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Hugh Perkins
Hugh Perkins
ASAPP Inc
Verified email at asapp.com - Homepage
Title
Cited by
Cited by
Year
Gibbs max-margin topic models with data augmentation
J Zhu, N Chen, H Perkins, B Zhang
The Journal of Machine Learning Research 15 (1), 1073-1110, 2014
932014
Gibbs max-margin topic models with fast sampling algorithms
J Zhu, N Chen, H Perkins, B Zhang
International Conference on Machine Learning, 124-132, 2013
562013
Dialog Intent Induction with Deep Multi-View Clustering
H Perkins, Y Yang
Empirical Methods in Natural Language Processing, 2019
172019
cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL
H Perkins
arXiv preprint arXiv:1606.04884, 2016
122016
CUDA-on-CL: a compiler and runtime for running NVIDIAŽ CUDA™ C++ 11 applications on OpenCL™ 1.2 Devices
H Perkins
Proceedings of the 5th International Workshop on OpenCL, 1-4, 2017
102017
Fast Parallel SVM using Data Augmentation
H Perkins, M Xu, J Zhu, B Zhang
arXiv preprint arXiv:1512.07716, 2015
32015
Icy: A benchmark for measuring compositional inductive bias of emergent communication models
H Perkins
2021
TexRel: a Green Family of Datasets for Emergent Communications on Relations
H Perkins
arXiv preprint arXiv:2105.12804, 2021
2021
Neural networks can understand compositional functions that humans do not, in the context of emergent communication
H Perkins
arXiv e-prints, arXiv: 2103.04180, 2021
2021
Compositionality Through Language Transmission, using Artificial Neural Networks
H Perkins
arXiv preprint arXiv:2101.11739, 2021
2021
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Articles 1–10