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Vedant Nanda
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 24
Top Topics
Deep Learning
Invariance Properties
Pointwise
High Demand
Top Venues
CoRR
AAAI
ICML
FAccT
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Publications
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Camila Kolling
,
Till Speicher
,
Vedant Nanda
,
Mariya Toneva
,
Krishna P. Gummadi
Pointwise Representational Similarity.
CoRR
(2023)
Vedant Nanda
,
Ayan Majumdar
,
Camila Kolling
,
John P. Dickerson
,
Krishna P. Gummadi
,
Bradley C. Love
,
Adrian Weller
Do Invariances in Deep Neural Networks Align with Human Perception?
AAAI
(2023)
Gabriele Merlin
,
Vedant Nanda
,
Ruchit Rawal
,
Mariya Toneva
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation.
CoLLAs
(2023)
Gabriele Merlin
,
Vedant Nanda
,
Ruchit Rawal
,
Mariya Toneva
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation.
CoRR
(2023)
Vedant Nanda
,
Till Speicher
,
John P. Dickerson
,
Soheil Feizi
,
Krishna P. Gummadi
,
Adrian Weller
Diffused Redundancy in Pre-trained Representations.
CoRR
(2023)
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)
Vedant Nanda
,
Till Speicher
,
John P. Dickerson
,
Krishna P. Gummadi
,
Soheil Feizi
,
Adrian Weller
Diffused Redundancy in Pre-trained Representations.
NeurIPS
(2023)
Seyed A. Esmaeili
,
Sharmila Duppala
,
Vedant Nanda
,
Aravind Srinivasan
,
John P. Dickerson
Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual.
CoRR
(2022)
Vedant Nanda
,
Till Speicher
,
Camila Kolling
,
John P. Dickerson
,
Krishna P. Gummadi
,
Adrian Weller
Measuring Representational Robustness of Neural Networks Through Shared Invariances.
CoRR
(2022)
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)
Vedant Nanda
,
Till Speicher
,
Camila Kolling
,
John P. Dickerson
,
Krishna P. Gummadi
,
Adrian Weller
Measuring Representational Robustness of Neural Networks Through Shared Invariances.
ICML
(2022)
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
(2021)
Vedant Nanda
,
Samuel Dooley
,
Sahil Singla
,
Soheil Feizi
,
John P. Dickerson
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.
FAccT
(2021)
Valeriia Cherepanova
,
Vedant Nanda
,
Micah Goldblum
,
John P. Dickerson
,
Tom Goldstein
Technical Challenges for Training Fair Neural Networks.
CoRR
(2021)
Vedant Nanda
,
Samuel Dooley
,
Sahil Singla
,
Soheil Feizi
,
John P. Dickerson
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.
CoRR
(2020)
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)
Vedant Nanda
,
Till Speicher
,
John P. Dickerson
,
Krishna P. Gummadi
,
Muhammad Bilal Zafar
Unifying Model Explainability and Robustness via Machine-Checkable Concepts.
CoRR
(2020)
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)
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
(2019)
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
(2019)
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)
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)
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)
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
An Empirical Analysis of Facebook's Free Basics.
SIGMETRICS (Abstracts)
(2017)