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USB: A Unified Semi-supervised Learning Benchmark for Classification. (arXiv:2208.07204v2 [cs.LG] UPDATED)
cs.CV updates on arXiv.org arxiv.org
Semi-supervised learning (SSL) improves model generalization by leveraging
massive unlabeled data to augment limited labeled samples. However, currently,
popular SSL evaluation protocols are often constrained to computer vision (CV)
tasks. In addition, previous work typically trains deep neural networks from
scratch, which is time-consuming and environmentally unfriendly. To address the
above issues, we construct a Unified SSL Benchmark (USB) for classification by
selecting 15 diverse, challenging, and comprehensive tasks from CV, natural
language processing (NLP), and audio processing (Audio), on …
arxiv benchmark classification semi-supervised semi-supervised learning supervised learning usb