Swami Sankaranarayanan
11 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(6)
Application Areas
(5)
Computer Vision
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Core Methods
(3)
Models
(3)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Natural Language Processing
(1)
Analysis
(1)
Core AI · Computer Vision
(1)
Core AI · Artificial Intelligence
(1)
Domain-Specific
(1)
Keywords
generative adversarial network
(2)
feature embedding
(2)
uncertainty quantification
(2)
domain adaptation
(2)
feature learning
(1)
conformal prediction
(1)
representation learning
(1)
transfer learning
(1)
semantic segmentation
(1)
binary classification
(1)
model evaluation
(1)
noisy label learning
(1)
self-supervised learning
(1)
knowledge editing
(1)
data augmentation
(1)
domain generalization
(1)
continual learning
(1)
model editing
(1)
image super-resolution
(1)
generative modeling
(1)
Papers
Test-time Augmentation Improves Efficiency in Conformal Prediction
CVPR 2025
Efficient Bias Mitigation Without Privileged Information
ECCV 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
ICLR 2024
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
NeurIPS 2023
Semantic uncertainty intervals for disentangled latent spaces
NeurIPS 2022
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth
ICLR 2020
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
CVPR 2019
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
CVPR 2018
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
CVPR 2018
MetaReg: Towards Domain Generalization using Meta-Regularization
NeurIPS 2018
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
ICCV 2017