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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
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting Ngoc-Dung Do Truong-Son Hy D. Nguyen AI4TS 42 0 0 29 Jun 2023
Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing Jie Song Bin Chen Jian Zhang 78 52 0 28 Jun 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang Xilun Zhang Ziang Cao Shiqi Liu Mengdi Xu Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 119 25 0 28 Jun 2023
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos Chiori Hori Puyuan Peng David Harwath Xinyu Liu Keita Ota Siddarth Jain Radu Corcodel Devesh K. Jha Diego Romeres Jonathan Le Roux 55 4 0 27 Jun 2023
You Can Mask More For Extremely Low-Bitrate Image Compression Anqi Li Feng Li Jiaxin Han H. Bai Runmin Cong Chunjie Zhang Ming Wang Weisi Lin Yao-Min Zhao 60 2 0 27 Jun 2023
Variational latent discrete representation for time series modelling Max H. Cohen M. Charbit Sylvain Le Corff 125 1 0 27 Jun 2023
Self-Supervised Image Captioning with CLIP Chuanyang Jin VLM SSL 88 2 0 26 Jun 2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference Junyan Li Li Zhang Jiahang Xu Yujing Wang Shaoguang Yan ... Ting Cao Hao Sun Weiwei Deng Qi Zhang Mao Yang 69 10 0 26 Jun 2023
Adaptive Window Pruning for Efficient Local Motion Deblurring Haoying Li Jixin Zhao Shangchen Zhou H. Feng Chongyi Li Chen Change Loy ViT 82 5 0 25 Jun 2023
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input Qingpei Guo Kaisheng Yao Wei Chu MLLM 45 5 0 25 Jun 2023
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences Yuequn Liu Ruichu Cai Wei Chen Jie Qiao Yuguang Yan Zijian Li Keli Zhang Zijian Li CML 57 4 0 25 Jun 2023
G-TRACER: Expected Sharpness Optimization John R. Williams Stephen J. Roberts 59 0 0 24 Jun 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders Luca Anzalone S. S. Chhibra B. Maier N. Chernyavskaya M. Pierini AI4CE 68 4 0 22 Jun 2023
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons Sidi Yaya Arnaud Yarga Sean U. N. Wood 81 9 0 22 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
Beyond Learned Metadata-based Raw Image Reconstruction Yufei Wang Yi Yu Wenhan Yang Lanqing Guo Lap-Pui Chau Alex C. Kot Bihan Wen 107 4 0 21 Jun 2023
How can objects help action recognition? Xingyi Zhou Anurag Arnab Chen Sun Cordelia Schmid 108 18 0 20 Jun 2023
Plausibility-Based Heuristics for Latent Space Classical Planning Yuta Takata A. Fukunaga LRM 156 0 0 20 Jun 2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Mohamed K. Abdel-Aziz Mohammed S. Elbamby S. Samarakoon M. Bennis 69 5 0 20 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 72 14 0 20 Jun 2023
Sparse Modular Activation for Efficient Sequence Modeling Liliang Ren Yang Liu Shuohang Wang Yichong Xu Chenguang Zhu Chengxiang Zhai 95 14 0 19 Jun 2023
Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis Jun-Min Lee Tae-Bin Ha GAN 51 0 0 19 Jun 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics Kenta Oono Nontawat Charoenphakdee K. Bito Zhengyan Gao Yoshiaki Ota ... Kohei Hayashi Yuki Saito Koki Tsuda Hiroshi Maruyama K. Hayashi 165 1 0 19 Jun 2023
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces Omer Nahum Gali Noti David C. Parkes Nir Rosenfeld 82 3 0 18 Jun 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth Qingshuang Sun Denis Steckelmacher Yuan Yao Ann Nowé Raphael Avalos AI4CE 77 0 0 16 Jun 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 71 0 0 15 Jun 2023
Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance Dongyi Zhang Feng Li Man Liu Runmin Cong H. Bai Ming Wang Yao-Min Zhao 67 8 0 15 Jun 2023
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising Xianqiang Lyu Junhui Hou 109 3 0 15 Jun 2023
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Yingheng Wang Yair Schiff Aaron Gokaslan Weishen Pan Fei Wang Chris De Sa Volodymyr Kuleshov DiffM 112 41 0 14 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 106 16 0 14 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 73 232 0 14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 63 1 0 14 Jun 2023
Automated 3D Pre-Training for Molecular Property Prediction Xu Wang Huan Zhao Weiwei Tu Quanming Yao AI4CE 93 37 0 13 Jun 2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs Haozhen Zhang Xueting Han Xi Xiao Jing Bai 103 9 0 13 Jun 2023
Revisiting Token Pruning for Object Detection and Instance Segmentation Yifei Liu Mathias Gehrig Nico Messikommer Marco Cannici Davide Scaramuzza ViT VLM 112 27 0 12 Jun 2023
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation Wei Liu Michael Strube 59 16 0 10 Jun 2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers S. Yoo Eunji Kim Dahuin Jung Jungbeom Lee Sung-Hoon Yoon VLM 128 44 0 08 Jun 2023
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification Inigo Jauregi Unanue Gholamreza Haffari Massimo Piccardi VLM 59 11 0 08 Jun 2023
Soft Merging of Experts with Adaptive Routing Mohammed Muqeeth Haokun Liu Colin Raffel MoMe MoE 109 54 0 06 Jun 2023
Referring Expression Comprehension Using Language Adaptive Inference Wei Su Peihan Miao Huanzhang Dou Yongjian Fu Xi Li ObjD 65 20 0 06 Jun 2023
Origin-Destination Network Generation via Gravity-Guided GAN Can Rong Huandong Wang Yong Li 71 6 0 06 Jun 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 62 16 0 05 Jun 2023
Learning to Substitute Spans towards Improving Compositional Generalization Zhaoyi Li Ying Wei Defu Lian 94 10 0 05 Jun 2023
Controllable Lyrics-to-Melody Generation Zhe Zhang Yi Yu Atsuhiro Takasu 76 6 0 05 Jun 2023
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming Xinlei Niu Christian J. Walder J. Zhang Charles Patrick Martin BDL 29 0 0 05 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 98 21 0 03 Jun 2023
A Survey on Explainability of Graph Neural Networks Jaykumar Kakkad Jaspal Jannu Kartik Sharma Charu C. Aggarwal Sourav Medya 68 28 0 02 Jun 2023
LIC-GAN: Language Information Conditioned Graph Generative GAN Model Robert Lo Arnhav Datar Abishek Sridhar GAN 80 2 0 02 Jun 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen Qi Zhang 81 4 0 02 Jun 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma T. Hoang Jie Chen FedML 38 4 0 02 Jun 2023