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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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2 results for “contradistinguish”

Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptationcs.LG

Contradistinguisher learns to distinguish target domain without aligning source and target domains.

problem Difficulty in aligning source and target domains for domain adaptation.

method Direct approach to unsupervised domain adaptation that learns contrastive features and improves classification performance.

result Achieves state-of-the-art performance on Office-31 and VisDA-2017 datasets.

domain adaptation unsupervised learning Vapnik's imperative contrastive features statistical learning

2020-05-25abs ↗pdf ↗

CUDA: Contradistinguisher for Unsupervised Domain Adaptationcs.LG

CUDA CTDR tackles unsupervised domain adaptation without domain alignment.

problem Lack of direct methods for unlabeled target domain classification.

method Jointly learns CTDR on source and target distributions using contradistinguish loss and supervised loss.

result CUDA CTDR achieves state-of-the-art results on various domain adaptation datasets.

unsupervised domain adaptation domain alignment contradistinguish CUDA CTDR

2019-09-08abs ↗pdf ↗