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Categorical Reparameterization with Gumbel-Softmax

3 November 2016

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

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Title
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery Jonathan Sauder Martin Genzel P. Jung 76 1 0 07 Feb 2022
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery N. Trask Carianne Martinez Kookjin Lee Brad L. Boyce DRL AI4CE 53 7 0 07 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 117 109 0 07 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 84 26 0 07 Feb 2022
Learning Synthetic Environments and Reward Networks for Reinforcement Learning Fabio Ferreira Thomas Nierhoff Andreas Saelinger Frank Hutter 45 4 0 06 Feb 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving Rohan R. Paleja Yaru Niu Andrew Silva Chace Ritchie Sugju Choi Matthew C. Gombolay 96 17 0 04 Feb 2022
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization Dianbo Liu Alex Lamb Xu Ji Pascal Junior Tikeng Notsawo Michael C. Mozer Yoshua Bengio Kenji Kawaguchi 65 16 0 02 Feb 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 68 45 0 01 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 101 215 0 31 Jan 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu Jue Chen Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei OffRL 82 18 0 29 Jan 2022
Generative Coarse-Graining of Molecular Conformations Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess E. Smidt Yusu Wang Jian Tang Rafael Gómez-Bombarelli 77 36 0 28 Jan 2022
Schlömilch integrals and probability distributions on the simplex D. D. Chow 71 2 0 26 Jan 2022
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems JaKeoung Koo Abderrahim Halimi S. Mclaughlin BDL 3DV 78 18 0 26 Jan 2022
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation J. Rock Wolfgang Roth Máté Tóth Paul Meissner Franz Pernkopf 64 44 0 25 Jan 2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction M. Tygesen Francisco Câmara Pereira Filipe Rodrigues AI4TS 58 2 0 25 Jan 2022
Neural Manifold Clustering and Embedding Zengyi Li Yubei Chen Yann LeCun Friedrich T. Sommer DRL 103 43 0 24 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 110 21 0 24 Jan 2022
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems Anssi Kanervisto Ville Hautamaki Tomi Kinnunen Junichi Yamagishi 71 16 0 24 Jan 2022
Balanced Graph Structure Learning for Multivariate Time Series Forecasting Weijun Chen Yanze Wang Chengshuo Du Zhenglong Jia Feng Liu Ran Chen AI4TS 56 1 0 24 Jan 2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces Keisuke Okumura Ryo Yonetani Mai Nishimura Asako Kanezaki 81 10 0 24 Jan 2022
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 118 64 0 22 Jan 2022
Supervised and Self-supervised Pretraining Based COVID-19 Detection Using Acoustic Breathing/Cough/Speech Signals Xing-Yu Chen Qiu-shi Zhu Jie Zhang Lirong Dai 65 15 0 22 Jan 2022
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition Qiu-shi Zhu Jie Zhang Zi-qiang Zhang Ming Wu Xin Fang Lirong Dai 175 41 0 22 Jan 2022
Black-box Prompt Learning for Pre-trained Language Models Shizhe Diao Zhichao Huang Ruijia Xu Xuechun Li Yong Lin Xiao Zhou Tong Zhang VLM AAML 108 71 0 21 Jan 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 78 5 0 20 Jan 2022
What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation Li Lin Yixin Cao Lifu Huang Shuang Li Xuming Hu Lijie Wen Jianmin Wang AI4TS 84 16 0 18 Jan 2022
UDC: Unified DNAS for Compressible TinyML Models Igor Fedorov Ramon Matas Hokchhay Tann Chu Zhou Matthew Mattina P. Whatmough AI4CE 87 14 0 15 Jan 2022
FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes Haonan Wang Ziwei Wu Jingrui He 74 13 0 15 Jan 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 100 12 0 13 Jan 2022
Automatic Sparse Connectivity Learning for Neural Networks Zhimin Tang Linkai Luo Bike Xie Yiyu Zhu Rujie Zhao Lvqing Bi Chao Lu 104 42 0 13 Jan 2022
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies Ruichu Cai Fengzhu Wu Zijian Li Jie Qiao Wei Chen Yuexing Hao Hao Gu CML OffRL 64 5 0 13 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 134 2 0 04 Jan 2022
Discrete and continuous representations and processing in deep learning: Looking forward Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 95 20 0 04 Jan 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks Runpei Dong Zhanhong Tan Mengdi Wu Linfeng Zhang Kaisheng Ma MQ 99 12 0 30 Dec 2021
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate Xiaonan Nie Xupeng Miao Shijie Cao Lingxiao Ma Qibin Liu Jilong Xue Youshan Miao Yi Liu Zhi-Xin Yang Tengjiao Wang MoMe MoE 101 24 0 29 Dec 2021
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention Jiahuan Pei Cheng-Yu Wang Gyuri Szarvas 67 23 0 27 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 203 51 0 27 Dec 2021
Learn Layer-wise Connections in Graph Neural Networks Lanning Wei Huan Zhao Zhiqiang He GNN 37 4 0 27 Dec 2021
Neuro-Symbolic Hierarchical Rule Induction Claire Glanois Xuening Feng Zhaohui Jiang Paul Weng Matthieu Zimmer Dong Li Wulong Liu NAI 73 24 0 26 Dec 2021
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation Honguk Woo Hyunsung Lee Sangwook Cho 127 5 0 24 Dec 2021
Multi-Variant Consistency based Self-supervised Learning for Robust Automatic Speech Recognition Changfeng Gao Gaofeng Cheng Pengyuan Zhang 83 4 0 23 Dec 2021
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation Zhongzhi Yu Y. Fu Sicheng Li Chaojian Li Yingyan Lin ViT 94 19 0 21 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Leilei Gan 78 0 0 20 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 94 56 0 18 Dec 2021
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report) Florent Delgrange Ann Nowé Guillermo A. Pérez OffRL 43 11 0 17 Dec 2021
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime K. Annervaz Pritam Kumar Nath Ambedkar Dukkipati RALM 55 1 0 17 Dec 2021
DNA: Dynamic Network Augmentation Scott Mahan T. Doster Henry Kvinge 36 0 0 17 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 128 27 0 16 Dec 2021
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction Chang-You Tai Ming Li Lun-Wei Ku 50 9 0 16 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Hongzhi Zhang Xingcheng Fu Cheng Ji Philip S. Yu 87 162 0 16 Dec 2021