v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016

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

31 / 1,581 papers shown

Stochastic Sequential Neural Networks with Structured Inference

156

24 May 2017

Alex Kendall

608

641

22 May 2017

A Regularized Framework for Sparse and Structured Neural Attention

Vlad Niculae

Mathieu Blondel

222

106

22 May 2017

Model-Based Planning with Discrete and Continuous Actions

Mikael Henaff

William F. Whitney

Yann LeCun

164

19 May 2017

Learning to segment with image-level supervision

Gaurav Pandey

Ambedkar Dukkipati

SSeg VLM

03 May 2017

Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning

322

01 May 2017

Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

Masataro Asai

A. Fukunaga

499

178

29 Apr 2017

Differentiable Scheduled Sampling for Credit Assignment

Kartik Goyal

Chris Dyer

Taylor Berg-Kirkpatrick

183

23 Apr 2017

Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models

Matthew D. Hoffman

121

17 Apr 2017

Stochastic Neural Networks for Hierarchical Reinforcement Learning

Carlos Florensa

Yan Duan

Pieter Abbeel

BDL

273

372

10 Apr 2017

Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction

Chunting Zhou

Graham Neubig

DRL BDL

204

06 Apr 2017

Learning Approximately Objective Priors

Eric T. Nalisnick

Padhraic Smyth

172

04 Apr 2017

Online and Linear-Time Attention by Enforcing Monotonic Alignments

266

271

03 Apr 2017

Semi-Supervised Generation with Cluster-aware Generative Models

Lars Maaløe

Marco Fraccaro

Ole Winther

224

03 Apr 2017

Improved Training of Wasserstein GANs

Aaron Courville

755

10,402

31 Mar 2017

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Rakshith Shetty

Bernt Schiele

Mario Fritz

281

402

30 Mar 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty

Marcus Rohrbach

Lisa Anne Hendricks

Mario Fritz

Bernt Schiele

197

30 Mar 2017

REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models

Jascha Narain Sohl-Dickstein

BDL

474

291

21 Mar 2017

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Jimeng Sun

547

654

19 Mar 2017

Emergence of Grounded Compositional Language in Multi-Agent Populations

Igor Mordatch

Pieter Abbeel

LLMAG

421

759

15 Mar 2017

Semi-parametric Network Structure Discovery Models

Amir Dezfouli

Edwin V. Bonilla

Richard Nock

107

27 Feb 2017

Boundary-Seeking Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2017

290

175

27 Feb 2017

Improved Variational Autoencoders for Text Modeling using Dilated ConvolutionsInternational Conference on Machine Learning (ICML), 2017

Zichao Yang

Zhiting Hu

Ruslan Salakhutdinov

Taylor Berg-Kirkpatrick

297

395

27 Feb 2017

Coarse Grained Exponential Variational Autoencoders

Ke Sun

Xiangliang Zhang

DRL BDL

25 Feb 2017

Memory Augmented Neural Networks with Wormhole Connections

Çağlar Gülçehre

A. Chandar

Yoshua Bengio

151

30 Jan 2017

NIPS 2016 Tutorial: Generative Adversarial Networks

Ian Goodfellow

GAN

592

1,794

31 Dec 2016

Piecewise Latent Variables for Neural Variational Text Processing

Aaron Courville

357

01 Dec 2016

Categorical Reparameterization with Gumbel-Softmax

1.1K

5,925

03 Nov 2016

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

326

120

18 Oct 2016

Inverting Variational Autoencoders for Improved Generative Accuracy

204

21 Aug 2016

High Dimensional Inference with Random Maximum A-Posteriori Perturbations

253

10 Feb 2016