Constantine Dovrolis
6 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
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Research topics
Deep Learning
(5)
Machine Learning
(5)
Architectures
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Core AI
(2)
Optimization & Theory · Machine Learning
(2)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
continual learning
(2)
neural network
(2)
sparse neural network
(2)
representation learning
(1)
neural tangent kernel
(1)
class-incremental learning
(1)
progressive learning
(1)
neural architecture
(1)
network analysis
(1)
feature space
(1)
generalization
(1)
prediction error
(1)
task decomposition
(1)
knowledge preservation
(1)
network initialization
(1)
neuron activation
(1)
training dataset
(1)
network sparsity
(1)
path kernel
(1)
stability plasticity
(1)
Papers
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
ICML 2025
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning
CVPR 2024
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis
NeurIPS 2023
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks
ICML 2022
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
ICML 2021
Unsupervised Progressive Learning and the STAM Architecture
IJCAI 2021