Graph representation learning for static graphs is a well studied topic. Recently, a few
studies have focused on learning temporal information in addition to the topology of a graph …

Weld evaluation processes are usually conducted in the post-weld stage. In this way, defects
are found after the weld is completed, often resulting in disposal of expensive material or …

In recent years, substantial effort has been devoted to learning to represent the static graphs
and their substructures. A few studies explored utilizing temporal information available in a …

Direct monitoring of wild animals' behavior is challenging and data tampering. Instrument
the animals with collars that embeds sensors, such as tri-axial accelerometer and GPS …

There has been much interest in recent years in learning good classifiers from data with
noisy labels. Most work on learning from noisy labels has focused on standard loss-based …

In many structured prediction problems, complex relationships between variables are
compactly defined using graphical structures. The most prevalent graphical prediction …

Behavior initiation is a form of leadership and is an important aspect of social organization
that affects the processes of group formation, dynamics, and decision-making in human …

Many structured prediction tasks arising in computer vision and natural language processing
tractably reduce to making minimum cost cuts in graphs with edge weights learned using …

Many important structured prediction problems, including learning to rank items,
correspondence-based natural language processing, and multi-object tracking, can be …

Activity recognition and, more generally, behavior inference tasks are gaining a lot of
interest. Much of it is work in the context of human behavior. New available tracking …