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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
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer Weijia Xu Batool Haider Jason Krone Saab Mansour 77 7 0 21 Jul 2021
Neural Variational Learning for Grounded Language Acquisition Nisha Pillai Cynthia Matuszek Francis Ferraro VLM SSL GAN DRL 113 2 0 20 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 107 25 0 20 Jul 2021
Hierarchical Few-Shot Imitation with Skill Transition Models Kourosh Hakhamaneshi Ruihan Zhao Albert Zhan Pieter Abbeel Michael Laskin OffRL 93 42 0 19 Jul 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu Yang Cao Wei Zhai Jie Cheng Zhengjun Zha CLL 133 148 0 19 Jul 2021
PICASO: Permutation-Invariant Cascaded Attentional Set Operator Samira Zare H. Nguyen 106 5 0 17 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 93 70 0 16 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 124 89 0 16 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 90 5 0 15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 284 108 0 15 Jul 2021
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets Brian L. Trippe H. Finucane Tamara Broderick 29 2 0 13 Jul 2021
Kernel Continual Learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek CLL BDL VLM 127 38 0 12 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 123 1 0 12 Jul 2021
Zero-Shot Compositional Concept Learning Guangyue Xu Parisa Kordjamshidi J. Chai CoGe 139 19 0 12 Jul 2021
Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen Yuntao Du Yi Zhang Shuwei Qian Chong-Jun Wang 81 30 0 10 Jul 2021
TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition Shuyuan Li Huabin Liu Rui Qian Yuxi Li John See Mengjuan Fei Xiaoyuan Yu W. Lin 112 79 0 10 Jul 2021
A Comparison of Contextual and Non-Contextual Preference Ranking for Set Addition Problems T. Bertram Johannes Furnkranz Martin Müller 47 1 0 09 Jul 2021
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes Xiang Li Lingjing Wang Yi Fang 3DPC 22 0 0 07 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata Gilberto Ochoa-Ruiz Andres Mendez-Vazquez 68 1 0 06 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 79 8 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 93 1 0 05 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 74 24 0 05 Jul 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications Qian Li Jianxin Li Shuaiyi Nie Shiyao Cui Hongzhi Zhang ... Hao Peng Shu Guo Lihong Wang Amin Beheshti Philip S. Yu 117 48 0 05 Jul 2021
Learning from scarce information: using synthetic data to classify Roman fine ware pottery Santos J. Núñez Jareño Daniël P. van Helden Evgeny M. Mirkes I. Tyukin Penelope Allison 76 5 0 03 Jul 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 79 20 0 02 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 101 43 0 02 Jul 2021
Few-shot Learning for Unsupervised Feature Selection Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara SSL 52 3 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 106 118 0 01 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 101 54 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 113 50 0 30 Jun 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning Nikunj Saunshi Arushi Gupta Wei Hu SSL 108 17 0 29 Jun 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning Shanshan Wang Fajie Yuan Zhumin Chen Zhaochun Ren Huasheng Liang Qiang Yan Evangelos Kanoulas Maarten de Rijke 52 5 0 29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 48 17 0 29 Jun 2021
Representation based meta-learning for few-shot spoken intent recognition Ashish R. Mittal Samarth Bharadwaj Shreya Khare Saneem A. Chemmengath Karthik Sankaranarayanan Brian Kingsbury 62 12 0 29 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns Tomoharu Iwata 47 1 0 29 Jun 2021
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data Jongjin Park Sukmin Yun Jongheon Jeong Jinwoo Shin 80 29 0 29 Jun 2021
High-dimensional separability for one- and few-shot learning Alexander N. Gorban Bogdan Grechuk Evgeny M. Mirkes Sergey V. Stasenko I. Tyukin DRL 98 23 0 28 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 79 9 0 28 Jun 2021
Multimodal Few-Shot Learning with Frozen Language Models Maria Tsimpoukelli Jacob Menick Serkan Cabi S. M. Ali Eslami Oriol Vinyals Felix Hill MLLM 252 792 0 25 Jun 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 76 2 0 23 Jun 2021
Multi-accent Speech Separation with One Shot Learning Kuan-Po Huang Yuan-Kuei Wu Hung-yi Lee 102 4 0 22 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks Fan Liu Shuyu Zhao Xuelong Dai Bin Xiao VLM 91 8 0 22 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 91 20 0 22 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification Andrés Villa Juan-Manuel Perez-Rua Victor Escorcia Vladimir Araujo Juan Carlos Niebles Alvaro Soto 71 0 0 21 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 49 2 0 21 Jun 2021
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization Yunchuan Zhang Sharu Theresa Jose Osvaldo Simeone 70 0 0 20 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 36 4 0 20 Jun 2021
On Contrastive Representations of Stochastic Processes Emile Mathieu Adam Foster Yee Whye Teh BDL AI4TS 48 15 0 18 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 85 21 0 17 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 36 0 0 17 Jun 2021