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Journal Articles
- 2014
[j1]Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang:
Gibbs max-margin topic models with data augmentation. J. Mach. Learn. Res. 15(1): 1073-1110 (2014)
Conference and Workshop Papers
- 2019
- [c3]Hugh Perkins, Yi Yang:
Dialog Intent Induction with Deep Multi-View Clustering. EMNLP/IJCNLP (1) 2019: 4014-4023 - 2017
- [c2]Hugh Perkins:
CUDA-on-CL: a compiler and runtime for running NVIDIA® CUDA™ C++11 applications on OpenCL™ 1.2 Devices. IWOCL 2017: 6:1-6:4 - 2013
- [c1]Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang:
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms. ICML (1) 2013: 124-132
Informal and Other Publications
- 2021
- [i7]Hugh Perkins:
"This item is a glaxefw, and this is a glaxuzb": Compositionality Through Language Transmission, using Artificial Neural Networks. CoRR abs/2101.11739 (2021) - [i6]Hugh Perkins:
A Framework for Measuring Compositional Inductive Bias. CoRR abs/2103.04180 (2021) - [i5]Hugh Perkins:
TexRel: a Green Family of Datasets for Emergent Communications on Relations. CoRR abs/2105.12804 (2021) - 2019
- [i4]Hugh Perkins, Yi Yang:
Dialog Intent Induction with Deep Multi-View Clustering. CoRR abs/1908.11487 (2019) - 2016
- [i3]Hugh Perkins:
cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL. CoRR abs/1606.04884 (2016) - 2015
- [i2]Hugh Perkins, Minjie Xu, Jun Zhu, Bo Zhang:
Fast Parallel SVM using Data Augmentation. CoRR abs/1512.07716 (2015) - 2013
- [i1]Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang:
Gibbs Max-margin Topic Models with Data Augmentation. CoRR abs/1310.2816 (2013)
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