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Peter Izsak
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Q8bert: Quantized 8bit bert
O Zafrir, G Boudoukh, P Izsak, M Wasserblat
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive…, 2019
4962019
How to train BERT with an academic budget
P Izsak, M Berchansky, O Levy
arXiv preprint arXiv:2104.07705, 2021
912021
Transformer language models without positional encodings still learn positional information
A Haviv, O Ram, O Press, P Izsak, O Levy
arXiv preprint arXiv:2203.16634, 2022
602022
Cloud-enabled, distributed and high-availability system with virtual machine checkpointing
B Hudzia, S Walsh, R Tell, A Shribman, P Izsak
US Patent 9,563,452, 2017
332017
Term set expansion based nlp architect by intel ai lab
J Mamou, O Pereg, M Wasserblat, A Eirew, Y Green, S Guskin, P Izsak, ...
arXiv preprint arXiv:1808.08953, 2018
272018
Exploring the boundaries of low-resource BERT distillation
M Wasserblat, O Pereg, P Izsak
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language…, 2020
172020
System and method for text normalization in noisy channels
H Weisman, P Izsak, I Achlow, V Shafran
US Patent 10,803,241, 2020
142020
The search duel: a response to a strong ranker
P Izsak, F Raiber, O Kurland, M Tennenholtz
Proceedings of the 37th international ACM SIGIR conference on Research…, 2014
122014
Term set expansion based on multi-context term embeddings: an end-to-end workflow
J Mamou, O Pereg, M Wasserblat, I Dagan, Y Goldberg, A Eirew, Y Green, ...
arXiv preprint arXiv:1807.10104, 2018
82018
Training compact models for low resource entity tagging using pre-trained language models
P Izsak, S Guskin, M Wasserblat
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive…, 2019
72019
Setexpander: End-to-end term set expansion based on multi-context term embeddings
J Mamou, O Pereg, M Wasserblat, I Dagan, Y Goldberg, A Eirew, Y Green, ...
Proceedings of the 27th International Conference on Computational…, 2018
72018
Determination of prominent phrases in multi-channel interactions by multi-feature evaluations
H Weisman, P Izsak, V Shafran
US Patent 9,953,048, 2018
52018
Optimizing retrieval-augmented reader models via token elimination
M Berchansky, P Izsak, A Caciularu, I Dagan, M Wasserblat
arXiv preprint arXiv:2310.13682, 2023
42023
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity
M Berchansky, D Fleischer, M Wasserblat, P Izsak
arXiv preprint arXiv:2404.10513, 2024
2024
Reduction of latency in retriever-reader architectures
M Berchansky, P Izsak
US Patent App. 17/957,456, 2023
2023
Remote redundant array of inexpensive memory
A Shribman, P Izsak, B Hudzia, R Tell
US Patent App. 13/646,433, 2014
2014
Leveraging memory mirroring for transparent memory scale-out with zero-downtime failover of remote hosts
R Tell, P Izsak, A Shribman, S Walsh, B Hudzia
2013 IEEE Symposium on Computers and Communications (ISCC), 000384-000390, 2013
2013
Data Intensive Enterprise Applications
P Izsak, A Shribman
Data Intensive Storage Services for Cloud Environments, 158-165, 2013
2013
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing-NeurIPS Edition (EMC2-NIPS)| 978-1-6654-2418-9/19/$31.00 2019 IEEE| DOI: 10.1109/EMC2…
R Appuswamy, JV Arthur, D Bablani, D Badawi, A Ball, J Beu, T Bluche, ...
Text Normalization in Noisy Channels
H Weisman, P Izsak, I Achlow, V Shafran
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