Jeremy Howard

According to our database, Jeremy Howard authored at least 10 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms.

Yuqing He, Francesco Tiezzi, Jeremy Howard, Christian Maltecca

Comput. Electron. Agric., 2021

2020

Fastai: A Layered API for Deep Learning.

Jeremy Howard, Sylvain Gugger

Inf., 2020

2019

Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction.

Bobak Farzin, Piotr Czapla, Jeremy Howard

Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning.

Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Universal Language Model Fine-Tuning with Subword Tokenization for Polish.

Piotr Czapla, Jeremy Howard, Marcin Kardas

CoRR, 2018

The Matrix Calculus You Need For Deep Learning.

Terence Parr, Jeremy Howard

CoRR, 2018

Fine-tuned Language Models for Text Classification.

Jeremy Howard, Sebastian Ruder

CoRR, 2018

Universal Language Model Fine-tuning for Text Classification.

Jeremy Howard, Sebastian Ruder

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2014

Predictive modeling in practice: a case study from sprint.

Tracy De Poalo, Jeremy Howard

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

The business impact of deep learning.

Jeremy Howard

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013