Litcius/Paper detail

Greedy-layer pruning: Speeding up transformer models for natural language processing

David Peer, Sebastian Stabinger, Stefan Engl, Antonio Rodrı́guez-Sánchez

2022Pattern Recognition Letters34 citationsDOIOpen Access PDF

Topics & Concepts

SpeedupComputer scienceTransformerPruningDistillationInferenceLanguage modelArtificial intelligenceMachine learningParallel computingAgronomyVoltageQuantum mechanicsOrganic chemistryChemistryPhysicsBiologyTopic ModelingAdvanced Neural Network ApplicationsMultimodal Machine Learning Applications
Greedy-layer pruning: Speeding up transformer models for natural language processing | Litcius