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11/18/2021
Dynamically pruning segformer for efficient semantic segmentation
As one of the successful Transformer-based models in computer vision tas...
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09/30/2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
Network quantization has gained increasing attention with the rapid grow...
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06/16/2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Variational autoencoders (VAEs) have been widely applied for text modeli...
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04/21/2020
Discrete Variational Attention Models for Language Generation
Variational autoencoders have been widely applied for natural language g...
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03/17/2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Network quantization has rapidly become one of the most widely used meth...
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12/04/2019
RTN: Reparameterized Ternary Network
To deploy deep neural networks on resource-limited devices, quantization...
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11/21/2019
Few Shot Network Compression via Cross Distillation
Model compression has been widely adopted to obtain light-weighted deep ...
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06/17/2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection
Recurrent neural networks (RNNs) have recently achieved remarkable succe...
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12/30/2018
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification
The accuracy of deep learning (e.g., convolutional neural networks) for ...
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05/24/2017