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Vedant Nanda
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2020 – today
- 2024
- [j1]Till Speicher, Vedant Nanda, Krishna P. Gummadi:
Understanding the Role of Invariance in Transfer Learning. Trans. Mach. Learn. Res. 2024 (2024) - [i15]Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi:
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR abs/2404.12957 (2024) - [i14]Till Speicher, Vedant Nanda, Krishna P. Gummadi:
Understanding the Role of Invariance in Transfer Learning. CoRR abs/2407.04325 (2024) - [i13]Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore:
Lawma: The Power of Specialization for Legal Tasks. CoRR abs/2407.16615 (2024) - [i12]Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi:
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. CoRR abs/2407.19262 (2024) - 2023
- [c13]Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. AAAI 2023: 5624-5632 - [c12]Vedant Nanda, Ayan Majumdar
, Camila Kolling, John P. Dickerson, Krishna P. Gummadi
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023: 9277-9285 - [c11]Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva:
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoLLAs 2023: 601-619 - [c10]Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. NeurIPS 2023 - [i11]Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
Pointwise Representational Similarity. CoRR abs/2305.19294 (2023) - [i10]Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi
Diffused Redundancy in Pre-trained Representations. CoRR abs/2306.00183 (2023) - [i9]Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva:
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoRR abs/2307.06006 (2023) - 2022
- [c9]Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. AAMAS 2022: 1583-1585 - [c8]Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi
Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML 2022: 16368-16382 - [i8]Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson:
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. CoRR abs/2201.06021 (2022) - [i7]Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi
Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR abs/2206.11939 (2022) - 2021
- [c7]Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson:
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT 2021: 466-477 - [i6]Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein:
Technical Challenges for Training Fair Neural Networks. CoRR abs/2102.06764 (2021) - [i5]Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller:
Exploring Alignment of Representations with Human Perception. CoRR abs/2111.14726 (2021) - 2020
- [c6]Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. AAAI 2020: 2210-2217 - [c5]Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. AIES 2020: 131 - [i4]Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson:
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR abs/2006.12621 (2020) - [i3]Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar:
Unifying Model Explainability and Robustness via Machine-Checkable Concepts. CoRR abs/2007.00251 (2020)
2010 – 2019
- 2019
- [c4]Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. ICML 2019: 2692-2701 - [i2]Hoda Heidari, Vedant Nanda, Krishna P. Gummadi:
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. CoRR abs/1903.01209 (2019) - [i1]Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan:
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours. CoRR abs/1912.08388 (2019) - 2018
- [c3]Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru:
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies. WWW (Companion Volume) 2018: 1341-1345 - 2017
- [c2]Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaraguru, Krishna P. Gummadi
Leveraging Facebook's Free Basics Engine for Web Service Deployment in Developing Regions. ICTD 2017: 7:1-7:11 - [c1]Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer
An Empirical Analysis of Facebook's Free Basics. SIGMETRICS (Abstracts) 2017: 37-38
Coauthor Index
aka: John P. Dickerson
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last updated on 2024-08-25 19:11 CEST by the dblp team
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