An overview of semi supervised learning, weakly-supervised learning, unsupervised learning, and active learning. Focused on recent deep learning-based image recognition approaches.Read less
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Semi-supervised learning (SSL) provides an effective means of leveraging unlabeled data to improve a model's performance. In this paper, we demonstrate the power of a simple combination of two common SSL methods: consistency regularization and pseudo-labeling. Our algorithm, FixMatch, first generates pseudo-labels using the model's predictions on weakly-augmented unlabeled images. For a given imag
Word2vec for audio quantizes phonemes, transforms, GAN trains on text and audio from Facebook AI. JS disabled! Watch Wav2vec: Semi-supervised and Unsupervised Speech Recognition on Youtube Watch video "Wav2vec: Semi-supervised and Unsupervised Speech Recognition" Wav2vec is fascinating in that it combines several neural network architectures and methods: CNN, transformer, quantization, and GAN tra
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