6 citations · 9 across the 4 of their papers we have counts for
4 papers
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
Linsey Pang, Amir Hossein Raffiee, Wei Liu +1
Sequential recommendation models have achieved state-of-the-art performance using self-attention mechanism. It has since been found that moving beyond only using item ID and positi…
Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation
Zhichao Wang, Mengyu Dai, Keld Lundgaard
The advent of ChatGPT has introduced innovative methods for information gathering and analysis. However, the information provided by ChatGPT is limited to text, and the visualizati…
Exceeding the Limits of Visual-Linguistic Multi-Task Learning
Cameron R. Wolfe, Keld T. Lundgaard
By leveraging large amounts of product data collected across hundreds of live e-commerce websites, we construct 1000 unique classification tasks that share similarly-structured inp…
E-Stitchup: Data Augmentation for Pre-Trained Embeddings
Cameron R. Wolfe, Keld T. Lundgaard
In this work, we propose data augmentation methods for embeddings from pre-trained deep learning models that take a weighted combination of a pair of input embeddings, as inspired…