Ting-Wu Chin

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Carnegie Mellon University

One Weight Bitwidth to Rule Them All

Weight quantization for deep ConvNets has shown promising results for ap...
08/22/2020 ∙ by Ting-Wu Chin, et al. ∙ 0 ∙ share

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PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks

Slimmable neural networks provide a flexible trade-off front between pre...
07/23/2020 ∙ by Ting-Wu Chin, et al. ∙ 0 ∙ share

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Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation

Fine-tuning through knowledge transfer from a pre-trained model on a lar...
02/07/2020 ∙ by Ting-Wu Chin, et al. ∙ 0 ∙ share

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LeGR: Filter Pruning via Learned Global Ranking

Filter pruning has shown to be effective for learning resource-constrain...
04/28/2019 ∙ by Ting-Wu Chin, et al. ∙ 0 ∙ share

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FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference

To improve the throughput and energy efficiency of Deep Neural Networks ...
04/05/2019 ∙ by Ruizhou Ding, et al. ∙ 0 ∙ share

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Regularizing Activation Distribution for Training Binarized Deep Networks

Binarized Neural Networks (BNNs) can significantly reduce the inference ...
04/04/2019 ∙ by Ruizhou Ding, et al. ∙ 0 ∙ share

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AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling

In vision-enabled autonomous systems such as robots and autonomous cars,...
02/08/2019 ∙ by Ting-Wu Chin, et al. ∙ 16 ∙ share

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Understanding the Impact of Label Granularity on CNN-based Image Classification

In recent years, supervised learning using Convolutional Neural Networks...
01/21/2019 ∙ by Zhuo Chen, et al. ∙ 0 ∙ share

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Domain Specific Approximation for Object Detection

There is growing interest in object detection in advanced driver assista...
10/04/2018 ∙ by Ting-Wu Chin, et al. ∙ 0 ∙ share

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Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks

Resource-efficient convolution neural networks enable not only the intel...
10/01/2018 ∙ by Ting-Wu Chin, et al. ∙ 0 ∙ share

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Ting-Wu Chin

Featured Co-authors

Zhuo Chen

Diana Marculescu

Vijay Janapa Reddi

Vikas Chandra

Ari S. Morcos

Ruizhou Ding

Cha Zhang

Hasan Genc

Pierce I-Jen Chuang

Zeye Liu

R. D.

One Weight Bitwidth to Rule Them All

PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks

Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation

LeGR: Filter Pruning via Learned Global Ranking

FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference

Regularizing Activation Distribution for Training Binarized Deep Networks

AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling

Understanding the Impact of Label Granularity on CNN-based Image Classification

Domain Specific Approximation for Object Detection

Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks