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One Weight Bitwidth to Rule Them All
Weight quantization for deep ConvNets has shown promising results for ap...
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PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Slimmable neural networks provide a flexible trade-off front between pre...
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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...
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LeGR: Filter Pruning via Learned Global Ranking
Filter pruning has shown to be effective for learning resource-constrain...
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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 ...
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Regularizing Activation Distribution for Training Binarized Deep Networks
Binarized Neural Networks (BNNs) can significantly reduce the inference ...
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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,...
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Understanding the Impact of Label Granularity on CNN-based Image Classification
In recent years, supervised learning using Convolutional Neural Networks...
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Domain Specific Approximation for Object Detection
There is growing interest in object detection in advanced driver assista...
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Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks
Resource-efficient convolution neural networks enable not only the intel...
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