Inferring the causal direction between two variables from their observation data is one of the most fundamental and challenging topics in data science.
One of recent trends [30, 31, 14] in network architec- ture design is stacking small filters (e. g., 1x1 or 3x3) in the entire network because the stacked small filters is more ef- ficient than a large kernel, given the same computational complexity.
Ranked #7 on Semantic Segmentation on PASCAL VOC 2012 val
Dung's abstract argumentation framework consists of a set of interacting arguments and a series of semantics for evaluating them.
In this paper, we propose a counting approach for a more fine-gained assessment to arguments by counting the number of their respective attackers and defenders based on argument graph and argument game.
Recently, ranking-based semantics is proposed to rank-order arguments from the most acceptable to the weakest one(s), which provides a graded assessment to arguments.