Chaim Baskin
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Uniq: Uniform noise injection for non-uniform quantization of neural networks
C Baskin, N Liss, E Schwartz, E Zheltonozhskii, R Giryes, AM Bronstein, ...
ACM Transactions on Computer Systems (TOCS) 37 (1-4), 1-15, 2021
Loss aware post-training quantization
Y Nahshan, B Chmiel, C Baskin, E Zheltonozhskii, R Banner, ...
Machine Learning 110 (11), 3245-3262, 2021
End-to-end referring video object segmentation with multimodal transformers
A Botach, E Zheltonozhskii, C Baskin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Contrast to divide: Self-supervised pre-training for learning with noisy labels
E Zheltonozhskii, C Baskin, A Mendelson, AM Bronstein, O Litany
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Nice: Noise injection and clamping estimation for neural network quantization
C Baskin, E Zheltonozhkii, T Rozen, N Liss, Y Chai, E Schwartz, R Giryes, ...
Mathematics 9 (17), 2144, 2021
Streaming architecture for large-scale quantized neural networks on an FPGA-based dataflow platform
C Baskin, N Liss, E Zheltonozhskii, AM Bronstein, A Mendelson
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
Beholder-GAN: Generation and beautification of facial images with conditioning on their beauty level
N Diamant, D Zadok, C Baskin, E Schwartz, AM Bronstein
2019 IEEE International Conference on Image Processing (ICIP), 739-743, 2019
Feature map transform coding for energy-efficient CNN inference
B Chmiel, C Baskin, E Zheltonozhskii, R Banner, Y Yermolin, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
Early-stage neural network hardware performance analysis
A Karbachevsky, C Baskin, E Zheltonozhskii, Y Yermolin, F Gabbay, ...
Sustainability 13 (2), 717, 2021
Single-node attacks for fooling graph neural networks
B Finkelshtein, C Baskin, E Zheltonozhskii, U Alon
Neurocomputing 513, 1-12, 2022
Weisfeiler and leman go infinite: Spectral and combinatorial pre-colorings
O Feldman, A Boyarski, S Feldman, D Kogan, A Mendelson, C Baskin
Transactions on Machine Learning (TMLR), 2023
A simple and universal rotation equivariant point-cloud network
B Finkelshtein, C Baskin, H Maron, N Dym
Topological, Algebraic and Geometric Learning Workshops 2022, 107-115, 2022
CAT: Compression-Aware Training for bandwidth reduction
C Baskin, B Chmiel, E Zheltonozhskii, R Banner, AM Bronstein, ...
Journal of Machine Learning Research 22 (269), 1-20, 2021
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
E Zheltonozhskii, C Baskin, AM Bronstein, A Mendelson
NeurIPS 2020 Workshop: Self-Supervised Learning - Theory and Practice, 2020
Strategic classification with graph neural networks
I Eilat, B Finkelshtein, C Baskin, N Rosenfeld
International Conference on Learning Representations 2023, 2023
Adversarial robustness via noise injection in smoothed models
Y Nemcovsky, E Zheltonozhskii, C Baskin, B Chmiel, AM Bronstein, ...
Applied Intelligence 53 (8), 9483-9498, 2023
Physical passive patch adversarial attacks on visual odometry systems
Y Nemcovsky, M Jacoby, AM Bronstein, C Baskin
Proceedings of the Asian Conference on Computer Vision, 1795-1811, 2022
Colored noise injection for training adversarially robust neural networks
E Zheltonozhskii, C Baskin, Y Nemcovsky, B Chmiel, A Mendelson, ...
arXiv preprint arXiv:2003.02188, 2020
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware
N Liss, C Baskin, A Mendelson, AM Bronstein, R Giryes
arXiv preprint arXiv:1811.10869, 2018
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
Y Zur, C Baskin, E Zheltonozhskii, B Chmiel, I Evron, AM Bronstein
ICML 2019 AutoML Workshop, 2019
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Articles 1–20