Sep 25, 2023 � Our approach, PIXPNET (Pixel-grounded Prototypical part Network), is the only ProtoPartNN that truly learns and localizes to prototypical object�...
Prototypical part neural networks (ProtoPartNNs), namely PROTOPNET and its derivatives, are an intrinsically interpretable approach to machine learning.
The approach, PixPNet (Pixel-grounded Prototypical part Network), is the only ProtoPartNN that truly learns and localizes to prototypical object parts and�...
Jan 19, 2024 � MERL intern Zach Carmichael presents our paper, "Pixel-Grounded Prototypical Networks ...
Duration: 9:58
Posted: Jan 19, 2024
Duration: 9:58
Posted: Jan 19, 2024
The domain name system (DNS) is one of the core services in today's network structures. In local and ad-hoc networks DNS is often enhanced or replaced by mDNS.
Prototypical part neural networks (ProtoPartNNs), namely ProtoPNet and its derivatives, are an intrinsically interpretable approach to machine learning.
May 1, 2024 � Prototypical part neural networks (ProtoPartNNs), namely PROTOPNET and its derivatives ...
Duration: 9:58
Posted: May 1, 2024
Duration: 9:58
Posted: May 1, 2024
Prototypical part neural networks (ProtoPartNNs), namely ProtoPNet and its derivatives, are an intrinsically interpretable approach to machine learning. Their�...
Our approach, PixPNet (Pixel-grounded Prototypical part Network), is the only ProtoPartNN that truly learns and localizes to prototypical object parts. We�...
Sep 27, 2023 � I'm proud to share that my paper, "Pixel-Grounded Prototypical Part Networks," is now available on arXiv! I think that this is my favorite�...