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

SIMPLE: A Gradient Estimator for kkk-Subset Sampling

4 October 2022
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Guy Van den Broeck
    BDL
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Papers citing "SIMPLE: A Gradient Estimator for $k$-Subset Sampling"

6 / 6 papers shown
Title
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
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
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
28
10
0
06 Dec 2023
A Unified Approach to Count-Based Weakly-Supervised Learning
A Unified Approach to Count-Based Weakly-Supervised Learning
Vinay Shukla
Zhe Zeng
Kareem Ahmed
Guy Van den Broeck
SSL
52
5
0
22 Nov 2023
Differentiable Random Partition Models
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
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini
Luca Franceschi
Mathias Niepert
40
11
0
11 Sep 2022
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
200
296
0
15 Oct 2012
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