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05/04/2023
An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System
Reinforcement learning has been applied to train the dialog systems in m...
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07/25/2022
Benchmarking GNN-Based Recommender Systems on Intel Optane Persistent Memory
Graph neural networks (GNNs), which have emerged as an effective method ...
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03/21/2022
A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots
A slot value might be provided segment by segment over multiple-turn int...
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09/16/2021
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Depthwise separable convolutions and frequency-domain convolutions are t...
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08/26/2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
Graph neural networks (GNNs) are gaining increasing popularity as a prom...
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01/28/2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Quantization can improve the execution latency and energy efficiency of ...
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01/28/2019
Improving Neural Network Quantization using Outlier Channel Splitting
Quantization can improve the execution latency and energy efficiency of ...
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11/19/2018
Building Efficient Deep Neural Networks with Unitary Group Convolutions
We propose unitary group convolutions (UGConvs), a building block for CN...
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02/12/2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
There is an increasing need to bring machine learning to a wide diversit...
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02/12/2018
