← Authors

Mohammad Rostami

17 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (38) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (9) πŸ† Keyword Champion (4) πŸ’Ž Century Club (17) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (55) πŸ”₯ Unstoppable (5)

Conferences

AAAI (4) EMNLP (3) IJCAI (3) ICCV (2) NIPS (2) ACL (1) CVPR (1) WACV (1)

Top co-authors

Aram Galstyan (4) Soheil Kolouri (3) Jesse Thomason (2) Leticia Pinto Alva (1) Dayuan Jian (1) Daniel Seita (1) Shrikanth Narayanan (1) Ting-Yun Chang (1) Mehrnoosh Mirtaheri (1) Xisen Jin (1)

Keywords

continual learning (9) catastrophic forgetting (7) domain adaptation (4) experience replay (4) transfer learning (3) representation learning (3) few-shot learning (3) embedding space (2) multimodal learning (2) unsupervised domain adaptation (2) vision-language model (2) anomaly detection (1) contrastive learning (1) transformer architecture (1) domain generalization (1) image classification (1) knowledge distillation (1) prototype learning (1) object detection (1) sentiment analysis (1)

Papers

Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text WACV 2025
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations EMNLP 2023
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning ICCV 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation EMNLP 2023
Internal Robust Representations for Domain Generalization AAAI 2023
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion ACL 2023
Cognitively Inspired Learning of Incremental Drifting Concepts IJCAI 2023
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions AAAI 2023
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks NIPS 2022
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021
Unsupervised Model Adaptation for Continual Semantic Segmentation AAAI 2021
Lifelong Domain Adaptation via Consolidated Internal Distribution NIPS 2021
Detection and Continual Learning of Novel Face Presentation Attacks ICCV 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