Srinivasan Parthasarathy
15 papers · 2016–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐บ๏ธ Taxonomy Completionist (34) ๐ Conference Polyglot ยท Gold ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐ฃ Hot Topic Early Bird
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Grand Slam
๐
Conference Pioneer
โ
The Questioner
๐
Century Club ยท Bronze
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Renaissance Researcher
(5)
๐๏ธ
Keyword Collector
(78)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Core AI
(6)
Core Methods
(6)
Natural Language Processing
(5)
Optimization & Theory
(5)
Applications
(4)
Learning Types
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Healthcare & Medicine
(1)
Application Areas
(1)
Keywords
community question answering
(2)
expert finding
(2)
graph embedding
(2)
uncertainty quantification
(2)
online learning
(1)
conformal prediction
(1)
stochastic gradient
(1)
text classification
(1)
multi-task learning
(1)
graph theory
(1)
matrix factorization
(1)
model robustness
(1)
model evaluation
(1)
adversarial training
(1)
sequence tagging
(1)
intent classification
(1)
authorship attribution
(1)
bayesian inference
(1)
bayesian sampling
(1)
link prediction
(1)
Papers
A Generic Framework for Conformal Fairness
ICLR 2025
(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations
NAACL 2025
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks
ACL 2022
Open Intent Extraction from Natural Language Interactions (Extended Abstract)
IJCAI 2021
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis
EMNLP 2021
Adaptive Submodular Maximization under Stochastic Item Costs
COLT 2020
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services
IJCAI 2020
How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study
EMNLP 2020
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths
COLING 2020
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
AAAI 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
IJCAI 2019
Symmetrization for Embedding Directed Graphs
AAAI 2019
Adaptive Bayesian Sampling with Monte Carlo EM
NeurIPS 2017
Fast Change Point Detection on Dynamic Social Networks
IJCAI 2017
Robust Monte Carlo Sampling using Riemannian Nosรฉ-Poincarรฉ Hamiltonian Dynamics
ICML 2016