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Tijmen Blankevoort

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The LLM Surgeon

Dec 28, 2023
Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort

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VeRA: Vector-based Random Matrix Adaptation

Oct 17, 2023
Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki Markus Asano

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Scalarization for Multi-Task and Multi-Domain Learning at Scale

Oct 13, 2023
Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

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Efficient Neural PDE-Solvers using Quantization Aware Training

Aug 14, 2023
Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano

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QBitOpt: Fast and Accurate Bitwidth Reallocation during Training

Jul 10, 2023
Jorn Peters, Marios Fournarakis, Markus Nagel, Mart van Baalen, Tijmen Blankevoort

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Pruning vs Quantization: Which is Better?

Jul 06, 2023
Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort

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MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers

Jul 05, 2023
Jakob Drachmann Havtorn, Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi

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Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing

Jun 22, 2023
Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort

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Revisiting Single-gated Mixtures of Experts

Apr 11, 2023
Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort

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FP8 versus INT8 for efficient deep learning inference

Mar 31, 2023
Mart van Baalen, Andrey Kuzmin, Suparna S Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian, Sanghyuk Lee, Markus Nagel, Joseph Soriaga, Tijmen Blankevoort

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