Chaim Baskin - RankMe

91 papers A* 5A 5B 2Journal 70Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Attacks in Weight-Space Classifiers. Trans. Mach. Learn. Res. Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein
2026	J	`jnl`	Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment. CoRR Roy Amoyal, Oren Freifeld, Chaim Baskin
2026	J	`jnl`	HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering. CoRR Dan Ben Ami, Gabriele Serussi, Kobi Cohen, Chaim Baskin
2026	J	`jnl`	Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs. CoRR Nimrod Shabtay, Moshe Kimhi, Artem Spector, Sivan Haray, Ehud Rivlin, Chaim Baskin, Raja Giryes, Eli Schwartz
2026	J	`jnl`	On Adversarial Attacks In Acoustic Localization. Trans. Mach. Learn. Res. Tamir Shor, Chaim Baskin, Alex M. Bronstein
2026	J	`jnl`	PREGEN: Uncovering Latent Thoughts in Composed Video Retrieval. CoRR Gabriele Serussi, David Vainshtein, Jonathan Kouchly, Dotan Di Castro, Chaim Baskin
2026	J	`jnl`	Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models. CoRR Eliron Rahimi, Elad Hirshel, Rom Himelstein, Amit Levi, Avi Mendelson, Chaim Baskin
2025	J	`jnl`	Adversarial Robustness in Parameter-Space Classifiers. CoRR Tamir Shor, Ethan Fetaya, Chaim Baskin, Alexander M. Bronstein
2025	J	`jnl`	CARES: Context-Aware Resolution Selector for VLMs. CoRR Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz
2025	A	`conf`	Class-Conditioned Transformation for Enhanced Robust Image Classification. WACV Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein
2025	A	`conf`	Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency. WACV Maor Dikter, Tsachi Blau, Chaim Baskin
2025	A*	`conf`	DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. CVPR Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof
2025	J	`jnl`	DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. CoRR Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof
2025	J	`jnl`	Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking. CoRR Mitchell Keren Taraday, Shahaf Wagner, Chaim Baskin
2025	J	`jnl`	Enhancing Jailbreak Attacks via Compliance-Refusal-Based Initialization. CoRR Amit Levi, Rom Himelstein, Yaniv Nemcovsky, Avi Mendelson, Chaim Baskin
2025	J	`jnl`	Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling. CoRR Jonathan Fhima, Jan Van Eijgen, Lennert Beeckmans, Thomas Jacobs, Moti Freiman, Luis Filipe Nakayama, Ingeborg Stalmans, Chaim Baskin, Joachim A. Behar
2025	J	`jnl`	FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks. CoRR Or Feldman, Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Chaim Baskin, Moshe Eliasof
2025	J	`jnl`	HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering. CoRR Dan Ben Ami, Gabriele Serussi, Kobi Cohen, Chaim Baskin
2025	—	`conf`	Jailbreak Attack Initializations as Extractors of Compliance Directions. EMNLP (Findings) Amit Levi, Rom Himelstein, Yaniv Nemcovsky, Avi Mendelson, Chaim Baskin
2025	J	`jnl`	On Adversarial Attacks In Acoustic Drone Localization. CoRR Tamir Shor, Chaim Baskin, Alexander M. Bronstein
2025	J	`jnl`	R CoRR Nate Rothschild, Moshe Kimhi, Avi Mendelson, Chaim Baskin
2025	J	`jnl`	Revisiting Node Affinity Prediction in Temporal Graphs. CoRR Krishna Sri Ipsit Mantri, Or Feldman, Moshe Eliasof, Chaim Baskin
2025	A	`conf`	Robot Instance Segmentation with Few Annotations for Grasping. WACV Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
2025	J	`jnl`	T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration. CoRR Tamir Shor, Moti Freiman, Chaim Baskin, Alexander M. Bronstein
2025	J	`jnl`	WAVECLIP: Wavelet Tokenization for Adaptive-Resolution CLIP. CoRR Moshe Kimhi, Erez Koifman, Ehud Rivlin, Eli Schwartz, Chaim Baskin
2024	A	`conf`	Active propulsion noise shaping for multi-rotor aircraft localization. IROS Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein
2024	J	`jnl`	Active propulsion noise shaping for multi-rotor aircraft localization. CoRR Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein
2024	J	`jnl`	Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters. CoRR Eden Grad, Moshe Kimhi, Lion Halika, Chaim Baskin
2024	J	`jnl`	Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency. CoRR Maor Dikter, Tsachi Blau, Chaim Baskin
2024	J	`jnl`	Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. CoRR Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin
2024	J	`jnl`	DEPTH: Discourse Education through Pre-Training Hierarchically. CoRR Zachary Bamberger, Ofek Glick, Chaim Baskin, Yonatan Belinkov
2024	—	`conf`	Hysteresis Activation Function for Efficient Inference. ENLSP Moshe Kimhi, Idan Kashani, Chaim Baskin, Avi Mendelson
2024	J	`jnl`	Hysteresis Activation Function for Efficient Inference. CoRR Moshe Kimhi, Idan Kashani, Avi Mendelson, Chaim Baskin
2024	J	`jnl`	Leveraging Latents for Efficient Thermography Classification and Segmentation. CoRR Tamir Shor, Chaim Baskin, Alexander M. Bronstein
2024	—	`conf`	Leveraging Temporal Graph Networks Using Module Decoupling. LoG Or Feldman, Chaim Baskin
2024	J	`jnl`	Robot Instance Segmentation with Few Annotations for Grasping. CoRR Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
2024	J	`jnl`	Semi-Supervised Semantic Segmentation via Marginal Contextual Information. Trans. Mach. Learn. Res. Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
2024	A*	`conf`	Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks. NeurIPS Mitchell Keren Taraday, Almog David, Chaim Baskin
2024	J	`jnl`	Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks. CoRR Mitchell Keren Taraday, Almog David, Chaim Baskin
2024	J	`jnl`	Single Image Test-Time Adaptation for Segmentation. Trans. Mach. Learn. Res. Klára Janousková, Tamir Shor, Chaim Baskin, Jiri Matas
2024	J	`jnl`	Sparse patches adversarial attacks via extrapolating point-wise information. CoRR Yaniv Nemcovsky, Avi Mendelson, Chaim Baskin
2024	J	`jnl`	TEAM PILOT - Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories. CoRR Tamir Shor, Chaim Baskin, Alexander M. Bronstein
2023	J	`jnl`	Adversarial robustness via noise injection in smoothed models. Appl. Intell. Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex M. Bronstein, Avi Mendelson
2023	J	`jnl`	Classifier Robustness Enhancement Via Test-Time Transformation. CoRR Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alexander M. Bronstein
2023	A*	`conf`	Enhanced Meta Label Correction for Coping with Label Corruption. ICCV Mitchell Keren Taraday, Chaim Baskin
2023	J	`jnl`	Enhanced Meta Label Correction for Coping with Label Corruption. CoRR Mitchell Keren Taraday, Chaim Baskin
2023	J	`jnl`	Leveraging Temporal Graph Networks Using Module Decoupling. CoRR Or Feldman, Chaim Baskin
2023	J	`jnl`	Semi-Supervised Semantic Segmentation via Marginal Contextual Information. CoRR Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
2023	J	`jnl`	Single Image Test-Time Adaptation for Segmentation. CoRR Klára Janousková, Tamir Shor, Chaim Baskin, Jiri Matas
2023	A*	`conf`	Strategic Classification with Graph Neural Networks. ICLR Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
2023	J	`jnl`	Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings. Trans. Mach. Learn. Res. Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin
2022	—	`conf`	A Simple and Universal Rotation Equivariant Point-Cloud Network. TAG-ML Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
2022	J	`jnl`	A Simple and Universal Rotation Equivariant Point-cloud Network. CoRR Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym
2022	J	`jnl`	Bimodal Distributed Binarized Neural Networks. CoRR Tal Rozen, Moshe Kimhi, Brian Chmiel, Avi Mendelson, Chaim Baskin
2022	A	`conf`	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. WACV Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
2022	A*	`conf`	End-to-End Referring Video Object Segmentation with Multimodal Transformers. CVPR Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin
2022	J	`jnl`	FBM: Fast-Bit Allocation for Mixed-Precision Quantization. CoRR Moshe Kimhi, Tal Rozen, Tal Kopetz, Olya Sirkin, Avi Mendelson, Chaim Baskin
2022	J	`jnl`	GoToNet: Fast Monocular Scene Exposure and Exploration. CoRR Tom Avrech, Evgenii Zheltonozhskii, Chaim Baskin, Ehud Rivlin
2022	J	`jnl`	GoToNet: Fast Monocular Scene Exposure and Exploration. J. Intell. Robotic Syst. Tom Avrech, Evgenii Zheltonozhskii, Chaim Baskin, Ehud Rivlin
2022	J	`jnl`	On Recoverability of Graph Neural Network Representations. CoRR Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Avi Mendelson
2022	—	`conf`	Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. ACCV (7) Yaniv Nemcovsky, Matan Jacoby, Alex M. Bronstein, Chaim Baskin
2022	J	`jnl`	Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. CoRR Yaniv Nemcovsky, Matan Yaakoby, Alex M. Bronstein, Chaim Baskin
2022	J	`jnl`	Single-node attacks for fooling graph neural networks. Neurocomputing Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon
2022	J	`jnl`	Strategic Classification with Graph Neural Networks. CoRR Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld
2022	—	`conf`	Weakly Supervised Discovery of Semantic Attributes. CLeaR Ameen Ali, Tomer Galanti, Evgenii Zheltonozhskii, Chaim Baskin, Lior Wolf
2022	J	`jnl`	Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings. CoRR Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin
2021	J	`jnl`	CAT: Compression-Aware Training for bandwidth reduction. J. Mach. Learn. Res. Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2021	J	`jnl`	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
2021	—	`—`	Designing Deep Neural Networks for Efficient and Robust Inference. Chaim Baskin
2021	J	`jnl`	End-to-End Referring Video Object Segmentation with Multimodal Transformers. CoRR Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin
2021	J	`jnl`	Intersection Regularization for Extracting Semantic Attributes. CoRR Ameen Ali, Tomer Galanti, Evgeniy Zheltonozhskiy, Chaim Baskin, Lior Wolf
2021	J	`jnl`	Loss aware post-training quantization. Mach. Learn. Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	Colored Noise Injection for Training Adversarially Robust Neural Networks. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Yaniv Nemcovsky, Brian Chmiel, Avi Mendelson, Alex M. Bronstein
2020	B	`conf`	Feature Map Transform Coding for Energy-Efficient CNN Inference. IJCNN Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	HCM: Hardware-Aware Complexity Metric for Neural Network Architectures. CoRR Alex Karbachevsky, Chaim Baskin, Evgenii Zheltonozhskii, Yevgeny Yermolin, Freddy Gabbay, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	Self-Supervised Learning for Large-Scale Unsupervised Image Clustering. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein, Avi Mendelson
2020	J	`jnl`	Single-Node Attack for Fooling Graph Neural Networks. CoRR Ben Finkelshtein, Chaim Baskin, Evgenii Zheltonozhskii, Uri Alon
2019	J	`jnl`	Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. CoRR Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein
2019	B	`conf`	Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. ICIP Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein
2019	J	`jnl`	CAT: Compression-Aware Training for bandwidth reduction. CoRR Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Feature Map Transform Coding for Energy-Efficient CNN Inference. CoRR Brian Chmiel, Chaim Baskin, Ron Banner, Evgenii Zheltonozhskii, Yevgeny Yermolin, Alex Karbachevsky, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Loss Aware Post-training Quantization. CoRR Yury Nahshan, Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Smoothed Inference for Adversarially-Trained Models. CoRR Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks. CoRR Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii, Brian Chmiel, Itay Evron, Alexander M. Bronstein, Avi Mendelson
2019	J	`jnl`	UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson
2018	J	`jnl`	Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. CoRR Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes
2018	J	`jnl`	NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein
2018	—	`conf`	Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform. IPDPS Workshops Chaim Baskin, Natan Liss, Evgenii Zheltonozhskii, Alexander M. Bronstein, Avi Mendelson
2018	J	`jnl`	UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson
2017	—	`conf`	Efficient Horizon Line Detection Using an Energy Function. RACS Evgeny Gershikov, Chaim Baskin
2017	J	`jnl`	Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform. CoRR Chaim Baskin, Natan Liss, Avi Mendelson, Evgenii Zheltonozhskii