![[CS6101] W9 « Recap and Summary / Semi Supervised Learning / GPT-2 « Deep Unsupervised Learning](https://i.ytimg.com/vi/FmDS_-fBDmQ/mqdefault.jpg)
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Last Updated: October 18, 2026
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Quick recap Q&A About VAE: Inputs Sampling Why guassians KL-divergence loss Exercise: build VAE in Pytorch. Course homepage: sites.google.com/view/berkeley-cs294-158-sp20/home Lecture Instructors: Aravind Srinivas, Peter ... Weak supervision techniques Psuedo-labeling MixUp Co-training Co-teaching Co-training Snorkel Other Weak labels Weak supervision techniques Self-training Colorization Jigsaw Exemplar network. Exercise: Attention MIL Pooling MILAttention model MNIST_BAG dataset (more advanced option: Camelyon PCam dataset) ... VaDE continued: training, results Week 2 exercise Other clustering techniques: DAC DEC CatGAN InfoGAN Non-parametric ...
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