Tajana Rosing
11 papers · 2019–2025 · 8 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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🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🧬
Topic Evolution
📈
Trend Setter
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Optimization & Theory · Deep Learning
(4)
Core AI
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Core Methods
(2)
Techniques
(2)
Keywords
hyperdimensional computing
(3)
transfer learning
(3)
model compression
(2)
continual learning
(2)
domain adaptation
(2)
image classification
(2)
convolutional neural network
(2)
episodic memory
(1)
kernel approximation
(1)
knowledge distillation
(1)
self-supervised learning
(1)
feature mapping
(1)
similarity learning
(1)
parameter sharing
(1)
information processing
(1)
computer vision
(1)
nyström method
(1)
lifelong learning
(1)
classification accuracy
(1)
feature extraction
(1)
Papers
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method
AAAI 2025
TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs
ACL 2025
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts
WACV 2024
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
IJCAI 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
ACML 2023
A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract)
IJCAI 2022
A Broader Study of Cross-Domain Few-Shot Learning
ECCV 2020
AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning
AAAI 2020
Improved Schemes for Episodic Memory-based Lifelong Learning
NeurIPS 2020
Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
AAAI 2019
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
CVPR 2019