RanDumb: a simple approach that questions the efficacy of continual representation learning

<p>We propose RanDumb to examine the efficacy of continual representation learning. RanDumb embeds raw pixels using a fixed random transform which approximates an RBF-Kernel, initialized before seeing any data, and learns a simple linear classifier on top. We present a surprising and consisten...

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Bibliografski detalji
Glavni autori: Prabhu, A, Sinha, S, Kumaraguru, P, Torr, PHS, Sener, O, Dokania, PK
Format: Conference item
Jezik:English
Izdano: Neural Information Processing Systems 2025