Search Results for author: Anjali Gupta

Found 3 papers, 1 papers with code

GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks

no code implementations20 Feb 2024 Anuj Kumar Sirohi, Anjali Gupta, Sayan Ranu, Sandeep Kumar, Amitabha Bagchi

Extensive experimentation on real-world datasets showcases the efficacy of GRAPHGINI in making significant improvements in individual fairness compared to all currently available state-of-the-art methods while maintaining utility and group equality.

Fairness

Test-Time Adaptation for Depth Completion

no code implementations5 Feb 2024 Hyoungseob Park, Anjali Gupta, Alex Wong

During test time, sparse depth features are projected using this map as a proxy for source domain features and are used as guidance to train a set of auxiliary parameters (i. e., adaptation layer) to align image and sparse depth features from the target test domain to that of the source domain.

Depth Completion Test-time Adaptation

Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers

1 code implementation7 May 2022 Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

With the increasing popularity of food delivery platforms, it has become pertinent to look into the working conditions of the 'gig' workers in these platforms, especially providing them fair wages, reasonable working hours, and transparency on work availability.

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