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Arslan Chaudhry1
, Marc’Aurelio Ranzato2
, Marcus Rohrbach2
, Mohamed Elhoseiny2
1University of Oxford, 2Facebook AI Research [email protected], {ranzato,mrf,elhoseiny}@fb.com
投稿日付(yyyy/MM/dd)
[v1] Sun, 2 Dec 2018 16:39:19 UTC (4,882 KB)
概要
新規性・差分
手法
結果
コメント
The text was updated successfully, but these errors were encountered:
WIP
一言でいうと
GEMのメモリ効率と計算コストを改善した高速化ver.
加えて,LCA (Learning curve Area) の提案
GEMでは,「忘却していないか」の指標のみだったのに対し,LCAによって新たなTaskへどれだけ適応できているかを評価可能になった
論文リンク
https://openreview.net/forum?id=Hkf2_sC5FX
https://arxiv.org/pdf/1812.00420.pdf
著者/所属機関
Arslan Chaudhry1
, Marc’Aurelio Ranzato2
, Marcus Rohrbach2
, Mohamed Elhoseiny2
1University of Oxford, 2Facebook AI Research
[email protected], {ranzato,mrf,elhoseiny}@fb.com
投稿日付(yyyy/MM/dd)
[v1] Sun, 2 Dec 2018 16:39:19 UTC (4,882 KB)
概要
新規性・差分
手法
結果
コメント
The text was updated successfully, but these errors were encountered: