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Diana Marculescu
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Publications
- 2023
- [j58]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22(2): 33:1-33:21 (2023) - 2022
- [c131]Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu:
ANT: Adapt Network Across Time for Efficient Video Processing. CVPR Workshops 2022: 2602-2607 - [i38]Yang Zhou, Feng Liang, Ting-Wu Chin, Diana Marculescu:
Play It Cool: Dynamic Shifting Prevents Thermal Throttling. CoRR abs/2206.10849 (2022) - [i36]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR abs/2206.15463 (2022) - 2021
- [c130]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops 2021: 2990-2999 - [c129]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. CVPR Workshops 2021: 3243-3252 - [c127]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) 2021: 119-134 - [c126]Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu:
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML 2021: 78-82 - [i31]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CoRR abs/2104.13255 (2021) - 2020
- [c125]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
Towards Efficient Model Compression via Learned Global Ranking. CVPR 2020: 1515-1525 - [c123]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. ECCV Workshops (5) 2020: 85-103 - [i30]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. CoRR abs/2002.02998 (2020) - [i28]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR abs/2007.11752 (2020) - [i27]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. CoRR abs/2008.09916 (2020) - 2019
- [c120]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR 2019: 11408-11417 - [c119]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC 2019: 200 - [c118]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. MLSys 2019 - [i24]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR abs/1901.07012 (2019) - [i23]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR abs/1902.02910 (2019) - [i22]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR abs/1904.02823 (2019) - [i21]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR abs/1904.02835 (2019) - [i19]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
LeGR: Filter Pruning via Learned Global Ranking. CoRR abs/1904.12368 (2019) - 2018
- [c114]Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing adaptive neural networks for energy-constrained image classification. ICCAD 2018: 23 - [c111]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops 2018: 895-904 - [i13]Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. CoRR abs/1808.01550 (2018) - [i11]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. CoRR abs/1810.00518 (2018)
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