Samira Shabanian

Joined

October 2017

Names

Samira Shabanian

Emails

****@gmail.com (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Researcher

Microsoft (microsoft.com)

2016 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Should We Attend More or Less? Modulating Attention for Fairness
Abdelrahman Zayed, Goncalo Mordido, Samira Shabanian, Sarath Chandar
- COLM
- Readers: Everyone
Successor Features for Efficient Multi-Subject Controlled Text Generation
Meng Cao, Mehdi Fatemi, Jackie CK Cheung, Samira Shabanian
- ICML 2024 Poster
- Readers: Everyone
Successor Features for Efficient Multi-Subject Controlled Text Generation
Meng Cao, Mehdi Fatemi, Jackie CK Cheung, Samira Shabanian
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness
Abdelrahman Zayed, Prasanna Parthasarathi, Goncalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
- 27 Jun 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Systematic Rectification of Language Models via Dead-end Analysis
Meng Cao, Mehdi Fatemi, Jackie CK Cheung, Samira Shabanian
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics
Charan Reddy, Deepak Sharma, Soroush Mehri, Adriana Romero-Soriano, Samira Shabanian, Sina Honari
- Published: 29 Jul 2021, Last Modified: 24 May 2023
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics
Charan Reddy, Soroush Mehri, Deepak Sharma, Samira Shabanian, Sina Honari
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

Samira Shabanian

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Should We Attend More or Less? Modulating Attention for Fairness

Successor Features for Efficient Multi-Subject Controlled Text Generation

Successor Features for Efficient Multi-Subject Controlled Text Generation

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness

Systematic Rectification of Language Models via Dead-end Analysis

Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics

Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics

Co-Authors