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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 3,025 papers shown

Title
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 87 8 0 12 Mar 2021
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator Sian-Yao Huang W. Chu 73 26 0 12 Mar 2021
Medical data wrangling with sequential variational autoencoders Daniel Barrejón Pablo M. Olmos Antonio Artés-Rodríguez DRL 69 11 0 12 Mar 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 83 38 0 11 Mar 2021
Variable-rate discrete representation learning Sander Dieleman C. Nash Jesse Engel Karen Simonyan BDL DRL 82 24 0 10 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 65 22 0 10 Mar 2021
Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture Jisheng Li Qi Dai Jiangtao Wen 21 0 0 10 Mar 2021
Wav2vec-C: A Self-supervised Model for Speech Representation Learning Samik Sadhu Di He Che-Wei Huang Sri Harish Reddy Mallidi Minhua Wu Ariya Rastrow A. Stolcke J. Droppo Roland Maas SSL 70 49 0 09 Mar 2021
Model-free Policy Learning with Reward Gradients Qingfeng Lan Samuele Tosatto Homayoon Farrahi Rupam Mahmood 51 6 0 09 Mar 2021
Constrained Learning with Non-Convex Losses Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 107 38 0 08 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 209 511 0 08 Mar 2021
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness Sahra Ghalebikesabi R. Cornish Luke J. Kelly Chris Holmes 54 5 0 05 Mar 2021
IOT: Instance-wise Layer Reordering for Transformer Structures Jinhua Zhu Lijun Wu Yingce Xia Shufang Xie Tao Qin Wen-gang Zhou Houqiang Li Tie-Yan Liu 87 7 0 05 Mar 2021
Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks Teppei Suzuki SupR SSeg 63 2 0 05 Mar 2021
A Structural Causal Model for MR Images of Multiple Sclerosis Jacob C. Reinhold A. Carass Jerry L. Prince CML MedIm 76 29 0 04 Mar 2021
A Survey on Graph Structure Learning: Progress and Opportunities Yanqiao Zhu Weizhi Xu Jinghao Zhang Yuanqi Du Jieyu Zhang Qiang Liu Carl Yang Shu Wu GNN AI4CE 109 104 0 04 Mar 2021
Learning Asynchronous and Sparse Human-Object Interaction in Videos Romero Morais Vuong Le Svetha Venkatesh T. Tran 56 30 0 03 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 157 305 0 03 Mar 2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG Arshdeep Sekhon Zhe Wang Yanjun Qi GNN 46 0 0 03 Mar 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen S. Davidson AI4TS 90 52 0 03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 135 86 0 02 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 171 72 0 02 Mar 2021
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration Hao Xu Shuaicheng Liu Guangfu Wang Guanghui Liu B. Zeng 3DPC 88 150 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 111 87 0 01 Mar 2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity Edgar Beck C. Bockelmann Armin Dekorsy 94 12 0 25 Feb 2021
GEM: Glare or Gloom, I Can Still See You -- End-to-End Multimodal Object Detection Osama Mazhar Robert Babuška Jens Kober 47 7 0 24 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 444 5,020 0 24 Feb 2021
Learning to Drop Points for LiDAR Scan Synthesis Kazuto Nakashima Ryo Kurazume 3DPC 79 26 0 23 Feb 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search Niv Nayman Y. Aflalo Asaf Noy Lihi Zelnik-Manor 92 33 0 23 Feb 2021
Differentiable Logic Machines Matthieu Zimmer Xuening Feng Claire Glanois Zhaohui Jiang Jianyi Zhang Paul Weng Li Dong Hao Jianye Liu Wulong AI4CE 101 23 0 23 Feb 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation Julia Ive A. Li Yishu Miao Ozan Caglayan Pranava Madhyastha Lucia Specia 75 12 0 22 Feb 2021
Direct-Search for a Class of Stochastic Min-Max Problems Sotiris Anagnostidis Aurelien Lucchi Youssef Diouane 130 11 0 22 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 118 25 0 22 Feb 2021
Weighted Graph Nodes Clustering via Gumbel Softmax D. Acharya Huaming Zhang 33 3 0 22 Feb 2021
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification Puneet Mathur Trisha Mittal Tianyi Zhou 67 12 0 21 Feb 2021
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks Vijay Lingam Arun Shankar Iyer Rahul Ragesh 28 2 0 20 Feb 2021
Risk factor identification for incident heart failure using neural network distillation and variable selection Yikuan Li Shishir Rao M. Mamouei G. Salimi-Khorshidi D. Canoy A. Hassaine Thomas Lukasiewicz Kazem Rahimi 23 0 0 17 Feb 2021
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding Milind Rao Pranav Dheram Gautam Tiwari A. Raju J. Droppo Ariya Rastrow A. Stolcke 50 17 0 12 Feb 2021
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax Thomas Strypsteen Alexander Bertrand 89 52 0 11 Feb 2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition Yue Meng Yikang Shen Chung-Ching Lin P. Sattigeri Leonid Karlinsky Kate Saenko A. Oliva Rogerio Feris 167 63 0 10 Feb 2021
Inductive Granger Causal Modeling for Multivariate Time Series Yunfei Chu Xiaowei Wang Jianxin Ma Kunyang Jia Jingren Zhou Hongxia Yang CML AI4TS 63 11 0 10 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 396 0 09 Feb 2021
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 169 659 0 09 Feb 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application Chuhan Wu Fangzhao Wu Yang Yu Tao Qi Yongfeng Huang Qi Liu VLM 67 45 0 09 Feb 2021
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction Mona Zehni Zhizhen Zhao GAN 15 4 0 09 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition Jia Li Mengzhou Liu Honglei Zhang Pengyun Wang Yong Wen Lujia Pan Hong Cheng 77 9 0 08 Feb 2021
Neural Data-to-Text Generation with LM-based Text Augmentation Ernie Chang Xiaoyu Shen D. Zhu Vera Demberg Hui Su 88 46 0 06 Feb 2021
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net Hyeong-Seok Choi Sungjin Park Jie Hwan Lee Hoon Heo Dongsuk Jeon Kyogu Lee 101 57 0 05 Feb 2021
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER Lin Sun Jiquan Wang Kai Zhang Yindu Su Fangsheng Weng 82 141 0 05 Feb 2021
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention Melika Behjati James Henderson OCL 76 1 0 01 Feb 2021