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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
Policy-Gradient Training of Language Models for Ranking Ge Gao Jonathan D. Chang Claire Cardie Kianté Brantley Thorsten Joachims 58 2 0 06 Oct 2023
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency Tianhong Li Sangnie Bhardwaj Yonglong Tian Han Zhang Jarred Barber Dina Katabi Guillaume Lajoie Huiwen Chang Dilip Krishnan VLM 94 5 0 05 Oct 2023
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis Adrian Cosma I. Radoi 64 1 0 05 Oct 2023
Machine learning the interaction network in coupled dynamical systems Pawan R. Bhure M. S. Santhanam 55 0 0 05 Oct 2023
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models Deniz Bayazit Negar Foroutan Zeming Chen Gail Weiss Antoine Bosselut KELM 105 16 0 04 Oct 2023
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization Tanmay Gautam Reid Pryzant Ziyi Yang Chenguang Zhu Somayeh Sojoudi MQ 58 4 0 04 Oct 2023
Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric Shiyun Wa Xinai Lu Minjuan Wang 77 1 0 04 Oct 2023
QuATON: Quantization Aware Training of Optical Neurons Hasindu Kariyawasam Ramith Hettiarachchi Quansan Yang Alex Matlock Takahiro Nambara Hiroyuki Kusaka Yuichiro Kunai Peter T C So Edward S Boyden D. Wadduwage MQ 64 1 0 04 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control Rohit Bokade Xiaoning Jin Chris Amato 101 13 0 03 Oct 2023
Dodo: Dynamic Contextual Compression for Decoder-only LMs Guanghui Qin Corby Rosset Ethan C. Chau Nikhil Rao Benjamin Van Durme 57 11 0 03 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 150 15 0 03 Oct 2023
Discrete, compositional, and symbolic representations through attractor dynamics Andrew Nam Eric Elmoznino Nikolay Malkin Chen Sun Yoshua Bengio Guillaume Lajoie 98 1 0 03 Oct 2023
Equivariant Adaptation of Large Pretrained Models Arnab Kumar Mondal Siba Smarak Panigrahi Sekouba Kaba Sai Rajeswar Siamak Ravanbakhsh 114 28 0 02 Oct 2023
Improving Dialogue Management: Quality Datasets vs Models Miguel Ángel Medina-Ramírez Cayetano Guerra M. Hernández-Tejera 54 0 0 02 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 114 26 0 02 Oct 2023
Drug Discovery with Dynamic Goal-aware Fragments Seul Lee Seanie Lee Kenji Kawaguchi Sung Ju Hwang 125 9 0 02 Oct 2023
Sparse Backpropagation for MoE Training Liyuan Liu Jianfeng Gao Weizhu Chen MoE 71 9 0 01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 98 80 0 01 Oct 2023
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 112 74 0 01 Oct 2023
An Easy Rejection Sampling Baseline via Gradient Refined Proposals Edward Raff Mark McLean James Holt 57 0 0 30 Sep 2023
Emotional Listener Portrait: Neural Listener Head Generation with Emotion Luchuan Song Guojun Yin Zhenchao Jin Xiaoyi Dong Chenliang Xu 107 12 0 29 Sep 2023
Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator Emily Black Guangyuan Zhao Daniel E. Ho AI4CE 57 1 0 29 Sep 2023
A Survey on Deep Learning Techniques for Action Anticipation Zeyun Zhong Manuel Martin Michael Voit Juergen Gall Jürgen Beyerer 118 8 0 29 Sep 2023
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning Daoce Wang Chi Jin OffRL DiffM 98 35 0 29 Sep 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models M. Zarlenga Katherine M. Collins Krishnamurthy Dvijotham Adrian Weller Z. Shams M. Jamnik 96 27 0 29 Sep 2023
Learning to Transform for Generalizable Instance-wise Invariance Yan Liu Carlos Esteves Franccois Marelli Stella X. Yu OOD 64 2 0 28 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 101 2 0 28 Sep 2023
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations Sharath Girish Abhinav Shrivastava Kamal Gupta 104 25 0 27 Sep 2023
$Only 5\% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation$ Only 5\% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation Zihan Liu Zewei Sun Shanbo Cheng Shujian Huang Mingxuan Wang 65 1 0 25 Sep 2023
Combining Two Adversarial Attacks Against Person Re-Identification Systems E. D. Andrade Igor Garcia Ballhausen Sampaio Joris Guérin José Viterbo Filho AAML 100 0 0 24 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 64 7 0 24 Sep 2023
D-Separation for Causal Self-Explanation Wei Liu Jun Wang Yining Qi Rui Li Zhiying Deng YuanKai Zhang Yang Qiu 161 18 0 23 Sep 2023
M $^3$ CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders Qibo Qiu Honghui Yang Wenxiao Wang Shun Zhang Haiming Gao Haochao Ying Wei Hua Xiaofei He 3DPC 83 0 0 23 Sep 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 130 3 0 22 Sep 2023
AntiBARTy Diffusion for Property Guided Antibody Design Jordan Venderley DiffM 52 1 0 22 Sep 2023
Autoregressive Sign Language Production: A Gloss-Free Approach with Discrete Representations Eui Jun Hwang Huije Lee Jong C. Park SLR 99 6 0 21 Sep 2023
Neural Image Compression Using Masked Sparse Visual Representation Wei Jiang Wei Wang Yuewei Chen 64 7 0 20 Sep 2023
$C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters$ C $\cdot$ ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters Zhiyang Dou Xuelin Chen Qingnan Fan Taku Komura Wenping Wang 97 43 0 20 Sep 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution Zhimin Sun Shen Chen Taiping Yao Bangjie Yin Ran Yi Shouhong Ding Lizhuang Ma CVBM 103 23 0 20 Sep 2023
Weakly Supervised Reasoning by Neuro-Symbolic Approaches Xianggen Liu Zhengdong Lu Lili Mou LRM NAI 96 4 0 19 Sep 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan Ruofan Wu Tengfei Liu Tianyi Zhang Yifei Zhu Weiqiang Wang FedML 108 9 0 18 Sep 2023
Unifying Robustness and Fidelity: A Comprehensive Study of Pretrained Generative Methods for Speech Enhancement in Adverse Conditions Heming Wang Meng Yu Huatian Zhang Chunlei Zhang Zhongweiyang Xu Muqiao Yang Yixuan Zhang Dong Yu 88 3 0 16 Sep 2023
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees Jinzhao Li Nan Jiang Yexiang Xue 72 1 0 16 Sep 2023
Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval Rui Deng Qian Wu Yuke Li Haoran Fu 56 2 0 15 Sep 2023
SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification Yiyuan Yang Kaichen Zhou Niki Trigoni Andrew Markham 61 5 0 15 Sep 2023
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights Daniil Lisus Johann Laconte Keenan Burnett Ziyu Zhang Timothy D. Barfoot 161 6 0 15 Sep 2023
On Prediction Feature Assignment in the Heckman Selection Model Huy Mai Xintao Wu 78 1 0 14 Sep 2023
Differentiable JPEG: The Devil is in the Details Christoph Reich Biplob K. Debnath Deep Patel S. Chakradhar DiffM 108 10 0 13 Sep 2023
Topology-inspired Cross-domain Network for Developmental Cervical Stenosis Quantification Zhenxi Zhang Yanyang Wang Yao Wu Weifei Wu 55 0 0 13 Sep 2023
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review Pengzhou Cheng Zongru Wu Wei Du Haodong Zhao Wei Lu Gongshen Liu SILM AAML 183 21 0 12 Sep 2023