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ORCIDJean-Samuel Leboeuf
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2020 – today
- 2022
[i5]Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand
:
Generalization Properties of Decision Trees on Real-valued and Categorical Features. CoRR abs/2210.10781 (2022)- 2021
- [i4]Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand:
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion. CoRR abs/2111.00062 (2021) - 2020
- [c3]Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand:
Decision trees as partitioning machines to characterize their generalization properties. NeurIPS 2020 - [i3]Jean-Samuel Leboeuf, Frédéric Leblanc, Mario Marchand:
Decision trees as partitioning machines to characterize their generalization properties. CoRR abs/2010.07374 (2020)
2010 – 2019
- 2019
- [c2]Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne:
Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks. Canadian AI 2019: 563-569 - [i2]Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne:
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks. CoRR abs/1903.00724 (2019) - [i1]Nicolas Garneau, Jean-Samuel Leboeuf, Yuval Pinter, Luc Lamontagne:
Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations. CoRR abs/1912.06876 (2019) - 2018
- [c1]Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne:
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks. BlackboxNLP@EMNLP 2018: 331-333
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