Shoaib Jameel

Few-shot Image Classification with Multi-Facet Prototypes

2021 · Open Access at Essex (University of Essex)

The aim of few-shot learning (FSL) is to learn how to recognize image categories from a small number of training examples. A central challenge is that the available training examples are normally insufficient to determine …

Click-Through Rate Prediction with Multi-Modal Hypergraphs

2021

Advertising is critical to many online e-commerce platforms such as e-Bay and Amazon. One of the important signals that these platforms rely upon is the click-through rate (CTR) prediction. The recent popularity of multi-modal sharing …

HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network

2025 · arXiv (Cornell University)

Graph Transformers have recently achieved remarkable progress in graph representation learning by capturing long-range dependencies through self-attention. However, their quadratic computational complexity and inability to effectively model heterogeneous semantics severely limit their scalability and generalization …

Jointly Learning Word Embeddings and Latent Topics

2017

Word embedding models such as Skip-gram learn a vector-space representation for each word, based on the local word collocation patterns that are observed in a text corpus. Latent topic models, on the other hand, take …