64 citations · 285 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
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…
Self-Attentive Neural Collaborative Filtering
Yi Tay, Shuai Zhang, Luu Anh Tuan +1
This paper has been withdrawn as we discovered a bug in our tensorflow implementation that involved accidental mixing of vectors across batches. This lead to different inference re…
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
Attention is typically used to select informative sub-phrases that are used for prediction. This paper investigates the novel use of attention as a form of feature augmentation, i.…
CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
Dating and romantic relationships not only play a huge role in our personal lives but also collectively influence and shape society. Today, many romantic partnerships originate fro…