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Found 4 papers, 2 papers with code
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
However, our scaling laws also predict robustness slowly grows then plateaus at $90$%: dwarfing our new SOTA by scaling is impractical, and perfect robustness is impossible.
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
Our extensive experiments show that DeepZero achieves state-of-the-art (SOTA) accuracy on ResNet-20 trained on CIFAR-10, approaching FO training performance for the first time.
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems
To address those challenges, this paper proposes new extensions to OpenMP for autonomous, machine learning-driven adaptation.
Hardware Versus Software Fault Injection of Modern Undervolted SRAMs
During our study we corrupt the L1-Dcache of the simulated system and we monitor the behavior of the two types of fault maps on the resiliency of six benchmarks.
Performance Hardware Architecture
