Hugh Perkins

According to our database, Hugh Perkins authored at least 9 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

TexRel: a Green Family of Datasets for Emergent Communications on Relations.

Hugh Perkins

CoRR, 2021

A Framework for Measuring Compositional Inductive Bias.

Hugh Perkins

CoRR, 2021

"This item is a glaxefw, and this is a glaxuzb": Compositionality Through Language Transmission, using Artificial Neural Networks.

Hugh Perkins

CoRR, 2021

2019

Dialog Intent Induction with Deep Multi-View Clustering.

Hugh Perkins, Yi Yang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017

CUDA-on-CL: a compiler and runtime for running NVIDIA® CUDA™ C++11 applications on OpenCL™ 1.2 Devices.

Hugh Perkins

Proceedings of the 5th International Workshop on OpenCL, 2017

2016

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL.

Hugh Perkins

CoRR, 2016

2015

Fast Parallel SVM using Data Augmentation.

Hugh Perkins, Minjie Xu, Jun Zhu, Bo Zhang

CoRR, 2015

2014

Gibbs max-margin topic models with data augmentation.

Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang

J. Mach. Learn. Res., 2014

2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms.

Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang

Proceedings of the 30th International Conference on Machine Learning, 2013