Baskin, Chaim

23 publications

ICLRW 2025 Adversarial Robustness in Parameter-Space Classifiers Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein

WACV 2025 Class-Conditioned Transformation for Enhanced Robust Image Classification Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex Bronstein

WACV 2025 Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency Maor Dikter, Tsachi Blau, Chaim Baskin

CVPR 2025 DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof

LoG 2025 Leveraging Temporal Graph Networks Using Module Decoupling Or Feldman, Chaim Baskin

WACV 2025 Robot Instance Segmentation with Few Annotations for Grasping Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro

ICMLW 2024 Active Propulsion Noise Shaping for Multi-Rotor Aircraft Localization Tamir Shor, Gabriele Serussi, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein

TMLR 2024 Semi-Supervised Semantic Segmentation via Marginal Contextual Information Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin

NeurIPS 2024 Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday, Almog David, Chaim Baskin

TMLR 2024 Single Image Test-Time Adaptation for Segmentation Klara Janouskova, Tamir Shor, Chaim Baskin, Jiri Matas

NeurIPSW 2024 Sparse Patches Adversarial Attacks via Extrapolating Point-Wise Information Yaniv Nemcovsky, Avi Mendelson, Chaim Baskin

ICMLW 2023 Classifier Robustness Enhancement via Test-Time Transformation Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein

ICCV 2023 Enhanced Meta Label Correction for Coping with Label Corruption Mitchell Keren Taraday, Chaim Baskin

NeurIPSW 2023 Leveraging Temporal Graph Networks Using Module Decoupling Or Feldman, Chaim Baskin

ICLR 2023 Strategic Classification with Graph Neural Networks Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld

TMLR 2023 Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin

WACV 2022 Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany

CVPR 2022 End-to-End Referring Video Object Segmentation with Multimodal Transformers Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin

ICLRW 2022 On Recoverability of Graph Neural Network Representations Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson

CLeaR 2022 Weakly Supervised Discovery of Semantic Attributes Ameen Ali Ali, Tomer Galanti, Evgenii Zheltonozhskii, Chaim Baskin, Lior Wolf

ICLRW 2022 Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin

JMLR 2021 CAT: Compression-Aware Training for Bandwidth Reduction Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson

MLJ 2021 Loss Aware Post-Training Quantization Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson