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Matching Networks for One Shot Learning
v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
ArXiv (abs)PDFHTML

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown
Title
SHOT: Suppressing the Hessian along the Optimization Trajectory for
  Gradient-Based Meta-Learning
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Junhoo Lee
Jayeon Yoo
Nojun Kwak
68
2
0
04 Oct 2023
Federated Conditional Stochastic Optimization
Federated Conditional Stochastic Optimization
Xidong Wu
Jianhui Sun
Zhengmian Hu
Junyi Li
Aidong Zhang
Heng-Chiao Huang
FedML
152
4
0
04 Oct 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge
  Regression
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
Tin Sum Cheng
Aurelien Lucchi
Ivan Dokmanić
Anastasis Kratsios
David Belius
63
5
0
02 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Qi Wang
Yiqin Lv
Yanghe Feng
Zheng Xie
Jincai Huang
76
9
0
01 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive
  Recommendation
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao
Donglin Wang
OffRL
112
74
0
01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property
  Prediction
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
Shiguang Wu
Yaqing Wang
Quanming Yao
54
4
0
01 Oct 2023
The Sparsity Roofline: Understanding the Hardware Limits of Sparse
  Neural Networks
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks
Cameron Shinn
Collin McCarthy
Saurav Muralidharan
Muhammad Osama
John Douglas Owens
61
2
0
30 Sep 2023
It HAS to be Subjective: Human Annotator Simulation via Zero-shot
  Density Estimation
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu
Jiajun He
Chuxu Zhang
P. Woodland
57
1
0
30 Sep 2023
Mitigating the Effect of Incidental Correlations on Part-based Learning
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt
Deepayan Das
Leonid Sigal
Vineeth N. Balasubramanian
79
4
0
30 Sep 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
Vaibhav Ganatra
70
3
0
28 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using
  Test-Time Feedback
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback
Teresa Yeo
Oğuzhan Fatih Kar
Zahra Sodagar
Amir Zamir
TTAOOD
74
4
0
27 Sep 2023
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical
  Network with Sentence-Level Weighting and Label Augmentation
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
Zeyu Wang
M. Iwaihara
73
2
0
27 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Xutao Li
Yew-Soon Ong
CLL
131
0
0
26 Sep 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion
Frugal Satellite Image Change Detection with Deep-Net Inversion
H. Sahbi
Sebastien Deschamps
86
0
0
26 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in
  Exemplar-Free Continual Learning
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
Dipam Goswami
Yuyang Liu
Bartlomiej Twardowski
Joost van de Weijer
CLL
91
61
0
25 Sep 2023
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot
  Classification with Unimodal Cues
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues
Ankit Jha
Debabrata Pal
Mainak Singha
Naman Agarwal
Biplab Banerjee
46
0
0
23 Sep 2023
Defending Pre-trained Language Models as Few-shot Learners against
  Backdoor Attacks
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
Zhaohan Xi
Tianyu Du
Changjiang Li
Ren Pang
S. Ji
Jinghui Chen
Fenglong Ma
Ting Wang
AAML
68
34
0
23 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning
Domain Adaptive Few-Shot Open-Set Learning
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
80
2
0
22 Sep 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
108
22
0
20 Sep 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation
Towards Robust Few-shot Point Cloud Semantic Segmentation
Yating Xu
Na Zhao
Gim Hee Lee
3DPC
51
3
0
20 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words
Yating Xu
Conghui Hu
Na Zhao
Gim Hee Lee
3DPC
97
7
0
20 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative
  Sub-regions for Few-shot Medical Image Segmentation
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
Yazhou Zhu
Shidong Wang
Tong Xin
Zheng Zhang
Haofeng Zhang
100
12
0
20 Sep 2023
Multi-grained Temporal Prototype Learning for Few-shot Video Object
  Segmentation
Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation
Nian Liu
Kepan Nan
Wangbo Zhao
Yuanwei Liu
Xiwen Yao
Salman Khan
Hisham Cholakkal
Rao Muhammad Anwer
Junwei Han
Fahad Shahbaz Khan
VOS
76
7
0
20 Sep 2023
Few-shot Object Detection in Remote Sensing: Lifting the Curse of
  Incompletely Annotated Novel Objects
Few-shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects
Fahong Zhang
Yilei Shi
Zhitong Xiong
Xiaoxiang Zhu
ObjD
92
21
0
19 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova
  Recognition
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition
Shubham Trehan
U. Ramachandran
Ruth Scimeca
Sathyanarayanan N. Aakur
54
0
0
18 Sep 2023
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of
  the Same Coin
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
Gabriel Moreira
Manuel Marques
João Paulo Costeira
Alexander Hauptmann
50
4
0
18 Sep 2023
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised
  Learning
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning
Lei Zhu
Zhanghan Ke
Rynson W. H. Lau
64
2
0
18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene
  Classification
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification
Junjie Zhu
Yiying Li
Chunping Qiu
Ke Yang
Naiyang Guan
Xiaodong Yi
95
7
0
17 Sep 2023
Enhancing Visual Perception in Novel Environments via Incremental Data
  Augmentation Based on Style Transfer
Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer
Abhibha Gupta
Rully Agus Hendrawan
Mansur Maturidi Arief
120
0
0
16 Sep 2023
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model
  Adaptation from Faces
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
Zhicun Yin
Ming-Yu Liu
Xiaoming Li
Hui Yang
Longan Xiao
W. Zuo
3DH
73
7
0
15 Sep 2023
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote
  Sensing Image Semantic Segmentation
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation
Linhan Wang
Shuo Lei
Jianfeng He
Shengkun Wang
Min Zhang
Chang-Tien Lu
77
7
0
11 Sep 2023
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Rongsheng Li
Yongqian Li
Hai-Tao Zheng
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
81
2
0
10 Sep 2023
Prompt Learning With Knowledge Memorizing Prototypes For Generalized
  Few-Shot Intent Detection
Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection
Chaiyut Luoyiching
Yongqian Li
Hai-Tao Zheng
Rongsheng Li
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
CLL
92
0
0
10 Sep 2023
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin
Shanshan Feng
Baoquan Zhang
Hongliang Qiao
Xutao Li
Yunming Ye
CLL
75
4
0
08 Sep 2023
ImageBind-LLM: Multi-modality Instruction Tuning
ImageBind-LLM: Multi-modality Instruction Tuning
Jiaming Han
Renrui Zhang
Wenqi Shao
Peng Gao
Peng Xu
...
Yafei Wen
Xiaoxin Chen
Xiangyu Yue
Hongsheng Li
Yu Qiao
MLLM
94
125
0
07 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning
Text-to-feature diffusion for audio-visual few-shot learning
Otniel-Bogdan Mercea
Thomas Hummel
A. Sophia Koepke
Zeynep Akata
VLM
84
2
0
07 Sep 2023
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental
  Learning
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning
In-Ug Yoon
Taehyean Choi
Sun-Kyung Lee
Young-Min Kim
Jong-Hwan Kim
CLL
100
6
0
06 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot
  Learning
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
87
1
0
05 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
102
0
0
04 Sep 2023
Big-model Driven Few-shot Continual Learning
Big-model Driven Few-shot Continual Learning
Ziqi Gu
Chunyan Xu
Zihan Lu
Xin Liu
Anbo Dai
Zhen Cui
CLL
62
1
0
02 Sep 2023
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random
  Discriminative Subspaces
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Kshitiz
Garvit Garg
Angshuman Paul
16
1
0
31 Aug 2023
Continual Learning From a Stream of APIs
Continual Learning From a Stream of APIs
Enneng Yang
Zhenyi Wang
Li Shen
Nan Yin
Tongliang Liu
Guibing Guo
Xingwei Wang
Dacheng Tao
CLL
83
3
0
31 Aug 2023
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
A. Hatem
Yiming Qian
Yang Wang
3DPC
122
9
0
31 Aug 2023
Improving Few-shot Image Generation by Structural Discrimination and
  Textural Modulation
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation
Mengping Yang
Zhe Wang
Wenyi Feng
Qian Zhang
Tingzhe Xiao
DiffM
83
4
0
30 Aug 2023
A General-Purpose Self-Supervised Model for Computational Pathology
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
...
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
138
44
0
29 Aug 2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of
  Protein Simulators
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators
Jingbang Chen
Yian Wang
Xingwei Qu
Shuangjia Zheng
Yao-Chun Yang
Hao Dong
Jie Fu
63
0
0
29 Aug 2023
When hard negative sampling meets supervised contrastive learning
When hard negative sampling meets supervised contrastive learning
Zijun Long
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Zaiqiao Meng
SSL
47
3
0
28 Aug 2023
Continual Learning with Dynamic Sparse Training: Exploring Algorithms
  for Effective Model Updates
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
Murat Onur Yildirim
Elif Ceren Gok Yildirim
Ghada Sokar
Decebal Constantin Mocanu
Joaquin Vanschoren
CLL
56
8
0
28 Aug 2023
A Multi-Task Semantic Decomposition Framework with Task-specific
  Pre-training for Few-Shot NER
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER
Guanting Dong
Zechen Wang
Jinxu Zhao
Gang Zhao
Daichi Guo
...
Keqing He
Xuefeng Li
Liwen Wang
Xinyue Cui
Weiran Xu
84
22
0
28 Aug 2023
Fair Few-shot Learning with Auxiliary Sets
Fair Few-shot Learning with Auxiliary Sets
Song Wang
Jing Ma
Lu Cheng
Jundong Li
76
2
0
28 Aug 2023
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