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Varun Nagaraj Rao
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2020 – today
- 2024
- [c6]Jane Hsieh, Angie Zhang, Seyun Kim, Varun Nagaraj Rao, Samantha Dalal, Alexandra Mateescu, Rafael Do Nascimento Grohmann, Motahhare Eslami, Haiyi Zhu:
Worker Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities. CSCW Companion 2024: 697-700 - [i6]Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal, Dan Calacci, Andrés Monroy-Hernández:
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums. CoRR abs/2405.05345 (2024) - [i5]Varun Nagaraj Rao, Samantha Dalal, Eesha Agarwal, Dana Calacci, Andrés Monroy-Hernández:
Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy. CoRR abs/2406.10768 (2024) - [i4]Varun Nagaraj Rao, Siddharth Choudhary, Aditya Deshpande, Ravi Kumar Satzoda, Srikar Appalaraju:
RAVEN: Multitask Retrieval Augmented Vision-Language Learning. CoRR abs/2406.19150 (2024) - [i3]Jane Hsieh, Angie Zhang, Seyun Kim, Varun Nagaraj Rao, Samantha Dalal, Alexandra Mateescu, Rafael Do Nascimento Grohmann, Motahhare Eslami, Min Kyung Lee, Haiyi Zhu:
Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities. CoRR abs/2409.00737 (2024) - 2023
- [c5]Varun Nagaraj Rao, Aleksandra Korolova:
Discrimination through Image Selection by Job Advertisers on Facebook. FAccT 2023: 1772-1788 - [c4]Michael Luu, Matthew Ferland, Varun Nagaraj Rao, Arushi Arora, Randy Huynh, Frederick Reiber, Jennifer Wong-Ma, Michael Shindler:
What is an Algorithms Course?: Survey Results of Introductory Undergraduate Algorithms Courses in the U.S. SIGCSE (1) 2023: 284-290 - [i2]Varun Nagaraj Rao, Aleksandra Korolova:
Discrimination through Image Selection by Job Advertisers on Facebook. CoRR abs/2306.07527 (2023) - 2021
- [i1]Varun Nagaraj Rao, Xingjian Zhen, Karen Hovsepian, Mingwei Shen:
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations. CoRR abs/2105.02626 (2021) - 2020
- [c3]Varun Nagaraj Rao, Mingwei Shen:
Misspelling Detection from Noisy Product Images. COLING (Industry) 2020: 124-135
2010 – 2019
- 2018
- [c2]Varun Nagaraj Rao, Ramadas Mahale, Sunil Pai, Viraj Kumar:
Extracting and Visualising Character Associations in Literary Fiction using Association Rule Learning. ICACCI 2018: 1095-1101 - 2017
- [c1]Tze Meng Low, Varun Nagaraj Rao, Matthew Lee, Doru-Thom Popovici, Franz Franchetti, Scott McMillan:
First look: Linear algebra-based triangle counting without matrix multiplication. HPEC 2017: 1-6
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