Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,267 papers shown

Title
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 42 35 0 26 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 33 0 0 24 Mar 2023
Assessor-Guided Learning for Continual Environments M. A. Ma'sum Mahardhika Pratama E. Lughofer Weiping Ding W. Jatmiko 36 13 0 21 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Tongliang Liu Chun Yuan Dacheng Tao 49 4 0 20 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data Yinsheng He Xingyu Li MedIm 25 2 0 18 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 46 13 0 15 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 42 1 0 13 Mar 2023
Knowledge-augmented Few-shot Visual Relation Detection Tianyu Yu Yongqian Li Jiaoyan Chen Hai-Tao Zheng Haitao Zheng ... Qingbin Liu Wenqiang Liu Dongxiao Huang Bei Wu Yexin Wang 55 6 0 09 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition Xiang Wang Shiwei Zhang Jun Cen Changxin Gao Yingya Zhang Deli Zhao Nong Sang VLM 29 53 0 06 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection Rabiul Awal Roy Ka-wei Lee Eshaan Tanwar Tanmay Garg Tanmoy Chakraborty 24 26 0 04 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners Renrui Zhang Xiangfei Hu Bohao Li Siyuan Huang Hanqiu Deng Hongsheng Li Yu Qiao Peng Gao VLM MLLM 45 170 0 03 Mar 2023
Learning to Adapt to Online Streams with Distribution Shifts Chenyan Wu Yimu Pan Yandong Li James Z. Wang TTA 32 3 0 02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 26 31 0 02 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska Xiantong Zhen M. Worring VLM 26 18 0 28 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 62 9 0 23 Feb 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 37 6 0 20 Feb 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition Xiangyu Zhou Qian-ru Wei Yuhui Zhang 27 0 0 19 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 33 3 0 18 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 31 32 0 16 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq Joty VLM LRM 28 15 0 16 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Wu 36 5 0 14 Feb 2023
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples Cong Wang Eric Florin Hsing-Yin Chang Jana Thayer Chun Hong Yoon 29 5 0 14 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 44 7 0 12 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 36 0 0 08 Feb 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models Changan Niu Chuanyi Li Vincent Ng Bin Luo ELM ALM 43 9 0 08 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Hefei Ling Zhouchen Lin Philip Torr Dacheng Tao CLL 44 98 0 06 Feb 2023
Continual Learning with Scaled Gradient Projection Gobinda Saha Kaushik Roy CLL 19 27 0 02 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 37 30 0 02 Feb 2023
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment Hao Liu Wilson Yan Pieter Abbeel 34 25 0 02 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 42 4 0 01 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation Guanqi Ding Xinzhe Han Shuhui Wang Xin Jin Dandan Tu Qingming Huang 31 9 0 01 Feb 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 35 6 0 30 Jan 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao-Li Li Wei Emma Zhang Yining Liu Zhan Hu Bo Zhang Xiaolin Hu 36 8 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Restricted Orthogonal Gradient Projection for Continual Learning Zeyuan Yang Zonghan Yang Peng Li Yang Liu CLL 34 4 0 28 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 30 18 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 2 0 26 Jan 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 40 0 0 26 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning Malik Boudiaf Etienne Bennequin Myriam Tami Antoine Toubhans Pablo Piantanida C´eline Hudelot Ismail Ben Ayed BDL 34 10 0 20 Jan 2023
Screen Correspondence: Mapping Interchangeable Elements between UIs Jason Wu Amanda Swearngin Xiaoyi Zhang Jeffrey Nichols Jeffrey P. Bigham 48 7 0 20 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition Jiazheng Xing Mengmeng Wang Yong-Jin Liu B. Mu ViT 23 33 0 19 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 38 0 0 19 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 41 1 0 16 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 20 102 0 16 Jan 2023
Neuro-symbolic Meta Reinforcement Learning for Trading S. Harini Gautam M. Shroff A. Srinivasan Prayushi Faldu L. Vig AIFin 32 3 0 15 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 21 19 0 06 Jan 2023
High-level semantic feature matters few-shot unsupervised domain adaptation Lei Yu Wanqi Yang Sheng Huang Lei Wang Ming Yang 27 3 0 05 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 38 3 0 04 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 52 17 0 03 Jan 2023