Swagatam Das
17 papers · 2019–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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(83)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Core Methods
(11)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Learning Types
(5)
Core AI
(4)
Deep Learning
(2)
Healthcare & Medicine
(2)
Application Areas
(2)
Models
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Analysis
(1)
Keywords
high-dimensional clustering
(3)
k-means clustering
(3)
mean shift clustering
(3)
feature selection
(2)
generative adversarial network
(2)
robust clustering
(2)
mode seeking
(2)
clustering algorithm
(2)
adversarial training
(2)
median of mean
(2)
high-dimensional data
(2)
optimal transport
(1)
few-shot learning
(1)
medical imaging
(1)
metric learning
(1)
dimensionality reduction
(1)
density estimation
(1)
cluster analysis
(1)
image segmentation
(1)
multimodal learning
(1)
Papers
ARREST: Adversarial Resilient Regulation Enhancing Safety and Truth in Large Language Models
EACL 2026
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
AAAI 2026
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
IJCNLP 2025
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator
IJCAI 2025
From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract)
AAAI 2025
Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias
MICCAI 2024
Clustering High-dimensional Data with Ordered Weighted β_1 Regularization
AISTATS 2023
Interval Bound Interpolation for Few-shot Learning with Few Tasks
ICML 2023
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering
AAAI 2023
GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking
CVPR 2022
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks
NeurIPS 2022
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
AAAI 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
NeurIPS 2021
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
NeurIPS 2021
Entropy Weighted Power k-Means Clustering
AISTATS 2020
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering
IJCAI 2020
Generative Adversarial Minority Oversampling
ICCV 2019