Leveraging Prediction Confidence For Versatile Optimizations to CNNs

Author:

Sharma Saksham1,Bhargava Vanshika V1,Singh Aditya Kumar1,Bhardwaj Kshitij1,Mittal Sparsh1

Affiliation:

1. Indian Institute of Technology Roorkee, India

Funder

Semiconductor Research Corporation

Publisher

ACM

Reference16 articles.

1. [n.d.]. AI and Compute. https://openai.com/blog/ai-and-compute/. [n.d.]. AI and Compute. https://openai.com/blog/ai-and-compute/.

2. Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan and Jiashi Feng. 2018. A2-Nets: Double Attention Networks. arXiv preprint arXiv:1810.11579(2018). Yunpeng Chen Yannis Kalantidis Jianshu Li Shuicheng Yan and Jiashi Feng. 2018. A2-Nets: Double Attention Networks. arXiv preprint arXiv:1810.11579(2018).

3. Yonatan Geifman and Ran El-Yaniv. 2017. Selective classification for deep neural networks. arXiv preprint arXiv:1705.08500(2017). Yonatan Geifman and Ran El-Yaniv. 2017. Selective classification for deep neural networks. arXiv preprint arXiv:1705.08500(2017).

4. Gregory Griffin Alex Holub and Pietro Perona. 2007. Caltech-256 object category dataset. (2007). Gregory Griffin Alex Holub and Pietro Perona. 2007. Caltech-256 object category dataset. (2007).

5. Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770–778. Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770–778.

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