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pro vyhledávání: '"van Baalen A"'
Autor:
Bhardwaj, Kartikeya, Pandey, Nilesh Prasad, Priyadarshi, Sweta, Ganapathy, Viswanath, Esteves, Rafael, Kadambi, Shreya, Borse, Shubhankar, Whatmough, Paul, Garrepalli, Risheek, Van Baalen, Mart, Teague, Harris, Nagel, Markus
In this paper, we propose Sparse High Rank Adapters (SHiRA) that directly finetune 1-2% of the base model weights while leaving others unchanged, thus, resulting in a highly sparse adapter. This high sparsity incurs no inference overhead, enables rap
Externí odkaz:
http://arxiv.org/abs/2407.16712
Autor:
Bhardwaj, Kartikeya, Pandey, Nilesh Prasad, Priyadarshi, Sweta, Ganapathy, Viswanath, Esteves, Rafael, Kadambi, Shreya, Borse, Shubhankar, Whatmough, Paul, Garrepalli, Risheek, Van Baalen, Mart, Teague, Harris, Nagel, Markus
Low Rank Adaptation (LoRA) has gained massive attention in the recent generative AI research. One of the main advantages of LoRA is its ability to be fused with pretrained models adding no overhead during inference. However, from a mobile deployment
Externí odkaz:
http://arxiv.org/abs/2406.13175
Autor:
van Baalen, Mart, Kuzmin, Andrey, Nagel, Markus, Couperus, Peter, Bastoul, Cedric, Mahurin, Eric, Blankevoort, Tijmen, Whatmough, Paul
In this work we show that the size versus accuracy trade-off of neural network quantization can be significantly improved by increasing the quantization dimensionality. We propose the GPTVQ method, a new fast method for post-training vector quantizat
Externí odkaz:
http://arxiv.org/abs/2402.15319
Autor:
van der Ouderaa, Tycho F. A., Nagel, Markus, van Baalen, Mart, Asano, Yuki M., Blankevoort, Tijmen
State-of-the-art language models are becoming increasingly large in an effort to achieve the highest performance on large corpora of available textual data. However, the sheer size of the Transformer architectures makes it difficult to deploy models
Externí odkaz:
http://arxiv.org/abs/2312.17244
Autor:
Sophie van Baalen, Mieke Boon
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Health professionals need to be prepared for interdisciplinary research collaborations aimed at the development and implementation of medical technology. Expertise is highly domain-specific, and learned by being immersed in profes
Externí odkaz:
https://doaj.org/article/58fe1249e56f4c69aaca3932a5d2143f
Quantizing neural networks is one of the most effective methods for achieving efficient inference on mobile and embedded devices. In particular, mixed precision quantized (MPQ) networks, whose layers can be quantized to different bitwidths, achieve b
Externí odkaz:
http://arxiv.org/abs/2307.04535
Neural network pruning and quantization techniques are almost as old as neural networks themselves. However, to date only ad-hoc comparisons between the two have been published. In this paper, we set out to answer the question on which is better: neu
Externí odkaz:
http://arxiv.org/abs/2307.02973
Monolayers of colloidal particles at oil-water interfaces readily crystalize owing to electrostatic repulsion, which is often mediated through the oil. However, little attempts exist to control it using oil-soluble electrolytes. We probe the interact
Externí odkaz:
http://arxiv.org/abs/2305.01929
Autor:
van Baalen, Mart, Kuzmin, Andrey, Nair, Suparna S, Ren, Yuwei, Mahurin, Eric, Patel, Chirag, Subramanian, Sundar, Lee, Sanghyuk, Nagel, Markus, Soriaga, Joseph, Blankevoort, Tijmen
Recently, the idea of using FP8 as a number format for neural network training has been floating around the deep learning world. Given that most training is currently conducted with entire networks in FP32, or sometimes FP16 with mixed-precision, the
Externí odkaz:
http://arxiv.org/abs/2303.17951
Autor:
Masha S. Zee, H. Roeline Pasman, Erica Witkamp, Anne Goossensen, Ida J. Korfage, Yvonne N. Becqué, Corine Nierop-van Baalen, Agnes van der Heide, Bregje D. Onwuteaka-Philipsen
Publikováno v:
BMC Palliative Care, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Background During the COVID-19 pandemic, the way in which end-of-life care was provided, underwent a lot of changes and therefor different domains of end-of-life care were impacted. The aim of this study is to describe whether health care pr
Externí odkaz:
https://doaj.org/article/0a06840e07ab4cccada5ef606481a988