Belhassen Bayar

Researcher, Amazon

Joined

October 2023

Names

Belhassen Bayar (Preferred)

Emails

****@amazon.com (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Researcher

Amazon (amazon.com)

2018 – Present

Advisors, Relations & Conflicts

PhD Advisor

2014 – 2018

Expertise

No areas of expertise listed

Publications

Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar, Srinivasan H. Sengamedu, Meng Jiang
- ACL (1) 2025
- Readers: Everyone
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search
Farnoosh Javadi, Phanideep Gampa, Alyssa Woo, Xingxing Geng, Hang Zhang, Jose Sepulveda, Belhassen Bayar, Fei Wang
- CoRR 2024
- Readers: Everyone
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations
Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen
- CoRR 2023
- Readers: Everyone
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations
Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina
- CoRR 2023
- Readers: Everyone
Distantly Supervised Transformers For E-Commerce Product QA
Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
- 2021 (modified: 10 Feb 2023)
- CoRR 2021
- Readers: Everyone
Distantly Supervised Transformers For E-Commerce Product QA
Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
- 2021 (modified: 10 Feb 2023)
- NAACL-HLT 2021
- Readers: Everyone
A Video Camera Model Identification System Using Deep Learning and Fusion
Brian C. Hosler, Owen Mayer, Belhassen Bayar, Xinwei Zhao, Chen Chen, James A. Shackleford, Matthew Christopher Stamm
- 2019 (modified: 17 Sept 2021)
- ICASSP 2019
- Readers: Everyone
Learning Unified Deep-Features for Multiple Forensic Tasks
Owen Mayer, Belhassen Bayar, Matthew C. Stamm
- IH&MMSec 2018
- Readers: Everyone
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection
Belhassen Bayar, Matthew C. Stamm
- IEEE Trans. Inf. Forensics Secur. 2018
- Readers: Everyone
Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks
Belhassen Bayar, Matthew C. Stamm
- Media Watermarking, Security, and Forensics 2018
- Readers: Everyone

View all 21 publications

Co-Authors

View all 28 co-authors