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Aishwarya Maheswaran

dblp:374/3836 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2024
0009-0009-9714-9824ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Artificial intelligence
1 paper
Efficient and distributed learning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › query suggestion
query auto-completion
0.812024
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion · SIGIR 2024
Machine learning › Efficient and distributed learning › model compression › quantization
quantized training
0.212024
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion · SIGIR 2024

Methods — techniques the papers use, named apart from their topics

reinforcement learning · 1.5quantized optimal transport · 1.5
YearPublicationVenuePosition
2024 DQAC: Detoxifying Query Auto-completion with Adapters
Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta 0001, Maunendra Sankar Desarkar
PAKDD (6)1
2024 DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion
Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta 0001, Maunendra Sankar Desarkar
SIGIR1