Chaim Baskin

Or Litany

Trans. Mach. Learn. Res., 2024

Single Image Test-Time Adaptation for Segmentation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods.

[BibT_eX]

[DOI]

Tsachi Blau

Moshe Kimhi

Yonatan Belinkov

CoRR, 2024

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks.

[BibT_eX]

[DOI]

Mitchell Keren Taraday

Almog David

CoRR, 2024

TEAM PILOT - Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories.

[BibT_eX]

[DOI]

Tamir Shor

CoRR, 2024

Robot Instance Segmentation with Few Annotations for Grasping.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters.

[BibT_eX]

[DOI]

CoRR, 2024

Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency.

[BibT_eX]

[DOI]

Maor Dikter

Tsachi Blau

CoRR, 2024

DEPTH: Discourse Education through Pre-Training Hierarchically.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Latents for Efficient Thermography Classification and Segmentation.

[BibT_eX]

[DOI]

Tamir Shor

CoRR, 2024

Active propulsion noise shaping for multi-rotor aircraft localization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Adversarial robustness via noise injection in smoothed models.

[BibT_eX]

[DOI]

Yaniv Nemcovsky

Appl. Intell., April, 2023

Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Leveraging Temporal Graph Networks Using Module Decoupling.

[BibT_eX]

[DOI]

Or Feldman

CoRR, 2023

Classifier Robustness Enhancement Via Test-Time Transformation.

[BibT_eX]

[DOI]

CoRR, 2023

Strategic Classification with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhanced Meta Label Correction for Coping with Label Corruption.

[BibT_eX]

[DOI]

Mitchell Keren Taraday

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

GoToNet: Fast Monocular Scene Exposure and Exploration.

[BibT_eX]

[DOI]

Tom Avrech

Ehud Rivlin

J. Intell. Robotic Syst., 2022

Single-node attacks for fooling graph neural networks.

[BibT_eX]

[DOI]

Ben Finkelshtein

Uri Alon

Neurocomputing, 2022

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.

[BibT_eX]

[DOI]

CoRR, 2022

FBM: Fast-Bit Allocation for Mixed-Precision Quantization.

[BibT_eX]

[DOI]

CoRR, 2022

Bimodal Distributed Binarized Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

On Recoverability of Graph Neural Network Representations.

[BibT_eX]

[DOI]

Maxim Fishman

Ron Banner

CoRR, 2022

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Simple and Universal Rotation Equivariant Point-Cloud Network.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

End-to-End Referring Video Object Segmentation with Multimodal Transformers.

[BibT_eX]

[DOI]

Adam Botach

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Weakly Supervised Discovery of Semantic Attributes.

[BibT_eX]

[DOI]

Ameen Ali

Tomer Galanti

Lior Wolf

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Designing Deep Neural Networks for Efficient and Robust Inference.

[BibT_eX]

[DOI]

PhD thesis, 2021

Loss aware post-training quantization.

[BibT_eX]

[DOI]

Yury Nahshan

Ron Banner

Mach. Learn., 2021

CAT: Compression-Aware Training for bandwidth reduction.

[BibT_eX]

[DOI]

Ron Banner

J. Mach. Learn. Res., 2021

Intersection Regularization for Extracting Semantic Attributes.

[BibT_eX]

[DOI]

Ameen Ali

Tomer Galanti

Evgeniy Zheltonozhskiy

Lior Wolf

CoRR, 2021

2020

Single-Node Attack for Fooling Graph Neural Networks.

[BibT_eX]

[DOI]

Ben Finkelshtein

Uri Alon

CoRR, 2020

Self-Supervised Learning for Large-Scale Unsupervised Image Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

HCM: Hardware-Aware Complexity Metric for Neural Network Architectures.

[BibT_eX]

[DOI]

Alex Karbachevsky

CoRR, 2020

Colored Noise Injection for Training Adversarially Robust Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Feature Map Transform Coding for Energy-Efficient CNN Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.

[BibT_eX]

[DOI]

Eli Schwartz

ACM Trans. Comput. Syst., 2019

Smoothed Inference for Adversarially-Trained Models.

[BibT_eX]

[DOI]

Yaniv Nemcovsky

CoRR, 2019

Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Yochai Zur

Itay Evron

CoRR, 2019

Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware.

[BibT_eX]

[DOI]

CoRR, 2018

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.

[BibT_eX]

[DOI]

Yoav Chai

Eli Schwartz

CoRR, 2018

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks.

[BibT_eX]

[DOI]

Eli Schwartz

CoRR, 2018

Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Horizon Line Detection Using an Energy Function.

[BibT_eX]

[DOI]

Evgeny Gershikov