Transcription of Self-Prediction and Contrastive Learning
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Self-Prediction and Contrastive Learning
self -Supervised LearningSelf-Prediction and Contrastive LearningLilian Weng, Jong Wook KimNeurIPS 2021 Tutorial Introduction: motivation, basic concepts, examples. Early work: look into connection with old methods. Methods Self-Prediction Contrastive Learning Pretext tasks: a wide range of literature review. Techniques: improve training efficiency. Future directionsOutline2 IntroductionWhat is self -supervised Learning and why we need it?3 self -Supervised Learning (SSL) is a special type of representation Learning that enables Learning good data representation from unlabelled is motivated by the idea of constructing supervised Learning tasks out of unsupervised is self -Supervised Learning ?
Self-supervised learning tasks are also known as pretext tasks. What is Self-Supervised Learning? 5. Video colorization (Vondrick et al 2018), as a self-supervised learning method, resulting ... Diffusion modeling: Follows a Markov chain of diffusion steps to slowly add random noise to data and then learn to reverse the diffusion process to ...
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