110
Voted
AAAI
2015
10 years 1 months ago
2015
In multi-task learning, multiple related tasks are considered simultaneously, with the goal to improve the generalization performance by utilizing the intrinsic sharing of informa...
104
Voted
AAAI
2015
10 years 1 months ago
2015
Applications of graphical models often require the use of approximate inference, such as sequential importance sampling (SIS), for estimation of the model distribution given parti...
AAAI
2015
10 years 1 months ago
2015
In this paper, we propose a novel dictionary learning method in the semi-supervised setting by dynamically coupling graph and group structures. To this end, samples are represente...
92
Voted
AAAI
2015
10 years 1 months ago
2015
We present a fully autonomous robotic system for grasping objects in dense clutter. The objects are unknown and have arbitrary shapes. Therefore, we cannot rely on prior models. I...
90
Voted
AAAI
2015
10 years 1 months ago
2015
In this paper, I summarize the results of a decade-plus of research and development driven by the vision that human knowledge can be grounded in a small number of prototypical com...