Digest 2022-02 # ML Few-Shot NER, или Как перестать размечать и начать жить - habr.com/ru/comp…g/649609 Applying Differential Privacy to Large Scale Image Classification - ai.googleblog.com/2022/02…rge.html Controlling Neural Networks with Rule Representations - ai.googleblog.com/2022/01…ule.html imodels: leveraging the unreasonable effectiveness of rules - bair.berkeley.edu/blog/20…/imodels FIGS: Fast Interpretable Greedy-Tree Sums - https://demos.csinva.io/figs/ DeepMind makes a (kinda) smart AI programmer, called AlphaCode: - storage.googleapis.com/deepmin…code.pdf Announcing GPT-NeoX-20B - https://blog.eleuther.ai/announcing-20b/ Datasets Have Worldviews - pair.withgoogle.com/explora…rldviews Nested Hierarchical Transformer: Towards Accurate, Data-Efficient, and Interpretable Visual Understanding - ai.googleblog.com/2022/02…rds.html Guiding Frozen Language Models with Learned Soft Prompts - ai.googleblog.com/2022/02…ith.html Embeddings from the Ground Up - www.singlelunch.com/2020/02…round-up Проблемы современного машинного обучения - https://habr.com/ru/company/ods/blog/651103/ Decisions and Pivots on PyTorch - https://soumith.ch/posts/2022/01/pytorch-retro/ Accelerating fusion science through learned plasma control - deepmind.com/blog/ar…-control Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework - https://arxiv.org/abs/2202.06767 CLIPasso: Semantically-Aware Object Sketching - https://clipasso.github.io/clipasso/ #digest