Title | ||
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Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation |
Abstract | ||
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The generalization power of deep-learning models is dependent on rich-labelled data. This supervision using large-scaled annotated information is restrictive in most realworld scenarios where data collection and their annotation involve huge cost. Various domain adaptation techniques exist in literature that bridge this distribution discrepancy. However, a majority of these models require the labe... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/IEEECONF51394.2020.9443420 | 2020 54th Asilomar Conference on Signals, Systems, and Computers |
Keywords | DocType | ISBN |
Computers,Bridges,Adaptation models,Annotations,Computational modeling,Data collection,Benchmark testing | Conference | 978-0-7381-3126-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sandipan Choudhuri | 1 | 0 | 0.34 |
Riti Paul | 2 | 0 | 0.34 |
Arunabha Sen | 3 | 859 | 118.33 |
Baoxin Li | 4 | 1017 | 94.72 |
Hemanth Venkateswara | 5 | 23 | 9.72 |