• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 43 matches

• 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)
• 
  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)
• 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
• 
  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)
• 
  Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
  Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR abs/2103.13646 (2021)
• 
  Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin:
  End-to-End Referring Video Object Segmentation with Multimodal Transformers. CoRR abs/2111.14821 (2021)
• 2020
• 
  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
• 
  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)
• 
  Alex Karbachevsky, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, Avi Mendelson:
  HCM: Hardware-Aware Complexity Metric for Neural Network Architectures. CoRR abs/2004.08906 (2020)
• 
  Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein, Avi Mendelson:
  Self-Supervised Learning for Large-Scale Unsupervised Image Clustering. CoRR abs/2008.10312 (2020)
• 
  Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon:
  Single-Node Attack for Fooling Graph Neural Networks. CoRR abs/2011.03574 (2020)
• 2019
• 
  Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson:
  UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. 37(1-4): 4:1-4:15 (2019)

skipping 13 more matches