output
20162026
most citedGAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

353 citations

researchers with a paper here
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Showing 2023Show all

3 papers · 1 filter

cs.DC2023★ 12 cited

Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads

Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris +1

Running multiple deep neural networks (DNNs) in parallel has become an emerging workload in both edge devices, such as mobile phones where multiple tasks serve a single user for da…

cs.AI2023★ 20 cited

Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert

Ryan Cory-Wright, Cristina Cornelio, Sanjeeb Dash +2

The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have…

cs.DB2023

Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue

Efthymia Tsamoura, Jaehun Lee, Jacopo Urbani

The role of uncertainty in data management has become more prominent than ever before, especially because of the growing importance of machine learning-driven applications that pro…