From Learning, to Meta-Learning, to "Lego-Learning” -- theory, system, and applications by Prof Xing
SailingLab CMU
From Learning, to Meta-Learning, to "Lego-Learning” -- theory, system, and applications by Prof Xing
1:27:14
KDD 2021 invited talk: It is time for deep learning to understand its expense bills by Eric Xing
SailingLab CMU
KDD 2021 invited talk: It is time for deep learning to understand its expense bills by Eric Xing
40:01
ICML 2021 invited talk: A Data-Centric View for Composable Natural Language Processing by Eric Xing
SailingLab CMU
ICML 2021 invited talk: A Data-Centric View for Composable Natural Language Processing by Eric Xing
41:58
ACL 2021 invited talk: Learning-to-learn through Model-based Optimization, by Prof Eric Xing
SailingLab CMU
ACL 2021 invited talk: Learning-to-learn through Model-based Optimization, by Prof Eric Xing
49:50
Tutorial on Modularizing NLP by Zhengzhong Liu, Zecong Hu, Zhiting Hu, Eric Xing from Petuum and CMU
SailingLab CMU
Tutorial on Modularizing NLP by Zhengzhong Liu, Zecong Hu, Zhiting Hu, Eric Xing from Petuum and CMU
1:17:24
"On Trustworthiness of ML Algorithms" by Eric Xing at Trustworthy AI for Healthcare, AAAI21 Workshop
SailingLab CMU
"On Trustworthiness of ML Algorithms" by Eric Xing at Trustworthy AI for Healthcare, AAAI21 Workshop
1:20:21
AAAI 2021 Tutorial: Simplifying and Automating Parallel ML via a Programmable and Composable System
SailingLab CMU
AAAI 2021 Tutorial: Simplifying and Automating Parallel ML via a Programmable and Composable System
3:33:56
KDD 2020 Tutorial: Learning from All Types of Experiences: A Unifying Machine Learning Perspective
SailingLab CMU
KDD 2020 Tutorial: Learning from All Types of Experiences: A Unifying Machine Learning Perspective
3:30:54