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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
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns Laurynas Karazija Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi OCL 164 21 0 21 Oct 2022
Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data Kazuto Nakashima Y. Iwashita Ryo Kurazume GAN 3DPC 69 17 0 21 Oct 2022
DisC-VC: Disentangled and F0-Controllable Neural Voice Conversion Chihiro Watanabe Hirokazu Kameoka DRL 116 0 0 20 Oct 2022
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph Kaike Zhang Qi Cao Gaolin Fang Bingbing Xu Hongjian Zou Huawei Shen Xueqi Cheng 48 22 0 19 Oct 2022
EGG-GAE: scalable graph neural networks for tabular data imputation Lev Telyatnikov Simone Scardapane GNN 67 14 0 19 Oct 2022
The Devil in Linear Transformer Zhen Qin Xiaodong Han Weixuan Sun Dongxu Li Lingpeng Kong Nick Barnes Yiran Zhong 87 74 0 19 Oct 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 81 6 0 19 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 96 39 0 18 Oct 2022
Unsupervised Inference of Data-Driven Discourse Structures using a Tree Auto-Encoder Patrick Huber Giuseppe Carenini 55 0 0 18 Oct 2022
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation Chen Wang Yuchen Liu Boxing Chen Jiajun Zhang Wei Luo Zhongqiang Huang Chengqing Zong 64 10 0 18 Oct 2022
Token Merging: Your ViT But Faster Daniel Bolya Cheng-Yang Fu Xiaoliang Dai Peizhao Zhang Christoph Feichtenhofer Judy Hoffman MoMe 150 475 0 17 Oct 2022
Towards Generating Adversarial Examples on Mixed-type Data Han Xu Menghai Pan Zhimeng Jiang Huiyuan Chen Xiaoting Li Mahashweta Das Hao Yang AAML SILM 129 0 0 17 Oct 2022
Probabilistic Categorical Adversarial Attack & Adversarial Training Han Xu Penghei He Jie Ren Yuxuan Wan Zitao Liu Hui Liu Jiliang Tang AAML SILM 71 0 0 17 Oct 2022
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya Moritz Schauer Frank Schafer Chris Rackauckas 82 37 0 16 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 83 1 0 16 Oct 2022
Deep Differentiable Logic Gate Networks Felix Petersen Christian Borgelt Hilde Kuehne Oliver Deussen AI4CE 65 30 0 15 Oct 2022
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution Hengsheng Zhang X. Zou Jiaming Guo Youliang Yan Rong Xie Li Song 81 4 0 15 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim Alex Schwing Minh Do Raymond A. Yeh 82 11 0 14 Oct 2022
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition Shuguang Chen Leonardo Neves Thamar Solorio 112 4 0 14 Oct 2022
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation Abhishek Abhishek E. Drechsler W. Fedorko Bernd Stelzer 51 9 0 14 Oct 2022
Task Grouping for Multilingual Text Recognition Jing Huang Kevin J. Liang Rama Kovvuri Tal Hassner 88 5 0 13 Oct 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning Han Yu Huiyuan Yang Akane Sano AI4TS 69 5 0 13 Oct 2022
Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin Antonio Longa Pietro Barbiero Pietro Lio Andrea Passerini 82 57 0 13 Oct 2022
Self-explaining deep models with logic rule reasoning Seungeon Lee Xiting Wang Sungwon Han Xiaoyuan Yi Xing Xie M. Cha NAI ReLM LRM 96 17 0 13 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering Jianpeng Chen Yawen Ling Jie Xu Yazhou Ren Shudong Huang X. Pu Zhifeng Hao Philip S. Yu Lifang He 76 8 0 13 Oct 2022
Multilingual Zero Resource Speech Recognition Base on Self-Supervise Pre-Trained Acoustic Models Haoyu Wang Weiqiang Zhang Hongbin Suo Yulong Wan 63 0 0 13 Oct 2022
Closed-book Question Generation via Contrastive Learning Xiangjue Dong Jiaying Lu Jianling Wang James Caverlee 87 8 0 13 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 85 21 0 12 Oct 2022
Latency-aware Spatial-wise Dynamic Networks Yizeng Han Zhihang Yuan Yifan Pu Chenhao Xue S. Song Guangyu Sun Gao Huang 92 25 0 12 Oct 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity Andrew C. Cullen Paul Montague Shijie Liu S. Erfani Benjamin I. P. Rubinstein AAML 79 15 0 12 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review M. Brendel Chang Su Zilong Bai Hao Zhang O. Elemento Fei Wang 90 43 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 77 16 0 11 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 128 14 0 11 Oct 2022
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering Hao Cheng Hao Fang Xiaodong Liu Jianfeng Gao RALM 81 6 0 11 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 108 115 0 09 Oct 2022
Learning the Network of Graphs for Graph Neural Networks Yixiang Shan Jielong Yang Xing Liu Yixing Gao Hechang Chen Shiping Ge 59 0 0 08 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 72 51 0 07 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 85 5 0 07 Oct 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu Guanghui Zhu Changhua Meng Shiwen Cui ZhenZhe Ying Weiqiang Wang GU Ming Yihua Huang AAML 101 14 0 07 Oct 2022
Event Extraction: A Survey Viet Dac Lai 101 9 0 07 Oct 2022
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning Samuel Maddock Alexandre Sablayrolles Pierre Stock FedML 144 23 0 06 Oct 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 140 27 0 04 Oct 2022
Robust Target Training for Multi-Source Domain Adaptation Zhongying Deng Da Li Yi-Zhe Song Tao Xiang OOD 74 3 0 04 Oct 2022
Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings Tenglong Ao Qingzhe Gao Yuke Lou Baoquan Chen Libin Liu SLR 94 64 0 04 Oct 2022
Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning Xu Yang Hanwang Zhang Chongyang Gao Jianfei Cai MLLM 91 10 0 04 Oct 2022
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation Xinhang Liu Jiaben Chen Huai Yu Yu-Wing Tai Chi-Keung Tang 154 28 0 02 Oct 2022
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language Zhenlin Xu Marc Niethammer Colin Raffel CoGe OOD OCL DRL 111 44 0 02 Oct 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey Hui Wei Hao Tang Xuemei Jia Zhixiang Wang Han-Bing Yu Zhubo Li Shiníchi Satoh Luc Van Gool Zheng Wang AAML 152 57 0 30 Sep 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 124 0 0 29 Sep 2022
$Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks$ Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks Yingjie Li Ruiyang Chen Weilu Gao Cunxi Yu 82 12 0 28 Sep 2022