Score Matching, Toy Datasets, and JAX
Mon 31 October 2022
Exploring the score matching technique on the ring dataset with JAX
Speed and power: fine-tuning distilled transformers models
Thu 25 February 2021
Leaner and faster Transformers with distillation. Fine-tuning BERT-tiny in a couple of minutes with PyTorch.
Multi-label classification with BERT
Fri 29 January 2021
Fine-tuning DistillBERT to tag toxic comments on Wikipedia, using TensorFlow and Hugging Face's transformers library.
Understanding the SHAP interpretation method: Kernel SHAP
Sat 29 February 2020
Exploring the mechanics of the SHAP feature attribution method with toy examples. Presentation of Kernel SHAP.
Understanding the SHAP interpretation method: Shapley values
Fri 27 December 2019
Exploring the mechanics of the SHAP feature attribution method with toy examples. Presentation of Shapley values.
Few-shot learning in NLP: many-classes classification from few examples
Sun 19 August 2018
Learning multi-class classification with only a handful of of examples per class may seem impossible at first, let's see how we can tackle this problem with textual data.
LIME of words: interpreting Recurrent Neural Networks predictions
Tue 12 September 2017
Playing with the LIME machine learning model interpretion part 2: deep learning.
LIME of words: how to interpret your machine learning model predictions
Mon 07 August 2017
Playing with the LIME machine learning model interpretation tool.