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20212025
most citedBatchQuant: Quantized-for-all Architecture Search with Robust Quantizer

14 citations · 81 across the 23 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025

Apple Intelligence Foundation Language Models: Tech Report 2025

Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395

We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: i a 3B-parameter on-device model opti…

cs.LG2025

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation

Siqi Shen, Yu Liu, Daniel Biggs +5

In recent years, Graph Neural Network (GNN) based models have shown promising results in simulating physics of complex systems. However, training dedicated graph network based phys…

cs.LG2022★ 2 cited

Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey

Shancong Mou, Meng Cao, Zhendong Hong +3

Display front-of-screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process. However, the severe imbalanced data, especially the…

cs.LG2022★ 6 cited

Information Gain Propagation: a new way to Graph Active Learning with Soft Labels

Wentao Zhang, Yexin Wang, Zhenbang You +5

Graph Neural Networks (GNNs) have achieved great success in various tasks, but their performance highly relies on a large number of labeled nodes, which typically requires consider…

cs.LG2021★ 10 cited

RIM: Reliable Influence-based Active Learning on Graphs

Wentao Zhang, Yexin Wang, Zhenbang You +5

Message passing is the core of most graph models such as Graph Convolutional Network (GCN) and Label Propagation (LP), which usually require a large number of clean labeled data to…