2.1k citations · 8.9k across the 84 of their papers we have counts for
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Recurrently Controlled Recurrent Networks
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
Recurrent neural networks (RNNs) such as long short-term memory and gated recurrent units are pivotal building blocks across a broad spectrum of sequence modeling problems. This pa…
Holistic Multi-modal Memory Network for Movie Question Answering
Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo +3
Answering questions according to multi-modal context is a challenging problem as it requires a deep integration of different data sources. Existing approaches only employ partial i…
Densely Connected Attention Propagation for Reading Comprehension
Yi Tay, Luu Anh Tuan, Siu Cheung Hui +1
We propose DecaProp (Densely Connected Attention Propagation), a new densely connected neural architecture for reading comprehension (RC). There are two distinct characteristics of…
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
Learning a matching function between two text sequences is a long standing problem in NLP research. This task enables many potential applications such as question answering and par…
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Lucas Vinh Tran, Yi Tay, Shuai Zhang +2
This paper investigates the notion of learning user and item representations in non-Euclidean space. Specifically, we study the connection between metric learning in hyperbolic spa…
Next Item Recommendation with Self-Attention
Shuai Zhang, Yi Tay, Lina Yao +1
In this paper, we propose a novel sequence-aware recommendation model. Our model utilizes self-attention mechanism to infer the item-item relationship from user's historical intera…