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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
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision Wonjoon Chang Dahee Kwon Jaesik Choi 64 1 0 28 Dec 2023
Exploring intra-task relations to improve meta-learning algorithms P. Agarwal Shreya Singh OOD 76 1 0 27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection Hefei Mei Taijin Zhao Shiyuan Tang Heqian Qiu Lanxiao Wang Minjian Zhang Fanman Meng Hongliang Li ObjD 83 1 0 27 Dec 2023
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement Jing Wang Jinagyun Li Chen Chen Yisi Zhang Haoran Shen Tianxiang Zhang VLM 89 15 0 25 Dec 2023
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J. Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 86 2 0 22 Dec 2023
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold Alireza Ganjdanesh Shangqian Gao Hirad Alipanah Heng-Chiao Huang GAN 95 7 0 22 Dec 2023
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent Yilang Zhang Bingcong Li G. Giannakis 89 0 0 20 Dec 2023
Interactive Visual Task Learning for Robots Weiwei Gu Anant Sah N. Gopalan 85 4 0 20 Dec 2023
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback Gaoge Han Shaoli Huang Biwei Huang Jinglei Tang VGen 58 2 0 19 Dec 2023
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction Da Luo Yanglei Gan Rui Hou Run Lin Qiao Liu Yuxiang Cai Wannian Gao 77 6 0 19 Dec 2023
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 71 5 0 18 Dec 2023
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 70 1 0 18 Dec 2023
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI Qinqian Lei Bo Wang Robby T. Tan VLM 87 2 0 17 Dec 2023
Improving Cross-domain Few-shot Classification with Multilayer Perceptron Shuanghao Bai Wanqi Zhou Zhirong Luan Donglin Wang Badong Chen 80 5 0 15 Dec 2023
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification Xiaojun Xue Chunxia Zhang Tianxiang Xu Zhendong Niu 65 3 0 13 Dec 2023
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation Tomoharu Iwata Atsutoshi Kumagai BDL UQCV 76 1 0 13 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics Jenny Hamer Eleni Triantafillou B. V. Merrienboer Stefan Kahl Holger Klinck Tom Denton Vincent Dumoulin 73 15 0 12 Dec 2023
Hacking Task Confounder in Meta-Learning Wenwen Qiang Yi Ren Changwen Zheng Xingzhe Su Changwen Zheng Jingyao Wang CML 103 9 0 10 Dec 2023
Transformer as Linear Expansion of Learngene Shiyu Xia Miaosen Zhang Xu Yang Ruiming Chen Haokun Chen Xin Geng 73 7 0 09 Dec 2023
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification Qian Qiao Yu Xie Ziyin Zeng Fanzhang Li 99 3 0 09 Dec 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration Qiwen Wang Da-Wei Zhou Yi-Kai Zhang De-Chuan Zhan Han-Jia Ye CLL 130 46 0 08 Dec 2023
Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs Nicolas Hubert Pierre Monnin Heiko Paulheim 74 5 0 08 Dec 2023
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation Haoran Fan Qi Fan Maurice Pagnucco Yang Song 70 3 0 08 Dec 2023
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning Shuangmei Wang Yang Cao Tieru Wu CLL 75 0 0 07 Dec 2023
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning Abdullah Alchihabi Marzi Heidari Yuhong Guo 80 0 0 06 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 131 4 0 05 Dec 2023
Few-shot Shape Recognition by Learning Deep Shape-aware Features Wenlong Shi Changsheng Lu Ming Shao Yinjie Zhang Si-Yu Xia Piotr Koniusz 88 2 0 03 Dec 2023
Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels Changrui Chen Jungong Han Kurt Debattista 96 31 0 02 Dec 2023
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning Vinay Kumar Verma Nikhil Mehta Kevin J. Liang Aakansha Mishra Lawrence Carin BDL VLM 66 3 0 02 Dec 2023
$Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP$\mathbf{M^2}$C)$ Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CP $\mathbf{M^2}$ C) Fei-Yu Guo Li Zhu YiKang Wang Han Qi 96 2 0 02 Dec 2023
Manipulating the Label Space for In-Context Classification Haokun Chen Xu Yang Yuhang Huang Zihan Wu Jing Wang Xin Geng VLM 97 3 0 01 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning Cheng Chen Jingkuan Song LianLi Gao Hengtao Shen 42 1 0 01 Dec 2023
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers Matthieu Terris Thomas Moreau 80 1 0 30 Nov 2023
Simple Semantic-Aided Few-Shot Learning Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 95 8 0 30 Nov 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 120 1 0 30 Nov 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation Yuan Wang Naisong Luo Tianzhu Zhang 100 13 0 29 Nov 2023
When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning Giuseppe Cascavilla Gemma Catolino Mauro Conti D. Mellios Damian Tamburri BDL 49 0 0 28 Nov 2023
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation Jiahui Wang Qin Xu Bo Jiang Bin Luo 95 0 0 28 Nov 2023
Target-Free Compound Activity Prediction via Few-Shot Learning Peter Eckmann Jake Anderson Michael K. Gilson Rose Yu 74 1 0 27 Nov 2023
RelVAE: Generative Pretraining for few-shot Visual Relationship Detection Sotiris Karapiperis Markos Diomataris Vassilis Pitsikalis 59 0 0 27 Nov 2023
Class-Adaptive Sampling Policy for Efficient Continual Learning Hossein Rezaei Mohammad Sabokrou 83 0 0 27 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning Chen Cheng Jingkuan Song Xiaosu Zhu Sitong Su Lianli Gao Jikang Cheng CLL 53 2 0 25 Nov 2023
Task-Distributionally Robust Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Yongxian Wei Baoyuan Wu Chun Yuan Dacheng Tao OOD 63 0 0 23 Nov 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 70 4 0 23 Nov 2023
Benchmarking Toxic Molecule Classification using Graph Neural Networks and Few Shot Learning Bhavya Mehta Kush Kothari Reshmika Nambiar S. Shrawne 26 1 0 22 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 115 6 0 20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 89 12 0 19 Nov 2023
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels Shu-Lin Xu Yifan Sun Faen Zhang Anqi Xu Xiu-Shen Wei Yi Yang 72 6 0 18 Nov 2023
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces Max Zhu Katarzyna Kobalczyk Andrija Petrović Mladen Nikolic M. Schaar Boris Delibasic Petro Lio 71 3 0 16 Nov 2023
The Transient Nature of Emergent In-Context Learning in Transformers Aaditya K. Singh Stephanie C. Y. Chan Ted Moskovitz Erin Grant Andrew M. Saxe Felix Hill 144 44 0 14 Nov 2023