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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
Controllable Semantic Parsing via Retrieval Augmentation Panupong Pasupat Yuan Zhang Kelvin Guu 206 48 0 16 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 69 4 0 16 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 111 11 0 14 Oct 2021
FocusNet: Classifying Better by Focusing on Confusing Classes Xue Zhang Zehua Sheng Hui-Liang Shen 102 10 0 14 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 89 61 0 13 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 103 28 0 13 Oct 2021
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers Gabriele Prato Simon Guiroy Ethan Caballero Irina Rish Sarath Chandar VLM 94 12 0 13 Oct 2021
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning Hongru Wang Zhijing Jin Jiarun Cao Gabriel Pui Cheong Fung Kam-Fai Wong 36 3 0 13 Oct 2021
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty Jeffrey Willette Haebeom Lee Juho Lee Sung Ju Hwang OODD OOD 94 2 0 12 Oct 2021
Across-Task Neural Architecture Search via Meta Learning Jingtao Rong Xinyi Yu Mingyang Zhang L. Ou 65 1 0 12 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules Rangeet Pan Hridesh Rajan MoMe 55 32 0 11 Oct 2021
A Closer Look at Prototype Classifier for Few-shot Image Classification Mingcheng Hou Issei Sato VLM 103 21 0 11 Oct 2021
Mining the Weights Knowledge for Optimizing Neural Network Structures Mengqiao Han Xiabi Liu Zhaoyang Hai Xin Duan 22 1 0 11 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar Alexander Sax Roman Bachmann Jitendra Malik Amir Zamir MedIm 131 301 0 11 Oct 2021
Morphable Detector for Object Detection on Demand Xiangyun Zhao Xu Zou Ying Nian Wu ObjD 122 4 0 10 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 70 8 0 09 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 89 44 0 09 Oct 2021
A Few More Examples May Be Worth Billions of Parameters Yuval Kirstain Patrick Lewis Sebastian Riedel Omer Levy 130 21 0 08 Oct 2021
Active learning for interactive satellite image change detection H. Sahbi Sebastien Deschamps Andrei Stoian 79 6 0 08 Oct 2021
Multi Proxy Anchor Family Loss for Several Types of Gradients Shozo Saeki Minoru Kawahara Hirohisa Aman 55 2 0 08 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 87 104 0 08 Oct 2021
3D Meta-Segmentation Neural Network Yu Hao Yi Fang 3DPC 52 2 0 08 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 85 29 0 07 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 85 5 0 06 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-Xiong Wang 97 13 0 06 Oct 2021
Online Hyperparameter Meta-Learning with Hypergradient Distillation Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang DD 102 2 0 06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat P. Le Juncheng Dong Mohammadreza Soltani Vahid Tarokh 109 11 0 05 Oct 2021
Revisiting Self-Training for Few-Shot Learning of Language Model Yiming Chen Yan Zhang Chen Zhang Grandee Lee Ran Cheng Haizhou Li 71 42 0 04 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 87 27 0 02 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 117 83 0 01 Oct 2021
DualNet: Continual Learning, Fast and Slow Quang Pham Chenghao Liu Guosheng Lin CLL 147 45 0 01 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 94 19 0 30 Sep 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 99 45 0 29 Sep 2021
Dynamic Regret Analysis for Online Meta-Learning Parvin Nazari E. Khorram CLL 86 5 0 29 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 251 19 0 29 Sep 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning Krishnan Raghavan Prasanna Balaprakash CLL 104 31 0 28 Sep 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask Xiaoliu Luo Zhuotao Tian Taiping Zhang Bei Yu Yuan Yan Tang Jiaya Jia 98 39 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 106 54 0 28 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 113 5 0 27 Sep 2021
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images Pierre Le Jeune M. Lebbah Anissa Zergaïnoh-Mokraoui Hanene Azzag ObjD 70 9 0 27 Sep 2021
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling Peiyi Wang Runxin Xu Tianyu Liu Qingyu Zhou Yunbo Cao Baobao Chang Zhifang Sui 118 62 0 27 Sep 2021
Sparse Spatial Transformers for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen ViT 64 34 0 27 Sep 2021
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot Bihan Wen 138 30 0 26 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 69 0 0 22 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks Amirreza Sobhdel R. Razavi-Far 75 4 0 22 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models Ivan Vulić Pei-hao Su Sam Coope D. Gerz Paweł Budzianowski I. Casanueva Nikola Mrkvsić Tsung-Hsien Wen 103 37 0 21 Sep 2021
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati Anirudh Tunga 84 37 0 21 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 86 29 0 20 Sep 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks Gaël Guibon Matthieu Labeau Hélène Flamein Luce Lefeuvre Chloé Clavel 81 34 0 20 Sep 2021
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks Jieming Zhou Tong Zhang Pengfei Fang L. Petersson Mehrtash Harandi GNN 111 1 0 20 Sep 2021