Abstract: While adversarial training is an effective defense method against adversarial attacks, it notably increases the training cost. To this end, fast adversarial training (FAT) is presented for ...

Abstract: Deep neural networks have achieved remarkable results across various tasks. However, they are susceptible to adversarial examples, which are generated by adding adversarial perturbations to ...

If you’ve ever climbed stairs, carried a heavy object, hiked up a mountain, played tug of war, or done a squat, congratulations: You’ve done resistance training without even knowing it. This form of ...

Most business owners work hard to keep good employees, and it always feels better when people stay because they want to, not because they’re financially pressured to stick around. But after years of ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...