Andrew D. Bagdanov
16 papers · 2011–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Learning Types · Machine Learning
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Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
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Computer Vision
(4)
Analysis
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Application Areas
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Core Methods
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Learning Types · Deep Learning
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Models
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Natural Language Processing
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Reinforcement Learning
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Applications · Natural Language Processing
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Applications · Computer Vision
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Keywords
vision-language model
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catastrophic forgetting
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continual learning
(2)
contrastive learning
(2)
class-incremental learning
(2)
exemplar-free learning
(2)
image retrieval
(2)
image captioning
(1)
knowledge distillation
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semi-supervised learning
(1)
attention mechanism
(1)
data augmentation
(1)
feature representation
(1)
image reconstruction
(1)
self-supervised learning
(1)
prompt learning
(1)
illumination invariance
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model merging
(1)
domain adaptation
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reinforcement learning
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Papers
IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
CVPR 2026
No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts
WACV 2026
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
ICLR 2025
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
ICML 2025
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
ICLR 2024
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
ECCV 2024
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
CVPR 2024
Masked Autoencoders are Efficient Class Incremental Learners
ICCV 2023
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
ICLR 2023
Long-Tailed Class Incremental Learning
ECCV 2022
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
NeurIPS 2020
Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery
ECCV 2020
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
CVPR 2018
Domain-Adaptive Deep Network Compression
ICCV 2017
RankIQA: Learning From Rankings for No-Reference Image Quality Assessment
ICCV 2017
Portmanteau Vocabularies for Multi-Cue Image Representation
NeurIPS 2011