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Waseem Gharbieh
Waseem Gharbieh
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Zitiert von
Zitiert von
Jahr
On the role of data in PAC-Bayes bounds
GK Dziugaite, K Hsu, W Gharbieh, DM Roy
arXiv preprint arXiv:2006.10929, 2020
1132020
On the effectiveness of task granularity for transfer learning
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
arXiv preprint arXiv:1804.09235, 2018
532018
Fine-grained video classification and captioning
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
arXiv preprint arXiv:1804.09235 5 (6), 2018
472018
Query-by-example keyword spotting system using multi-head attention and soft-triple loss
J Huang, W Gharbieh, HS Shim, E Kim
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
402021
A word embedding approach to identifying verb-noun idiomatic combinations
W Gharbieh, V Bhavsar, P Cook
Proceedings of the 12th workshop on multiword expressions, 112-118, 2016
242016
Deep learning models for multiword expression identification
W Gharbieh, V Bhavsar, P Cook
Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017
222017
Method of and server for training a machine learning algorithm for estimating uncertainty of a sequence of models
GG MELANÇON, W Gharbieh, I Malik, WX Snelgrove
US Patent 11,562,203, 2023
162023
QbyE-MLPMixer: query-by-example open-vocabulary keyword spotting using MLPMixer
J Huang, W Gharbieh, Q Wan, HS Shim, C Lee
arXiv preprint arXiv:2206.13231, 2022
102022
UNBNLP at semeval-2016 task 1: Semantic textual similarity: A unified framework for semantic processing and evaluation
M King, W Gharbieh, SH Park, P Cook
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
42016
DyConvMixer: Dynamic Convolution Mixer Architecture for Open-Vocabulary Keyword Spotting.
W Gharbieh, J Huang, Q Wan, HS Shim, HC Lee
Interspeech, 5205-5209, 2022
22022
ROBOTIC OBSTACLE AVOIDANCE IN A PARTIALLY OBSERVABLE ENVIRONMENT USING FEATURE RANKING
W Gharbieh, A Al-Mousa
International Journal of Robotics and Automation - 2019 34 (5), 2019
22019
Evaluating visual "common sense" using fine-grained classification and captioning tasks
R Goyal, F Mahdisoltani, G Berger, W Gharbieh, I Bax, R Memisevic
22018
On the effectiveness of task granularity for transfer learning. CoRR
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
arXiv preprint arXiv:1804.09235 1 (2), 2018
22018
Method and device for efficient open vocabulary keyword spotting
J Huang, W Gharbieh, WAN Qianhui
US Patent App. 18/299,938, 2023
2023
On the role of data in PAC-Bayes bounds
G Karolina Dziugaite, K Hsu, W Gharbieh, G Arpino, DM Roy
arXiv e-prints, arXiv: 2006.10929, 2020
2020
The more fine-grained, the better for transfer learning
F Mahdisoltani, G Berger, W Gharbieh, R Memisevic, D Fleet
2018
Multiword Expression Identification using Deep Learning
W Gharbieh
University of New Brunswick, 2017
2017
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