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Yedid Hoshen
Yedid Hoshen
Verified email at mail.huji.ac.il - Homepage
Title
Cited by
Cited by
Year
Speech Acoustic Modeling from Raw Multichannel Waveforms
Y Hoshen, R Weiss, KW Wilson
IEEE International Conference on Acoustics, Speech and Signal Processing, 2015
2482015
VAIN: Attentional Multi-agent Predictive Modeling
Y Hoshen
Advances in Neural Information Processing Systems (NIPS'17), 2017
1902017
Classification-Based Anomaly Detection for General Data
L Bergman, Y Hoshen
International Conference on Learning Representations (ICLR 2020), 2020
1702020
Processing multi-channel audio waveforms
TN Sainath, RJ Weiss, KW Wilson, AW Senior, A Narayanan, Y Hoshen, ...
US Patent 9,697,826, 2017
1392017
Non-adversarial unsupervised word translation
Y Hoshen, L Wolf
EMNLP'18, 2018
93*2018
Sub-image anomaly detection with deep pyramid correspondences
N Cohen, Y Hoshen
arXiv preprint arXiv:2005.02357, 2020
882020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
T Reiss, N Cohen, L Bergman, Y Hoshen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
612021
An Egocentric Look at Video Photographer Identity
Y Hoshen, S Peleg
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), 2016
52*2016
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
Y Hoshen, K Li, J Malik
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
482019
Deep nearest neighbor anomaly detection
L Bergman, N Cohen, Y Hoshen
arXiv preprint arXiv:2002.10445, 2020
462020
Demystifying Inter-Class Disentanglement
A Gabbay, Y Hoshen
International Conference on Learning Representations (ICLR 2020), 2020
412020
Nam: Non-adversarial unsupervised domain mapping
Y Hoshen, L Wolf
Proceedings of the European Conference on Computer Vision (ECCV), 436-451, 2018
28*2018
Visual Learning of Arithmetic Operations
Y Hoshen, S Peleg
Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), 2016
282016
Power to peep-all: Inference Attacks by Malicious Batteries on Mobile Devices.
P Lifshits, R Forte, Y Hoshen, M Halpern, M Philipose, M Tiwari, ...
Proc. Priv. Enhancing Technol. 2018 (4), 141-158, 2018
252018
Mean-shifted contrastive loss for anomaly detection
T Reiss, Y Hoshen
arXiv preprint arXiv:2106.03844, 2021
242021
Wisdom of the Crowd in Egocentric Video Curation
Y Hoshen, G Ben-Artzi, S Peleg
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE …, 2014
232014
Neural separation of observed and unobserved distributions
T Halperin, A Ephrat, Y Hoshen
International Conference on Machine Learning, 2566-2575, 2019
172019
Style generator inversion for image enhancement and animation
A Gabbay, Y Hoshen
arXiv preprint arXiv:1906.11880, 2019
162019
Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix
Y Hoshen
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
142019
Non-adversarial mapping with vaes
Y Hoshen
Advances in neural information processing systems 31, 2018
132018
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