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

Title
New Tricks for Estimating Gradients of Expectations Christian J. Walder Paul Roussel Richard Nock Cheng Soon Ong Masashi Sugiyama 194 4 0 31 Jan 2019
Reparameterizable Subset Sampling via Continuous RelaxationsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Sang Michael Xie Stefano Ermon BDL 422 104 0 29 Jan 2019
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction Abubakar Abid M. F. Balin James Zou SyDa 137 261 0 27 Jan 2019
To Relieve Your Headache of Training an MRF, Take AdVIL Chongxuan Li Chao Du Kun Xu Max Welling Jun Zhu Bo Zhang 163 9 0 24 Jan 2019
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies A. Chandar Chinnadhurai Sankar Eugene Vorontsov Samira Ebrahimi Kahou Yoshua Bengio 205 61 0 22 Jan 2019
Error-Correcting Neural Sequence Prediction James OÑeill Danushka Bollegala 120 1 0 21 Jan 2019
Modeling Latent Sentence Structure in Neural Machine Translation Jasmijn Bastings Wilker Aziz Ivan Titov K. Simaán 167 9 0 18 Jan 2019
Improving Sequence-to-Sequence Learning via Optimal Transport Liqun Chen Yizhe Zhang Ruiyi Zhang Chenyang Tao Zhe Gan Haichao Zhang Bai Li Dinghan Shen Changyou Chen Lawrence Carin OT 183 95 0 18 Jan 2019
GO Gradient for Expectation-Based Objectives Yulai Cong Miaoyun Zhao Ke Bai Lawrence Carin 221 16 0 17 Jan 2019
Bayesian Learning of Neural Network Architectures G. Dikov Patrick van der Smagt Justin Bayer BDL 181 31 0 14 Jan 2019
Undirected Graphical Models as Approximate Posteriors Arash Vahdat Evgeny Andriyash W. Macready 206 2 0 11 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 215 113 0 09 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs T. Weber N. Heess Lars Buesing David Silver 161 47 0 07 Jan 2019
Vector representations of text data in deep learning Karol Grzegorczyk 131 12 0 07 Jan 2019
Dynamic Planning Networks Norman L. Tasfi Miriam A. M. Capretz 169 5 0 28 Dec 2018
A Variational Topological Neural Model for Cascade-based Diffusion in Networks Sylvain Lamprier DiffM 80 1 0 28 Dec 2018
Learning to Refine Source Representations for Neural Machine Translation Xinwei Geng Longyue Wang Xing Wang Bing Qin Ting Liu Zhaopeng Tu 134 6 0 26 Dec 2018
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 273 979 0 24 Dec 2018
Meta Architecture Search Albert Eaton Shaw Wei Wei Weiyang Liu Le Song Bo Dai BDL 147 38 0 22 Dec 2018
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning Sirui Xie Junning Huang Lanxin Lei Chunxiao Liu Zheng Ma Wayne Zhang Liang Lin 107 9 0 21 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 250 45 0 17 Dec 2018
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation A. Martino Erik Bodin Carl Henrik Ek Neill D. F. Campbell UQCV BDL 94 2 0 13 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 201 483 0 12 Dec 2018
Structured Neural Topic Models for Reviews Babak Esmaeili Hongyi Huang Byron C. Wallace Jan-Willem van de Meent BDL DRL 173 3 0 12 Dec 2018
KF-LAX: Kronecker-factored curvature estimation for control variate optimization in reinforcement learning Mohammad Firouzi 65 0 0 11 Dec 2018
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 113 3 0 11 Dec 2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 696 1,381 0 09 Dec 2018
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models Marouan Belhaj P. Protopapas Weiwei Pan DRL 96 11 0 07 Dec 2018
Coarse-Graining Auto-Encoders for Molecular Dynamics Wujie Wang Rafael Gómez-Bombarelli AI4CE 178 179 0 06 Dec 2018
Recursive Visual Attention in Visual Dialog Yulei Niu Hanwang Zhang Manli Zhang Jianhong Zhang Zhiwu Lu Ji-Rong Wen 222 123 0 06 Dec 2018
CompILE: Compositional Imitation Learning and Execution Thomas Kipf Yujia Li H. Dai V. Zambaldi Alvaro Sanchez-Gonzalez Edward Grefenstette Pushmeet Kohli Peter W. Battaglia VLM 224 14 0 04 Dec 2018
Learning to Explain with Complemental Examples Atsushi Kanehira Tatsuya Harada 187 43 0 04 Dec 2018
Set Cross Entropy: Likelihood-based Permutation Invariant Loss Function for Probability Distributions Masataro Asai 126 3 0 04 Dec 2018
Deep Inverse Optimization Yingcong Tan Andrew Delong Daria Terekhov 163 24 0 03 Dec 2018
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search Bichen Wu Yanghan Wang Peizhao Zhang Yuandong Tian Peter Vajda Kurt Keutzer MQ 281 295 0 30 Nov 2018
Deep Bayesian Self-Training Fabio De Sousa Ribeiro Francesco Calivá M. Swainson Kjartan Gudmundsson Georgios Leontidis Stefanos D. Kollias UQCV 156 1 0 26 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuningComputer Vision and Pattern Recognition (CVPR), 2018 Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 310 488 0 21 Nov 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 246 40 0 19 Nov 2018
Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization Shiyang Yan Yuan Xie F. Wu Jeremy S. Smith Wenjin Lu Bailing Zhang 106 6 0 13 Nov 2018
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks Gautam Bhattacharya Ashutosh Adhikari Md. Jahangir Alam 217 34 0 07 Nov 2018
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation Xing Niu Weijia Xu Marine Carpuat 212 17 0 02 Nov 2018
Unsupervised Learning of Interpretable Dialog Models Dhiraj Madan Lucian Popa Gaurav Pandey Sachindra Joshi 96 0 0 02 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 156 11 0 01 Nov 2018
Dirichlet Variational Autoencoder for Text Modeling Yijun Xiao Tiancheng Zhao William Yang Wang BDL DRL 107 21 0 31 Oct 2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors P. Gyawali Cameron Knight S. Ghimire B. Horácek J. Sapp Linwei Wang BDL DRL 134 1 0 31 Oct 2018
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator Andros Tjandra S. Sakti Satoshi Nakamura 108 45 0 31 Oct 2018
Neural Nearest Neighbors Networks Tobias Plötz Stefan Roth 234 364 0 30 Oct 2018
Using Large Ensembles of Control Variates for Variational Inference Tomas Geffner Justin Domke BDL 209 37 0 30 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 217 56 0 29 Oct 2018
Reversible Recurrent Neural Networks M. Mackay Paul Vicol Jimmy Ba Roger C. Grosse 132 57 0 25 Oct 2018