119 citations · 366 across the 21 of their papers we have counts for
3 papers · 1 filter
Heterogeneous Graph Sparsification for Efficient Representation Learning
Chandan Chunduru, Chun Jiang Zhu, Blake Gains +1
Graph sparsification is a powerful tool to approximate an arbitrary graph and has been used in machine learning over homogeneous graphs. In heterogeneous graphs such as knowledge g…
Auto-Encoding Goodness of Fit
Aaron Palmer, Zhiyi Chi, Derek Aguiar +1
We develop a new type of generative autoencoder called the Goodness-of-Fit Autoencoder (GoFAE), which incorporates GoF tests at two levels. At the minibatch level, it uses GoF test…
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
Hongwu Peng, Shaoyi Huang, Shiyang Chen +8
Transformers are considered one of the most important deep learning models since 2018, in part because it establishes state-of-the-art (SOTA) records and could potentially replace…