Waseem Gharbieh
Waseem Gharbieh
AI Research Scientist, LG Electronics
Verified email at lge.com
Title
Cited by
Cited by
Year
Fine-grained video classification and captioning
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
arXiv preprint arXiv:1804.09235 5 (6), 2018
192018
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
162016
Deep learning models for multiword expression identification
W Gharbieh, V Bhavsar, P Cook
Proceedings of the 6th Joint Conference on Lexical and Computational …, 2017
122017
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
82018
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
32016
On the role of data in PAC-Bayes bounds
GK Dziugaite, K Hsu, W Gharbieh, DM Roy
arXiv preprint arXiv:2006.10929, 2020
12020
On the role of data in PAC-Bayes bounds
G Karolina Dziugaite, K Hsu, W Gharbieh, DM Roy
arXiv e-prints, arXiv: 2006.10929, 2020
2020
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
2019
Evaluating visual "common sense" using fine-grained classification and captioning tasks
R Goyal, F Mahdisoltani, G Berger, W Gharbieh, I Bax, R Memisevic
2018
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
On the Role of Data in PAC-Bayes Bounds Download PDF
GK Dziugaite, K Hsu, W Gharbieh, DM Roy
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