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News
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Talk:
Lead organizer of the ICML workshop on "Deployment Challenges of Generative AI"
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Talk: Invited talk at
Emory University
.
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Talk: Invited talk at
Johns Hopkins University
.
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Talk: Invited talk at
AI Ethics team, Sony Research
.
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Talk: Invited talk at
Cornell University
.
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Workshop: Our workshop on
Generative AI Challenges has been accepted at
ICML'23!.
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Talk: Invited talk at
University of Merced
.
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Talk: Invited talk at
Stanford University
.
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Press coverage: My work on uncertainty estimation is covered by
MIT News.
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Talk: Research seminar at
Deepmind, London
titled "Semantically Meaningful Uncertainty Estimates".
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Talk: Research talk at
Google Research (PAIR team)
on our work on semantic uncertainty intervals.
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NeurIPS 2022:
3 papers
at NeurIPS 2022: 1 main conference and 2 workshops!
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Award: Received the
Scholar Award to attend NeurIPS 2022!
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
[Under Review] [also @ NeurIPS 2022 Workshop on Robustness in Sequence Modeling (Spotlight talk )]
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Semantic uncertainty intervals for disentangled latent spaces Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romoano, Phillip Isola
NeurIPS 2022. [Paper]
[Website]
[Code]
[Video]
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Real world relevance of counterfactual generations Swami Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi, Phillip Isola
NeurIPS 2022 Workshop for Trustworthy and Responsible Machine Learning (TSRML).
[Paper]
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Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng, Ali Jahanian*, Swami Sankaranarayanan*, Phillip Isola
Technical Report, arXiv 2022.
[Paper]
[Website]
[Code]
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Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
Igor Lovchinsky, Alon Daks, Israel Malkin, Pouya Samangouei, Ardavan Saeedi, Yang Liu, Swami Sankaranarayanan, Tomer Gafner, Ben Sternlieb, Patrick Maher, Nathan Silberman
ICLR 2020.
[Paper]
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Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel Alexander, Nathan Silberman
CVPR 2019. [Paper]
[Code]
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MetaReg: Towards Domain Generalization using Meta-Regularization Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa
NeurIPS 2018. [Paper]
[Code]
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Learning from Synthetic Data (LSD): Addressing Domain Shift for Semantic Segmentation Swami Sankaranarayanan*, Yogesh Balaji*, Arpit Jain, Sernam Lim, Rama Chellappa
CVPR 2018. [Spotlight talk]
[Paper]
[Code]
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Generate To Adapt (GTA): Aligning Domains using Generative Adversarial Networks Swami Sankaranarayanan*, Yogesh Balaji*, Carlos Castillo, Rama Chellappa
CVPR 2018. [Spotlight talk]
[Paper]
[Code]
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Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms
P. Jonathon Phillips, Amy N. Yates , Ying Hu , Carina A. Hahn , Eilidh Noyes, Kelsey Jackson,
Jacqueline G. Cavazos, Géraldine Jeckeln, Rajeev Ranjan, Swami Sankaranarayanan, Jun-Cheng Chen,
Carlos D. Castillo, Rama Chellappa, David White,
Alice J. O’Toole
Proceedings of the National Academy of Sciences (PNAS) 2018.
[Paper]
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