Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1904.03758
Cited By
v1
v2 (latest)
Meta-Learning with Differentiable Convex Optimization
7 April 2019
Kwonjoon Lee
Subhransu Maji
Avinash Ravichandran
Stefano Soatto
Re-assign community
ArXiv (abs)
PDF
HTML
Github (536★)
Papers citing
"Meta-Learning with Differentiable Convex Optimization"
36 / 336 papers shown
Title
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
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
Leo Feng
L. Zintgraf
Bei Peng
Shimon Whiteson
57
1
0
29 Nov 2019
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
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
Jinlu Liu
Liang Song
Yongqiang Qin
107
250
0
25 Nov 2019
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
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
139
417
0
06 Nov 2019
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
Sam Ringer
Will Williams
T. Ash
R. Francis
D. Macleod
SSL
51
12
0
18 Oct 2019
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
Hankook Lee
Sung Ju Hwang
Jinwoo Shin
SSL
68
63
0
14 Oct 2019
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
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
104
104
0
07 Oct 2019
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
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
319
648
0
19 Sep 2019
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
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELM
OffRL
112
35
0
12 Sep 2019
Deep Declarative Networks: A New Hope
Stephen Gould
Leonid Sigal
Dylan Campbell
AI4CE
95
108
0
11 Sep 2019
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
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
134
584
0
06 Sep 2019
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
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
92
168
0
16 Aug 2019
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
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
83
54
0
27 Jul 2019
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
Jong-Chyi Su
Subhransu Maji
B. Hariharan
SSL
AI4MH
63
19
0
17 Jun 2019
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
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
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
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
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
146
128
0
17 Apr 2019
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
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
205
670
0
10 Dec 2018
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
Previous
1
2
3
4
5
6
7