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Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications

召开年：2018
召开地：Williamsburg(US)
出版时间：-

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1.Keynote Abstract: Safety and Security at the Heart of Autonomous Driving

机译：主题演讲摘要：自动驾驶核心的安全保障
- 作者：Kamal Khouri
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Automobiles;
- Autonomous vehicles;
- Security;
- Machine learning;
- Safety;
- Automation;
- Conferences;
2.Invited Talk Abstract: Challenges and Solutions for Embedding Vision AI

机译：特邀演讲摘要：嵌入视觉AI的挑战和解决方案
- 作者：Charles Qi
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Neural networks;
- Computer architecture;
- Conferences;
- Energy efficiency;
- Machine learning;
- Cognitive systems;
3.Invited Talk Abstract: Introducing ReQuEST: An Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

机译：特邀演讲摘要：ReQuEST简介：可重现和高质量系统的开放平台-ML锦标赛
- 作者：Grigori Fursin
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Machine learning;
- Conferences;
- Energy efficiency;
- Cognitive systems;
- Software;
- Hardware;
- Libraries;
4.A Case for Dynamic Activation Quantization in CNNs

机译：CNN中动态激活量化的一个案例
- 作者：Karl Taht;Surya Narayanan;Rajeev Balasubramonian
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Agriculture;
- Quantization (signal);
- Computer architecture;
- Image edge detection;
- Urban areas;
- Hardware;
- Microprocessors;
5.A High Efficiency Accelerator for Deep Neural Networks

机译：深度神经网络的高效加速器
- 作者：Aliasger Zaidy;Andre Xian Ming Chang;Vinayak Gokhale;Eugenio Culurciello
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Registers;
- Kernel;
- Computational efficiency;
- Buffer storage;
- Neural networks;
- Bandwidth;
- Organizations;
6.A Quantization-Friendly Separable Convolution for MobileNets

机译：MobileNets的量化友好可分卷积
- 作者：Tao Sheng;Chen Feng;Shaojie Zhuo;Xiaopeng Zhang;Liang Shen;Mickey Aleksic
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Quantization (signal);
- Convolution;
- Pipelines;
- Mathematical model;
- Computational modeling;
- Standards;
- Training;
7.Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit

机译：嵌入式设备上的深度学习推理：定点与定位
- 作者：Seyed Hamed Fatemi Langroudi;Tej Pandit;Dhireesha Kudithipudi
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Dynamic range;
- Computer architecture;
- Performance evaluation;
- Training;
- Neural networks;
- Task analysis;
8.Efficient Compiler Code Generation for Deep Learning Snowflake Co-Processor

机译：深度学习雪花协处理器的高效编译器代码生成
- 作者：Andre Xian Ming Chang;Aliasger Zaidy;Eugenio Culurciello
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Kernel;
- Copper;
- Three-dimensional displays;
- Task analysis;
- Field programmable gate arrays;
9.Event Prediction in Processors Using Deep Temporal Models

机译：使用深度时间模型的处理器中的事件预测
- 作者：Tharindu Mathew;Aswin Raghavan;Sek Chai
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Program processors;
- Benchmark testing;
- Training;
- Computational modeling;
- Computer architecture;
- Artificial intelligence;
- Support vector machines;
10.Moving CNN Accelerator Computations Closer to Data

机译：使CNN加速器计算更接近数据
- 作者：Sumanth Gudaparthi;Surya Narayanan;Rajeev Balasubramonian
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Neurons;
- Random access memory;
- Computer architecture;
- Kernel;
- Rats;
- Throughput;
- Analog circuits;
11.Invited Talk Abstract: Introducing ReQuEST: An Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

机译：邀请的谈话摘要：介绍请求：可重复和高质量的系统系统 - ML锦标赛的开放式平台
- 作者：Grigori Fursin
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Machine learning;
- Conferences;
- Energy efficiency;
- Cognitive systems;
- Software;
- Hardware;
- Libraries;
12.Invited Talk Abstract: Challenges and Solutions for Embedding Vision AI

机译：邀请的谈话摘要：嵌入视觉ai的挑战和解决方案
- 作者：Charles Qi
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Neural networks;
- Computer architecture;
- Conferences;
- Energy efficiency;
- Machine learning;
- Cognitive systems;
13.Keynote Abstract: Safety and Security at the Heart of Autonomous Driving

机译：主题演讲摘要：自主驾驶核心的安全和安全性
- 作者：Kamal Khouri
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Automobiles;
- Autonomous vehicles;
- Security;
- Machine learning;
- Safety;
- Automation;
- Conferences;
14.A High Efficiency Accelerator for Deep Neural Networks

机译：深神经网络的高效加速器
- 作者：Aliasger Zaidy;Andre Xian Ming Chang;Vinayak Gokhale;Eugenio Culurciello
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Registers;
- Kernel;
- Computational efficiency;
- Buffer storage;
- Neural networks;
- Bandwidth;
- Organizations;
15.Moving CNN Accelerator Computations Closer to Data

机译：移动CNN加速器计算更接近数据
- 作者：Sumanth Gudaparthi;Surya Narayanan;Rajeev Balasubramonian
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Neurons;
- Random access memory;
- Computer architecture;
- Kernel;
- Rats;
- Throughput;
- Analog circuits;
16.A Case for Dynamic Activation Quantization in CNNs

机译：CNN中动态激活量化的情况
- 作者：Karl Taht;Surya Narayanan;Rajeev Balasubramonian
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Agriculture;
- Quantization (signal);
- Computer architecture;
- Image edge detection;
- Urban areas;
- Hardware;
- Microprocessors;
17.Event Prediction in Processors Using Deep Temporal Models

机译：使用深颞模型处理器的事件预测
- 作者：Tharindu Mathew;Aswin Raghavan;Sek Chai
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Program processors;
- Benchmark testing;
- Training;
- Computational modeling;
- Computer architecture;
- Artificial intelligence;
- Support vector machines;
18.A Quantization-Friendly Separable Convolution for MobileNets

机译：用于移动的量化友好的可分离卷积
- 作者：Tao Sheng;Chen Feng;Shaojie Zhuo;Xiaopeng Zhang;Liang Shen;Mickey Aleksic
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Quantization (signal);
- Convolution;
- Pipelines;
- Mathematical model;
- Computational modeling;
- Standards;
- Training;
19.Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit

机译：嵌入式设备的深度学习推断：定点VS DISION
- 作者：Seyed Hamed Fatemi Langroudi;Tej Pandit;Dhireesha Kudithipudi
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Dynamic range;
- Computer architecture;
- Performance evaluation;
- Training;
- Neural networks;
- Task analysis;
20.Efficient Compiler Code Generation for Deep Learning Snowflake Co-Processor

机译：深度学习雪花共同处理器的高效编译代码生成
- 作者：Andre Xian Ming Chang;Aliasger Zaidy;Eugenio Culurciello
- 会议名称：《Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications》 | 2018年
- Kernel;
- Copper;
- Three-dimensional displays;
- Task analysis;
- Field programmable gate arrays;