Representation learning has significantly driven the field to develop
pr...
Contrastively trained encoders have recently been proven to invert the
d...
Proxy-based Deep Metric Learning (DML) learns deep representations by
em...
Interest in understanding and factorizing learned embedding spaces is
gr...
A key task in multi-label classification is modeling the structure betwe...
The production of lithium-ion battery cells is characterized by a high d...