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Explore the concept of Supermasks in neural networks with Yannic Kilcher. Learn about Lifelong Learning, Task Discrimination by Entropy, and Mask Superpositions in a 1-2 hour study.
Explore SpineNet's architecture and its impact on recognition and localization in this under 1-hour material by Yannic Kilcher. Delve into neural architecture search, up- and downsampling, and more.
Explore the connection between autoregressive transformers and RNNs in this under 1-hour material by Yannic Kilcher. Learn about linear attention, kernel functions, and their impact on AI performance.
Explore how BERT models interpret protein sequences in this under 1-hour study by Yannic Kilcher, revealing higher-order biological properties of proteins.
Explore Google's 600 billion parameter transformer for multilingual machine translation in this 1-2 hour study by Yannic Kilcher. Learn about scaling, parallel computations, and more.
Explore object-centric learning with Yannic Kilcher's under 1-hour material, focusing on slot attention architecture, algorithm, and its broader impact. Ideal for supervised and unsupervised settings.
Explore generative models for sets of images with Yannic Kilcher's under 1-hour study of a paper on Set Distribution Networks, including architecture, optimization, and results.
Explore the biologically plausible alternative to backpropagation, Direct Feedback Alignment, in this less than 1-hour material by Yannic Kilcher. Understand its application to modern deep architectures.
Explore symbolic models from deep learning with Yannic Kilcher. Understand Graph Networks, symbolic regression, and how to derive symbolic equations from observation data in under an hour.
Yannic Kilcher offers a concise tutorial on understanding Facebook AI's DETR paper, covering aspects like title, authors, abstract, model, and conclusions in under an hour.
Explore Yannic Kilcher's concise guide to RepNet, a model for counting repeated actions in videos. Learn about per-frame embeddings, self-similarity matrices, and more in under an hour.
Explore implicit neural representations and SIRENs with Yannic Kilcher in under an hour. Learn to represent complex signals like images, sound, and 3D shapes differently.
Explore SimCLRv2's benefits in semi-supervised learning with Yannic Kilcher in under an hour. Learn about pre-training, contrastive loss, supervised fine-tuning, and more.
Explore the relationship between intelligence, skill, experience, and prior knowledge in humans and AI systems in this in-depth study by Yannic Kilcher. Less than 1 hour.
Explore the application of NLP principles to image pre-training in this under 1-hour material by Yannic Kilcher. Learn about generative models, visual tasks, and model architecture.
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