Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction
23. července 2021
Řečníci
Jiahua Rao
Řečník · 0 sledujících
Shuangjia Zheng
Řečník · 0 sledujících
Yuedong Yang
Řečník · 0 sledujících
O organizátorovi (ICML 2021)
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
Baví vás formát? Nechte SlidesLive zachytit svou akci!
Profesionální natáčení a streamování po celém světě.
Sdílení
Doporučená videa
Prezentace na podobné téma, kategorii nebo přednášejícího
Chapter 3: Pruning CNNs as a Case Study
Zhlédnout později
How Framelets Enhance Graph Neural Networks
Zhlédnout později
Xuebin Zheng, …
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
Zhlédnout později
Cunxiao Du, …
Data-driven Experimental Prioritization via Imputation and Submodular Optimization
Zhlédnout později
Panel Discussion
Zhlédnout později
Sherri Rose, …
Graph Neural Networks Inspired by Classical Iterative Algorithms
Zhlédnout později
Yongyi Yang, …