FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3138154078> ?p ?o ?g. }

• W3138154078 abstract "Despite the extensive successes of deep learning, designing effective neural networks remains an unsolved challenge in deep learning. The complexity of interactions between all the network hyperparameters such as activation type, layer size, number of layers, and connection patterns is far beyond current understanding. As a result, designing an effective neural network can be as much art as it is science. To that end, neural architecture search aims to automate the task of network design; however, many neural architecture search systems are not feasible for the typical research institution due to the high cost of operation. In this work we propose two simple techniques that have a dramatic impact on search cost, achieving as much as a 900% speed-up in per generation training time, with minimal impact on the efficacy of the search algorithm. Similarly, we achieve a 50% reduction in search time without sacrificing any performance." @default.
• W3138154078 created "2021-03-29" @default.
• W3138154078 creator A5045581483 @default.
• W3138154078 creator A5090034482 @default.
• W3138154078 date "2021-01-27" @default.
• W3138154078 modified "2023-10-06" @default.
• W3138154078 title "Efficient Evolution of Variational Autoencoders" @default.
• W3138154078 cites W1582774210 @default.
• W3138154078 cites W1921523184 @default.
• W3138154078 cites W1959608418 @default.
• W3138154078 cites W2025768430 @default.
• W3138154078 cites W2034978228 @default.
• W3138154078 cites W2038794597 @default.
• W3138154078 cites W2099471712 @default.
• W3138154078 cites W2145094598 @default.
• W3138154078 cites W2163605009 @default.
• W3138154078 cites W2183341477 @default.
• W3138154078 cites W2194775991 @default.
• W3138154078 cites W2593744649 @default.
• W3138154078 cites W2594529350 @default.
• W3138154078 cites W2606722458 @default.
• W3138154078 cites W2750384547 @default.
• W3138154078 cites W2778749116 @default.
• W3138154078 cites W2810075754 @default.
• W3138154078 cites W2868052580 @default.
• W3138154078 cites W2899771611 @default.
• W3138154078 cites W2902986194 @default.
• W3138154078 cites W2902994895 @default.
• W3138154078 cites W2939673928 @default.
• W3138154078 cites W2962746461 @default.
• W3138154078 cites W2963136578 @default.
• W3138154078 cites W2963137684 @default.
• W3138154078 cites W2963285940 @default.
• W3138154078 cites W2963374479 @default.
• W3138154078 cites W2963778169 @default.
• W3138154078 cites W2964121744 @default.
• W3138154078 cites W2966048283 @default.
• W3138154078 cites W603908379 @default.
• W3138154078 cites W939280201 @default.
• W3138154078 doi "https://doi.org/10.1109/ccwc51732.2021.9376167" @default.
• W3138154078 hasPublicationYear "2021" @default.
• W3138154078 type Work @default.
• W3138154078 sameAs 3138154078 @default.
• W3138154078 citedByCount "0" @default.
• W3138154078 crossrefType "proceedings-article" @default.
• W3138154078 hasAuthorship W3138154078A5045581483 @default.
• W3138154078 hasAuthorship W3138154078A5090034482 @default.
• W3138154078 hasConcept C108583219 @default.
• W3138154078 hasConcept C111335779 @default.
• W3138154078 hasConcept C111472728 @default.
• W3138154078 hasConcept C11413529 @default.
• W3138154078 hasConcept C119857082 @default.
• W3138154078 hasConcept C123657996 @default.
• W3138154078 hasConcept C125583679 @default.
• W3138154078 hasConcept C127413603 @default.
• W3138154078 hasConcept C138885662 @default.
• W3138154078 hasConcept C142362112 @default.
• W3138154078 hasConcept C153349607 @default.
• W3138154078 hasConcept C154945302 @default.
• W3138154078 hasConcept C162324750 @default.
• W3138154078 hasConcept C178790620 @default.
• W3138154078 hasConcept C185592680 @default.
• W3138154078 hasConcept C187736073 @default.
• W3138154078 hasConcept C193415008 @default.
• W3138154078 hasConcept C201995342 @default.
• W3138154078 hasConcept C2524010 @default.
• W3138154078 hasConcept C2778820799 @default.
• W3138154078 hasConcept C2779227376 @default.
• W3138154078 hasConcept C2780451532 @default.
• W3138154078 hasConcept C2780586882 @default.
• W3138154078 hasConcept C33923547 @default.
• W3138154078 hasConcept C38652104 @default.
• W3138154078 hasConcept C41008148 @default.
• W3138154078 hasConcept C50644808 @default.
• W3138154078 hasConcept C8642999 @default.
• W3138154078 hasConceptScore W3138154078C108583219 @default.
• W3138154078 hasConceptScore W3138154078C111335779 @default.
• W3138154078 hasConceptScore W3138154078C111472728 @default.
• W3138154078 hasConceptScore W3138154078C11413529 @default.
• W3138154078 hasConceptScore W3138154078C119857082 @default.
• W3138154078 hasConceptScore W3138154078C123657996 @default.
• W3138154078 hasConceptScore W3138154078C125583679 @default.
• W3138154078 hasConceptScore W3138154078C127413603 @default.
• W3138154078 hasConceptScore W3138154078C138885662 @default.
• W3138154078 hasConceptScore W3138154078C142362112 @default.
• W3138154078 hasConceptScore W3138154078C153349607 @default.
• W3138154078 hasConceptScore W3138154078C154945302 @default.
• W3138154078 hasConceptScore W3138154078C162324750 @default.
• W3138154078 hasConceptScore W3138154078C178790620 @default.
• W3138154078 hasConceptScore W3138154078C185592680 @default.
• W3138154078 hasConceptScore W3138154078C187736073 @default.
• W3138154078 hasConceptScore W3138154078C193415008 @default.
• W3138154078 hasConceptScore W3138154078C201995342 @default.
• W3138154078 hasConceptScore W3138154078C2524010 @default.
• W3138154078 hasConceptScore W3138154078C2778820799 @default.
• W3138154078 hasConceptScore W3138154078C2779227376 @default.
• W3138154078 hasConceptScore W3138154078C2780451532 @default.
• W3138154078 hasConceptScore W3138154078C2780586882 @default.
• W3138154078 hasConceptScore W3138154078C33923547 @default.
• W3138154078 hasConceptScore W3138154078C38652104 @default.

• next