Mohammad Rostami
17 papers · 2016–2025 · 8 venues · across top CS/AI venues
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continual learning
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catastrophic forgetting
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transfer learning
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few-shot learning
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representation learning
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image classification
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Papers
Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text
WACV 2025
Cognitively Inspired Learning of Incremental Drifting Concepts
IJCAI 2023
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations
EMNLP 2023
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion
ACL 2023
Internal Robust Representations for Domain Generalization
AAAI 2023
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
AAAI 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
EMNLP 2023
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning
ICCV 2023
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
NeurIPS 2022
Detection and Continual Learning of Novel Face Presentation Attacks
ICCV 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning
EMNLP 2021
Lifelong Domain Adaptation via Consolidated Internal Distribution
NeurIPS 2021
Unsupervised Model Adaptation for Continual Semantic Segmentation
AAAI 2021
Generative Continual Concept Learning
AAAI 2020
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay
IJCAI 2019
Explainability Methods for Graph Convolutional Neural Networks
CVPR 2019
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning
IJCAI 2016