עקוב אחר
Andrii Skliar
Andrii Skliar
Research Engineer, Qualcomm AI Research Netherlands
כתובת אימייל מאומתת בדומיין qti.qualcomm.com
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
552021
Simple and efficient architectures for semantic segmentation‏
D Mehta, A Skliar, H Ben Yahia, S Borse, F Porikli, A Habibian, ...‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022‏
252022
Cyclical pruning for sparse neural networks‏
S Srinivas, A Kuzmin, M Nagel, M van Baalen, A Skliar, T Blankevoort‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022‏
192022
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
102022
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding‏
B Bergner, A Skliar, A Royer, T Blankevoort, Y Asano, BE Bejnordi‏
Workshop on Efficient Systems for Foundation Models II @ ICML2024, 2024‏
42024
Adding object detection skills to visual dialogue agents‏
G Bani, D Belli, G Dagan, A Geenen, A Skliar, A Venkatesh, ...‏
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018‏
42018
Revisiting single-gated mixtures of experts‏
A Royer, I Karmanov, A Skliar, BE Bejnordi, T Blankevoort‏
arXiv preprint arXiv:2304.05497, 2023‏
32023
Mixture of cache-conditional experts for efficient mobile device inference‏
A Skliar, T van Rozendaal, R Lepert, T Boinovski, M van Baalen, M Nagel, ...‏
arXiv preprint arXiv:2412.00099, 2024‏
22024
Hyperbolic convolutional neural networks‏
A Skliar, M Weiler‏
arXiv preprint arXiv:2308.15639, 2023‏
12023
Method For Automatically Designing Efficient Hardware-Aware Neural Networks For Visual Recognition Using Knowledge Distillation‏
B Moons, P Noorzad, A Skliar, C Lott, TPF Blankevoort‏
US Patent App. 17/455,201, 2022‏
12022
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking‏
M Federici, D Belli, M van Baalen, A Jalalirad, A Skliar, B Major, M Nagel, ...‏
arXiv preprint arXiv:2412.01380, 2024‏
2024
Simulated low bit-width quantization using bit shifted neural network parameters‏
MW Van Baalen, B Kahne, EW Mahurin, TPF Blankevoort, A Kuzmin, ...‏
US Patent App. 18/103,428, 2023‏
2023
Machine learning model architecture combining mixture of experts and model ensembling‏
AME Royer, I Karmanov, A Skliar, BE Bejnordi, TPF Blankevoort‏
US Patent App. 18/154,429, 2023‏
2023
Neural Network Pruning With Cyclical Sparsity‏
S Srinivas, TPF Blankevoort, A Kuzmin, M Nagel, MW Van Baalen, ...‏
US Patent App. 17/456,318, 2022‏
2022
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מאמרים 1–14