Nanda, Vedant

11 publications

TMLR 2025 Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

ICLR 2025 Lawma: The Power of Specialization for Legal Annotation Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore

NeurIPSW 2024 The Impact of Inference Acceleration Strategies on Bias of Large Language Models Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar

TMLR 2024 Understanding the Role of Invariance in Transfer Learning Till Speicher, Vedant Nanda, Krishna P. Gummadi

NeurIPS 2023 Diffused Redundancy in Pre-Trained Representations Vedant Nanda, Till Speicher, John Dickerson, Krishna Gummadi, Soheil Feizi, Adrian Weller

AAAI 2023 Do Invariances in Deep Neural Networks Align with Human Perception? Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

AAAI 2023 Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

CoLLAs 2023 What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva

ICML 2022 Measuring Representational Robustness of Neural Networks Through Shared Invariances Vedant Nanda, Till Speicher, Camila Kolling, John P Dickerson, Krishna Gummadi, Adrian Weller

AAAI 2020 Balancing the Tradeoff Between Profit and Fairness in Rideshare Platforms During High-Demand Hours Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

ICML 2019 On the Long-Term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation Through Social Learning Hoda Heidari, Vedant Nanda, Krishna Gummadi