Proceedings of the Workshop on Deep Linguistic Processing

Deep water.
由: Sumner, Jamie
出版: (2024)

Proceedings of the Workshop on Distributed Infrastructures for Deep Learning

Proceedings of the Workshop on Distributed Infrastructures for Deep Learning

Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning

Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition

Philology Broad and Deep
由: Birnbaum

Spark from the Deep
由: Turkel

Our Deep Gossip
由: Bram

Deep Map Country
由: Maher

Tracks in Deep Time
由: Milner

Deep in the Piney Woods
由: Brown

Real-Time Image Processing and Deep Learning 2023

Real-Time Image Processing and Deep Learning 2021

Real-Time Image Processing and Deep Learning 2019

Real-Time Image Processing and Deep Learning 2022

Real-Time Image Processing and Deep Learning 2020

Proceedings of the Linguistic Annotation Workshop

Creatures of the deep : in search of the sea's monsters and the world they live in /
由: Hoyt, Erich
出版: (2001)

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

Proceedings of the 1st Workshop on Distributed Infrastructures for Deep Learning

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems

Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop

Canto hondo / Deep Song

Deep Woods, Wild Waters
由: Wood

Plants of Deep South Texas
由: Richardson

Breadlines Knee-Deep in Wheat
由: Poppendieck

Across the Deep Blue Sea
由: Lovoll

Deep Time, Dark Times
由: Wood

Diving deep, going far.
由: Block, Menno De
出版: (2018)

The narrow road to the deep north.
由: Flanagan, Richard
出版: (2014)

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning

Proceedings of the 4th International Workshop on Embedded and Mobile Deep Learning

Proceedings of the 6th International Workshop on Embedded and Mobile Deep Learning

Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning

Proceedings of the Fifth Workshop on Distributed Infrastructures for Deep Learning (DIDL) 2021