Prati
Tijmen Blankevoort
Tijmen Blankevoort
Qualcomm AI Research
Potvrđena adresa e-pošte na qti.qualcomm.com
Naslov
Citirano
Citirano
Godina
Data-free quantization through weight equalization and bias correction
M Nagel, M Baalen, T Blankevoort, M Welling
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2722019
Relaxed quantization for discretized neural networks
C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling
arXiv preprint arXiv:1810.01875, 2018
1392018
Up or down? adaptive rounding for post-training quantization
M Nagel, RA Amjad, M Van Baalen, C Louizos, T Blankevoort
International Conference on Machine Learning, 7197-7206, 2020
1052020
Conditional channel gated networks for task-aware continual learning
D Abati, J Tomczak, T Blankevoort, S Calderara, R Cucchiara, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
892020
Lsq+: Improving low-bit quantization through learnable offsets and better initialization
Y Bhalgat, J Lee, M Nagel, T Blankevoort, N Kwak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
712020
Bayesian bits: Unifying quantization and pruning
M Van Baalen, C Louizos, M Nagel, RA Amjad, Y Wang, T Blankevoort, ...
Advances in neural information processing systems 33, 5741-5752, 2020
442020
A white paper on neural network quantization
M Nagel, M Fournarakis, RA Amjad, Y Bondarenko, M van Baalen, ...
arXiv preprint arXiv:2106.08295, 2021
432021
Batch-shaping for learning conditional channel gated networks
BE Bejnordi, T Blankevoort, M Welling
arXiv preprint arXiv:1907.06627, 2019
412019
Gradient Regularization for Quantization Robustness
M Alizadeh, A Behboodi, M van Baalen, C Louizos, T Blankevoort, ...
arXiv preprint arXiv:2002.07520, 2020
362020
Differentiable joint pruning and quantization for hardware efficiency
Y Wang, Y Lu, T Blankevoort
European Conference on Computer Vision, 259-277, 2020
252020
Distilling optimal neural networks: Rapid search in diverse spaces
B Moons, P Noorzad, A Skliar, G Mariani, D Mehta, C Lott, T Blankevoort
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
242021
Learned threshold pruning
K Azarian, Y Bhalgat, J Lee, T Blankevoort
arXiv preprint arXiv:2003.00075, 2020
162020
Taxonomy and evaluation of structured compression of convolutional neural networks
A Kuzmin, M Nagel, S Pitre, S Pendyam, T Blankevoort, M Welling
arXiv preprint arXiv:1912.09802, 2019
152019
Continuous relaxation of quantization for discretized deep neural networks
C Louizos, M Reisser, TPF Blankevoort, M Welling
US Patent App. 16/413,535, 2019
52019
Understanding and overcoming the challenges of efficient transformer quantization
Y Bondarenko, M Nagel, T Blankevoort
arXiv preprint arXiv:2109.12948, 2021
32021
Overcoming Oscillations in Quantization-Aware Training
M Nagel, M Fournarakis, Y Bondarenko, T Blankevoort
arXiv preprint arXiv:2203.11086, 2022
22022
Conditional Computation For Continual Learning
D Abati, BE Bejnordi, JM Tomczak, TPF Blankevoort
US Patent App. 17/097,811, 2021
22021
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
S Siddegowda, M Fournarakis, M Nagel, T Blankevoort, C Patel, ...
arXiv preprint arXiv:2201.08442, 2022
12022
Simulated Quantization, Real Power Savings
M van Baalen, B Kahne, E Mahurin, A Kuzmin, A Skliar, M Nagel, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
Spatio-Temporal Gated Transformers for Efficient Video Processing
Y Li, BE Bejnordi, B Moons, T Blankevoort, A Habibian, R Timofte, ...
Advances in Neural Information Processing Systems Workshops, 2021
12021
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