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Soft Random Sampling: A Theoretical and Empirical Analysis

Soft Random Sampling: A Theoretical and Empirical Analysis

21 November 2023
Xiaodong Cui
Ashish R. Mittal
Songtao Lu
Wei Zhang
G. Saon
Brian Kingsbury
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Papers citing "Soft Random Sampling: A Theoretical and Empirical Analysis"

2 / 2 papers shown
Title
NEBULA: Neural Empirical Bayes Under Latent Representations for
  Efficient and Controllable Design of Molecular Libraries
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries
E. Nowara
Pedro H. O. Pinheiro
Sai Pooja Mahajan
Omar Mahmood
Andrew Watkins
Saeed Saremi
Michael R. Maser
BDL
DiffM
40
2
0
03 Jul 2024
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient
  Deep Model Training
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
A. De
Rishabh K. Iyer
OOD
88
188
0
27 Feb 2021
1