Enkelejda Kasneci
11 papers · 2020–2026 · 5 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 · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🗃️
Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(7)
Core AI · Artificial Intelligence
(7)
Core Methods
(4)
Optimization & Theory
(4)
Application Areas
(2)
Learning Types
(2)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
model aggregation
(2)
aleatoric uncertainty
(2)
federated learning
(2)
convergence acceleration
(1)
zero-shot learning
(1)
interactive learning
(1)
contrastive learning
(1)
principal component analysis
(1)
embedding space
(1)
uncertainty quantification
(1)
epistemic uncertainty
(1)
attention mechanism
(1)
video understanding
(1)
explainable ai
(1)
feature attribution
(1)
educational technology
(1)
independent component analysis
(1)
evaluation framework
(1)
video analysis
(1)
image classification
(1)
Papers
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
WACV 2026
Democratizing Writing Support with AI: Insights from One Year of Real-World Interactions with an Open-Access Writing Feedback Tool
AAAI 2026
Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data
WACV 2026
Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents
ICML 2025
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
AAAI 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
AAAI 2024
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
ICML 2023
When are post-hoc conceptual explanations identifiable?
UAI 2023
A Consistent and Efficient Evaluation Strategy for Attribution Methods
ICML 2022
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning
ECCV 2022
Attention Flow: End-to-End Joint Attention Estimation
WACV 2020