Saman Halgamuge
5 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(5)
Deep Learning
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Computer Vision
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
continual learning
(1)
catastrophic forgetting
(1)
neural network training
(1)
image generation
(1)
feature representation
(1)
vector quantization
(1)
gaussian kernel
(1)
maximum mean discrepancy
(1)
generative adversarial network
(1)
interpretable neural network
(1)
cross-domain few-shot learning
(1)
symbolic regression
(1)
parameter-efficient adaptation
(1)
equation discovery
(1)
network expansion
(1)
sparsity regularization
(1)
regularization effect
(1)
neighbor embedding
(1)
overfitting prevention
(1)
multivariate polynomial
(1)
Papers
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
CVPR 2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
AAAI 2024
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
AAAI 2024
NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning
ICCV 2023
Improving MMD-GAN Training with Repulsive Loss Function
ICLR 2019