This study considers online learning with general directed feedback graphs.

This study considers online learning with general directed feedback graphs.

To better distill pose information from the object's geometry, we propose the implicit pose applier to output an intrinsic mesh property, the face Jacobian. Once the extracted pose information is transferred to the target object, the pose applier is fine-tuned in a self-supervised manner to better describe the target object's shapes with pose

To avoid these problems, this paper proposes a method, "Retrospective Adversarial

This dataset includes over 3.5 million documents with rich metadata, making it one of the most extensive collections of debate evidence.

Receiving fine-grained instruction from these specialized teachers can often be non-uniform, costly, and limited by their availability.

While this setup has enjoyed a lot of attention in the applied community, there hasn't be theoretical work that even formalizes the desired guarantees.