Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1703.05175
Cited By
Prototypical Networks for Few-shot Learning
15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Prototypical Networks for Few-shot Learning"
50 / 1,375 papers shown
Title
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
12
0
06 Feb 2020
Limitations of weak labels for embedding and tagging
Nicolas Turpault
Romain Serizel
Emmanuel Vincent
26
9
0
05 Feb 2020
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes
E.C. Garrido-Merchán
M. Molina
AI4CE
22
11
0
02 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
28
40
0
01 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
32
387
0
23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
30
48
0
22 Jan 2020
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Wenxuan Wang
Yanwei Fu
Qiang Sun
Tao Chen
Chenjie Cao
Ziqi Zheng
Guoqiang Xu
Han Qiu
Yu-Gang Jiang
Xiangyang Xue
CVBM
29
14
0
17 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip Torr
SSL
39
60
0
12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention
Hongguang Zhang
Li Zhang
Xiaojuan Qi
Hongdong Li
Philip Torr
Piotr Koniusz
27
3
0
12 Jan 2020
Fine-grained Image-to-Image Transformation towards Visual Recognition
Wei Xiong
Yutong He
Yixuan Zhang
Wenhan Luo
Lin Ma
Jiebo Luo
CVBM
35
26
0
12 Jan 2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Seobin Park
Jinsu Yoo
Donghyeon Cho
Jiwon Kim
Tae Hyun Kim
SupR
23
83
0
09 Jan 2020
Diversity Transfer Network for Few-Shot Learning
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
20
69
0
31 Dec 2019
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
114
1,183
0
24 Dec 2019
Measuring Dataset Granularity
Huayu Chen
Zeqi Gu
D. Mahajan
Laurens van der Maaten
Serge J. Belongie
Ser-Nam Lim
29
13
0
21 Dec 2019
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
24
56
0
20 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
30
63
0
20 Dec 2019
Continuous Meta-Learning without Tasks
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLL
OOD
32
79
0
18 Dec 2019
Machine Unlearning
Lucas Bourtoule
Varun Chandrasekaran
Christopher A. Choquette-Choo
Hengrui Jia
Adelin Travers
Baiwu Zhang
David Lie
Nicolas Papernot
MU
65
818
0
09 Dec 2019
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSL
VLM
27
132
0
06 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning
Byungju Kim
Junmo Kim
30
76
0
04 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration
Chen Xing
Sercan O. Arik
Zizhao Zhang
Tomas Pfister
FedML
23
39
0
03 Dec 2019
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh
Yi-Chen Lo
Hwann-Tzong Chen
Tyng-Luh Liu
ObjD
33
165
0
28 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
30
10
0
28 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
31
136
0
25 Nov 2019
Deep Anomaly Detection with Deviation Networks
Guansong Pang
Chunhua Shen
Anton Van Den Hengel
28
351
0
19 Nov 2019
Open Cross-Domain Visual Search
William Thong
Pascal Mettes
Cees G. M. Snoek
30
13
0
19 Nov 2019
An explanation method for Siamese neural networks
Lev V. Utkin
M. Kovalev
E. Kasimov
27
14
0
18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
46
68
0
18 Nov 2019
Prototypical Networks for Multi-Label Learning
Zhuo Yang
Yufei Han
Guoxian Yu
Qiang Yang
Xiangliang Zhang
23
8
0
17 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
16
108
0
14 Nov 2019
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events
Kazuki Shimada
Yuichiro Koyama
A. Inoue
30
23
0
30 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
32
219
0
30 Oct 2019
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
HIDRA: Head Initialization across Dynamic targets for Robust Architectures
Rafael Rêgo Drumond
L. Brinkmeyer
Josif Grabocka
Lars Schmidt-Thieme
21
4
0
28 Oct 2019
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning
Sadaf Gull
F. Minhas
29
10
0
28 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition
Jui-Yang Hsu
Yuan-Jui Chen
Hung-yi Lee
30
103
0
26 Oct 2019
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng
Ningyu Zhang
Jiaojian Kang
Yichi Zhang
Wei Zhang
Huajun Chen
31
131
0
25 Oct 2019
Meta-learning for robust child-adult classification from speech
Nithin Rao Koluguri
Manoj Kumar
So Hyun Kim
C. Lord
Shrikanth Narayanan
28
19
0
24 Oct 2019
Identifying Unknown Instances for Autonomous Driving
K. Wong
Shenlong Wang
Mengye Ren
Ming Liang
R. Urtasun
22
110
0
24 Oct 2019
A Prototypical Triplet Loss for Cover Detection
Guillaume Doras
Geoffroy Peeters
16
17
0
22 Oct 2019
Convolutional Prototype Learning for Zero-Shot Recognition
Zhizhe Liu
Xingxing Zhang
Zhenfeng Zhu
Shuai Zheng
Yao Zhao
Jian Cheng
VLM
17
19
0
22 Oct 2019
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
OODD
106
1,190
0
21 Oct 2019
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
212
634
0
17 Oct 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
211
244
0
16 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar
Hadrien Glaude
Cyprien de Lichy
William Campbell
26
83
0
09 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
31
168
0
08 Oct 2019
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng Jiang
Suhang Wang
Junzhou Huang
Nitesh Chawla
Z. Li
56
162
0
07 Oct 2019
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels
Daniel Y. Fu
Will Crichton
James Hong
Xinwei Yao
Haotian Zhang
A. Truong
A. Narayan
Maneesh Agrawala
Christopher Ré
Kayvon Fatahalian
19
48
0
07 Oct 2019
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
14
98
0
07 Oct 2019
Previous
1
2
3
...
23
24
25
26
27
28
Next