Ramneet Kaur
6 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Artificial Intelligence
(4)
Core AI
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Deep Learning
(3)
Machine Learning
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Application Areas
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Bayesian & Probabilistic
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Core Methods
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Optimization & Theory
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Natural Language Processing
(1)
Learning Paradigms
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Models
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Resources & Methods
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Keywords
large language model
(2)
conformal prediction
(2)
anomaly detection
(2)
uncertainty quantification
(1)
in-context learning
(1)
out-of-domain detection
(1)
privacy preserving
(1)
distribution shift
(1)
posterior approximation
(1)
image inpainting
(1)
stochastic variational inference
(1)
deep neural network
(1)
foundation model
(1)
low-rank adaptation
(1)
out-of-distribution detection
(1)
adversarial example
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information leakage
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multimodal language model
(1)
bayesian low-rank adaptation
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zero-shot detection
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Papers
Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models
UAI 2026
Privacy Preserving In-Context-Learning Framework for Large Language Models
AAAI 2026
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
EMNLP 2025
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
UAI 2025
Zero-Shot Detection of Out-of-Context Objects using Foundation Models
WACV 2025
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
AAAI 2022