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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
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge Haodi Ma D. Wang 99 8 0 03 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Yue Han Jiangning Zhang Zhucun Xue Chao Xu Xintian Shen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li 102 17 0 03 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 91 5 0 02 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 50 0 0 28 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 67 4 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 106 3 0 22 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 89 12 0 16 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models Niels Schlüsener Michael Bücker SLR 124 1 0 16 Dec 2022
Proposal Distribution Calibration for Few-Shot Object Detection Bohao Li Chang-rui Liu Mengnan Shi Xiaozhong Chen Xiang Ji QiXiang Ye ObjD 84 6 0 15 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 76 14 0 14 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 89 2 0 13 Dec 2022
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster Chen Zhang Xiaofeng Cao Yi Chang Ivor W Tsang 70 0 0 13 Dec 2022
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling Renhe Jiang Zhaonan Wang Jiawei Yong P. Jeph Quanjun Chen Yasumasa Kobayashi Xuan Song Toyotaro Suzumura Shintaro Fukushima GNN BDL AI4TS 102 4 0 12 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation Aniket Roy Anshul B. Shah Ketul Shah Anirban Roy Rama Chellappa DiffM 68 0 0 11 Dec 2022
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability Zhexiong Liu Licheng Liu Yiqun Xie Zhenong Jin X. Jia 89 8 0 10 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 108 12 0 09 Dec 2022
Learning Domain Invariant Prompt for Vision-Language Models Cairong Zhao Yubin Wang Xinyang Jiang Yifei Shen Kaitao Song Dongsheng Li Duoqian Miao VLM VPVLM 90 27 0 08 Dec 2022
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 74 5 0 07 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Zhong Yuan Zhenkun Wang Genghui Li OOD 72 1 0 05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 165 19 0 04 Dec 2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation Dianwen Mei Wei Zhuo Jiandong Tian Guangming Lu Wenjie Pei VLM 97 0 0 02 Dec 2022
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 138 17 0 01 Dec 2022
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks Michal Jamro.z Marcin Kurdziel 46 0 0 01 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 134 10 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 66 15 0 30 Nov 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification Jijie Wu Dongliang Chang Aneeshan Sain Xiaoxu Li Zhanyu Ma Jie Cao Jun Guo Yi-Zhe Song 78 37 0 30 Nov 2022
Geoclidean: Few-Shot Generalization in Euclidean Geometry Joy Hsu Jiajun Wu Noah D. Goodman 99 7 0 30 Nov 2022
Transferability Estimation Based On Principal Gradient Expectation Huiyan Qi Lechao Cheng Jingjing Chen Yue Yu Xue Song Zunlei Feng Yueping Jiang 89 2 0 29 Nov 2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning Zhuohang Dang Jihong Wang Minnan Luo Chengyou Jia Caixia Yan Qinghua Zheng 73 1 0 29 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 73 8 0 29 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 62 17 0 29 Nov 2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification Fang Peng Xiaoshan Yang Linhui Xiao Yaowei Wang Changsheng Xu VLM 93 49 0 28 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 112 17 0 28 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 69 2 0 28 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization Stefan Stojanov Anh Thai Zixuan Huang James M. Rehg 101 2 0 28 Nov 2022
Multi-Modal Few-Shot Temporal Action Detection Sauradip Nag Mengmeng Xu Xiatian Zhu Juan-Manuel Perez-Rua Guohao Li Yi-Zhe Song Tao Xiang VLM 66 6 0 27 Nov 2022
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting Renhe Jiang Zhaonan Wang Jiawei Yong P. Jeph Quanjun Chen Yasumasa Kobayashi Xuan Song Shintaro Fukushima Toyotaro Suzumura AI4TS 86 200 0 27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 140 2 0 26 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 78 34 0 26 Nov 2022
MAEDAY: MAE for few and zero shot AnomalY-Detection Eli Schwartz Assaf Arbelle Leonid Karlinsky Sivan Harary Florian Scheidegger Sivan Doveh Raja Giryes ViT UQCV 89 36 0 25 Nov 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin Xiting Wang Y. Hao Yizhou Sun Xing Xie 94 11 0 24 Nov 2022
Few-shot Object Detection with Refined Contrastive Learning Zeyu Shangguan Lian Huai Tong Liu Xingqun Jiang 74 7 0 24 Nov 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners E. T. Oldewage J. Bronskill Richard Turner 61 3 0 23 Nov 2022
Contrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification Nakul Sharma A. S. Penamakuri Anand Mishra 3DV VLM 27 1 0 23 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 72 2 0 22 Nov 2022
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation Ling Li Yi Zhang Shuhui Wang 66 18 0 22 Nov 2022
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance Jihwan Bae Junwon Seo Taekyung Kim Hae-Gon Jeon K. Kwak Inwook Shim 92 8 0 21 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 146 235 0 21 Nov 2022
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation Zhizhou Ren Hoang Trung-Dung Yitao Liang Jian-wei Peng Jianzhu Ma 58 9 0 20 Nov 2022
ProtSi: Prototypical Siamese Network with Data Augmentation for Few-Shot Subjective Answer Evaluation Yining Lu Jing Qiu Gaurav Gupta AAML 57 1 0 17 Nov 2022