Arijit Sehanobish
12 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Research topics
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(3)
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Healthcare & Medicine
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spectral analysis
(2)
medical nlp
(2)
low displacement rank
(2)
graph theory
(2)
transformer architecture
(2)
transformer model
(2)
parameter-efficient fine-tuning
(2)
graph neural network
(2)
transfer learning
(1)
self-supervised learning
(1)
few-shot learning
(1)
attention mechanism
(1)
named entity recognition
(1)
point cloud
(1)
matrix decomposition
(1)
knowledge extraction
(1)
graph classification
(1)
multi-task learning
(1)
kernel approximation
(1)
machine unlearning
(1)
Papers
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
AISTATS 2025
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
ICLR 2025
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
NeurIPS 2024
Scalable Neural Network Kernels
ICLR 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
Efficient Graph Field Integrators Meet Point Clouds
ICML 2023
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports
NAACL 2022
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
ICML 2022
Hybrid Random Features
ICLR 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
EMNLP 2022
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
AAAI 2021
Using Chinese Glyphs for Named Entity Recognition (Student Abstract)
AAAI 2020