Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1611.00712
Cited By
v1
v2
v3 (latest)
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
2 November 2016
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"
50 / 1,581 papers shown
Discrete Autoencoders for Sequence Models
Lukasz Kaiser
Samy Bengio
BDL
200
52
0
29 Jan 2018
Empirical Explorations in Training Networks with Discrete Activations
S. Baluja
MQ
83
1
0
16 Jan 2018
Unsupervised Cipher Cracking Using Discrete GANs
Aidan Gomez
Sicong Huang
Ivan Zhang
Bryan M. Li
Muhammad Osama
Lukasz Kaiser
GAN
114
64
0
15 Jan 2018
Quadrature Compound: An approximating family of distributions
Joshua V. Dillon
I. Langmore
TPM
100
2
0
09 Jan 2018
Dropout Feature Ranking for Deep Learning Models
C. Chang
Ladislav Rampášek
Anna Goldenberg
OOD
164
52
0
22 Dec 2017
DropMax: Adaptive Variational Softmax
Neural Information Processing Systems (NeurIPS), 2017
Haebeom Lee
Juho Lee
Saehoon Kim
Eunho Yang
Sung Ju Hwang
188
16
0
21 Dec 2017
Privacy-Preserving Adversarial Networks
Allerton Conference on Communication, Control, and Computing (Allerton), 2017
Ardhendu Shekhar Tripathy
Ye Wang
Prakash Ishwar
PICV
197
87
0
19 Dec 2017
Learning Binary Residual Representations for Domain-specific Video Streaming
Yi-Hsuan Tsai
Ming-Yuan Liu
Deqing Sun
Ming-Hsuan Yang
Jan Kautz
111
35
0
14 Dec 2017
Learning Sparse Neural Networks through
L
0
L_0
L
0
Regularization
Christos Louizos
Max Welling
Diederik P. Kingma
1.5K
1,235
0
04 Dec 2017
The reparameterization trick for acquisition functions
James T. Wilson
Riccardo Moriconi
Katharina Eggensperger
M. Deisenroth
162
90
0
01 Dec 2017
Probabilistic Adaptive Computation Time
Michael Figurnov
Artem Sobolev
Dmitry Vetrov
BDL
166
8
0
01 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized Inference
Stefan Webb
Adam Goliñski
R. Zinkov
Siddharth Narayanaswamy
Tom Rainforth
Yee Whye Teh
Frank Wood
TPM
186
52
0
01 Dec 2017
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
248
401
0
30 Nov 2017
TensorFlow Distributions
Joshua V. Dillon
I. Langmore
Dustin Tran
E. Brevdo
Srinivas Vasudevan
David A. Moore
Brian Patton
Alexander A. Alemi
Matt Hoffman
Rif A. Saurous
GP
245
374
0
28 Nov 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Francis Dutil
Çağlar Gülçehre
Adam Trischler
Yoshua Bengio
108
12
0
28 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
334
705
0
26 Nov 2017
Using stochastic computation graphs formalism for optimization of sequence-to-sequence model
Eugene Golikov
Vlad Zhukov
M. Kretov
89
0
0
21 Nov 2017
Is prioritized sweeping the better episodic control?
Johanni Brea
85
8
0
20 Nov 2017
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
235
72
0
17 Nov 2017
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
David Madras
T. Pitassi
R. Zemel
FaML
381
257
0
17 Nov 2017
An Iterative Closest Points Approach to Neural Generative Models
Joose Rajamäki
Perttu Hämäläinen
3DPC
207
1
0
16 Nov 2017
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
580
774
0
15 Nov 2017
ACtuAL: Actor-Critic Under Adversarial Learning
Anirudh Goyal
Nan Rosemary Ke
Alex Lamb
R. Devon Hjelm
C. Pal
Joelle Pineau
Yoshua Bengio
GAN
105
9
0
13 Nov 2017
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
Ting Chen
Martin Renqiang Min
Yizhou Sun
163
10
0
08 Nov 2017
A
4
N
T
A^{4}NT
A
4
NT
: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
Rakshith Shetty
Bernt Schiele
Mario Fritz
237
100
0
06 Nov 2017
Compressing Word Embeddings via Deep Compositional Code Learning
Raphael Shu
Hideki Nakayama
135
133
0
03 Nov 2017
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
639
6,337
0
02 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl
Dami Choi
Yuhuai Wu
Geoffrey Roeder
David Duvenaud
371
309
0
31 Oct 2017
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
625
1,528
0
31 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
Scott W. Linderman
Gonzalo E. Mena
H. Cooper
Liam Paninski
John P. Cunningham
153
51
0
26 Oct 2017
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
IEEE International Conference on Robotics and Automation (ICRA), 2017
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
226
179
0
25 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick
Oran Shayer
Dan Levi
Ethan Fetaya
188
90
0
21 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro
Simon Kamronn
Ulrich Paquet
Ole Winther
BDL
253
303
0
16 Oct 2017
Emergent Translation in Multi-Agent Communication
Jason D. Lee
Dong Wang
Jason Weston
Douwe Kiela
202
69
0
12 Oct 2017
Variational Memory Addressing in Generative Models
J. Bornschein
A. Mnih
Daniel Zoran
Danilo Jimenez Rezende
BDL
148
63
0
21 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning
Jiaxin Shi
Jianfei Chen
Jun Zhu
Shengyang Sun
Yucen Luo
Yihong Gu
Yuhao Zhou
UQCV
BDL
147
43
0
18 Sep 2017
Hierarchical Multi-scale Attention Networks for Action Recognition
Shiyang Yan
Jeremy S. Smith
Wenjin Lu
Bailing Zhang
158
37
0
25 Aug 2017
A learning framework for winner-take-all networks with stochastic synapses
Neural Computation (Neural Comput.), 2017
Hesham Mostafa
Gert Cauwenberghs
BDL
177
14
0
14 Aug 2017
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Kartik Goyal
Graham Neubig
Chris Dyer
Taylor Berg-Kirkpatrick
3DV
256
40
0
01 Aug 2017
Learning to Compose Task-Specific Tree Structures
Jihun Choi
Kang Min Yoo
Sang-goo Lee
352
195
0
10 Jul 2017
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu
Daniel Jiwoong Im
Victor O.K. Li
179
40
0
22 Jun 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He
James Wei
Xinyun Chen
Nicholas Carlini
Basel Alomair
AAML
171
242
0
15 Jun 2017
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder
Çağlar Gülçehre
Francis Dutil
Adam Trischler
Yoshua Bengio
145
7
0
13 Jun 2017
Adversarially Regularized Autoencoders
Jiaqi Zhao
Yoon Kim
Kelly Zhang
Alexander M. Rush
Yann LeCun
DRL
GNN
GAN
164
79
0
13 Jun 2017
Adversarial Feature Matching for Text Generation
International Conference on Machine Learning (ICML), 2017
Yizhe Zhang
Zhe Gan
Kai Fan
Zhi Chen
Ricardo Henao
Dinghan Shen
Lawrence Carin
GAN
216
349
0
12 Jun 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Neural Information Processing Systems (NeurIPS), 2017
Jiasen Lu
A. Kannan
Jianwei Yang
Devi Parikh
Dhruv Batra
BDL
183
138
0
05 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Neural Information Processing Systems (NeurIPS), 2017
Siddharth Narayanaswamy
Brooks Paige
Jan-Willem van de Meent
Alban Desmaison
Noah D. Goodman
Pushmeet Kohli
Frank Wood
Juil Sock
DRL
CoGe
412
374
0
01 Jun 2017
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Neural Information Processing Systems (NeurIPS), 2017
Serhii Havrylov
Ivan Titov
LLMAG
240
305
0
31 May 2017
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDL
CLL
429
128
0
27 May 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
T. Shen
Tao Lei
Regina Barzilay
Tommi Jaakkola
320
806
0
26 May 2017
Previous
1
2
3
...
30
31
32
Next
