. Kim VLM VPVLM 232 36 0 01 Apr 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning Mohamed Elsayed A. Rupam Mahmood CLL 276 35 0 31 Mar 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 201 5 0 29 Mar 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning Noor Ahmed Anna Kukleva Bernt Schiele CLL 284 32 0 27 Mar 2024
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning Yuqing Wang Mika Mäntylä Serge Demeyer Mutlu Beyazit Joanna Kisaakye Jesse Nyyssölä 96 0 0 27 Mar 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 260 13 0 27 Mar 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 240 2 0 26 Mar 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 110 0 0 25 Mar 2024
Boosting Few-Shot Learning via Attentive Feature RegularizationAAAI Conference on Artificial Intelligence (AAAI), 2024 Xingyu Zhu Shuo Wang Jinda Lu Yanbin Hao Haifeng Liu Xiangnan He 160 18 0 23 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 173 1 0 23 Mar 2024
CoLLEGe: Concept Embedding Generation for Large Language Models Ryan Teehan Brenden M. Lake Mengye Ren 201 4 0 22 Mar 2024
Piecewise-Linear Manifolds for Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 209 5 0 22 Mar 2024
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition Jonas Golde Felix Hamborg Alan Akbik 209 4 0 21 Mar 2024
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian Ning Cao Gregory O'Hared 126 6 0 21 Mar 2024
Learning to Infer Generative Template Programs for Visual Concepts R. K. Jones S. Chaudhuri Daniel E. Ritchie NAI BDL 222 3 0 20 Mar 2024
A Survey of Machine Learning for Estimating Workload: Considering Unknown Tasks Josh Bhagat Smith Julie A. Adams 241 0 0 20 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data SimulationAPL Machine Learning (AML), 2024 Jiyi Chen Pengyu Li Yutong Wang Pei-Cheng Ku Qing Qu 188 6 0 19 Mar 2024
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition Jielin Qiu William Jongwon Han Winfred Wang Zhengyuan Yang Linjie Li Jianfeng Wang Christos Faloutsos Lei Li Lijuan Wang VLM 225 3 0 19 Mar 2024
VL-ICL Bench: The Devil in the Details of Multimodal In-Context LearningInternational Conference on Learning Representations (ICLR), 2024 Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales 216 7 0 19 Mar 2024
Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning Yuanen Zhou Richang Hong Yanrong Guo Lin Liu Shijie Hao Hanwang Zhang 206 0 0 17 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification Andreas Bär N. Houlsby Mostafa Dehghani Manoj Kumar VLM 177 14 0 15 Mar 2024
Meta Operator for Complex Query Answering on Knowledge Graphs hang Yin Zihao Wang Yangqiu Song 185 4 0 15 Mar 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy SearchIEEE Transactions on Signal Processing (IEEE TSP), 2024 Yunchuan Zhang Sangwoo Park Osvaldo Simeone 355 7 0 14 Mar 2024
Continual Learning by Three-Phase Consolidation Davide Maltoni Lorenzo Pellegrini CLL 195 0 0 12 Mar 2024
MENTOR: Multilingual tExt detectioN TOward leaRning by analogyIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Hsin-Ju Lin Tsu-Chun Chung Ching-Chun Hsiao Pin-Yu Chen Wei-Chen Chiu Ching-Chun Huang 91 0 0 12 Mar 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task CoverageInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Jae-Jun Lee Sung Whan Yoon 128 3 0 11 Mar 2024
Query-guided Prototype Evolution Network for Few-Shot SegmentationIEEE transactions on multimedia (IEEE TMM), 2024 Runmin Cong Hang Xiong Jinpeng Chen Wei Zhang Qingming Huang Yao Zhao 170 27 0 11 Mar 2024
A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets T. Doan Sima Behpour Xin Li Wenbin He Liangke Gou Liu Ren VLM 265 3 0 10 Mar 2024
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Pengfei Ding Yan Wang Guanfeng Liu 139 1 0 10 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 218 88 0 08 Mar 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 280 11 0 07 Mar 2024
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders Yuwei Zhang Siffi Singh Sailik Sengupta Igor Shalyminov Hang Su Hwanjun Song Saab Mansour 129 3 0 07 Mar 2024
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning Biqing Qi Junqi Gao Xingquan Chen Dong Li Jianxing Liu Ligang Wu Bowen Zhou CLL 289 6 0 07 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 333 2 0 06 Mar 2024
On Transfer in Classification: How Well do Subsets of Classes Generalize? Raphael Baena Lucas Drumetz Vincent Gripon 182 0 0 06 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications Minyang Hu Hong Chang Zong Guo Bingpeng Ma Shiguang Shan Xilin Chen VLM 257 1 0 06 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning Weihao Jiang Guodong Liu Di He Kun He CLL 211 1 0 06 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 316 21 0 05 Mar 2024
SGD with Partial Hessian for Deep Neural Networks Optimization Ying Sun Hongwei Yong Lei Zhang ODL 113 1 0 05 Mar 2024
Few-shot Learner Parameterization by Diffusion Time-steps Zhongqi Yue Pan Zhou Richang Hong Hanwang Zhang Qianru Sun 231 14 0 05 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning Huali Xu Tianpeng Liu Shuaifeng Zhi Shaojing Fu Z. Su Ming-Ming Cheng Yongxiang Liu 194 16 0 04 Mar 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation Zhaochong An Guolei Sun Yun Liu Fayao Liu Zongwei Wu Dan Wang Luc Van Gool Serge Belongie 3DPC 230 16 0 01 Mar 2024
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning Yixiong Zou Yicong Liu Yiman Hu Yuhua Li Ruixuan Li 168 19 0 01 Mar 2024