Vedant Nanda

According to our database, Vedant Nanda authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Understanding the Role of Invariance in Transfer Learning.

Till Speicher, Vedant Nanda, Krishna P. Gummadi

Trans. Mach. Learn. Res., 2024

The Impact of Inference Acceleration Strategies on Bias of LLMs.

Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar

CoRR, 2024

Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.

Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

Lawma: The Power of Specialization for Legal Tasks.

Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore

CoRR, 2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

2023

Pointwise Representational Similarity.

Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

CoRR, 2023

Diffused Redundancy in Pre-trained Representations.

Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation.

Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva

Proceedings of the Conference on Lifelong Learning Agents, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Measuring Representational Robustness of Neural Networks Through Shared Invariances.

Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2022

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual.

Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Exploring Alignment of Representations with Human Perception.

Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

CoRR, 2021

Technical Challenges for Training Fair Neural Networks.

Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein

CoRR, 2021

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.

Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Unifying Model Explainability and Robustness via Machine-Checkable Concepts.

Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar

CoRR, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.

Hoda Heidari, Vedant Nanda, Krishna P. Gummadi

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies.

Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

An Empirical Analysis of Facebook's Free Basics.

Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer, Zaid Ahmed Farooq, Taslim Arefin Khan, Ponnurangam Kumaraguru, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi

Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

Leveraging Facebook's Free Basics Engine for Web Service Deployment in Developing Regions.

Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaraguru, Krishna P. Gummadi

Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017