Ido Ben-Shaul

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Multiple Instance

Smooth Functions

Generalization Bounds

Top Venues

Trans. Mach. Learn. Res.

EMNLP (Industry Track)

Publications

Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
Reverse Engineering Self-Supervised Learning. NeurIPS (2023)
Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen
Deep Learning Solution of the Eigenvalue Problem for Differential Operators. Neural Comput. 35 (6) (2023)
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. Trans. Mach. Learn. Res. 2023 (2023)
Ido Ben-Shaul, Tomer Galanti, Shai Dekel
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions. CoRR (2023)
Tomer Galanti, Liane Galanti, Ido Ben-Shaul
Comparative Generalization Bounds for Deep Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Gilad Fuchs, Pavel Petrov, Ido Ben-Shaul, Matan Mandelbrod, Oded Zinman, Dmitry Basin, Vadim Arshavsky
Pricing the Nearly Known - When Semantic Similarity is Just not Enough. eCom@SIGIR (2023)
Ido Ben-Shaul, Ravid Shwartz-Ziv, Tomer Galanti, Shai Dekel, Yann LeCun
Reverse Engineering Self-Supervised Learning. CoRR (2023)
Gilad Fuchs, Ido Ben-Shaul, Matan Mandelbrod
Is it out yet? Automatic Future Product Releases Extraction from Web Data. EMNLP (Industry Track) (2022)
Ido Ben-Shaul, Shai Dekel
Nearest Class-Center Simplification through Intermediate Layers. TAG-ML (2022)
Ido Ben-Shaul, Shai Dekel
Nearest Class-Center Simplification through Intermediate Layers. CoRR (2022)
Ido Ben-Shaul, Shai Dekel
Sparsity-Probe: Analysis tool for Deep Learning Models. CoRR (2021)
Ido Ben-Shaul, Leah Bar, Nir A. Sochen
Solving the functional Eigen-Problem using Neural Networks. CoRR (2020)
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
Certainty Pooling for Multiple Instance Learning. ICPR Workshops (1) (2020)
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
Certainty Pooling for Multiple Instance Learning. CoRR (2020)