Efficient Residue Number System Based Winograd Convolution

von Liu, Zhi-Gang
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 19 (2020)

ON THE EFFECTS OF QUANTISATION ON MODEL UNCERTAINTY IN BAYESIAN NEURAL NETWORKS

von Ferianc, Martin
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)

UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units

von Fedorov, Igor
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

DEBIASING MODEL UPDATES FOR IMPROVING PERSONALIZED FEDERATED TRAINING

von ACAR, DURMUS ALP EMRE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

TINYLSTMS: EFFICIENT NEURAL SPEECH ENHANCEMENT FOR HEARING AIDS

von Fedorov, Igor
Veröffentlicht in INTERSPEECH (21. : 2020 : Online) Cognitive intelligence for speech processing ; Volume 6 of 7 (2020)