Deep learning is the predominant machine learning paradigm in language processing. This approach not only gave huge performance improvements across a large variety of natural language processing tasks. This time we will loke at smoothness of loss landscape and realted topics.
Lecturer: Dietrich Klakow
Location: t.d.b
Time: block course in the spring break 2027 however preparations start earlier. Here the specific time line
Closing topic doodle: tbd
Kick-Off: tbd
One page outline: tbd
Draft presentation: tbd
Practice talks and final talks will be during the spring break. Time/date will be decided during the kick-off.
Application for participation: see CS seminar system (for CS; BioInf, DSAI, VC, ES, …), for CoLI,LST, LCT use LSF to apply.
HISPOS registration deadline: tbd
Grading (tentative):
- 5% three slide/5 min presentation
- 10% draft of full presentation
- 10% practice talk
- 25% own experiments and coding
- 10% report on coding task
- 35% final talk
- 5% contributions to discussion during final talk of fellow participants
List of Topics (tentative):