Matches in SemOpenAlex for { <https://semopenalex.org/work/W4284670079> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4284670079 abstract "In the era of big data, eXtreme Multi-label Classification (XMC) has already become one of the most essential research tasks to deal with enormous label spaces in machine learning applications. Instead of assessing every individual label, most XMC methods rely on label trees or filters to derive short ranked label lists as prediction, thereby reducing computational overhead. Specifically, existing studies obtain ranked label lists with a fixed length for prediction and evaluation. However, these predictions are unreasonable since data points have varied numbers of relevant labels. The greatly small and large list lengths in evaluation, such as [email protected] and [email protected], can also lead to the ignorance of other relevant labels or the tolerance of many irrelevant labels. In this paper, we aim to provide reasonable prediction for extreme multi-label classification with dynamic numbers of predicted labels. In particular, we propose a novel framework, Model-Agnostic List Truncation with Ordinal Regression (MALTOR), to leverage the ranking properties and truncate long ranked label lists for better accuracy. Extensive experiments conducted on six large-scale real-world benchmark datasets demonstrate that MALTOR significantly outperforms statistical baseline methods and conventional ranked list truncation methods in ad-hoc retrieval with both linear and deep XMC models. The results of an ablation study also shows the effectiveness of each individual component in our proposed MALTOR." @default.
- W4284670079 created "2022-07-08" @default.
- W4284670079 creator A5006559148 @default.
- W4284670079 creator A5010841999 @default.
- W4284670079 creator A5023183059 @default.
- W4284670079 creator A5048749901 @default.
- W4284670079 creator A5083371477 @default.
- W4284670079 date "2022-07-06" @default.
- W4284670079 modified "2023-10-02" @default.
- W4284670079 title "Relevance under the Iceberg" @default.
- W4284670079 cites W2023508744 @default.
- W4284670079 cites W2050028283 @default.
- W4284670079 cites W214995755 @default.
- W4284670079 cites W2153758664 @default.
- W4284670079 cites W2520348554 @default.
- W4284670079 cites W2743021690 @default.
- W4284670079 cites W2783863635 @default.
- W4284670079 cites W2788125153 @default.
- W4284670079 cites W2921113176 @default.
- W4284670079 cites W2976611402 @default.
- W4284670079 cites W3007517974 @default.
- W4284670079 cites W3012593211 @default.
- W4284670079 cites W3035282196 @default.
- W4284670079 cites W3080802002 @default.
- W4284670079 cites W3172352177 @default.
- W4284670079 cites W4290877723 @default.
- W4284670079 doi "https://doi.org/10.1145/3477495.3531767" @default.
- W4284670079 hasPublicationYear "2022" @default.
- W4284670079 type Work @default.
- W4284670079 citedByCount "1" @default.
- W4284670079 countsByYear W42846700792023 @default.
- W4284670079 crossrefType "proceedings-article" @default.
- W4284670079 hasAuthorship W4284670079A5006559148 @default.
- W4284670079 hasAuthorship W4284670079A5010841999 @default.
- W4284670079 hasAuthorship W4284670079A5023183059 @default.
- W4284670079 hasAuthorship W4284670079A5048749901 @default.
- W4284670079 hasAuthorship W4284670079A5083371477 @default.
- W4284670079 hasBestOaLocation W42846700791 @default.
- W4284670079 hasConcept C119857082 @default.
- W4284670079 hasConcept C124101348 @default.
- W4284670079 hasConcept C153083717 @default.
- W4284670079 hasConcept C154945302 @default.
- W4284670079 hasConcept C189430467 @default.
- W4284670079 hasConcept C2776482837 @default.
- W4284670079 hasConcept C41008148 @default.
- W4284670079 hasConcept C70437156 @default.
- W4284670079 hasConcept C86037889 @default.
- W4284670079 hasConceptScore W4284670079C119857082 @default.
- W4284670079 hasConceptScore W4284670079C124101348 @default.
- W4284670079 hasConceptScore W4284670079C153083717 @default.
- W4284670079 hasConceptScore W4284670079C154945302 @default.
- W4284670079 hasConceptScore W4284670079C189430467 @default.
- W4284670079 hasConceptScore W4284670079C2776482837 @default.
- W4284670079 hasConceptScore W4284670079C41008148 @default.
- W4284670079 hasConceptScore W4284670079C70437156 @default.
- W4284670079 hasConceptScore W4284670079C86037889 @default.
- W4284670079 hasLocation W42846700791 @default.
- W4284670079 hasOpenAccess W4284670079 @default.
- W4284670079 hasPrimaryLocation W42846700791 @default.
- W4284670079 hasRelatedWork W1786507113 @default.
- W4284670079 hasRelatedWork W2293317945 @default.
- W4284670079 hasRelatedWork W2404314460 @default.
- W4284670079 hasRelatedWork W2499321295 @default.
- W4284670079 hasRelatedWork W2954428433 @default.
- W4284670079 hasRelatedWork W2980357123 @default.
- W4284670079 hasRelatedWork W3017018726 @default.
- W4284670079 hasRelatedWork W4318960487 @default.
- W4284670079 hasRelatedWork W4323349240 @default.
- W4284670079 hasRelatedWork W4378713513 @default.
- W4284670079 isParatext "false" @default.
- W4284670079 isRetracted "false" @default.
- W4284670079 workType "article" @default.