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Avi Mendelson

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Brian Chmiel

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Publications

2023
[j48]
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  - journals/apin/NemcovskyZBCBM23
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  - https://dblp.org/rec/journals/apin/NemcovskyZBCBM23
Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, Avi Mendelson:
Adversarial robustness via noise injection in smoothed models. Appl. Intell. 53(8): 9483-9498 (2023)
2022
[i20]
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  - journals/corr/abs-2204-02004
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  - https://dblp.org/rec/journals/corr/abs-2204-02004
Tal Rozen, Moshe Kimhi, Brian Chmiel, Avi Mendelson, Chaim Baskin:
Bimodal Distributed Binarized Neural Networks. CoRR abs/2204.02004 (2022)
2021
[j42]
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  - journals/jmlr/BaskinCZBBM21
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Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson:
CAT: Compression-Aware Training for bandwidth reduction. J. Mach. Learn. Res. 22: 269:1-269:20 (2021)
[j41]
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  - journals/ml/NahshanCBZBBM21
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Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson:
Loss aware post-training quantization. Mach. Learn. 110(11): 3245-3262 (2021)
2020
[c49]
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  - conf/ijcnn/ChmielBZBYKBM20
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Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson:
Feature Map Transform Coding for Energy-Efficient CNN Inference. IJCNN 2020: 1-9
[i16]
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  - journals/corr/abs-2003-02188
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Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein:
Colored Noise Injection for Training Adversarially Robust Neural Networks. CoRR abs/2003.02188 (2020)
2019
[i10]
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  - journals/corr/abs-1904-09872
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Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alexander M. Bronstein, Avi Mendelson:
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. CoRR abs/1904.09872 (2019)
[i9]
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  - journals/corr/abs-1905-10830
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Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson:
Feature Map Transform Coding for Energy-Efficient CNN Inference. CoRR abs/1905.10830 (2019)
[i8]
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  - journals/corr/abs-1909-11481
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Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
CAT: Compression-Aware Training for bandwidth reduction. CoRR abs/1909.11481 (2019)
[i7]
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  - journals/corr/abs-1911-07190
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Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson:
Loss Aware Post-training Quantization. CoRR abs/1911.07190 (2019)
[i6]
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  - journals/corr/abs-1911-07198
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Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alexander M. Bronstein, Avi Mendelson:
Smoothed Inference for Adversarially-Trained Models. CoRR abs/1911.07198 (2019)

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