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Title
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Cited by
Year
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
22042024
Dinov2: Learning robust visual features without supervision
M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ...
arXiv preprint arXiv:2304.07193, 2023
21982023
The deepfake detection challenge (dfdc) dataset
B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer
arXiv preprint arXiv:2006.07397, 2020
9002020
The dee pfake detection challenge (DFDC) pre view dataset
B Dolhansky
arXiv preprint arXiv:1910.08854, 2019
6302019
Energetically Consistent Invertible Elasticity
A Stomakhin, R Howes, C Schroeder, JM Teran
Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 25-32, 2012
1462012
Demystifying clip data
H Xu, S Xie, XE Tan, PY Huang, R Howes, V Sharma, SW Li, G Ghosh, ...
arXiv preprint arXiv:2309.16671, 2023
1342023
Scaling autoregressive multi-modal models: Pretraining and instruction tuning
L Yu, B Shi, R Pasunuru, B Muller, O Golovneva, T Wang, A Babu, B Tang, ...
arXiv preprint arXiv:2309.02591 2 (3), 2023
1282023
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation
L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ...
arXiv preprint arXiv:2308.11596, 2023
1052023
The llama 3 herd of models
A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ...
arXiv e-prints, arXiv: 2407.21783, 2024
622024
Dynamical structure functions for the reverse engineering of LTI networks
J Gonçalves, R Howes, S Warnick
2007 46th IEEE Conference on Decision and Control, 1516-1522, 2007
442007
The deepfake detection challenge (dfdc) dataset. arXiv 2020
B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer
arXiv preprint arXiv:2006.07397, 2006
392006
Dinov2: Learning robust visual features without supervision (2023)
M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ...
arXiv preprint arXiv:2304.07193 1, 0
32
Cit: Curation in training for effective vision-language data
H Xu, S Xie, PY Huang, L Yu, R Howes, G Ghosh, L Zettlemoyer, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
262023
The deepfake detection challenge (dfdc) preview dataset. arXiv 2019
B Dolhansky, R Howes, B Pflaum, N Baram, CC Ferrer
arXiv preprint arXiv:1910.08854, 0
23
Dynamical structure analysis of sparsity and minimality heuristics for reconstruction of biochemical networks
R Howes, L Eccleston, J Gonçalves, GB Stan, S Warnick
2008 47th IEEE Conference on Decision and Control, 173-178, 2008
192008
The deepfake detection challenge (dfdc) dataset (2020)
B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer
arXiv preprint arXiv:2006.07397, 2006
142006
The deepfake detection challenge (dfdc) preview dataset (2019)
B Dolhansky, R Howes, B Pflaum, N Baram, CC Ferrer
arXiv preprint arXiv:1910.08854, 2021
132021
A second order virtual node algorithm for Navier–Stokes flow problems with interfacial forces and discontinuous material properties
C Schroeder, A Stomakhin, R Howes, JM Teran
Journal of Computational Physics 265, 221-245, 2014
132014
The DeepFake detection challenge dataset.(2020)
B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes, M Wang, CC Ferrer
ArXiv: abs, 2006
122006
A comparison of network reconstruction methods for chemical reaction networks
C Ward, E Yeung, T Brown, B Durtschi, S Weyerman, R Howes, ...
Proceedings of the Foundations for Systems Biology and Engineering …, 2009
112009
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