Hardware Acceleration of Explainable Artificial Intelligence

4 May 2023

Papers citing "Hardware Acceleration of Explainable Artificial Intelligence"

17 / 17 papers shown

Title
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge Ashwin Bhat A. S. Assoa A. Raychowdhury 48 9 0 19 Oct 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 63 23 0 10 Mar 2022
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 92 121 0 20 Feb 2021
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree Ensembles Rory Mitchell E. Frank G. Holmes 45 57 0 27 Oct 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 109 379 0 30 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution Gary S. W. Goh Sebastian Lapuschkin Leander Weber Wojciech Samek Alexander Binder FAtt 71 35 0 22 Apr 2020
Large-Scale Discrete Fourier Transform on TPUs Tianjian Lu Yi-Fan Chen Blake A. Hechtman Tao Wang John R. Anderson 73 33 0 09 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
What does a network layer hear? Analyzing hidden representations of end-to-end ASR through speech synthesis Chung-Yi Li Pei-Chieh Yuan Hung-yi Lee 54 31 0 04 Nov 2019
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters Kun Yang Yi-Fan Chen George Roumpos Christopher Colby John R. Anderson 81 51 0 27 Mar 2019
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 210 2,236 0 12 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 239 4,648 0 16 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,027 0 04 Mar 2017
Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets K. Angrishi 24 237 0 13 Feb 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 323 7,321 0 20 Dec 2013