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Mridul Sharma

dblp:243/7017 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2027
0000-0002-1963-3591ORCID · corroborated

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

Artificial intelligence and machine learning · 4 · 1 first-author · 4 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 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.

Artificial intelligence
1 paper
Language models and text generation · 77% Trustworthy machine learning · 23%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › alignment
scalable oversight
1.012026
Confirmation Bias: A Challenge for Scalable Oversight · AAAI 2026
Machine learning › Trustworthy machine learning
confirmation bias
0.312026
Confirmation Bias: A Challenge for Scalable Oversight · AAAI 2026
YearPublicationVenuePosition
2027 MUKSB: Machine unlearning via Kalai-Smorodinsky bargaining
Adarsh Dubey, Mridul Sharma, Parimala Kancharla
Expert Syst. Appl.2
2026 Confirmation Bias: A Challenge for Scalable Oversight
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon, Mridul Sharma, Callum Canavan, Dylan Epstein-Gross, Muhammed Abdulbari
AAAI4
2026 Efficient Concept Unlearning in Latent Diffusion Models via Feature Caching
Mridul Sharma, Ajinkya Hase, Parimala Kancharla
ICPR (12)1
2026 Selective subspace unlearning for text to image diffusion models
Adarsh Dubey, Mridul Sharma, Parimala Kancharla
Pattern Recognit. Lett.2