Hugh Perkins

11 papers Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
"This item is a glaxefw, and this is a glaxuzb": Compositionality Through Language Transmission, using Artificial Neural Networks.
CoRR
Hugh Perkins
2021 J jnl
A Framework for Measuring Compositional Inductive Bias.
CoRR
Hugh Perkins
2021 J jnl
TexRel: a Green Family of Datasets for Emergent Communications on Relations.
CoRR
Hugh Perkins
2019 — conf
Dialog Intent Induction with Deep Multi-View Clustering.
EMNLP/IJCNLP (1)
Hugh Perkins, Yi Yang
2019 J jnl
Dialog Intent Induction with Deep Multi-View Clustering.
CoRR
Hugh Perkins, Yi Yang
2017 — conf
CUDA-on-CL: a compiler and runtime for running NVIDIA® CUDA™ C++11 applications on OpenCL™ 1.2 Devices.
IWOCL
Hugh Perkins
2016 J jnl
cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL.
CoRR
Hugh Perkins
2015 J jnl
Fast Parallel SVM using Data Augmentation.
CoRR
Hugh Perkins, Minjie Xu, Jun Zhu, Bo Zhang
2014 J jnl
Gibbs max-margin topic models with data augmentation.
J. Mach. Learn. Res.
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
2013 — conf
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms.
ICML (1)
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
2013 J jnl
Gibbs Max-margin Topic Models with Data Augmentation.
CoRR
Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang