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2020 – today
- 2021
[j2]Yuqing He, Francesco Tiezzi
, Jeremy Howard, Christian Maltecca:
Predicting body weight in growing pigs from feeding behavior data using machine learning algorithms. Comput. Electron. Agric. 184: 106085 (2021)- 2020
- [j1]Jeremy Howard, Sylvain Gugger:
Fastai: A Layered API for Deep Learning. Inf. 11(2): 108 (2020) - [i6]Jeremy Howard, Sylvain Gugger:
fastai: A Layered API for Deep Learning. CoRR abs/2002.04688 (2020)
2010 – 2019
- 2019
- [c5]Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard:
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. EMNLP/IJCNLP (1) 2019: 5701-5706 - [c4]Bobak Farzin, Piotr Czapla, Jeremy Howard:
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction. IberLEF@SEPLN 2019: 172-179 - [i5]Bobak Farzin, Piotr Czapla, Jeremy Howard:
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction. CoRR abs/1907.03187 (2019) - [i4]Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard:
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. CoRR abs/1909.04761 (2019) - 2018
- [c3]Jeremy Howard, Sebastian Ruder:
Universal Language Model Fine-tuning for Text Classification. ACL (1) 2018: 328-339 - [i3]Jeremy Howard, Sebastian Ruder:
Fine-tuned Language Models for Text Classification. CoRR abs/1801.06146 (2018) - [i2]Terence Parr, Jeremy Howard:
The Matrix Calculus You Need For Deep Learning. CoRR abs/1802.01528 (2018) - [i1]Piotr Czapla, Jeremy Howard, Marcin Kardas:
Universal Language Model Fine-Tuning with Subword Tokenization for Polish. CoRR abs/1810.10222 (2018) - 2014
- [c2]Tracy De Poalo, Jeremy Howard:
Predictive modeling in practice: a case study from sprint. KDD 2014: 1517 - 2013
- [c1]Jeremy Howard:
The business impact of deep learning. KDD 2013: 1135
Coauthor Index
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