.. blogpost:: :title: Quelques articles intéressants :keywords: deep learning :date: 2022-07-17 :categories: articles Deep Learning * `Training Deep Networks without Learning Rates Through Coin Betting `_ * `Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice `_ * `On Embeddings for Numerical Features in Tabular Deep Learning `, `TABULAR DATA MODELING VIA CONTEXTUAL EMBEDDINGS `_ * `MLGO: a Machine Learning Guided Compiler Optimizations Framework `_ * `Embedding Recycling for Language Models `_ * `Language Modelling with Pixels `_ * `XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale `_ * `Emerging Cross-lingual Structure in Pretrained Language Models `_ * `Word Translation Without Parallel Data `_ * `Very Deep Convolutional Networks for Text Classification `_ * `XTREME-S: Evaluating Cross-lingual Speech Representations `_ * `DeepSpeed Compression: A composable library for extreme compression and zero-cost quantization `_ * `Towards Robust Deep Learning using Entropic Losses `_ * `Few-shot Learning with Retrieval Augmented Language Models `_ * `Multi-instrument Music Synthesis with Spectrogram Diffusion `_ Machine Learning * `On the consistency of supervised learning with missing values `_ * `Why do tree-based models still outperform deep learning on tabular data? `_ * `Evaluating machine learning models and their diagnostic value `_ Ecologie * `Measuring the Carbon Intensity of AI in Cloud Instances `_ Un site * `paperwithcode `_ Librairies * `TorchArrow `_ Un benchmark * `MIXED PRECISION TRAINING IN PRACTICE `_ Autres articles * `On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence `_ * `Shift-Curvature, SGD, and Generalization `_