SIMPLE: A Gradient Estimator for $k$ -Subset Sampling

4 October 2022

Papers citing "SIMPLE: A Gradient Estimator for $k$-Subset Sampling"

7 / 7 papers shown

Title
Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning Guangtai Wang Chi-man Vong Jintao Huang 14 0 0 14 May 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 97 0 0 22 Jan 2025
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints Kareem Ahmed Kai-Wei Chang Mathias Niepert 34 10 0 06 Dec 2023
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Mathias Niepert SSL 55 6 0 22 Nov 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 42 3 0 26 May 2023
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 46 11 0 11 Sep 2022
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012