The business impact of deep learning. - Jeremy Howard (KDD, 2013)

Predictive modeling in practice: a case study from sprint. - Tracy De Poalo; Jeremy Howard (KDD, 2014)

Universal Language Model Fine-tuning for Text Classification. - Jeremy Howard; Sebastian Ruder (ACL (1), 2018)

Fine-tuned Language Models for Text Classification. - Jeremy Howard; Sebastian Ruder (CoRR, 2018)

The Matrix Calculus You Need For Deep Learning. - Terence Parr; Jeremy Howard (CoRR, 2018)

Universal Language Model Fine-Tuning with Subword Tokenization for Polish. - Piotr Czapla; Jeremy Howard; Marcin Kardas (CoRR, 2018)

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. - Julian Eisenschlos; Sebastian Ruder; Piotr Czapla; Marcin Kardas; Sylvain Gugger; Jeremy Howard (EMNLP/IJCNLP (1), 2019)

Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction. - Bobak Farzin; Piotr Czapla; Jeremy Howard (IberLEF@SEPLN, 2019)

Fastai: A Layered API for Deep Learning. - Jeremy Howard; Sylvain Gugger (Inf., 2020)

Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms. - Yuqing He; Francesco Tiezzi 002; Jeremy Howard; Christian Maltecca (Comput. Electron. Agric., 2021)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Nathan Cooper; Griffin Adams; et al. (CoRR, 2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Griffin Thomas Adams; Jeremy Howard; et al. (ACL (1), 2025)