Koby Bibas

Researcher, Facebook

Joined

September 2019

Names

Koby Bibas (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Facebook (meta.com)

2022 – Present

PhD student

Tel Aviv University, Tel Aviv University (tauex.tau.ac.il)

2018 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks
Shachar Shayovitz, Koby Bibas, Meir Feder
- Entropy 2024
- Readers: Everyone
Quantifying the Prediction Uncertainty of Machine Learning Models for Individual Data
Koby Bibas
- CoRR 2024
- Readers: Everyone
Semi-supervised Adversarial Learning for Complementary Item Recommendation
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
- Published: 01 Jan 2023, Last Modified: 28 Sept 2023
- WWW 2023
- Readers: Everyone
Semi-supervised Adversarial Learning for Complementary Item Recommendation
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
- Published: 01 Jan 2023, Last Modified: 28 Sept 2023
- CoRR 2023
- Readers: Everyone
Beyond Ridge Regression for Distribution-Free Data
Koby Bibas, Meir Feder
- CoRR 2022
- Readers: Everyone
Collaborative Image Understanding
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
- Published: 01 Jan 2022, Last Modified: 28 Sept 2023
- CIKM 2022
- Readers: Everyone
Collaborative Image Understanding
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
- Published: 01 Jan 2022, Last Modified: 28 Sept 2023
- CoRR 2022
- Readers: Everyone
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas, Meir Feder, Tal Hassner
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction
Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan
- ISBI 2021
- Readers: Everyone
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
Uriya Pesso, Koby Bibas, Meir Feder
- CoRR 2021
- Readers: Everyone

View all 19 publications

Co-Authors