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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
Feature Selection in the Contrastive Analysis Setting Ethan Weinberger Ian Covert Su-In Lee 62 2 0 27 Oct 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 134 5 0 27 Oct 2023
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers Tobias King Yexu Zhou Tobias Röddiger Michael Beigl 83 3 0 27 Oct 2023
Human-Guided Complexity-Controlled Abstractions Andi Peng Mycal Tucker Eoin M. Kenny Noga Zaslavsky Pulkit Agrawal Julie A. Shah 65 1 0 26 Oct 2023
Spatio-Temporal Meta Contrastive Learning Jiabin Tang Lianghao Xia Jie Hu Chao Huang AI4TS 69 10 0 26 Oct 2023
Explainable Spatio-Temporal Graph Neural Networks Jiabin Tang Lianghao Xia Chao Huang AI4TS 108 20 0 26 Oct 2023
Network Design through Graph Neural Networks: Identifying Challenges and Improving Performance Donald Loveland Rajmonda Caceres 41 0 0 26 Oct 2023
Probabilistic Integral Circuits G. Gala Cassio de Campos Robert Peharz Antonio Vergari Erik Quaeghebeur TPM 61 3 0 25 Oct 2023
DyExplainer: Explainable Dynamic Graph Neural Networks Tianchun Wang Dongsheng Luo Wei Cheng Haifeng Chen Xiang Zhang 84 3 0 25 Oct 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 65 0 0 25 Oct 2023
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models Raymond Li Gabriel Murray Giuseppe Carenini MoE 81 2 0 24 Oct 2023
A Survey on Detection of LLMs-Generated Content Xianjun Yang Liangming Pan Xuandong Zhao Haifeng Chen Linda R. Petzold William Y. Wang Wei Cheng DeLMO 102 55 0 24 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 128 16 0 24 Oct 2023
One-hot Generalized Linear Model for Switching Brain State Discovery Chengrui Li Soon Ho Kim Chris Rodgers Hannah Choi Anqi Wu 31 6 0 23 Oct 2023
SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution Weihao Lin Tao Chen Chong Yu VOS 80 3 0 23 Oct 2023
Cross-Modal Conceptualization in Bottleneck Models Danis Alukaev S. Kiselev Ilya Pershin Bulat Ibragimov Vladimir Ivanov Alexey Kornaev Ivan Titov 87 7 0 23 Oct 2023
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding Shuwen Deng Paul Prasse D. R. Reich Tobias Scheffer Lena A. Jäger 98 7 0 23 Oct 2023
Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search Yingying Gao Shilei Zhang Zihao Cui Chao Deng Junlan Feng 54 0 0 23 Oct 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 62 8 0 22 Oct 2023
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee Haoyu Wang Jialin Liu Xiaohan Chen Xinshang Wang Pan Li Wotao Yin 63 6 0 20 Oct 2023
Learning Successor Features with Distributed Hebbian Temporal Memory E. Dzhivelikian Petr Kuderov Aleksandr I. Panov 77 0 0 20 Oct 2023
Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model Zhuoer Wang Yicheng Wang Ziwei Zhu James Caverlee 92 0 0 19 Oct 2023
Neurosymbolic Grounding for Compositional World Models Atharva Sehgal Arya Grayeli Jennifer J. Sun Swarat Chaudhuri 89 6 0 19 Oct 2023
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models Ruisi Zhang Shehzeen Samarah Hussain Paarth Neekhara F. Koushanfar 73 36 0 18 Oct 2023
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following Cheng Yang Yen-Chun Chen Jianwei Yang Xiyang Dai Lu Yuan Yu Wang Kai-Wei Chang LM&Ro 71 10 0 18 Oct 2023
Improving Representation Learning for Histopathologic Images with Cluster Constraints Weiyi Wu Chongyang Gao Joseph DiPalma Soroush Vosoughi Saeed Hassanpour 79 3 0 18 Oct 2023
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design Mingzhang Yin Ruijiang Gao Weiran Lin Steven M. Shugan 57 0 0 18 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 116 10 0 17 Oct 2023
Unsupervised Lead Sheet Generation via Semantic Compression Cheng-i Wang Nikita Srivatsan Taylor Berg-Kirkpatrick Julian McAuley 66 0 0 16 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 216 2 0 16 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 54 2 0 13 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 73 2 0 13 Oct 2023
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation Jiayu Xiao Henglei Lv Liang Li Shuhui Wang Qingming Huang DiffM 116 23 0 13 Oct 2023
ELDEN: Exploration via Local Dependencies Jiaheng Hu Zizhao Wang Peter Stone Roberto Martin-Martin 95 8 0 12 Oct 2023
Language Models As Semantic Indexers Bowen Jin Hansi Zeng Guoyin Wang Xiusi Chen Tianxin Wei ... Yang Li Hanqing Lu Suhang Wang Jiawei Han Xianfeng Tang RALM 91 20 0 11 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 106 7 0 11 Oct 2023
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin 127 6 0 11 Oct 2023
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices Luca Bompani Matteo Risso Beatrice Alessandra Motetti Enrico Macii Luca Benini Daniele Jahier Pagliari 80 10 0 11 Oct 2023
FABind: Fast and Accurate Protein-Ligand Binding Qizhi Pei Kaiyuan Gao Lijun Wu Jinhua Zhu Yingce Xia Shufang Xie Tao Qin Kun He Tie-Yan Liu Rui Yan 146 21 0 10 Oct 2023
It's About Time: Temporal References in Emergent Communication Olaf Lipinski Adam Sobey Federico Cerutti Timothy J. Norman AI4CE 169 0 0 10 Oct 2023
Discovering Mixtures of Structural Causal Models from Time Series Data Sumanth Varambally Yi-An Ma Rose Yu 112 7 0 10 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning Yash Garg Nebiyou Yismaw Rakib Hyder Ashley Prater-Bennette M. Salman Asif 58 2 0 09 Oct 2023
High Dimensional Causal Inference with Variational Backdoor Adjustment Daniel Israel Aditya Grover Guy Van den Broeck CML 61 0 0 09 Oct 2023
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders Gulcin Baykal M. Kandemir Gözde B. Ünal 67 13 0 09 Oct 2023
Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers Shiyue Cao Yueqin Yin Lianghua Huang Yu Liu Xin Zhao Deli Zhao Kaiqi Huang ViT 95 19 0 09 Oct 2023
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network Ruizhi Wang Xiang-Fei Wang Jie Zhou Thomas Lukasiewicz Zhenghua Xu 71 1 0 09 Oct 2023
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval Sunjae Yoon Gwanhyeong Koo Dahyun Kim Changdong Yoo 93 12 0 08 Oct 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations Mozes Jacobs Bingni W. Brunton Steven L. Brunton J. Nathan Kutz Ryan V. Raut 69 10 0 07 Oct 2023
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset Andreas Voskou Konstantinos P. Panousis Harris Partaourides Kyriakos Tolias S. Chatzis SLR 96 6 0 07 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Zexu Sun Bowei He Ming Ma Jiakai Tang Yuchen Wang Chen Ma Dugang Liu 69 4 0 07 Oct 2023