Categories |
MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
|
About |
|
Over the years, ML models have steadily grown in complexity, gaining predictivity often at the expense of interpretability. An active research area called explainable AI (or XAI) has emerged with the goal to produce models that are both predictive and understandable. XAI has reached important successes, such as robust heatmap-based explanations of DNN classifiers. From an application perspective, there is now a need to massively engage into new scenarios such as explaining unsupervised / reinforcement learning, as well as producing explanations that are optimally structured for the human. In particular, our planned workshop will cover the following topics : |
Call for Papers |
|
We call for papers on the following topics: (1) explaining other types of ML models (e.g. random forest, kernel machines, k-means), (2) explanation for other ML tasks (e.g. segmentation, unsupervised learning, reinforcement learning), (3) explaining beyond heatmaps (structured explanations, Q/A and dialog systems, human-in-the-loop), (4) Explaining beyond explaining (e.g., improving ML models and algorithms, verifying ML, getting insights). |
Summary |
|
XXAI 2020 : Extending Explainable AI Beyond Deep Models and Classifiers will take place in Vienna, Austria. It’s a 1 day event starting on Jul 18, 2020 (Saturday) and will be winded up on Jul 18, 2020 (Saturday). XXAI 2020 falls under the following areas: MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, etc. Submissions for this Workshop can be made by Jun 20, 2020. Authors can expect the result of submission by Jul 01, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 10, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the XXAI 2020
|
Credits and Sources |
| [1] XXAI 2020 : Extending Explainable AI Beyond Deep Models and Classifiers |
