Muhammad Umer Anwaar

According to our database, Muhammad Umer Anwaar authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Leveraging Representation Learning for Multi-Modal and Graph-Structured Data.

Muhammad Umer Anwaar

PhD thesis, 2023

2022

On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning.

Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.

Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber

Proceedings of the MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, 2022

2021

Variational Embeddings for Community Detection and Node Representation.

Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber

CoRR, 2021

Compositional Learning of Image-Text Query for Image Retrieval.

Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection.

Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Zhiwei Han, Martin Kleinsteuber

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

A Contrastive Learning Approach for Compositional Zero-Shot Learning.

Muhammad Umer Anwaar, Rayyan Ahmad Khan, Zhihui Pan, Martin Kleinsteuber

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

2020

Metapath- and Entity-aware Graph Neural Network for Recommendation.

Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber

CoRR, 2020

Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products.

Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Epitomic Variational Graph Autoencoder.

Rayyan Ahmad Khan, Muhammad Umer Anwaar, Martin Kleinsteuber

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products.

Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber

CoRR, 2019