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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
Toolpath design for additive manufacturing using deep reinforcement learning M. Mozaffar Ablodghani Ebrahimi Jian Cao AI4CE 40 7 0 30 Sep 2020
Texture Memory-Augmented Deep Patch-Based Image Inpainting Rui Xu Minghao Guo Jiaqi Wang Xiaoxiao Li Bolei Zhou Chen Change Loy 3DV 77 41 0 28 Sep 2020
Deep Transformers with Latent Depth Xian Li Asa Cooper Stickland Yuqing Tang X. Kong 73 23 0 28 Sep 2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning Haochen Liu Wentao Wang Yiqi Wang Hui Liu Zitao Liu Jiliang Tang 93 71 0 28 Sep 2020
SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System Hwaran Lee Seokhwan Jo Hyungjun Kim Sangkeun Jung Tae-Yoon Kim OffRL 91 6 0 22 Sep 2020
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems Ziming Li Julia Kiseleva Maarten de Rijke OffRL 59 22 0 21 Sep 2020
Target Conditioning for One-to-Many Generation Marie-Anne Lachaux Armand Joulin Guillaume Lample 56 13 0 21 Sep 2020
Conditional Hybrid GAN for Sequence Generation Yi Yu Abhishek Srivastava R. Shah GAN 35 2 0 18 Sep 2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning Yichi Zhang Zhijian Ou Huixin Wang Junlan Feng RALM 105 67 0 17 Sep 2020
Discond-VAE: Disentangling Continuous Factors from the Discrete Jaewoong Choi Geonho Hwang Myung-joo Kang CoGe CML 56 4 0 17 Sep 2020
Path Planning using Neural A* Search Ryo Yonetani Tatsunori Taniai M. Barekatain Mai Nishimura Asako Kanezaki 3DPC 113 96 0 16 Sep 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation Jason D. Lee Raphael Shu Kyunghyun Cho 61 26 0 15 Sep 2020
DANCE: Differentiable Accelerator/Network Co-Exploration Kanghyun Choi Deokki Hong Hojae Yoon Joonsang Yu Youngsok Kim Jinho Lee 68 45 0 14 Sep 2020
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings Weiwei Wang Wiebke Eberhardt Stefano Bromuri 121 1 0 13 Sep 2020
Tracking disease outbreaks from sparse data with Bayesian inference Bryan Wilder M. Mina Milind Tambe 53 6 0 12 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 81 24 0 11 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 234 630 0 10 Sep 2020
Pay Attention when Required Swetha Mandava Szymon Migacz A. Fit-Florea 96 11 0 09 Sep 2020
Unsupervised Part Discovery by Unsupervised Disentanglement Sandro Braun Patrick Esser Bjorn Ommer OCL 51 4 0 09 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 68 17 0 09 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Sahar Abdelnabi Mario Fritz WaLM 92 152 0 07 Sep 2020
Stabilizing Invertible Neural Networks Using Mixture Models Paul Hagemann Sebastian Neumayer 62 39 0 07 Sep 2020
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions Ziqiao Wang Yongyi Mao Hongyu Guo Richong Zhang SyDa 42 1 0 02 Sep 2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models Thai Le Suhang Wang Dongwon Lee 161 59 0 01 Sep 2020
Modulating Scalable Gaussian Processes for Expressive Statistical Learning Haitao Liu Yew-Soon Ong Xiaomo Jiang Xiaofang Wang 51 4 0 29 Aug 2020
Zero-Resource Knowledge-Grounded Dialogue Generation Linxiao Li Can Xu Wei Wu Yufan Zhao Xueliang Zhao Chongyang Tao 99 72 0 29 Aug 2020
Discrete Word Embedding for Logical Natural Language Understanding Masataro Asai Zilu Tang 53 3 0 26 Aug 2020
Automated Search for Resource-Efficient Branched Multi-Task Networks David Brüggemann Menelaos Kanakis Stamatios Georgoulis Luc Van Gool 86 65 0 24 Aug 2020
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages Aritra Chowdhury Alberto Santamaria-Pang James R. Kubricht Jianwei Qiu Peter Tu MedIm 85 6 0 22 Aug 2020
Emergent symbolic language based deep medical image classification Aritra Chowdhury Alberto Santamaria-Pang James R. Kubricht Peter Tu MedIm 53 11 0 22 Aug 2020
Game Level Clustering and Generation using Gaussian Mixture VAEs Zhihan Yang Anurag Sarkar Seth Cooper 58 12 0 22 Aug 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers Wolfgang Roth Franz Pernkopf BDL 32 2 0 21 Aug 2020
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses Shiliang Zuo AAML 140 2 0 21 Aug 2020
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning Justin Engelmann Stefan Lessmann 86 232 0 20 Aug 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 135 6 0 17 Aug 2020
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation Hongyu Ren Yuke Zhu J. Leskovec Anima Anandkumar Animesh Garg LRM 47 4 0 17 Aug 2020
Cascaded channel pruning using hierarchical self-distillation Roy Miles K. Mikolajczyk 79 7 0 16 Aug 2020
Audio- and Gaze-driven Facial Animation of Codec Avatars Alexander Richard Colin S. Lea Shugao Ma Juergen Gall Fernando de la Torre Yaser Sheikh CVBM 79 81 0 11 Aug 2020
Adversarial Generative Grammars for Human Activity Prediction A. Piergiovanni A. Angelova Alexander Toshev Michael S. Ryoo GAN 92 31 0 11 Aug 2020
Text as Neural Operator: Image Manipulation by Text Instruction Tianhao Zhang Hung-Yu Tseng Lu Jiang Weilong Yang Honglak Lee Irfan Essa DiffM 97 40 0 11 Aug 2020
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach Boris Ivanovic Karen Leung Edward Schmerling Marco Pavone VGen DRL 72 99 0 10 Aug 2020
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models Thanh Nguyen-Duc He Zhao Jianfei Cai Dinh Q. Phung VLM MedIm 71 4 0 06 Aug 2020
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds Valentin Liévin Andrea Dittadi Anders Christensen Ole Winther DRL 61 6 0 05 Aug 2020
Shape Adaptor: A Learnable Resizing Module Shikun Liu Zhe Lin Yilin Wang Jianming Zhang Federico Perazzi Edward Johns 72 9 0 03 Aug 2020
Backpropagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods Karen Leung Nikos Arechiga Marco Pavone 81 94 0 31 Jul 2020
Deep Direct Likelihood Knockoffs Mukund Sudarshan Wesley Tansey Rajesh Ranganath 21 20 0 31 Jul 2020
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition Yue Meng Chung-Ching Lin Yikang Shen P. Sattigeri Leonid Karlinsky A. Oliva Kate Saenko Rogerio Feris 102 146 0 31 Jul 2020
Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan Pedro H. P. Savarese Michael Maire 3DPC 61 45 0 30 Jul 2020
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models Farbod Taymouri M. Rosa GAN 70 8 0 30 Jul 2020
Foveation for Segmentation of Ultra-High Resolution Images Chen Jin Ryutaro Tanno Moucheng Xu T. Mertzanidou Daniel C. Alexander AI4TS 53 4 0 29 Jul 2020