Koby Bibas

Orcid: 0000-0003-2812-1253

According to our database1, Koby Bibas authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks.
Entropy, February, 2024

2023
Semi-supervised Adversarial Learning for Complementary Item Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

2022
Beyond Ridge Regression for Distribution-Free Data.
CoRR, 2022

Collaborative Image Understanding.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness.
CoRR, 2021

The Predictive Normalized Maximum Likelihood for Over-parameterized Linear Regression with Norm Constraint: Regret and Double Descent.
CoRR, 2021

Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks.
CoRR, 2019

A New Look at an Old Problem: A Universal Learning Approach to Linear Regression.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Balancing Specialization, Generalization, and Compression for Detection and Tracking.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


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