Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1803.04300
Cited By
v1
v2 (latest)
Neural Conditional Gradients
12 March 2018
P. Schramowski
Christian Bauckhage
Kristian Kersting
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Neural Conditional Gradients"
9 / 9 papers shown
Title
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm
Wenjie Zheng
A. Bellet
Patrick Gallinari
67
19
0
20 Dec 2017
Learned Optimizers that Scale and Generalize
Olga Wichrowska
Niru Maheswaranathan
Matthew W. Hoffman
Sergio Gomez Colmenarejo
Misha Denil
Nando de Freitas
Jascha Narain Sohl-Dickstein
AI4CE
62
284
0
14 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
165
972
0
01 Mar 2017
Learning to reinforcement learn
Jane X. Wang
Z. Kurth-Nelson
Dhruva Tirumala
Hubert Soyer
Joel Z Leibo
Rémi Munos
Charles Blundell
D. Kumaran
M. Botvinick
OffRL
97
983
0
17 Nov 2016
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
122
2,008
0
14 Jun 2016
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,357
0
30 Sep 2015
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François‐Xavier Briol
Chris J. Oates
Mark Girolami
Michael A. Osborne
91
90
0
08 Jun 2015
Deep Learning using Linear Support Vector Machines
Yichuan Tang
95
894
0
02 Jun 2013
1