FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Paper • 2309.14675 • Published Sep 26, 2023
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants Paper • 2502.20309 • Published Feb 27
PixCell: A generative foundation model for digital histopathology images Paper • 2506.05127 • Published Jun 5 • 3
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication Paper • 2411.04257 • Published Nov 6, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets Paper • 2403.15953 • Published Mar 23, 2024
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation Paper • 2304.05430 • Published Apr 11, 2023
A Survey of Techniques for Optimizing Transformer Inference Paper • 2307.07982 • Published Jul 16, 2023
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Paper • 1909.00311 • Published Sep 1, 2019
CIDAR: Culturally Relevant Instruction Dataset For Arabic Paper • 2402.03177 • Published Feb 5, 2024 • 7
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators Paper • 2310.04607 • Published Oct 6, 2023
MLMC: Machine Learning Monte Carlo for Lattice Gauge Theory Paper • 2312.08936 • Published Dec 14, 2023