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Bruno Andreis
Bruno Andreis
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Set-based neural network encoding
B Andreis, S Bedionita, SJ Hwang
arXiv preprint arXiv:2305.16625, 2023
52023
Set-based meta-interpolation for few-task meta-learning
S Lee, B Andreis, K Kawaguchi, J Lee, SJ Hwang
Advances in neural information processing systems 35, 6775-6788, 2022
52022
Mini-batch consistent slot set encoder for scalable set encoding
A Bruno, J Willette, J Lee, SJ Hwang
Advances in Neural Information Processing Systems 34, 21365-21374, 2021
42021
Diffusion-based neural network weights generation
B Soro, B Andreis, H Lee, S Chong, F Hutter, SJ Hwang
arXiv preprint arXiv:2402.18153, 2024
32024
Distortion-aware network pruning and feature reuse for real-time video segmentation
H Rhee, D Min, S Hwang, B Andreis, SJ Hwang
arXiv preprint arXiv:2206.09604, 2022
22022
Stochastic subset selection
AT Nguyen
한국과학기술원, 2020
22020
Mini-batch consistent slot set encoder for scalable set encoding
B Andreis, J Willette, J Lee, SJ Hwang
arXiv preprint arXiv:2103.01615, 2021
12021
Scalable set encoding with universal mini-batch consistency and unbiased full set gradient approximation
J Willette, S Lee, B Andreis, K Kawaguchi, J Lee, SJ Hwang
International Conference on Machine Learning, 37008-37041, 2023
2023
Universal Mini-Batch Consistency for Set Encoding Functions
JR Willette, B Andreis, J Lee, SJ Hwang
2022
Set Based Stochastic Subsampling
B Andreis, S Lee, AT Nguyen, J Lee, E Yang, SJ Hwang
arXiv preprint arXiv:2006.14222, 2020
2020
Stochastic Subset Selection for Efficient Training and Inference of Neural Networks
A Bruno, AT Nguyen, S Lee, J Lee, E Yang, SJ Hwang
arXiv preprint arXiv:2006.14222, 2020
2020
Task Conditioned Stochastic Subsampling
B Andreis, S Lee, AT Nguyen, J Lee, E Yang, SJ Hwang
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Artikelen 1–12