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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
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach Mir Rayat Imtiaz Hossain Mennatullah Siam Leonid Sigal James J. Little VLM 100 7 0 17 Apr 2024
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation Barbara Gendron Gaël Guibon 85 0 0 17 Apr 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation Jiapeng Su Qi Fan Guangming Lu Fanglin Chen Wenjie Pei 73 10 0 16 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 118 0 0 11 Apr 2024
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution Tien-Hong Lo Fu-An Chao Tzu-I Wu Yao-Ting Sung Berlin Chen 81 5 0 11 Apr 2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers Dipam Goswami Bartlomiej Twardowski Joost van de Weijer 81 4 0 09 Apr 2024
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 85 0 0 09 Apr 2024
On the Convergence of Continual Learning with Adaptive Methods Seung Han Yeon-Jae Kim Taehyun Cho Jungwoo Lee CLL 65 4 0 08 Apr 2024
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation F. Alam M. Islam Robert Vacareanu Mihai Surdeanu 59 2 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 89 1 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 Peng Gao 3DPC 124 11 0 05 Apr 2024
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging Keqiang Fan Xiaohao Cai M. Niranjan 67 0 0 03 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 80 9 0 03 Apr 2024
Prompt Learning via Meta-Regularization Jinyoung Park Juyeon Ko Hyunwoo J. Kim VLM VPVLM 98 19 0 01 Apr 2024
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning Mohamed Elsayed A. Rupam Mahmood CLL 116 24 0 31 Mar 2024
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 87 3 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 100 14 0 27 Mar 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 83 10 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 110 2 0 26 Mar 2024
Advancing Extrapolative Predictions of Material Properties through Learning to Learn Kohei Noda Araki Wakiuchi Yoshihiro Hayashi Ryo Yoshida AI4CE 59 0 0 25 Mar 2024
Boosting Few-Shot Learning via Attentive Feature Regularization Xingyu Zhu Shuo Wang Jinda Lu Yanbin Hao Haifeng Liu Xiangnan He 73 10 0 23 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 2024
CoLLEGe: Concept Embedding Generation for Large Language Models Ryan Teehan Brenden M. Lake Mengye Ren 74 4 0 22 Mar 2024
Piecewise-Linear Manifolds for Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 115 4 0 22 Mar 2024
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition Jonas Golde Felix Hamborg Alan Akbik 69 1 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 64 2 0 21 Mar 2024
Learning to Infer Generative Template Programs for Visual Concepts R. K. Jones S. Chaudhuri Daniel E. Ritchie NAI BDL 82 2 0 20 Mar 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 101 0 0 20 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation Jiyi Chen Pengyu Li Yutong Wang Pei-Cheng Ku Qing Qu 89 3 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 108 2 0 19 Mar 2024
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning Yongshuo Zong Ondrej Bohdal Timothy M. Hospedales 97 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 117 0 0 17 Mar 2024
Frozen Feature Augmentation for Few-Shot Image Classification Andreas Bär N. Houlsby Mostafa Dehghani Manoj Kumar VLM 86 4 0 15 Mar 2024
Meta Operator for Complex Query Answering on Knowledge Graphs hang Yin Zihao Wang Yangqiu Song 77 3 0 15 Mar 2024
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search Yunchuan Zhang Sangwoo Park Osvaldo Simeone 105 5 0 14 Mar 2024
Continual Learning by Three-Phase Consolidation Davide Maltoni Lorenzo Pellegrini CLL 74 0 0 12 Mar 2024
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy Hsin-Ju Lin Tsu-Chun Chung Ching-Chun Hsiao Pin-Yu Chen Wei-Chen Chiu Ching-Chun Huang 44 0 0 12 Mar 2024
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage Jae-Jun Lee Sung Whan Yoon 70 2 0 11 Mar 2024
Query-guided Prototype Evolution Network for Few-Shot Segmentation Runmin Cong Hang Xiong Jinpeng Chen Wei Zhang Qingming Huang Yao Zhao 105 15 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 129 1 0 10 Mar 2024
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Pengfei Ding Yan Wang Guanfeng Liu 85 1 0 10 Mar 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 94 58 0 08 Mar 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 99 2 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 81 2 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 111 5 0 07 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation Arik Reuter Anton Thielmann Benjamin Saefken DiffM 155 1 0 06 Mar 2024
On Transfer in Classification: How Well do Subsets of Classes Generalize? Raphael Baena Lucas Drumetz Vincent Gripon 75 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 107 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 109 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 63 11 0 05 Mar 2024