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TADAM: Task dependent adaptive metric for improved few-shot learning

TADAM: Task dependent adaptive metric for improved few-shot learning

23 May 2018
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
ArXivPDFHTML

Papers citing "TADAM: Task dependent adaptive metric for improved few-shot learning"

50 / 241 papers shown
Title
Meta-Generating Deep Attentive Metric for Few-shot Classification
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
42
28
0
03 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao
Chunyuan Li
Ping Yu
Changyou Chen
32
6
0
02 Dec 2020
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik R. Narasimhan
Thomas Griffiths
24
4
0
27 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
18
70
0
24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
17
2
0
19 Nov 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
44
28
0
22 Oct 2020
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic Memory
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSL
BDL
VLM
DRL
15
34
0
20 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji
Junjie Yang
Yingbin Liang
28
249
0
15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
30
45
0
13 Oct 2020
Modurec: Recommender Systems with Feature and Time Modulation
Modurec: Recommender Systems with Feature and Time Modulation
Javier Maroto
Clément Vignac
P. Frossard
10
1
0
13 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning
  Theory
Improving Few-Shot Learning through Multi-task Representation Learning Theory
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
45
10
0
05 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning
Fast Few-Shot Classification by Few-Iteration Meta-Learning
A. S. Tripathi
Martin Danelljan
Luc Van Gool
Radu Timofte
34
6
0
01 Oct 2020
Interventional Few-Shot Learning
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
26
225
0
28 Sep 2020
Weak-shot Fine-grained Classification via Similarity Transfer
Weak-shot Fine-grained Classification via Similarity Transfer
Junjie Chen
Li Niu
Liu Liu
Liqing Zhang
36
21
0
19 Sep 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
29
22
0
18 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang
Yifan Zhao
Jia Li
Yonghong Tian
13
35
0
10 Aug 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
26
54
0
30 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
50
81
0
26 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the
  Wild
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
46
314
0
23 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chia-Ju Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
25
205
0
20 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
34
3
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
Adaptive Task Sampling for Meta-Learning
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
30
54
0
17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
13
7
0
16 Jul 2020
Concept Learners for Few-Shot Learning
Concept Learners for Few-Shot Learning
Kaidi Cao
Maria Brbic
J. Leskovec
VLM
OffRL
30
4
0
14 Jul 2020
RGB-D Salient Object Detection with Cross-Modality Modulation and
  Selection
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
Chongyi Li
Runmin Cong
Yongri Piao
Qianqian Xu
Chen Change Loy
30
130
0
14 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier
Predicting the Accuracy of a Few-Shot Classifier
Myriam Bontonou
Louis Bethune
Vincent Gripon
8
4
0
08 Jul 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
29
125
0
21 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
31
91
0
17 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
J. Lee
Yingbin Liang
H. Vincent Poor
26
74
0
16 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel
  Regression
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman
Anders Hansson
B. Wahlberg
25
8
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
27
34
0
11 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
24
192
0
28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDL
EDL
28
89
0
27 May 2020
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
28
5
0
30 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLM
OffRL
19
35
0
17 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
82
1,935
0
11 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
12
39
0
01 Apr 2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets
  without Superior Knowledge
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Long Zhao
Xi Peng
Yuxiao Chen
Mubbasir Kapadia
Dimitris N. Metaxas
16
66
0
01 Apr 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu
Yue Cao
Yutong Lin
Qi Li
Zheng-Wei Zhang
Mingsheng Long
Han Hu
29
318
0
26 Mar 2020
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
37
12
0
20 Mar 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
22
12
0
18 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
4
192
0
09 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors
PAC-Bayes meta-learning with implicit task-specific posteriors
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
BDL
39
7
0
05 Mar 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
25
283
0
27 Feb 2020
Few-shot acoustic event detection via meta-learning
Few-shot acoustic event detection via meta-learning
Bowen Shi
Ming Sun
Krishna C. Puvvada
Chieh-Chi Kao
Spyros Matsoukas
Chao Wang
20
60
0
21 Feb 2020
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Rongrong Ji
Chih-Min Lin
67
33
0
08 Feb 2020
Meta-learning framework with applications to zero-shot time-series
  forecasting
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
UQCV
AI4TS
AI4CE
39
106
0
07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
12
0
06 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
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
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
30
48
0
22 Jan 2020
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