Overparameterized And Adversarially Robust Sparse

Computer Science Seminar Series October 20, 2020 “

TL;DR This talk highlights how flatness in the

Authors: Saehyung Lee, Hyungyu Lee, Sungroh Yoon Description:

Abstract: The recent push to adopt machine learning solutions in real-world settings gives rise to a major challenge: can we ...

This video is part of the Introduction to ML Safety course (https://course.mlsafety.org) and was recorded by Dan Hendrycks at the ...

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai October ...

Abstract:

Sparse

Authors: Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu Description: Deep neural networks are ...

... to compute is these two field standard machine learning tries to achieve minimize that risk risk and

Chong You Research Scientist Google NYC Abstract: Recently,

Course Webpage: http://www.cs.umd.edu/class/fall2020/cmsc828W/

Adversarial Robustness

This is the recording of our tutorial on

In this lecture we take a look at possible countermeasures against

3-minute video for NeurIPS 2018 Paper: https://arxiv.org/abs/1811.06609.

Authors: Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong Description: ...

AAAI 2022 workshop talks on

This is a presentation for the "

By: Pin-Yu.Chen, IBM Research April 22, 2019 NeurIPS Paper : NeurIPS 2018 ...