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Large Margin Few-Shot Learning

Large Margin Few-Shot Learning

8 July 2018
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
V. Li
    MQ
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Papers citing "Large Margin Few-Shot Learning"

15 / 15 papers shown
Title
Selective Annotation via Data Allocation: These Data Should Be Triaged
  to Experts for Annotation Rather Than the Model
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
Chen Huang
Yang Deng
Wenqiang Lei
Jiancheng Lv
Ido Dagan
48
4
0
20 May 2024
On the cross-lingual transferability of multilingual prototypical models
  across NLU tasks
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
Oralie Cattan
Christophe Servan
S. Rosset
34
9
0
19 Jul 2022
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric
  Learning
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
49
20
0
30 Oct 2021
Recent Advances in Large Margin Learning
Recent Advances in Large Margin Learning
Yiwen Guo
Changshui Zhang
AAML
AI4CE
36
13
0
25 Mar 2021
Adaptive Prototypical Networks with Label Words and Joint Representation
  Learning for Few-Shot Relation Classification
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification
Yan Xiao
Yaochu Jin
K. Hao
50
43
0
10 Jan 2021
Contrastive Weight Regularization for Large Minibatch SGD
Contrastive Weight Regularization for Large Minibatch SGD
Qiwei Yuan
Weizhe Hua
Yi Zhou
Cunxi Yu
OffRL
21
1
0
17 Nov 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
19
47
0
06 Sep 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
21
14
0
19 May 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
31
49
0
20 Mar 2020
Variational Metric Scaling for Metric-Based Meta-Learning
Variational Metric Scaling for Metric-Based Meta-Learning
Jiaxin Chen
Li-Ming Zhan
Xiao-Ming Wu
K. F. Chung
13
47
0
26 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
8
150
0
11 Dec 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
24
93
0
06 Jul 2019
Comparison Network for One-Shot Conditional Object Detection
Tengfei Zhang
Yue Zhang
Xian Sun
Hao Sun
Ming Yan
Xue Yang
Kun Fu
ObjD
53
23
0
04 Apr 2019
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
37
89
0
28 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
478
11,715
0
09 Mar 2017
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