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Matching Networks for One Shot Learning

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
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Papers citing "Matching Networks for One Shot Learning"

50 / 1,001 papers shown
Title
Exploring the Space of Key-Value-Query Models with Intention
Exploring the Space of Key-Value-Query Models with Intention
M. Garnelo
Wojciech M. Czarnecki
35
7
0
17 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning
Learning More Discriminative Local Descriptors for Few-shot Learning
Qi Song
Siyun Zhou
Liwei Xu
19
2
0
15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction
Wanli Li
T. Qian
Yi Song
Zeyu Zhang
Jiawei Li
Zhuang Chen
Lixin Zou
65
1
0
03 May 2023
Learning to Extrapolate: A Transductive Approach
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kaipeng Zhang
Pulkit Agrawal
49
15
0
27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
21
6
0
27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving
  Few-Shot Learning
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
23
10
0
26 Apr 2023
Learning Partial Correlation based Deep Visual Representation for Image
  Classification
Learning Partial Correlation based Deep Visual Representation for Image Classification
Saimunur Rahman
Piotr Koniusz
Lei Wang
Luping Zhou
Peyman Moghadam
Changming Sun
SSL
29
9
0
23 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
28
6
0
13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
43
0
0
13 Apr 2023
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
45
17
0
12 Apr 2023
Meta-Learned Models of Cognition
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
A. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
30
25
0
12 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong
  Learning
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
Wenjin Wang
Yunqing Hu
Qianglong Chen
Yin Zhang
CLL
32
13
0
11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
51
141
0
11 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot
  Keypoint Detection
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection
Changsheng Lu
Hao Zhu
Piotr Koniusz
48
11
0
06 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
S. Basu
Daniela Massiceti
S. Hu
S. Feizi
VLM
34
28
0
04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
31
15
0
04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by
  Manipulating Eigenvalue Distribution
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
13
21
0
04 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot
  Action Recognition
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
24
40
0
03 Apr 2023
Sketch-based Video Object Localization
Sketch-based Video Object Localization
Sangmin Woo
So-Yeong Jeon
Jinyoung Park
Minji Son
Sumin Lee
Changick Kim
13
0
0
02 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye
Hongyuan Zhu
Bo-Wen Zhang
Tao Chen
3DPC
29
15
0
31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification?
What Makes for Effective Few-shot Point Cloud Classification?
Chuangguan Ye
Hongyuan Zhu
Yongbin Liao
Yang-ting Zhang
Tao Chen
Jiayuan Fan
3DPC
27
26
0
31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Yilang Zhang
Bingcong Li
Shi-Ji Gao
G. Giannakis
BDL
21
9
0
31 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable
  Convex Optimization
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
Tanmay Gautam
Samuel Pfrommer
Somayeh Sojoudi
23
2
0
29 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning
CoDeC: Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary
Sai Aparna Aketi
Gobinda Saha
Kaushik Roy
CLL
45
3
0
27 Mar 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual
  Learning
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
Nader Asadi
Mohammad Davar
Sudhir Mudur
Rahaf Aljundi
Eugene Belilovsky
CLL
34
35
0
26 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning
Two-level Graph Network for Few-Shot Class-Incremental Learning
Hao Chen
Linyan Li
Fan Lyu
Fuyuan Hu
Zhenping Xia
Fenglei Xu
CLL
28
0
0
24 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
47
4
0
20 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with
  Limited Tumorous Data
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
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
32
13
0
15 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
X. Lin
Sijia Liu
AAML
MLAU
29
1
0
13 Mar 2023
Knowledge-augmented Few-shot Visual Relation Detection
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
52
6
0
09 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Rabiul Awal
Roy Ka-Wei Lee
Eshaan Tanwar
Tanmay Garg
Tanmoy Chakraborty
21
26
0
04 Mar 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
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
38
170
0
03 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
13
31
0
02 Mar 2023
Meta Learning to Bridge Vision and Language Models for Multimodal
  Few-Shot Learning
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Ivona Najdenkoska
Xiantong Zhen
M. Worring
VLM
13
18
0
28 Feb 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in
  Meta-Learning with PAC-Bayes
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
43
8
0
23 Feb 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Moon Ye-Bin
D. Choi
Y. Kwon
Junsik Kim
Tae-Hyun Oh
ISeg
30
6
0
20 Feb 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target
  Recognition
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition
Xiangyu Zhou
Qian-ru Wei
Yuhui Zhang
25
0
0
19 Feb 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning
An Adaptive Plug-and-Play Network for Few-Shot Learning
Hao Li
Li Li
Yun-Ya Huang
Ning Li
Yongtao Zhang
29
3
0
18 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
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
26
32
0
16 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Shafiq R. Joty
VLM
LRM
23
15
0
16 Feb 2023
SpeckleNN: A unified embedding for real-time speckle pattern
  classification in X-ray single-particle imaging with limited labeled examples
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
21
5
0
14 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
28
7
0
12 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative
  Models: Features, Models, and Any-shot Scenarios
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios
Liangjun Feng
Jiancheng Zhao
Chunhui Zhao
VLM
29
0
0
08 Feb 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code
  Models
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Changan Niu
Chuanyi Li
Vincent Ng
Bin Luo
ELM
ALM
34
9
0
08 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Hefei Ling
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
CLL
34
96
0
06 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network
Adaptive Siamese Tracking with a Compact Latent Network
Xingping Dong
Jianbing Shen
Fatih Porikli
Jiebo Luo
Ling Shao
35
30
0
02 Feb 2023
Language Quantized AutoEncoders: Towards Unsupervised Text-Image
  Alignment
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment
Hao Liu
Wilson Yan
Pieter Abbeel
26
24
0
02 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
27
4
0
01 Feb 2023
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