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05/04/2022
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information
Channel pruning is used to reduce the number of weights in a Convolution...
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01/25/2022
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
Convolutional neural networks (CNNs) have dramatically improved the accu...
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08/02/2021
Understanding Diversity in Human-AI Data: What Cognitive Style Disaggregation Reveals
Artificial Intelligence (AI) is becoming more pervasive through all leve...
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05/21/2020
TASO: Time and Space Optimization for Memory-Constrained DNN Inference
Convolutional neural networks (CNNs) are used in many embedded applicati...
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04/03/2020
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle
The computation and memory needed for Convolutional Neural Network (CNN)...
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01/09/2020
Performance-Oriented Neural Architecture Search
Hardware-Software Co-Design is a highly successful strategy for improvin...
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06/11/2019
A Taxonomy of Channel Pruning Signals in CNNs
Convolutional neural networks (CNNs) are widely used for classification ...
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03/22/2019
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study
We present a user study to investigate the impact of explanations on non...
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09/27/2018
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks
Quantization of weights and activations in Deep Neural Networks (DNNs) i...
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03/29/2018
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks
Modern deep neural networks (DNNs) spend a large amount of their executi...
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03/29/2018
Improving accuracy of Winograd convolution for DNNs
Modern deep neural networks (DNNs) spend a large amount of their executi...
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11/21/2017
Toward Foraging for Understanding of StarCraft Agents: An Empirical Study
Assessing and understanding intelligent agents is a difficult task for u...
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11/19/2017
How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games
How should an AI-based explanation system explain an agent's complex beh...
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10/03/2017
Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming
Deep Neural Networks (DNNs) require very large amounts of computation bo...
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09/08/2017
Low-memory GEMM-based convolution algorithms for deep neural networks
Deep neural networks (DNNs) require very large amounts of computation bo...
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04/06/2017
Parallel Multi Channel Convolution using General Matrix Multiplication
Convolutional neural networks (CNNs) have emerged as one of the most suc...
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01/26/2016
