Swagatam Das
18 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (13)
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(13)
🏆
Keyword Champion
(3)
🔥
Unstoppable
(7)
💎
Century Club
(16)
🚀
Conference Pioneer
🗃️
Keyword Collector
(83)
Conferences
AAAI (4)
NIPS (3)
AISTATS (2)
IJCAI (2)
AACL (1)
CVPR (1)
EACL (1)
ICCV (1)
ICML (1)
IJCNLP (1)
MICCAI (1)
Top co-authors
Keywords
high-dimensional clustering
(3)
in-context learning
(2)
robust clustering
(2)
mean shift clustering
(2)
high-dimensional datum
(2)
clustering algorithm
(2)
mode seeking
(2)
generative adversarial network
(2)
partial order relation
(2)
prompt complexity
(2)
k-means clustering
(2)
feature selection
(2)
adversarial training
(2)
medical imaging
(1)
optimal transport
(1)
few-shot learning
(1)
metric learning
(1)
dimensionality reduction
(1)
density estimation
(1)
cluster analysis
(1)
Papers
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
AAAI 2026
ARREST: Adversarial Resilient Regulation Enhancing Safety and Truth in Large Language Models
EACL 2026
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
IJCNLP 2025
From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract)
AAAI 2025
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
AACL 2025
Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator
IJCAI 2025
Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias
MICCAI 2024
Clustering High-dimensional Data with Ordered Weighted $\ell_1$ 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
NIPS 2022
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
NIPS 2021
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
NIPS 2021
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering
IJCAI 2020
Entropy Weighted Power k-Means Clustering
AISTATS 2020
Generative Adversarial Minority Oversampling
ICCV 2019