This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The authors successfully improve robustness against a wide range of adversarial attacks. Wed also be keen to see comparisons with supervised finetuning, RLHF, and adversarial training where appropriate. VC theory ) and the generalization performance we see in practice. Sheshadri et al. Guan et al. Karvonen et al. Abbe et al. )
Youre the lead author and then theres a bunch of other authors that I dont want to read on air, but can you give us a sense of just whats the idea here? Daniel Filan (00:28:50): If people remember my singular learningtheory episodes , theyll get mad at you for saying that quadratics are all there is, but its a decent approximation. (00:28:56):
We organize all of the trending information in your field so you don't have to. Join 12,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content