no code implementations • 23 Apr 2022 • Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
The task in Compositional Zero-Shot learning (CZSL) is to learn composition of primitive concepts, i. e. objects and states, in such a way that even their novel compositions can be zero-shot classified.
1 code implementation • 11 Jan 2021 • Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber
In this paper, we study how to simultaneously learn two highly correlated tasks of graph analysis, i. e., community detection and node representation learning.
no code implementations • 1 Jan 2021 • Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber
In this paper, we study how to simultaneously learn two highly correlated tasks of graph analysis, i. e., community detection and node representation learning.
1 code implementation • 22 Oct 2020 • Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
In this paper, we employ collaborative subgraphs (CSGs) and metapaths to form metapath-aware subgraphs, which explicitly capture sequential semantics in graph structures.
Ranked #1 on Link Prediction on MovieLens 25M
1 code implementation • 19 Jun 2020 • Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
In this paper, we investigate the problem of retrieving images from a database based on a multi-modal (image-text) query.
Ranked #1 on Image Retrieval with Multi-Modal Query on FashionIQ
1 code implementation • 3 Apr 2020 • Rayyan Ahmad Khan, Muhammad Umer Anwaar, Martin Kleinsteuber
Variational autoencoder (VAE) is a widely used generative model for learning latent representations.
1 code implementation • 24 Jul 2019 • Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
In the literature, it is proposed to employ user feedback (such as clicks, add-to-basket (AtB) clicks and orders) to generate relevance judgments.