Deep Shankar Pandey
5 papers · 2022–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Core AI
(1)
Models
(1)
Keywords
uncertainty quantification
(5)
few-shot learning
(3)
bayesian learning
(1)
bayesian inference
(1)
model calibration
(1)
multimodal learning
(1)
hierarchical bayesian
(1)
parameter-efficient fine-tuning
(1)
evidential learning
(1)
evidential deep learning
(1)
label-efficient learning
(1)
conditional neural process
(1)
behavioral pattern
(1)
task selection
(1)
subjective logic
(1)
belief theory
(1)
evidence accumulation
(1)
deep temporal set
(1)
evidential reinforcement
(1)
epistemic aleatoric uncertainty
(1)
Papers
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
NeurIPS 2024
Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery
ICML 2023
Evidential Conditional Neural Processes
AAAI 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
ICML 2023
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
CVPR 2022