v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Label Semantics for Few Shot Named Entity Recognition Jie Ma Miguel Ballesteros Srikanth Doss Kadarundalagi Raghuram Doss Rishita Anubhai S. Mallya Yaser Al-Onaizan Dan Roth 75 68 0 16 Mar 2022
Attribute Group Editing for Reliable Few-shot Image Generation Guanqi Ding Xinzhe Han Shuhui Wang Shuzhe Wu Xin Jin Dandan Tu Qingming Huang GAN 83 22 0 16 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement Leander Weber Sebastian Lapuschkin Alexander Binder Wojciech Samek 109 103 0 15 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 104 23 0 15 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning Yuqian Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 75 20 0 15 Mar 2022
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation Chunbo Lang Gong Cheng Binfei Tu Junwei Han 103 207 0 15 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer Bowen Dong Pan Zhou Shuicheng Yan W. Zuo ViT 85 31 0 14 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning Da-Wei Zhou Fu Lee Wang Han-Jia Ye Liang Ma Shiliang Pu De-Chuan Zhan CLL 91 187 0 14 Mar 2022
Worst Case Matters for Few-Shot Recognition Minghao Fu Yunhao Cao Jianxin Wu 74 7 0 13 Mar 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks Denis Kleyko G. Karunaratne J. Rabaey Abu Sebastian Abbas Rahimi KELM 91 10 0 11 Mar 2022
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks Rebecca Adaimi Edison Thomaz CLL 69 15 0 11 Mar 2022
Towards Open-Set Text Recognition via Label-to-Prototype Learning Chang-rui Liu Chun Yang Haibo Qin Xiaobin Zhu Cheng-Lin Liu Xu-Cheng Yin VLM 49 34 0 10 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li Jingyao Wang Changwen Zheng Fuchun Sun Hui Xiong 94 24 0 10 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks? Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 72 29 0 09 Mar 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning Zhenhailong Wang Hangyeol Yu Manling Li Han Zhao Heng Ji VLM 49 0 0 09 Mar 2022
Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation Xiaoyu Zhao Xiaoqian Chen Zhiqiang Gong Wen Yao Yunyang Zhang Xiaohu Zheng VLM 69 0 0 08 Mar 2022
Table Structure Recognition with Conditional Attention Bin Xiao Murat Simsek B. Kantarci Ala Abu Alkheir LMTD 69 10 0 08 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 114 168 0 07 Mar 2022
Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen Tianyi BDL 82 16 0 06 Mar 2022
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification Qiaoli Chen Zhihao Chen Wei Luo 110 5 0 04 Mar 2022
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels Stine Hansen Srishti Gautam Robert Jenssen Michael C. Kampffmeyer 143 91 0 03 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning Baoquan Zhang Hao Jiang Xutao Li Shanshan Feng Yunming Ye Rui Ye 70 4 0 03 Mar 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation T. Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon 90 19 0 02 Mar 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features Jinxin Zhou Xiao Li Tian Ding Chong You Qing Qu Zhihui Zhu 80 102 0 02 Mar 2022
Interpretable Concept-based Prototypical Networks for Few-Shot Learning M. Zarei Majid Komeili 73 4 0 27 Feb 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization Austin W. Hanjie Ameet Deshpande Karthik Narasimhan VLM 82 2 0 26 Feb 2022
Learning Transferable Reward for Query Object Localization with Policy Adaptation Tingfeng Li Shaobo Han Martin Renqiang Min Dimitris N. Metaxas 60 1 0 24 Feb 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 81 12 0 22 Feb 2022
Semantically Proportional Patchmix for Few-Shot Learning Jingquan Wang Jing Xu Yu Pan Zenglin Xu VLM 50 1 0 17 Feb 2022
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization Sha Li Liyuan Liu Yiqing Xie Heng Ji Jiawei Han 119 4 0 15 Feb 2022
Self-Supervised Class-Cognizant Few-Shot Classification Ojas Kishore Shirekar Hadi Jamali Rad SSL 95 5 0 15 Feb 2022
Trace norm regularization for multi-task learning with scarce data Etienne Boursier Mikhail Konobeev Nicolas Flammarion 70 11 0 14 Feb 2022
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation Jun Seo Younghyun Park Sung Whan Yoon Jaekyun Moon ViT 66 5 0 14 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo Zijian Wang Zhuoxiao Chen Zi Huang Mahsa Baktashmotlagh AI4CE 107 34 0 13 Feb 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 50 28 0 11 Feb 2022
Diffusion bridges vector quantized Variational AutoEncoders Max H. Cohen Guillaume Quispe Sylvain Le Corff Charles Ollion Eric Moulines DiffM 90 15 0 10 Feb 2022
Bias-Eliminated Semantic Refinement for Any-Shot Learning Liangjun Feng Chunhui Zhao Xi Li DiffM GAN 88 18 0 10 Feb 2022
Spectral Propagation Graph Network for Few-shot Time Series Classification Ling Yang linda Qiao Luxia Zhang 68 2 0 08 Feb 2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation Yuntao Du Xinjun Zhu Lu Chen Ziquan Fang Yunjun Gao VLM OffRL 66 50 0 08 Feb 2022
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start Riccardo Grazzi Massimiliano Pontil Saverio Salzo 99 13 0 07 Feb 2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability R. Qin Tao Liu 89 64 0 07 Feb 2022
TRGP: Trust Region Gradient Projection for Continual Learning Sen Lin Li Yang Deliang Fan Junshan Zhang CLL 140 81 0 07 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 68 5 0 05 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 108 77 0 04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 85 5 0 04 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 96 6 0 02 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 67 38 0 01 Feb 2022
Quantifying Relevance in Learning and Inference M. Marsili Y. Roudi 59 18 0 01 Feb 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 68 4 0 01 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 125 7 0 01 Feb 2022