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Davide Testuggine
Davide Testuggine
Потвърден имейл адрес: fb.com
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The llama 3 herd of models
A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ...
arXiv preprint arXiv:2407.21783, 2024
13562024
The hateful memes challenge: Detecting hate speech in multimodal memes
D Kiela, H Firooz, A Mohan, V Goswami, A Singh, P Ringshia, ...
Advances in neural information processing systems 33, 2611-2624, 2020
6142020
Opacus: User-friendly differential privacy library in PyTorch
A Yousefpour, I Shilov, A Sablayrolles, D Testuggine, K Prasad, M Malek, ...
arXiv preprint arXiv:2109.12298, 2021
3672021
Supervised multimodal bitransformers for classifying images and text
D Kiela, S Bhooshan, H Firooz, E Perez, D Testuggine
arXiv preprint arXiv:1909.02950, 2019
2722019
Llama guard: Llm-based input-output safeguard for human-ai conversations
H Inan, K Upasani, J Chi, R Rungta, K Iyer, Y Mao, M Tontchev, Q Hu, ...
arXiv preprint arXiv:2312.06674, 2023
2342023
Are multimodal transformers robust to missing modality?
M Ma, J Ren, L Zhao, D Testuggine, X Peng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1572022
Introducing v0. 5 of the ai safety benchmark from mlcommons
B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ...
arXiv preprint arXiv:2404.12241, 2024
252024
PyTorch Differential Privacy Series Part 1: DP-SGD Algorithm Explained
D Testuggine, I Mironov
August, 2020
102020
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