Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,267 papers shown

Title
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 31 5 0 02 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 43 3 0 22 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 39 12 0 16 Dec 2022
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models Niels Schlüsener Michael Bücker SLR 19 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 31 5 0 15 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 34 13 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 26 2 0 13 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation Aniket Roy Anshul B. Shah Ketul Shah Anirban Roy Rama Chellappa DiffM 36 0 0 11 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 39 9 0 09 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation Zhong Yuan Zhenkun Wang Genghui Li OOD 34 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 29 18 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 45 0 0 02 Dec 2022
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 39 14 0 01 Dec 2022
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks Michal Jamro.z Marcin Kurdziel 30 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 55 10 0 01 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 29 13 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 23 35 0 30 Nov 2022
Geoclidean: Few-Shot Generalization in Euclidean Geometry Joy Hsu Jiajun Wu Noah D. Goodman 32 6 0 30 Nov 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 36 7 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 40 44 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 34 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 41 1 0 28 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 56 2 0 26 Nov 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes Yiqiao Jin Xiting Wang Y. Hao Yizhou Sun Xing Xie 43 11 0 24 Nov 2022
Few-shot Object Detection with Refined Contrastive Learning Zeyu Shangguan Lian Huai Tong Liu Xingqun Jiang 30 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 27 3 0 23 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 30 2 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 26 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 54 214 0 21 Nov 2022
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography Adrián Pérez Herrero Paulo Félix Lamas J. Presedo 22 0 0 17 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 39 5 0 16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 41 1 0 16 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 50 9 0 14 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 27 8 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 31 12 0 13 Nov 2022
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 26 0 0 12 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 40 8 0 10 Nov 2022
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Mo Yu Qiujing Wang Shunchi Zhang Yisi Sang Kangsheng Pu ... Han Wang Liyan Xu Jing Li Yue Yu Jie Zhou 34 19 0 09 Nov 2022
Prompt-Based Metric Learning for Few-Shot NER Yanru Chen Yanan Zheng Zhilin Yang VLM 47 27 0 08 Nov 2022
A Survey on Computer Vision based Human Analysis in the COVID-19 Era Fevziye Irem Eyiokur Alperen Kantarci M. Erakin Naser Damer Ferda Ofli ... Janez Križaj A. Salah Alexander Waibel Vitomir Štruc H. K. Ekenel 41 20 0 07 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition Youcheng Huang Wenqiang Lei Jie Fu Jiancheng Lv 24 3 0 07 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 40 1 0 06 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Jing Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 51 6 0 02 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements A. Ma Nikita Dvornik Ran Zhang Leila Pishdad Konstantinos G. Derpanis Afsaneh Fazly 36 6 0 31 Oct 2022
A picture of the space of typical learnable tasks Rahul Ramesh Jialin Mao Itay Griniasty Rubing Yang H. Teoh Mark K. Transtrum James P. Sethna Pratik Chaudhari SSL DRL 41 5 0 31 Oct 2022
Uncertainty-DTW for Time Series and Sequences Lei Wang Piotr Koniusz 13 33 0 30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 54 27 0 30 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning? Kuan-Ying Lee Yuanyi Zhong Yu-xiong Wang CLL 37 28 0 27 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 26 8 0 26 Oct 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models Sarthak Mittal Guillaume Lajoie Stefan Bauer Arash Mehrjou DiffM 47 30 0 25 Oct 2022