• 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 60 matches

• 2024
• 
  Klára Janousková, Tamir Shor, Chaim Baskin, Jiri Matas:
  Single Image Test-Time Adaptation for Segmentation. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin:
  Semi-Supervised Semantic Segmentation via Marginal Contextual Information. Trans. Mach. Learn. Res. 2024 (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)
• 
  Zachary Bamberger, Ofek Glick, Chaim Baskin, Yonatan Belinkov:
  DEPTH: Discourse Education through Pre-Training Hierarchically. CoRR abs/2405.07788 (2024)
• 
  Maor Dikter, Tsachi Blau, Chaim Baskin:
  Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency. CoRR abs/2406.08840 (2024)
• 
  Eden Grad, Moshe Kimhi, Lion Halika, Chaim Baskin:
  Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters. CoRR abs/2406.10891 (2024)
• 
  Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro:
  Robot Instance Segmentation with Few Annotations for Grasping. CoRR abs/2407.01302 (2024)
• 
  Tamir Shor, Chaim Baskin, Alexander M. Bronstein:
  TEAM PILOT - Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories. CoRR abs/2409.12777 (2024)
• 
  Mitchell Keren Taraday, Almog David, Chaim Baskin:
  Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks. CoRR abs/2409.19414 (2024)
• 
  Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin:
  Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. CoRR abs/2410.17222 (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)

skipping 30 more matches