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Avijit Ghosh
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2020 – today
- 2024
- [c12]Jeffrey L. Gleason, Avijit Ghosh, Ronald E. Robertson, Christo Wilson:
Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results. WWW 2024: 1249-1259 - [i19]Sven Cattell, Avijit Ghosh:
Coordinated Disclosure for AI: Beyond Security Vulnerabilities. CoRR abs/2402.07039 (2024) - [i18]Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen:
Quantifying Misalignment Between Agents. CoRR abs/2406.04231 (2024) - [i17]Avijit Ghosh, Tomo Lazovich, Kristian Lum, Christo Wilson:
Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study. CoRR abs/2409.08135 (2024) - [i16]Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang, Kavel Rao, Will Smith, Shayne Longpre, Avijit Ghosh, Christopher Fiorelli, Michelle Hoang, Sven Cattell, Nouha Dziri:
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices. CoRR abs/2410.12104 (2024) - 2023
- [j2]Suzan Verberne, Hussein Suleman, Luca Soldaini, Avijit Ghosh:
Report on the SIGIR 2023 Session on Diversity, Equity and Inclusivity. SIGIR Forum 57(2): 11:1-11:2 (2023) - [c11]Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal:
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. AIES 2023: 375-386 - [c10]Avijit Ghosh, Pablo Kvitca, Christo Wilson:
When Fair Classification Meets Noisy Protected Attributes. AIES 2023: 679-690 - [c9]Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - [i15]Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i14]Avijit Ghosh, Pablo Kvitca, Christo Wilson:
When Fair Classification Meets Noisy Protected Attributes. CoRR abs/2307.03306 (2023) - [i13]Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal:
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. CoRR abs/2307.10223 (2023) - [i12]Avijit Ghosh, Dhanya Lakshmi:
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI. CoRR abs/2308.04448 (2023) - 2022
- [c8]Avijit Ghosh, Aalok Shanbhag, Christo Wilson:
FairCanary: Rapid Continuous Explainable Fairness. AIES 2022: 307-316 - [c7]Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Aaron Rieke, Alan Mislove:
Algorithms that "Don't See Color": Measuring Biases in Lookalike and Special Ad Audiences. AIES 2022: 609-616 - [c6]Avijit Ghosh, Matthew Jagielski, Christo Wilson:
Subverting Fair Image Search with Generative Adversarial Perturbations. FAccT 2022: 637-650 - [i11]Avijit Ghosh, Matthew Jagielski, Christo Wilson:
Subverting Fair Image Search with Generative Adversarial Perturbations. CoRR abs/2205.02414 (2022) - [i10]Avijit Ghosh, Genoveva Fossas:
Can There be Art Without an Artist? CoRR abs/2209.07667 (2022) - 2021
- [c5]Avijit Ghosh, Lea Genuit, Mary Reagan:
Characterizing Intersectional Group Fairness with Worst-Case Comparisons. AIDBEI 2021: 22-34 - [c4]Christo Wilson, Avijit Ghosh, Shan Jiang, Alan Mislove, Lewis J. Baker, Janelle Szary, Kelly Trindel, Frida Polli:
Building and Auditing Fair Algorithms: A Case Study in Candidate Screening. FAccT 2021: 666-677 - [c3]Avijit Ghosh, Ritam Dutt, Christo Wilson:
When Fair Ranking Meets Uncertain Inference. SIGIR 2021: 1033-1043 - [i9]Avijit Ghosh, Lea Genuit, Mary Reagan:
Characterizing Intersectional Group Fairness with Worst-Case Comparisons. CoRR abs/2101.01673 (2021) - [i8]Aalok Shanbhag, Avijit Ghosh, Josh Rubin:
Unified Shapley Framework to Explain Prediction Drift. CoRR abs/2102.07862 (2021) - [i7]Avijit Ghosh, Ritam Dutt, Christo Wilson:
When Fair Ranking Meets Uncertain Inference. CoRR abs/2105.02091 (2021) - [i6]Avijit Ghosh, Aalok Shanbhag:
FairCanary: Rapid Continuous Explainable Fairness. CoRR abs/2106.07057 (2021)
2010 – 2019
- 2019
- [c2]Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty:
Public Sphere 2.0: Targeted Commenting in Online News Media. ECIR (2) 2019: 180-187 - [i5]Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty:
Public Sphere 2.0: Targeted Commenting in Online News Media. CoRR abs/1902.07946 (2019) - [i4]Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Alan Mislove, Aaron Rieke:
Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences. CoRR abs/1912.07579 (2019) - 2018
- [c1]Ritam Dutt, Kaustubh Hiware, Avijit Ghosh, Rameshwar Bhaskaran:
SAVITR: A System for Real-time Location Extraction from Microblogs during Emergencies. WWW (Companion Volume) 2018: 1643-1649 - [i3]Ritam Dutt, Kaustubh Hiware, Avijit Ghosh, Rameshwar Bhaskaran:
SAVITR: A System for Real-time Location Extraction from Microblogs during Emergencies. CoRR abs/1801.07757 (2018) - 2017
- [i2]Avijit Ghosh, Agam Gupta, Divya Sharma, Uttam Kumar Sarkar:
WebSelect: A Research Prototype for Optimizing Ad Exposures based on Network Structure. CoRR abs/1701.06711 (2017)
2000 – 2009
- 2009
- [i1]Pabitra Pal Choudhury, Sudhakar Sahoo, Sarif Sk. Hassan, Satrajit Basu, Dibyendu Ghosh, Debarun Kar, Abhishek Ghosh, Avijit Ghosh, Amal K. Ghosh:
Classification of Cellular Automata Rules Based on Their Properties. CoRR abs/0905.1769 (2009) - 2007
- [j1]David J. Miller, Avijit Ghosh:
A fully adaptive reaction-diffusion integration scheme with applications to systems biology. J. Comput. Phys. 226(2): 1509-1531 (2007)
Coauthor Index
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