Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,295 papers shown

Title
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 20 50 0 18 Aug 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 30 44 0 18 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 16 5 0 18 Aug 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation Donghyeon Baek Youngmin Oh Bumsub Ham 21 77 0 14 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 68 18 0 11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 41 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 24 45 0 09 Aug 2021
Knowledge accumulating: The general pattern of learning Zhuoran Xu Hao Liu CLL 37 0 0 09 Aug 2021
One-Shot Object Affordance Detection in the Wild Wei Zhai Hongcheng Luo Jing Zhang Yang Cao Dacheng Tao 79 44 0 08 Aug 2021
Generating Personalized Dialogue via Multi-Task Meta-Learning Jing Yang Lee Kong Aik Lee W. Gan 35 14 0 07 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 171 173 0 06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 80 108 0 06 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 38 8 0 06 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 29 14 0 03 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 27 18 0 29 Jul 2021
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers Piper Wolters Logan Sizemore Chris Daw Brian Hutchinson Lauren A. Phillips 37 11 0 28 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 30 21 0 27 Jul 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning Shuangjia Zheng Sijie Mai Ya Sun Haifeng Hu Yuedong Yang 38 21 0 26 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 40 19 0 23 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 31 26 0 22 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 24 25 0 20 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 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 47 88 0 16 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 208 104 0 15 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 32 1 0 12 Jul 2021
Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen Yuntao Du Yi Zhang Shuwei Qian Chong-Jun Wang 35 28 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 31 76 0 10 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 43 1 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 39 1 0 05 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 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 39 5 0 03 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 42 43 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 34 113 0 01 Jul 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 20 12 0 29 Jun 2021
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data Jongjin Park Sukmin Yun Jongheon Jeong Jinwoo Shin 39 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 48 20 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 33 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 96 755 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 32 2 0 23 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 34 20 0 22 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 22 2 0 21 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 34 21 0 17 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 29 18 0 16 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 37 88 0 16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 23 26 0 16 Jun 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training Li-Ming Zhan Haowen Liang Bo Liu Lu Fan Xiao-Ming Wu Albert Y. S. Lam OODD 26 75 0 16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 33 50 0 16 Jun 2021
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization Risheng Liu Xuan Liu Xiaoming Yuan Shangzhi Zeng Jin Zhang 15 79 0 15 Jun 2021