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Benjamin Thérien
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Journal Articles
- 2024
- [j1]Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish:
Simple and Scalable Strategies to Continually Pre-train Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2024
- [c4]Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki:
Object Re-Identification from Point Clouds. WACV 2024: 8362-8373 - 2022
- [c3]Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf:
Parametric Scattering Networks. CVPR 2022: 5739-5748 - [c2]Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. ITSC 2022: 4265-4271 - 2021
- [c1]Benjamin Thérien, Parsa Bagherzadeh, Sabine Bergler:
CLaC-BP at SemEval-2021 Task 8: SciBERT Plus Rules for MeasEval. SemEval@ACL/IJCNLP 2021: 410-415
Informal and Other Publications
- 2024
- [i9]Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Anthony, Timothée Lesort, Eugene Belilovsky, Irina Rish:
Simple and Scalable Strategies to Continually Pre-train Large Language Models. CoRR abs/2403.08763 (2024) - [i8]Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky:
μLO: Compute-Efficient Meta-Generalization of Learned Optimizers. CoRR abs/2406.00153 (2024) - 2023
- [i7]Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki:
Towards Object Re-Identification from Point Clouds for 3D MOT. CoRR abs/2305.10210 (2023) - [i6]Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats L. Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort:
Continual Pre-Training of Large Language Models: How to (re)warm your model? CoRR abs/2308.04014 (2023) - [i5]Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky:
Can We Learn Communication-Efficient Optimizers? CoRR abs/2312.02204 (2023) - 2022
- [i4]Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. CoRR abs/2209.14435 (2022) - [i3]Benjamin Thérien, Krzysztof Czarnecki:
Interpretable Deep Tracking. CoRR abs/2210.01266 (2022) - [i2]Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang:
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition. CoRR abs/2210.02577 (2022) - 2021
- [i1]Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf:
Parametric Scattering Networks. CoRR abs/2107.09539 (2021)
Coauthor Index
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last updated on 2024-08-10 01:22 CEST by the dblp team
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