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Krishna P. GummadiHead, Networked Systems Group, MPI-SWS在 mpi-sws.org 的电子邮件经过验证
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AI在 cs.umd.edu 的电子邮件经过验证
Till SpeicherPhD student, Planck Institute for Software Systems (MPI-SWS)在 mpi-sws.org 的电子邮件经过验证
Soheil FeiziUniversity of Maryland, College Park在 cs.umd.edu 的电子邮件经过验证
Aravind SrinivasanProfessor of Computer Science and Distinguished University Professor, University of Maryland在 umd.edu 的电子邮件经过验证
Camila KollingMax-Planck Institute for Software Systems (MPI-SWS)在 mpi-sws.org 的电子邮件经过验证
Adrian WellerDirector of Research, Machine Learning, University of Cambridge在 eng.cam.ac.uk 的电子邮件经过验证
Samuel DooleyMeta在 meta.com 的电子邮件经过验证
Hoda HeidariCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
Ponnurangam Kumaraguru "PK"#ProfGiri Computer Science @ IIIT Hyderabad, Alumni @ Carnegie Mellon & @ BITS Pilani在 iiit.ac.in 的电子邮件经过验证
Evimaria TerziProfessor of Computer Science, Boston University在 cs.bu.edu 的电子邮件经过验证
Soumi DasPost Doc, MPI-SWS在 mpi-sws.org 的电子邮件经过验证
Mohammad Aflah KhanResearch Software Engineer @ MPI-SWS | OSS @ EleutherAI在 iiitd.ac.in 的电子邮件经过验证
Qinyuan WuPhD student, MPI-SWS在 mpi-sws.org 的电子邮件经过验证
Ayan MajumdarPhD Student, Max Planck Institute for Software Systems, Saarland University在 mpi-sws.org 的电子邮件经过验证
Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College London在 ucl.ac.uk 的电子邮件经过验证
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of Maryland在 cs.umd.edu 的电子邮件经过验证
Valeriia CherepanovaAmazon在 amazon.com 的电子邮件经过验证
Micah GoldblumColumbia University在 columbia.edu 的电子邮件经过验证
Rijurekha SenAssistant Professor at IIT Delhi在 cse.iitd.ac.in 的电子邮件经过验证

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Trustworthy Deep Learning Efficient Foundation Models


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Fairness through robustness: Investigating robustness disparity in deep learning V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson FAccT, 466-477, 2021	109	2021
Balancing the tradeoff between profit and fairness in rideshare platforms during high-demand hours V Nanda, P Xu, KA Sankararaman, J Dickerson, A Srinivasan AAAI 34 (02), 2210-2217, 2020	84	2020
On the long-term impact of algorithmic decision policies: Effort unfairness and feature segregation through social learning H Heidari, V Nanda, KP Gummadi ICML, 2019	83	2019
Technical challenges for training fair neural networks V Cherepanova, V Nanda, M Goldblum, JP Dickerson, T Goldstein ICLR RAI Workshop, 2021	23	2021
Rawlsian fairness in online bipartite matching: Two-sided, group, and individual S Esmaeili, S Duppala, D Cheng, V Nanda, A Srinivasan, JP Dickerson AAAI 37 (5), 5624-5632, 2023	21	2023
Measuring representational robustness of neural networks through shared invariances V Nanda, T Speicher, C Kolling, JP Dickerson, K Gummadi, A Weller ICML, 16368-16382, 2022	14*	2022
Do invariances in deep neural networks align with human perception? V Nanda, A Majumdar, C Kolling, JP Dickerson, KP Gummadi, BC Love, ... AAAI 37 (8), 9277-9285, 2023	11*	2023
Stop the killfies! using deep learning models to identify dangerous selfies V Nanda, H Lamba, D Agarwal, M Arora, N Sachdeva, P Kumaraguru Companion Proceedings of the The Web Conference 2018, 1341-1345, 2018	8	2018
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction Q Wu, MA Khan, S Das, V Nanda, B Ghosh, C Kolling, T Speicher, ... WSDM, 2025	4	2025
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications T Speicher, MA Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ... arXiv preprint arXiv:2407.19262, 2024	4*	2024
Leveraging facebook's free basics engine for web service deployment in developing regions S Singh, V Nanda, R Sen, S Sengupta, P Kumaraguru, KP Gummadi Proceedings of the Ninth International Conference on Information and …, 2017	4	2017
What happens during finetuning of vision transformers: An invariance based investigation G Merlin, V Nanda, R Rawal, M Toneva Conference on Lifelong Learning Agents, 601-619, 2023	2	2023
An empirical analysis of facebook's free basics S Singh, V Nanda, R Sen, S Ahmad, S Sengupta, A Phokeer, ZA Farooq, ... Proceedings of the 2017 ACM SIGMETRICS/International Conference on …, 2017	2	2017
Lawma: The power of specialization for legal tasks R Dominguez-Olmedo, V Nanda, R Abebe, S Bechtold, C Engel, ... ICLR, 2025	1	2025
Diffused redundancy in pre-trained representations V Nanda, T Speicher, J Dickerson, K Gummadi, S Feizi, A Weller NeurIPS, 2023	1	2023
Unifying Model Explainability and Robustness via Machine-Checkable Concepts V Nanda, T Speicher, JP Dickerson, KP Gummadi, MB Zafar arXiv preprint arXiv:2007.00251, 2020	1	2020
The Impact of Inference Acceleration Strategies on Bias of LLMs E Kirsten, I Habernal, V Nanda, MB Zafar NAACL, 2025		2025
Understanding the Role of Invariance in Transfer Learning T Speicher, V Nanda, KP Gummadi TMLR, 2024		2024
Foundations of Trustworthy Deep Learning: Fairness, Robustness, and Explainability V Nanda University of Maryland, College Park, 2024		2024
Pointwise Representational Similarity C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi arXiv preprint arXiv:2305.19294, 2023		2023

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