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 | 177* | 2021 |
Loss aware post-training quantization Y Nahshan, B Chmiel, C Baskin, E Zheltonozhskii, R Banner, ... Machine Learning 110 (11), 3245-3262, 2021 | 152 | 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 | 122 | 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 | 93 | 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 | 69 | 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 | 56 | 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 | 28 | 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 | 27 | 2020 |
Early-stage neural network hardware performance analysis A Karbachevsky, C Baskin, E Zheltonozhskii, Y Yermolin, F Gabbay, ... Sustainability 13 (2), 717, 2021 | 21* | 2021 |
Single-node attacks for fooling graph neural networks B Finkelshtein, C Baskin, E Zheltonozhskii, U Alon Neurocomputing 513, 1-12, 2022 | 16 | 2022 |
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 | 15* | 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 | 14 | 2023 |
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 | 12 | 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 | 10 | 2020 |
Strategic classification with graph neural networks I Eilat, B Finkelshtein, C Baskin, N Rosenfeld International Conference on Learning Representations 2023, 2023 | 8 | 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 | 7* | 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 | 7 | 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 | 7 | 2020 |
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 | 6 | 2019 |
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 | 6 | 2018 |