Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892375480> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2892375480 abstract "In the real world, a learning system could receive an input that looks nothing like anything it has seen during training, and this can lead to unpredictable behaviour. We thus need to know whether any given input belongs to the population distribution of the training data to prevent unpredictable behaviour in deployed systems. A recent surge of interest on this problem has led to the development of sophisticated techniques in the deep learning literature. However, due to the absence of a standardized problem formulation or an exhaustive evaluation, it is not evident if we can rely on these methods in practice. What makes this problem different from a typical supervised learning setting is that we cannot model the diversity of out-of-distribution samples in practice. The distribution of outliers used in training may not be the same as the distribution of outliers encountered in the application. Therefore, classical approaches that learn inliers vs. outliers with only two datasets can yield optimistic results. We introduce OD-test, a three-dataset evaluation scheme as a practical and more reliable strategy to assess progress on this problem. The OD-test benchmark provides a straightforward means of comparison for methods that address the out-of-distribution sample detection problem. We present an exhaustive evaluation of a broad set of methods from related areas on image classification tasks. Furthermore, we show that for realistic applications of high-dimensional images, the existing methods have low accuracy. Our analysis reveals areas of strength and weakness of each method." @default.
- W2892375480 created "2018-09-27" @default.
- W2892375480 creator A5007777373 @default.
- W2892375480 creator A5010139488 @default.
- W2892375480 creator A5078801359 @default.
- W2892375480 date "2018-09-13" @default.
- W2892375480 modified "2023-09-23" @default.
- W2892375480 title "Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of Outlier Detectors" @default.
- W2892375480 hasPublicationYear "2018" @default.
- W2892375480 type Work @default.
- W2892375480 sameAs 2892375480 @default.
- W2892375480 citedByCount "27" @default.
- W2892375480 countsByYear W28923754802018 @default.
- W2892375480 countsByYear W28923754802019 @default.
- W2892375480 countsByYear W28923754802020 @default.
- W2892375480 countsByYear W28923754802021 @default.
- W2892375480 countsByYear W28923754802022 @default.
- W2892375480 crossrefType "posted-content" @default.
- W2892375480 hasAuthorship W2892375480A5007777373 @default.
- W2892375480 hasAuthorship W2892375480A5010139488 @default.
- W2892375480 hasAuthorship W2892375480A5078801359 @default.
- W2892375480 hasConcept C119857082 @default.
- W2892375480 hasConcept C124101348 @default.
- W2892375480 hasConcept C13280743 @default.
- W2892375480 hasConcept C144024400 @default.
- W2892375480 hasConcept C149923435 @default.
- W2892375480 hasConcept C153180895 @default.
- W2892375480 hasConcept C154945302 @default.
- W2892375480 hasConcept C177264268 @default.
- W2892375480 hasConcept C185592680 @default.
- W2892375480 hasConcept C185798385 @default.
- W2892375480 hasConcept C198531522 @default.
- W2892375480 hasConcept C199360897 @default.
- W2892375480 hasConcept C205649164 @default.
- W2892375480 hasConcept C2908647359 @default.
- W2892375480 hasConcept C41008148 @default.
- W2892375480 hasConcept C43617362 @default.
- W2892375480 hasConcept C739882 @default.
- W2892375480 hasConcept C79337645 @default.
- W2892375480 hasConceptScore W2892375480C119857082 @default.
- W2892375480 hasConceptScore W2892375480C124101348 @default.
- W2892375480 hasConceptScore W2892375480C13280743 @default.
- W2892375480 hasConceptScore W2892375480C144024400 @default.
- W2892375480 hasConceptScore W2892375480C149923435 @default.
- W2892375480 hasConceptScore W2892375480C153180895 @default.
- W2892375480 hasConceptScore W2892375480C154945302 @default.
- W2892375480 hasConceptScore W2892375480C177264268 @default.
- W2892375480 hasConceptScore W2892375480C185592680 @default.
- W2892375480 hasConceptScore W2892375480C185798385 @default.
- W2892375480 hasConceptScore W2892375480C198531522 @default.
- W2892375480 hasConceptScore W2892375480C199360897 @default.
- W2892375480 hasConceptScore W2892375480C205649164 @default.
- W2892375480 hasConceptScore W2892375480C2908647359 @default.
- W2892375480 hasConceptScore W2892375480C41008148 @default.
- W2892375480 hasConceptScore W2892375480C43617362 @default.
- W2892375480 hasConceptScore W2892375480C739882 @default.
- W2892375480 hasConceptScore W2892375480C79337645 @default.
- W2892375480 hasLocation W28923754801 @default.
- W2892375480 hasOpenAccess W2892375480 @default.
- W2892375480 hasPrimaryLocation W28923754801 @default.
- W2892375480 hasRelatedWork W1959608418 @default.
- W2892375480 hasRelatedWork W2099471712 @default.
- W2892375480 hasRelatedWork W2108598243 @default.
- W2892375480 hasRelatedWork W2112796928 @default.
- W2892375480 hasRelatedWork W2122646361 @default.
- W2892375480 hasRelatedWork W2194775991 @default.
- W2892375480 hasRelatedWork W2335728318 @default.
- W2892375480 hasRelatedWork W2531327146 @default.
- W2892375480 hasRelatedWork W2750384547 @default.
- W2892375480 hasRelatedWork W2867167548 @default.
- W2892375480 hasRelatedWork W2904981516 @default.
- W2892375480 hasRelatedWork W2913300775 @default.
- W2892375480 hasRelatedWork W2963238274 @default.
- W2892375480 hasRelatedWork W2963546708 @default.
- W2892375480 hasRelatedWork W2963693742 @default.
- W2892375480 hasRelatedWork W2964059111 @default.
- W2892375480 hasRelatedWork W2964212410 @default.
- W2892375480 hasRelatedWork W2969609970 @default.
- W2892375480 hasRelatedWork W2970946347 @default.
- W2892375480 hasRelatedWork W3118608800 @default.
- W2892375480 isParatext "false" @default.
- W2892375480 isRetracted "false" @default.
- W2892375480 magId "2892375480" @default.
- W2892375480 workType "article" @default.