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Author search results
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- Chaim Baskin
Technion, Israel Institute of Technology, Israel
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Publication search results
found 51 matches
- 2024
- Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein:
Active propulsion noise shaping for multi-rotor aircraft localization. CoRR abs/2402.17289 (2024) - Tamir Shor, Chaim Baskin, Alexander M. Bronstein:
Leveraging Latents for Efficient Thermography Classification and Segmentation. CoRR abs/2404.06589 (2024) - 2023
- 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) - Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin:
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings. Trans. Mach. Learn. Res. 2023 (2023) - Mitchell Keren Taraday, Chaim Baskin:
Enhanced Meta Label Correction for Coping with Label Corruption. ICCV 2023: 16249-16258 - Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld:
Strategic Classification with Graph Neural Networks. ICLR 2023 - Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alexander M. Bronstein:
Classifier Robustness Enhancement Via Test-Time Transformation. CoRR abs/2303.15409 (2023) - Mitchell Keren Taraday, Chaim Baskin:
Enhanced Meta Label Correction for Coping with Label Corruption. CoRR abs/2305.12961 (2023) - Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin:
Semi-Supervised Semantic Segmentation via Marginal Contextual Information. CoRR abs/2308.13900 (2023) - Klára Janousková, Tamir Shor, Chaim Baskin, Jiri Matas:
Single Image Test-Time Adaptation for Segmentation. CoRR abs/2309.14052 (2023) - Or Feldman, Chaim Baskin:
Leveraging Temporal Graph Networks Using Module Decoupling. CoRR abs/2310.02721 (2023) - 2022
- Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon:
Single-node attacks for fooling graph neural networks. Neurocomputing 513: 1-12 (2022) - Tom Avrech, Evgenii Zheltonozhskii, Chaim Baskin, Ehud Rivlin:
GoToNet: Fast Monocular Scene Exposure and Exploration. J. Intell. Robotic Syst. 105(3): 65 (2022) - Yaniv Nemcovsky, Matan Jacoby, Alex M. Bronstein, Chaim Baskin:
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. ACCV (7) 2022: 518-534 - Ameen Ali, Tomer Galanti, Evgenii Zheltonozhskii, Chaim Baskin, Lior Wolf:
Weakly Supervised Discovery of Semantic Attributes. CLeaR 2022: 44-69 - Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin:
End-to-End Referring Video Object Segmentation with Multimodal Transformers. CVPR 2022: 4975-4985 - Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym:
A Simple and Universal Rotation Equivariant Point-Cloud Network. TAG-ML 2022: 107-115 - Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. WACV 2022: 387-397 - Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson:
On Recoverability of Graph Neural Network Representations. CoRR abs/2201.12843 (2022) - Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin:
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings. CoRR abs/2201.13410 (2022) - Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym:
A Simple and Universal Rotation Equivariant Point-cloud Network. CoRR abs/2203.01216 (2022) - Tal Rozen, Moshe Kimhi, Brian Chmiel, Avi Mendelson, Chaim Baskin:
Bimodal Distributed Binarized Neural Networks. CoRR abs/2204.02004 (2022) - Moshe Kimhi, Tal Rozen, Tal Kopetz, Olya Sirkin, Avi Mendelson, Chaim Baskin:
FBM: Fast-Bit Allocation for Mixed-Precision Quantization. CoRR abs/2205.15437 (2022) - Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld:
Strategic Classification with Graph Neural Networks. CoRR abs/2205.15765 (2022) - Tom Avrech, Evgenii Zheltonozhskii, Chaim Baskin, Ehud Rivlin:
GoToNet: Fast Monocular Scene Exposure and Exploration. CoRR abs/2206.05967 (2022) - Yaniv Nemcovsky, Matan Yaakoby, Alex M. Bronstein, Chaim Baskin:
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. CoRR abs/2207.05729 (2022) - 2021
- Chaim Baskin:
Designing Deep Neural Networks for Efficient and Robust Inference. Technion - Israel Institute of Technology, Israel, 2021 - 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) - 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) - Ameen Ali, Tomer Galanti, Evgeniy Zheltonozhskiy, Chaim Baskin, Lior Wolf:
Intersection Regularization for Extracting Semantic Attributes. CoRR abs/2103.11888 (2021)
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