Adrian G. Bors
21 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (6) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (29)
πΊοΈ
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(29)
π
Renaissance Researcher
(5)
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Deep Specialist
(17)
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Dynamic Duo
(18)
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Keyword Champion
(5)
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Prolific Year
(7)
π
Century Club
(20)
ποΈ
Keyword Collector
(63)
π₯
Unstoppable
(6)
Conferences
AAAI (11)
ICCV (3)
CVPR (2)
ECCV (2)
NIPS (2)
WACV (1)
Top co-authors
Keywords
continual learning
(14)
generative model
(7)
catastrophic forgetting
(7)
variational autoencoder
(6)
model expansion
(5)
online learning
(4)
lifelong learning
(4)
knowledge distillation
(4)
dynamic expansion
(3)
task-free learning
(3)
knowledge transfer
(3)
task-free continual learning
(3)
unsupervised learning
(3)
representation learning
(3)
memory management
(2)
diffusion model
(2)
mixture model
(2)
attention mechanism
(2)
vision transformer
(2)
maximum mean discrepancy
(2)
Papers
Learning Adaptive and Expandable Mixture Model for Continual Learning
AAAI 2026
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
AAAI 2025
Continual Unsupervised Generative Modelling via Online Optimal Transport
AAAI 2025
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy
AAAI 2025
Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
CVPR 2025
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster
AAAI 2024
Task-Free Dynamic Sparse Vision Transformer for Continual Learning
AAAI 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
CVPR 2024
Lifelong Compression Mixture Model via Knowledge Relationship Graph
AAAI 2023
Continual Variational Autoencoder via Continual Generative Knowledge Distillation
AAAI 2023
Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning
ICCV 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers
NIPS 2023
Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning
ICCV 2023
Learning Dynamic Latent Spaces for Lifelong Generative Modelling
AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy
AAAI 2023
Continual Variational Autoencoder Learning via Online Cooperative Memorization
ECCV 2022
Busy-Quiet Video Disentangling for Video Classification
WACV 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
NIPS 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
AAAI 2022
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process
ICCV 2021
Learning latent representations across multiple data domains using Lifelong VAEGAN
ECCV 2020