v1v2v3v4v5 (latest)

Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 3,025 papers shown

Title
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 167 1,154 0 23 May 2019
Generative Imputation and Stochastic Prediction Mohammad Kachuee Kimmo Karkkainen Orpaz Goldstein Sajad Darabi Majid Sarrafzadeh 82 24 0 22 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders Avi Caciularu D. Burshtein 71 50 0 21 May 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 89 215 0 20 May 2019
Seeker: Real-Time Interactive Search Ari Biswas T. T. Pham Michael Vogelsong Benjamin Snyder Houssam Nassif 35 13 0 17 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 71 83 0 14 May 2019
Dynamic Routing Networks Shaofeng Cai Yao Shu Wei Wang Beng Chin Ooi 50 3 0 13 May 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 40 9 0 09 May 2019
Differentiable Architecture Search with Ensemble Gumbel-Softmax Jianlong Chang Xinbang Zhang Yiwen Guo Gaofeng Meng Shiming Xiang Chunhong Pan 3DPC 51 18 0 06 May 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables Mingzhang Yin Yuguang Yue Mingyuan Zhou 66 23 0 04 May 2019
Learning Programmatically Structured Representations with Perceptor Gradients Svetlin Penkov S. Ramamoorthy 60 10 0 02 May 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors Trung Trinh Tho Quan Trung Mai BDL 76 2 0 01 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 77 84 0 29 Apr 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications Chenglong Wang Rudy Bunel Krishnamurthy Dvijotham Po-Sen Huang Edward Grefenstette Pushmeet Kohli 58 5 0 26 Apr 2019
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition Maosen Li Siheng Chen Xu Chen Ya Zhang Yanfeng Wang Qi Tian 99 914 0 26 Apr 2019
TreeGrad: Transferring Tree Ensembles to Neural Networks Chapman Siu AI4CE 46 6 0 25 Apr 2019
GAN Augmented Text Anomaly Detection with Sequences of Deep Statistics Mariem Ben Fadhel K. Nyarko AI4TS 18 3 0 24 Apr 2019
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks Jaedeok Kim Chi-youn Park Hyungsik Jung Yoonsuck Choe 64 18 0 24 Apr 2019
Path-Restore: Learning Network Path Selection for Image Restoration K. Yu Xintao Wang Chao Dong Xiaoou Tang Chen Change Loy 86 84 0 23 Apr 2019
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks Y. Zur Chaim Baskin Evgenii Zheltonozhskii Brian Chmiel Itay Evron A. Bronstein A. Mendelson MQ 85 7 0 22 Apr 2019
Obfuscation for Privacy-preserving Syntactic Parsing Zhifeng Hu Serhii Havrylov Ivan Titov Shay B. Cohen 59 7 0 21 Apr 2019
Point-less: More Abstractive Summarization with Pointer-Generator Networks Freek Boutkan Jorn Ranzijn David Rau E. V. D. Wel 49 6 0 18 Apr 2019
Self-Supervised Audio-Visual Co-Segmentation Andrew Rouditchenko Hang Zhao Chuang Gan Josh H. McDermott Antonio Torralba VLM SSL 73 105 0 18 Apr 2019
Learning to Collocate Neural Modules for Image Captioning Xu Yang Hanwang Zhang Jianfei Cai 66 78 0 18 Apr 2019
Question Guided Modular Routing Networks for Visual Question Answering Yanze Wu Qiang Sun Jianqi Ma Bin Li Yanwei Fu Yao Peng Xiangyang Xue 69 1 0 17 Apr 2019
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks Ryan Eloff A. Nortje Benjamin van Niekerk Avashna Govender Leanne Nortje Arnu Pretorius Elan Van Biljon Ewald van der Westhuizen Lisa van Staden Herman Kamper DRL 79 57 0 16 Apr 2019
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search Kartik Goyal Chris Dyer Taylor Berg-Kirkpatrick 63 16 0 15 Apr 2019
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning Jiaqi Guan Ye Yuan Kris Kitani Nicholas Rhinehart AI4TS 74 31 0 12 Apr 2019
$L_0$ -ARM: Network Sparsification via Stochastic Binary Optimization Yang Li Shihao Ji MQ 49 15 0 09 Apr 2019
Unsupervised Dialog Structure Learning Weiyan Shi Tiancheng Zhao Zhou Yu DRL 78 44 0 07 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 95 382 0 06 Apr 2019
Attention Distillation for Learning Video Representations Miao Liu Xin Chen Yun C. Zhang Yin Li James M. Rehg 64 2 0 05 Apr 2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop Afra Alishahi Grzegorz Chrupała Tal Linzen NAI MILM 87 65 0 05 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 76 118 0 04 Apr 2019
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling P. Wang William Yang Wang DRL 97 27 0 04 Apr 2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation Weijia Xu Xing Niu Marine Carpuat 75 10 0 04 Apr 2019
Generative Adversarial Networks for text using word2vec intermediaries Akshay Budhkar Krishnapriya Vishnubhotla Safwan Hossain Frank Rudzicz GAN 34 9 0 04 Apr 2019
Deep Industrial Espionage Samuel Albanie James Thewlis Sébastien Ehrhardt Joao Henriques 26 2 0 01 Apr 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 117 414 0 28 Mar 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder Masataro Asai Hiroshi Kajino 96 15 0 27 Mar 2019
Information Maximizing Visual Question Generation Ranjay Krishna Michael S. Bernstein Li Fei-Fei 131 95 0 27 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 49 14 0 25 Mar 2019
End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations Keisuke Hagiwara Yusuke Mukuta Tatsuya Harada 32 0 0 25 Mar 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover Eric Wang Aaron Zweig Stefano Ermon 101 174 0 21 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 98 46 0 18 Mar 2019
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations Jichuan Zeng Jing Li Yulan He Cuiyun Gao Michael R. Lyu Irwin King BDL 45 27 0 18 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lio BDL OCL 116 5 0 14 Mar 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement W. Kool H. V. Hoof Max Welling 142 220 0 14 Mar 2019
Consistent Dialogue Generation with Self-supervised Feature Learning Yizhe Zhang Xiang Gao Sungjin Lee Chris Brockett Michel Galley Jianfeng Gao W. Dolan 120 28 0 13 Mar 2019
Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy Yunhao Tang Mingzhang Yin Mingyuan Zhou 21 0 0 13 Mar 2019