AI Weekly Update Preview - March 8th, 2020

Thank you so much to everyone who has shown support and interest in bringing back the AI Weekly Update series. Here is a preview for the return, I hope these quick overviews are useful to those looking to get ahead of it and find some interesting reading over the Weekend! Content Links: Multimodal Neurons: https://openai.com/blog/multimodal-neurons/ Wikipedia Image-Text Dataset: https://arxiv.org/pdf/2103.01913.pdf Self-Supervised Learning: The Dark Matter of Intelligence: https://ai.facebook.com/blog/self-supervised-learning-the-dark-matter-of-intelligence Principles for Tackling Distribution Shift: https://www.youtube.com/watch?v=QKBh6TmvBaw Do Transformer Modifications Transfer? https://arxiv.org/abs/2102.11972 Transformer in Transformer: https://arxiv.org/abs/2103.00112 Generative Adversarial Transformers: https://arxiv.org/pdf/2103.01209.pdf Ultra Data-Efficient GAN Training: https://arxiv.org/abs/2103.00397 VisualCheXbert: https://arxiv.org/pdf/2102.11467.pdf Whole cell-segmentation: https://twitter.com/NoahGreenwald/status/1367143806672326658 Molecular Translation Kaggle Competition: https://www.kaggle.com/c/bms-molecular-translation Predicting Video with VQ-VAE: https://arxiv.org/pdf/2103.01950.pdf Towards Causal Representation Learning: https://arxiv.org/pdf/2102.11107.pdf Adaptive Consistency Regularization for Semi-Supervised Transfer Learning: https://arxiv.org/pdf/2103.02193.pdf AutoML for Genomics: https://arxiv.org/pdf/2103.03221.pdf Perceiver: https://arxiv.org/pdf/2103.03206.pdf Data Aug for Obj. Detect with Differentiable Neural Rendering: https://arxiv.org/pdf/2103.02852.pdf Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings: https://arxiv.org/pdf/2103.02886.pdf State-of-the-art Image Generative Models: https://arankomatsuzaki.wordpress.com/2021/03/04/state-of-the-art-image-generative-models/ Thanks for watching, I look forward to learning about this stuff and making the next AI Weekly Update on March 8th!