Alert button
Picture for Diana Marculescu

Diana Marculescu

Alert button

Shawn

PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks

Jul 23, 2020
Ting-Wu Chin, Ari S. Morcos, Diana Marculescu

Figure 1 for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Figure 2 for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Figure 3 for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Figure 4 for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Viaarxiv icon

Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation

Feb 07, 2020
Ting-Wu Chin, Cha Zhang, Diana Marculescu

Figure 1 for Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation
Figure 2 for Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation
Figure 3 for Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation
Figure 4 for Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation
Viaarxiv icon

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Jul 01, 2019
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

Figure 1 for Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Figure 2 for Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Figure 3 for Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Figure 4 for Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Viaarxiv icon

ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection

Jun 19, 2019
Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu

Figure 1 for ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Figure 2 for ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Figure 3 for ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Figure 4 for ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
Viaarxiv icon

Single-Path NAS: Device-Aware Efficient ConvNet Design

May 10, 2019
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

Figure 1 for Single-Path NAS: Device-Aware Efficient ConvNet Design
Figure 2 for Single-Path NAS: Device-Aware Efficient ConvNet Design
Figure 3 for Single-Path NAS: Device-Aware Efficient ConvNet Design
Viaarxiv icon

LeGR: Filter Pruning via Learned Global Ranking

Apr 28, 2019
Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu

Figure 1 for LeGR: Filter Pruning via Learned Global Ranking
Figure 2 for LeGR: Filter Pruning via Learned Global Ranking
Figure 3 for LeGR: Filter Pruning via Learned Global Ranking
Figure 4 for LeGR: Filter Pruning via Learned Global Ranking
Viaarxiv icon

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Apr 05, 2019
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

Figure 1 for Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Figure 2 for Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Figure 3 for Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Figure 4 for Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Viaarxiv icon

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

Apr 05, 2019
Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D., Blanton

Figure 1 for FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference
Figure 2 for FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference
Figure 3 for FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference
Figure 4 for FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference
Viaarxiv icon

Regularizing Activation Distribution for Training Binarized Deep Networks

Apr 04, 2019
Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu

Figure 1 for Regularizing Activation Distribution for Training Binarized Deep Networks
Figure 2 for Regularizing Activation Distribution for Training Binarized Deep Networks
Figure 3 for Regularizing Activation Distribution for Training Binarized Deep Networks
Figure 4 for Regularizing Activation Distribution for Training Binarized Deep Networks
Viaarxiv icon

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

Feb 08, 2019
Ting-Wu Chin, Ruizhou Ding, Diana Marculescu

Figure 1 for AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
Figure 2 for AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
Figure 3 for AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
Figure 4 for AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
Viaarxiv icon