Spandan Pyakurel
3 papers · 2024–2025 · 2 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
vision transformer
(1)
few-shot learning
(1)
bayesian learning
(1)
bayesian inference
(1)
uncertainty quantification
(1)
model calibration
(1)
novel classes
(1)
hierarchical structure
(1)
knowledge graph
(1)
loss function
(1)
parameter-efficient fine-tuning
(1)
node representation
(1)
fine-grained openset detection
(1)
path probability
(1)
state-based representation
(1)
evidence margin
(1)
fine-grained evidence allocation
(1)
hierarchical novelty detection
(1)
parent class
(1)
Papers
Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
ICML 2025
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
NeurIPS 2024
Hierarchical Novelty Detection via Fine-Grained Evidence Allocation
ICML 2024