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The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016
Chris J. Maddison
A. Mnih
Yee Whye Teh
    BDL
ArXiv (abs)PDFHTML

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

50 / 1,583 papers shown
The continuous Bernoulli: fixing a pervasive error in variational
  autoencoders
The continuous Bernoulli: fixing a pervasive error in variational autoencodersNeural Information Processing Systems (NeurIPS), 2019
Gabriel Loaiza-Ganem
John P. Cunningham
DRL
335
90
0
16 Jul 2019
Batch-Shaping for Learning Conditional Channel Gated Networks
Batch-Shaping for Learning Conditional Channel Gated NetworksInternational Conference on Learning Representations (ICLR), 2019
B. Bejnordi
Tijmen Blankevoort
Max Welling
AI4CE
289
80
0
15 Jul 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Variational Autoencoders and Nonlinear ICA: A Unifying FrameworkInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Ilyes Khemakhem
Diederik P. Kingma
Ricardo Pio Monti
Aapo Hyvarinen
OOD
466
680
0
10 Jul 2019
EGG: a toolkit for research on Emergence of lanGuage in Games
EGG: a toolkit for research on Emergence of lanGuage in GamesConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Eugene Kharitonov
Rahma Chaabouni
Diane Bouchacourt
Marco Baroni
230
83
0
01 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang
Alexander R. Trott
Stephan Zheng
Caiming Xiong
R. Socher
194
21
0
01 Jul 2019
The Thermodynamic Variational Objective
The Thermodynamic Variational ObjectiveNeural Information Processing Systems (NeurIPS), 2019
Vaden Masrani
T. Le
Frank Wood
704
50
0
28 Jun 2019
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory
  Network
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory NetworkInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Zhangheng Li
Jia-Xing Zhong
Jingjia Huang
Tao Zhang
Thomas H. Li
Ge Li
170
2
0
28 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Agrim Gupta
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
231
28
0
26 Jun 2019
Monte Carlo Gradient Estimation in Machine Learning
Monte Carlo Gradient Estimation in Machine LearningJournal of machine learning research (JMLR), 2019
S. Mohamed
Mihaela Rosca
Michael Figurnov
A. Mnih
345
472
0
25 Jun 2019
SampleFix: Learning to Generate Functionally Diverse Fixes
SampleFix: Learning to Generate Functionally Diverse Fixes
Hossein Hajipour
Apratim Bhattacharyya
Cristian-Alexandru Staicu
Mario Fritz
245
6
0
24 Jun 2019
Densely Connected Search Space for More Flexible Neural Architecture
  Search
Densely Connected Search Space for More Flexible Neural Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2019
Jiemin Fang
Yuzhu Sun
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
320
135
0
23 Jun 2019
Smaller Text Classifiers with Discriminative Cluster Embeddings
Smaller Text Classifiers with Discriminative Cluster EmbeddingsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018
Mingda Chen
Kevin Gimpel
153
6
0
23 Jun 2019
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
SeGMA: Semi-Supervised Gaussian Mixture Auto-EncoderIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Marek Śmieja
Maciej Wołczyk
Jacek Tabor
Bernhard C. Geiger
169
24
0
21 Jun 2019
The Functional Neural Process
The Functional Neural ProcessNeural Information Processing Systems (NeurIPS), 2019
Christos Louizos
Xiahan Shi
Klamer Schutte
Max Welling
BDL
238
81
0
19 Jun 2019
Scheduled Sampling for Transformers
Scheduled Sampling for TransformersAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Tsvetomila Mihaylova
André F. T. Martins
252
73
0
18 Jun 2019
Prune and Replace NAS
Prune and Replace NASInternational Conference on Machine Learning and Applications (ICMLA), 2019
Kevin Laube
A. Zell
175
13
0
18 Jun 2019
vGraph: A Generative Model for Joint Community Detection and Node
  Representation Learning
vGraph: A Generative Model for Joint Community Detection and Node Representation LearningNeural Information Processing Systems (NeurIPS), 2019
Fan-Yun Sun
Meng Qu
Jordan Hoffmann
Chin-Wei Huang
Jian Tang
BDL
228
99
0
18 Jun 2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Structured Pruning of Recurrent Neural Networks through Neuron SelectionNeural Networks (NN), 2019
Liangjiang Wen
Xuanyang Zhang
Haoli Bai
Zenglin Xu
157
41
0
17 Jun 2019
Stacked Capsule Autoencoders
Stacked Capsule AutoencodersNeural Information Processing Systems (NeurIPS), 2019
Adam R. Kosiorek
S. Sabour
Yee Whye Teh
Geoffrey E. Hinton
OCL
237
274
0
17 Jun 2019
Amortized Bethe Free Energy Minimization for Learning MRFs
Amortized Bethe Free Energy Minimization for Learning MRFsNeural Information Processing Systems (NeurIPS), 2019
Sam Wiseman
Yoon Kim
TPMDRL
176
11
0
14 Jun 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete
  Action Spaces
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action SpacesNeural Information Processing Systems (NeurIPS), 2019
Guy Lorberbom
Chris J. Maddison
N. Heess
Tamir Hazan
Daniel Tarlow
212
8
0
14 Jun 2019
Non-Differentiable Supervised Learning with Evolution Strategies and
  Hybrid Methods
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods
Karel Lenc
Erich Elsen
Tom Schaul
Karen Simonyan
121
20
0
07 Jun 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
741
2,796
0
06 Jun 2019
Variational Inference for Graph Convolutional Networks in the Absence of
  Graph Data and Adversarial Settings
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
P. Elinas
Edwin V. Bonilla
Louis C. Tiao
BDLGNN
394
10
0
05 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence
  Matching
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence MatchingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Jihun Choi
Taeuk Kim
Sang-goo Lee
BDL
153
6
0
04 Jun 2019
Transcoding compositionally: using attention to find more generalizable
  solutions
Transcoding compositionally: using attention to find more generalizable solutions
K. Korrel
Dieuwke Hupkes
Verna Dankers
Elia Bruni
232
31
0
04 Jun 2019
Entropy Minimization In Emergent Languages
Entropy Minimization In Emergent Languages
Eugene Kharitonov
Rahma Chaabouni
Diane Bouchacourt
Marco Baroni
218
3
0
31 May 2019
L0 Regularization Based Neural Network Design and Compression
L0 Regularization Based Neural Network Design and Compression
S. A. Ahmed
17
0
0
31 May 2019
Toward Runtime-Throttleable Neural Networks
Toward Runtime-Throttleable Neural Networks
Jesse Hostetler
98
2
0
30 May 2019
Quantization Loss Re-Learning Method
Quantization Loss Re-Learning Method
Kunping Li
MQ
82
2
0
30 May 2019
Adversarial Sub-sequence for Text Generation
Adversarial Sub-sequence for Text Generation
Xingyuan Chen
Yanzhe Li
Peng Jin
Jiuhua Zhang
Xinyu Dai
Jiajun Chen
Gang Song
GAN
128
5
0
30 May 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning
On the Generalization Gap in Reparameterizable Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Huan Wang
Stephan Zheng
Caiming Xiong
R. Socher
213
42
0
29 May 2019
Anti-efficient encoding in emergent communication
Anti-efficient encoding in emergent communicationNeural Information Processing Systems (NeurIPS), 2019
Rahma Chaabouni
Eugene Kharitonov
Emmanuel Dupoux
Marco Baroni
339
111
0
29 May 2019
Switching Linear Dynamics for Variational Bayes Filtering
Switching Linear Dynamics for Variational Bayes FilteringInternational Conference on Machine Learning (ICML), 2019
Philip Becker-Ehmck
Jan Peters
Patrick van der Smagt
BDL
171
47
0
29 May 2019
Lifelong Bayesian Optimization
Lifelong Bayesian Optimization
Yao Zhang
James Jordon
Ahmed Alaa
M. Schaar
239
11
0
29 May 2019
EEG-based Emotional Video Classification via Learning Connectivity
  Structure
EEG-based Emotional Video Classification via Learning Connectivity Structure
Soobeom Jang
Seong-Eun Moon
Jong-Seok Lee
242
19
0
28 May 2019
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Ting-Hao 'Kenneth' Huang
Gehui Shen
Zhihong Deng
VLMAI4TS
147
24
0
28 May 2019
Mixed Precision DNNs: All you need is a good parametrization
Mixed Precision DNNs: All you need is a good parametrization
Stefan Uhlich
Lukas Mauch
Fabien Cardinaux
K. Yoshiyama
Javier Alonso García
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
MQ
313
39
0
27 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
281
123
0
24 May 2019
Adversarial Learned Molecular Graph Inference and Generation
Adversarial Learned Molecular Graph Inference and Generation
Sebastian Polsterl
Christian Wachinger
GAN
195
7
0
24 May 2019
Generative Adversarial Networks for Mitigating Biases in Machine
  Learning Systems
Generative Adversarial Networks for Mitigating Biases in Machine Learning SystemsEuropean Conference on Artificial Intelligence (ECAI), 2019
Adel Abusitta
Esma Aïmeur
Omar Abdel Wahab
AI4CEGAN
136
26
0
23 May 2019
Training language GANs from Scratch
Training language GANs from ScratchNeural Information Processing Systems (NeurIPS), 2019
Cyprien de Masson dÁutume
Mihaela Rosca
Jack W. Rae
S. Mohamed
GANSyDa
207
90
0
23 May 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture SearchNeural Information Processing Systems (NeurIPS), 2019
Xuanyi Dong
Yi Yang
3DPC
336
263
0
23 May 2019
Learning Discrete and Continuous Factors of Data via Alternating
  Disentanglement
Learning Discrete and Continuous Factors of Data via Alternating DisentanglementInternational Conference on Machine Learning (ICML), 2019
Yeonwoo Jeong
Hyun Oh Song
112
50
0
23 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be PrunedAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
742
1,345
0
23 May 2019
Factorised Neural Relational Inference for Multi-Interaction Systems
Factorised Neural Relational Inference for Multi-Interaction Systems
Ezra Webb
Ben Day
Helena Andrés-Terré
Pietro Lio
AI4CEGNN
170
33
0
21 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding
  using Variational Autoencoders
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational AutoencodersIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2019
Avi Caciularu
D. Burshtein
185
59
0
21 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables
Interpretable Neural Predictions with Differentiable Binary VariablesAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Jasmijn Bastings
Wilker Aziz
Ivan Titov
283
223
0
20 May 2019
AutoDispNet: Improving Disparity Estimation With AutoML
AutoDispNet: Improving Disparity Estimation With AutoMLIEEE International Conference on Computer Vision (ICCV), 2019
Tonmoy Saikia
Yassine Marrakchi
Arber Zela
Katharina Eggensperger
Thomas Brox
249
84
0
17 May 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal
  Models
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal ModelsInternational Conference on Machine Learning (ICML), 2019
Michael Oberst
David Sontag
CMLOffRL
353
184
0
14 May 2019
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