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Meta-Learning with Differentiable Convex Optimization
v1v2 (latest)

Meta-Learning with Differentiable Convex Optimization

7 April 2019
Kwonjoon Lee
Subhransu Maji
Avinash Ravichandran
Stefano Soatto
ArXiv (abs)PDFHTMLGithub (536★)

Papers citing "Meta-Learning with Differentiable Convex Optimization"

36 / 336 papers shown
Title
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
75
151
0
11 Dec 2019
MetaFun: Meta-Learning with Iterative Functional Updates
MetaFun: Meta-Learning with Iterative Functional Updates
Jin Xu
Jean-François Ton
Hyunjik Kim
Adam R. Kosiorek
Yee Whye Teh
75
68
0
05 Dec 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss
VIABLE: Fast Adaptation via Backpropagating Learned Loss
Leo Feng
L. Zintgraf
Bei Peng
Shimon Whiteson
57
1
0
29 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
114
11
0
28 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
88
139
0
25 Nov 2019
Generalized Adaptation for Few-Shot Learning
Liang Song
Jinlu Liu
Yongqiang Qin
VLM
71
8
0
25 Nov 2019
Prototype Rectification for Few-Shot Learning
Prototype Rectification for Few-Shot Learning
Jinlu Liu
Liang Song
Yongqiang Qin
107
250
0
25 Nov 2019
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Pinzhuo Tian
Zhangkai Wu
Lei Qi
Lei Wang
Yinghuan Shi
Yang Gao
VLM
73
83
0
23 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
139
417
0
06 Nov 2019
Differentiable Convex Optimization Layers
Differentiable Convex Optimization Layers
Akshay Agrawal
Brandon Amos
Shane T. Barratt
Stephen P. Boyd
Steven Diamond
Zico Kolter
102
666
0
28 Oct 2019
Texture Bias Of CNNs Limits Few-Shot Classification Performance
Texture Bias Of CNNs Limits Few-Shot Classification Performance
Sam Ringer
Will Williams
T. Ash
R. Francis
D. Macleod
SSL
51
12
0
18 Oct 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
280
647
0
17 Oct 2019
Self-supervised Label Augmentation via Input Transformations
Self-supervised Label Augmentation via Input Transformations
Hankook Lee
Sung Ju Hwang
Jinwoo Shin
SSL
68
63
0
14 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
98
171
0
08 Oct 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
104
104
0
07 Oct 2019
Meta-Q-Learning
Meta-Q-Learning
Rasool Fakoor
Pratik Chaudhari
Stefano Soatto
Alex Smola
OffRL
95
149
0
30 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
319
648
0
19 Sep 2019
Torchmeta: A Meta-Learning library for PyTorch
Torchmeta: A Meta-Learning library for PyTorch
T. Deleu
Tobias Würfl
Mandana Samiei
Joseph Paul Cohen
Yoshua Bengio
OffRL
74
85
0
14 Sep 2019
Modular Meta-Learning with Shrinkage
Modular Meta-Learning with Shrinkage
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELMOffRL
112
35
0
12 Sep 2019
Deep Declarative Networks: A New Hope
Deep Declarative Networks: A New Hope
Stephen Gould
Leonid Sigal
Dylan Campbell
AI4CE
95
108
0
11 Sep 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
162
859
0
10 Sep 2019
A Baseline for Few-Shot Image Classification
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
134
584
0
06 Sep 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
110
210
0
30 Aug 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional Signatures
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
92
168
0
16 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
113
329
0
28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OODBDLUQCV
83
54
0
27 Jul 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
96
96
0
06 Jul 2019
Boosting Supervision with Self-Supervision for Few-shot Learning
Boosting Supervision with Self-Supervision for Few-shot Learning
Jong-Chyi Su
Subhransu Maji
B. Hariharan
SSLAI4MH
63
19
0
17 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
104
59
0
07 Jun 2019
Baby steps towards few-shot learning with multiple semantics
Baby steps towards few-shot learning with multiple semantics
Eli Schwartz
Leonid Karlinsky
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
110
106
0
05 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li
Qianru Sun
Yaoyao Liu
Shibao Zheng
Qin Zhou
Tat-Seng Chua
Bernt Schiele
SSL
76
272
0
03 Jun 2019
Meta Dropout: Learning to Perturb Features for Generalization
Meta Dropout: Learning to Perturb Features for Generalization
Haebeom Lee
Taewook Nam
Eunho Yang
Sung Ju Hwang
OOD
68
3
0
30 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
146
128
0
17 Apr 2019
Meta-Curvature
Meta-Curvature
Eunbyung Park
Junier B. Oliva
BDL
78
124
0
09 Feb 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
205
670
0
10 Dec 2018
RelationNet2: Deep Comparison Columns for Few-Shot Learning
RelationNet2: Deep Comparison Columns for Few-Shot Learning
Xueting Zhang
Yuting Qiang
Flood Sung
Yongxin Yang
Timothy M. Hospedales
64
18
0
17 Nov 2018
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