116 citations · 273 across the 11 of their papers we have counts for
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cs.IR2023★ 1 cited
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
Kaize Ding, Albert Jiongqian Liang, Bryan Perrozi +6
Learning expressive representations for high-dimensional yet sparse features has been a longstanding problem in information retrieval. Though recent deep learning methods can parti…
cs.LG2023★ 5 cited
FIT: Far-reaching Interleaved Transformers
Ting Chen, Lala Li
We present FIT: a transformer-based architecture with efficient self-attention and adaptive computation. Unlike original transformers, which operate on a single sequence of data to…