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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
CUTS+: High-dimensional Causal Discovery from Irregular Time-series Yuxiao Cheng Lianglong Li Tingxiong Xiao Zongren Li Qionghai Dai J. Suo K. He CML BDL AI4TS 99 27 0 10 May 2023
Fine-tuning Language Models with Generative Adversarial Reward Modelling Z. Yu Lau Jia Jaw Zhang Hui Bryan Kian Hsiang Low ALM 130 4 0 09 May 2023
Information Design in Multi-Agent Reinforcement Learning Yue Lin Wenhao Li H. Zha Baoxiang Wang 72 11 0 08 May 2023
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Novel Proteins Markus J. Buehler 92 21 0 07 May 2023
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization Zhoujian Sun Chenyang Zhao Zheng-Wei Huang Nai Ding OffRL 54 1 0 06 May 2023
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt 157 12 0 05 May 2023
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence Haoran Li Mingshi Xu Yangqiu Song 154 52 0 04 May 2023
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning Matthias Lalisse Kai Han Xingchen Wan P. Smolensky 102 5 0 03 May 2023
CLUSTSEG: Clustering for Universal Segmentation James Liang Tianfei Zhou Dongfang Liu Wenguan Wang VLM 130 50 0 03 May 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing Yi Shi Kang Wei Li Shen Jun Li Xueqian Wang Bo Yuan Song Guo 95 6 0 02 May 2023
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation Yizhe Ma Fangjian Lin Sitong Wu Sheng Tian Long Yu 92 12 0 01 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport Andrés Hoyos-Idrobo OffRL 87 0 0 29 Apr 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee Dongmin Hyun Gyoung S. Na Sungwon Kim Junseok Lee Chanyoung Park 111 27 0 29 Apr 2023
Towards Automated Circuit Discovery for Mechanistic Interpretability Arthur Conmy Augustine N. Mavor-Parker Aengus Lynch Stefan Heimersheim Adrià Garriga-Alonso 70 319 0 28 Apr 2023
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields Junge Zhang Feihu Zhang Shaochen Kuang Li Zhang 3DPC 153 41 0 28 Apr 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 142 38 0 28 Apr 2023
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers Johannes Zenn Robert Bamler 268 3 0 27 Apr 2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning Yuntao Du Jianxun Lian Jing Yao Xiting Wang Mingqi Wu Lu Chen Yunjun Gao Xing Xie FedML 50 6 0 27 Apr 2023
Unsupervised Learning of Robust Spectral Shape Matching Dongliang Cao Paul Roetzer Florian Bernard 3DPC 108 42 0 27 Apr 2023
Effect of latent space distribution on the segmentation of images with multiple annotations Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf 44 6 0 26 Apr 2023
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence Y. Fu Yuecheng Li Chenghui Li Jason M. Saragih Peizhao Zhang Xiaoliang Dai Yingyan Lin 3DH 107 2 0 24 Apr 2023
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers Siyuan Wei Tianzhu Ye Shen Zhang Yao Tang Jiajun Liang ViT 78 72 0 21 Apr 2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition Mingjun Zhao Yu Xiaoli Wang Lei Yang Di Niu 61 6 0 20 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 58 1 0 20 Apr 2023
EC^2: Emergent Communication for Embodied Control Yao Mu Shunyu Yao Mingyu Ding Ping Luo Chuang Gan LM&Ro 79 20 0 19 Apr 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu Chengyu Dong Xiaodong Liu Bin Yu Jianfeng Gao BDL 92 23 0 17 Apr 2023
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning Marina Neseem Ahmed A. Agiza Sherief Reda 70 7 0 17 Apr 2023
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach Rishi Hazra Luc de Raedt NAI 73 9 0 17 Apr 2023
VCD: Visual Causality Discovery for Cross-Modal Question Reasoning Yang Liu Guanbin Li Jingzhou Luo Liang Lin BDL LRM 105 5 0 17 Apr 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning Zijian Zhang Xiangyu Zhao Hao Miao Chunxu Zhang Hongwei Zhao Junbo Zhang AI4TS 74 21 0 16 Apr 2023
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation Ruizhi Wang Xiang-Fei Wang Zhenghua Xu Wenting Xu Junyang Chen Thomas Lukasiewicz 52 6 0 15 Apr 2023
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games Benjamin Towle Ke Zhou SyDa 56 4 0 14 Apr 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z. Su Jiehua Zhang Tianpeng Liu Zhen Liu Shuanghui Zhang M. Pietikäinen Li Liu 65 2 0 13 Apr 2023
GraphGANFed: A Federated Generative Framework for Graph-Structured Molecules Towards Efficient Drug Discovery Daniel Manu Jingjing Yao Wuji Liu Xiang Sun FedML 80 8 0 11 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 56 4 0 11 Apr 2023
r-softmax: Generalized Softmax with Controllable Sparsity Rate Klaudia Bałazy Lukasz Struski Marek Śmieja Jacek Tabor 29 2 0 11 Apr 2023
Wav2code: Restore Clean Speech Representations via Codebook Lookup for Noise-Robust ASR Yuchen Hu Cheng Chen Qiu-shi Zhu Eng Siong Chng 130 16 0 11 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 71 14 0 10 Apr 2023
In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning Lequn Chen X. Yao Chao-lin Tan Weiyang He Jinlong Su Fei Weng Y. Chew Nicholas Poh Huat Ng Seung Ki Moon 38 56 0 10 Apr 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 59 0 0 07 Apr 2023
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management Xueying Ding Nikita Seleznev Senthil Kumar C. Bayan Bruss Leman Akoglu 102 5 0 06 Apr 2023
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects Siow Meng Low Akshat Kumar Scott Sanner 46 2 0 06 Apr 2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation Zhijie Deng Yucen Luo 77 6 0 06 Apr 2023
$Physics-aware Roughness Optimization for Diffractive Optical Neural Networks$ Physics-aware Roughness Optimization for Diffractive Optical Neural Networks Shangli Zhou Yingjie Li Minhan Lou Weilu Gao Zhijie Shi Cunxi Yu Caiwen Ding 104 3 0 04 Apr 2023
Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection Qinyue Zheng Arun Venkitaraman Simona Petravic P. Frossard FedML 69 1 0 03 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 51 0 0 03 Apr 2023
Progressive Channel-Shrinking Network Jianhong Pan Siyuan Yang Lin Geng Foo Qiuhong Ke Hossein Rahmani Zhipeng Fan Jing Liu 36 1 0 01 Apr 2023
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer Yuang Ai Xiaoqiang Zhou Huaibo Huang Lei Zhang Ran He 123 2 0 31 Mar 2023
Audio-Visual Grouping Network for Sound Localization from Mixtures Shentong Mo Yapeng Tian 86 43 0 29 Mar 2023
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA Pan Xiao Peijie Qiu Sungmin Ha Abdalla Bani Shuang Zhou Aristeidis Sotiras DRL 52 4 0 29 Mar 2023