Adrian G. Bors
21 papers · 2020–2026 · 6 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π¬ Deep Specialist (17)
π€
Dynamic Duo
(19)
ποΈ
Keyword Collector
(61)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(18)
Learning Types Β· Machine Learning
(18)
Deep Learning
(13)
Models
(9)
Learning Types Β· Deep Learning
(7)
Application Areas
(6)
Architectures
(6)
Optimization & Theory
(4)
Computer Vision
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Core Methods
(2)
Optimization
(2)
Artificial Intelligence
(1)
Core AI
(1)
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
Continual Unsupervised Generative Modelling via Online Optimal Transport
AAAI 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
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
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
CVPR 2024
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
Continual Variational Autoencoder via Continual Generative Knowledge Distillation
AAAI 2023
Learning Dynamic Latent Spaces for Lifelong Generative Modelling
AAAI 2023
Lifelong Compression Mixture Model via Knowledge Relationship Graph
AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy
AAAI 2023
Masked Image Residual Learning for Scaling Deeper Vision Transformers
NeurIPS 2023
Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning
ICCV 2023
Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning
ICCV 2023
Busy-Quiet Video Disentangling for Video Classification
WACV 2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization
ECCV 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
AAAI 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
NeurIPS 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