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Koby Bibas
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 17
Top Topics
Normalized Maximum Likelihood
Change Point Detection
Image Understanding
Linear Regression
Top Venues
CoRR
ISBI
ISIT
BMVC
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Publications
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Shachar Shayovitz
,
Koby Bibas
,
Meir Feder
Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks.
Entropy
26 (2) (2024)
Koby Bibas
,
Oren Sar Shalom
,
Dietmar Jannach
Semi-supervised Adversarial Learning for Complementary Item Recommendation.
WWW
(2023)
Koby Bibas
,
Oren Sar Shalom
,
Dietmar Jannach
Semi-supervised Adversarial Learning for Complementary Item Recommendation.
CoRR
(2023)
Koby Bibas
,
Oren Sar Shalom
,
Dietmar Jannach
Collaborative Image Understanding.
CIKM
(2022)
Koby Bibas
,
Meir Feder
Beyond Ridge Regression for Distribution-Free Data.
CoRR
(2022)
Koby Bibas
,
Oren Sar Shalom
,
Dietmar Jannach
Collaborative Image Understanding.
CoRR
(2022)
Koby Bibas
,
Meir Feder
The Predictive Normalized Maximum Likelihood for Over-parameterized Linear Regression with Norm Constraint: Regret and Double Descent.
CoRR
(2021)
Uriya Pesso
,
Koby Bibas
,
Meir Feder
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness.
CoRR
(2021)
Koby Bibas
,
Gili Weiss-Dicker
,
Dana Cohen
,
Noa Cahan
,
Hayit Greenspan
Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction.
ISBI
(2021)
Koby Bibas
,
Meir Feder
,
Tal Hassner
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection.
NeurIPS
(2021)
Koby Bibas
,
Meir Feder
,
Tal Hassner
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection.
CoRR
(2021)
Koby Bibas
,
Gili Weiss-Dicker
,
Dana Cohen
,
Noa Cahan
,
Hayit Greenspan
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction.
CoRR
(2021)
Koby Bibas
,
Yaniv Fogel
,
Meir Feder
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression.
ISIT
(2019)
Koby Bibas
,
Yaniv Fogel
,
Meir Feder
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression.
CoRR
(2019)
Koby Bibas
,
Yaniv Fogel
,
Meir Feder
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks.
CoRR
(2019)
Dotan Kaufman
,
Koby Bibas
,
Eran Borenstein
,
Michael Chertok
,
Tal Hassner
Balancing Specialization, Generalization, and Compression for Detection and Tracking.
CoRR
(2019)
Dotan Kaufman
,
Koby Bibas
,
Eran Borenstein
,
Michael Chertok
,
Tal Hassner
Balancing Specialization, Generalization, and Compression for Detection and Tracking.
BMVC
(2019)