A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

4 October 2021

Papers citing "A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning"

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Title
FROG: Fair Removal on Graphs Z. Chen Jiali Cheng Gabriele Tolomei Sijia Liu Hadi Amiri Yu Wang Kaushiki Nag Lu Lin MU 49 1 0 23 Mar 2025
Multi-Fidelity Policy Gradient Algorithms Xinjie Liu Cyrus Neary Kushagra Gupta Christian Ellis Ufuk Topcu David Fridovich-Keil OffRL 110 0 0 07 Mar 2025
Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints Qinglin Liu Zonglin Li Xiaoqian Lv Xin Sun Ru Li Shengping Zhang 35 0 0 05 Mar 2025
Evaluation of Large Language Models via Coupled Token Generation N. C. Benz Stratis Tsirtsis Eleni Straitouri Ivi Chatzi Ander Artola Velasco Suhas Thejaswi Manuel Gomez Rodriguez 46 0 0 03 Feb 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 95 0 0 22 Jan 2025
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization Yingfan Wang Guoliang Kang VLM 74 0 0 10 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 79 1 0 25 Nov 2024
$k$ NN Attention Demystified: A Theoretical Exploration for Scalable Transformers Themistoklis Haris 31 0 0 06 Nov 2024
Discovering Robotic Interaction Modes with Discrete Representation Learning Liquan Wang Ankit Goyal Haoping Xu Animesh Garg 26 0 0 26 Oct 2024
Neural Click Models for Recommender Systems Mikhail Shirokikh Ilya Shenbin Anton M. Alekseev Anna Volodkevich Alexey Vasilev Andrey Savchenko Sergey I. Nikolenko LRM 3DV 14 1 0 30 Sep 2024
You-Only-Randomize-Once: Shaping Statistical Properties in Constraint-based PCG Jediah Katz Bahar Bateni Adam M. Smith 21 3 0 01 Sep 2024
Coupling without Communication and Drafter-Invariant Speculative Decoding Majid Daliri Christopher Musco A. Suresh 46 1 0 15 Aug 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Qiongkai Xu Mark Dras SILM AAML 39 0 0 28 Jun 2024
MEGA: Masked Generative Autoencoder for Human Mesh Recovery Guénolé Fiche Simon Leglaive Xavier Alameda-Pineda Francesc Moreno-Noguer 3DH 58 1 0 29 May 2024
Anomalous Change Point Detection Using Probabilistic Predictive Coding Roelof G. Hup Julian P Merkofer A. Bhogal Ruud J. G. van Sloun R. Haakma Rik Vullings 13 0 0 24 May 2024
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li Michael P. Wellman 18 1 0 30 Apr 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement Jonathan Pirnay D. G. Grimm 39 10 0 22 Mar 2024
Conditional computation in neural networks: principles and research trends Simone Scardapane Alessandro Baiocchi Alessio Devoto V. Marsocci Pasquale Minervini Jary Pomponi 32 1 0 12 Mar 2024
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence Penghai Zhao Xin Zhang Ming-Ming Cheng Jian Yang Xiang Li 29 1 0 20 Feb 2024
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 13 1 0 08 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 28 2 0 05 Feb 2024
Residual Quantization with Implicit Neural Codebooks Iris A. M. Huijben Matthijs Douze Matthew Muckley Ruud J. G. van Sloun Jakob Verbeek MQ 19 11 0 26 Jan 2024
Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution Andrei Beinarovich Sergey Stepanov Alexander Zaslavsky 38 0 0 12 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation Ziyan Zhang Bo Jiang Jin Tang Bin Luo 17 1 0 08 Jan 2024
Bayesian Intrinsic Groupwise Image Registration: Unsupervised Disentanglement of Anatomy and Geometry Xinzhe Luo Xin Wang Linda Shapiro Chun Yuan Jianfeng Feng Xiahai Zhuang 20 0 0 04 Jan 2024
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick Lennert De Smet Emanuele Sansone Pedro Zuidberg Dos Martires 14 11 0 21 Nov 2023
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models Raymond Li Gabriel Murray Giuseppe Carenini MoE 31 2 0 24 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 58 2 0 16 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 14 4 0 05 Oct 2023
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis Adrian Cosma I. Radoi 19 1 0 05 Oct 2023
Self-supervised Learning for Anomaly Detection in Computational Workflows Hongwei Jin Krishnan Raghavan George Papadimitriou Cong Wang A. Mandal Ewa Deelman Prasanna Balaprakash 14 1 0 02 Oct 2023
A skeletonization algorithm for gradient-based optimization M. Menten Johannes C. Paetzold V. Zimmer Suprosanna Shit Ivan Ezhov Robbie Holland Monika Probst J. Schnabel Daniel Rueckert ODL MedIm 17 18 0 05 Sep 2023
Prototype-based Dataset Comparison N. V. Noord 16 6 0 05 Sep 2023
Fast Slate Policy Optimization: Going Beyond Plackett-Luce Otmane Sakhi D. Rohde Nicolas Chopin OffRL 8 3 0 03 Aug 2023
Neural Quantile Optimization for Edge-Cloud Computing Bin Du Hexun Zhang Xiangle Cheng Lei Zhang 25 0 0 11 Jul 2023
Some challenges of calibrating differentiable agent-based models Arnau Quera-Bofarull Joel Dyer Anisoara Calinescu Michael Wooldridge AI4CE 24 7 0 03 Jul 2023
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning S. Tovey David Zimmer Christoph Lohrmann Tobias Merkt Simon Koppenhoefer Veit-Lorenz Heuthe Clemens Bechinger Daniel Fink AI4CE 16 2 0 03 Jul 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders Luca Anzalone S. S. Chhibra B. Maier N. Chernyavskaya M. Pierini AI4CE 27 4 0 22 Jun 2023
Differentiable Clustering with Perturbed Spanning Forests Lawrence Stewart Francis R. Bach Felipe Llinares-López Quentin Berthet 21 8 0 25 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Andrew Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 21 3 0 04 May 2023
Compressing Sentence Representation with maximum Coding Rate Reduction Domagoj Ševerdija Tomislav Prusina Antonio Jovanovic Luka Borozan Jurica Maltar Domagoj Matijević 14 2 0 25 Apr 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining Nicholas Monath Manzil Zaheer Kelsey R. Allen Andrew McCallum 27 6 0 27 Mar 2023
Causal Temporal Reasoning for Markov Decision Processes M. Kazemi Nicola Paoletti LRM AI4CE 8 1 0 16 Dec 2022
Properties of the Concrete distribution D. D. Chow 19 0 0 02 Nov 2022
Predictive Querying for Autoregressive Neural Sequence Models Alex Boyd Samuel Showalter Stephan Mandt Padhraic Smyth BDL AI4TS 13 4 0 12 Oct 2022
Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi D. Rohde Alexandre Gilotte OffRL 24 3 0 08 Aug 2022
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes A. Sorokin N. Buzun Leonid Pugachev Mikhail Burtsev 15 8 0 27 Jul 2022
Differentiable Agent-based Epidemiology Ayush Chopra Alexander Rodríguez J. Subramanian Arnau Quera-Bofarull Balaji Krishnamurthy B. Prakash Ramesh Raskar AI4CE 18 19 0 20 Jul 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon C. Alippi CML AI4TS 35 18 0 26 May 2022
RevUp: Revise and Update Information Bottleneck for Event Representation Mehdi Rezaee Francis Ferraro 25 0 0 24 May 2022