Adrian Popescu
16 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (24)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(70)
💎
Century Club · Bronze
🚀
Conference Pioneer
🌈
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(11)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(5)
Computer Vision
(4)
Analysis
(4)
Application Areas
(4)
Core Methods
(4)
Core AI
(3)
Deep Learning
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Keywords
class-incremental learning
(6)
catastrophic forgetting
(4)
transfer learning
(4)
domain adaptation
(3)
sentiment classification
(2)
deep learning
(2)
self-supervised learning
(2)
face verification
(2)
demographic bia
(2)
user profiling
(2)
pre-trained model
(2)
exemplar-free learning
(2)
language model evaluation
(1)
multilingual nlp
(1)
machine translation
(1)
continual learning
(1)
knowledge transfer
(1)
neural architecture
(1)
attention mechanism
(1)
domain generalization
(1)
Papers
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
ACL 2025
A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning
WACV 2025
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification
WACV 2025
Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy
WACV 2025
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
WACV 2024
AdvisIL - A Class-Incremental Learning Advisor
WACV 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
WACV 2023
MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification
ACL 2023
Vis2Rec: A Large-Scale Visual Dataset for Visit Recommendation
WACV 2023
Dataset Knowledge Transfer for Class-Incremental Learning Without Memory
WACV 2022
Face Verification With Challenging Imposters and Diversified Demographics
WACV 2022
Unveiling Real-Life Effects of Online Photo Sharing
WACV 2022
Active Learning for Imbalanced Datasets
WACV 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
WACV 2020
IL2M: Class Incremental Learning With Dual Memory
ICCV 2019
Building Specialized Bilingual Lexicons Using Large Scale Background Knowledge
EMNLP 2013