Representer Point Selection for Explaining Deep Neural Networks by Joon Sik Kim & Chih-Kuan Yeh, #mldcmu
Why did a Deep Neural Network #DNN make a certain prediction
Learn more: https://blog.ml.cmu.edu/2019/04/19/representer-point-selection-explain-dnn/
#AI #machinelearning #deeplearning #ML
Why did a Deep Neural Network #DNN make a certain prediction
Learn more: https://blog.ml.cmu.edu/2019/04/19/representer-point-selection-explain-dnn/
#AI #machinelearning #deeplearning #ML
Machine Learning Blog | ML@CMU | Carnegie Mellon University
Representer Point Selection for Explaining Deep Neural Networks
Why did a Deep Neural Network (DNN) make a certain prediction? Although DNNs have been shown to be extremely accurate predictors in a range of domains, they are still largely black-box functions—even to the experts who train them—due to their complicated…
Carnegie Mellon University, Accepted Papers at NeurIPS 2019
Learn more → https://mld.ai/neurips2019
#NeurIPS2019 #NeurIPS #MachineLearning #ML #ComputationalNeuroscience #Research #CarnegieMellon #CMUAI #mldcmu
Learn more → https://mld.ai/neurips2019
#NeurIPS2019 #NeurIPS #MachineLearning #ML #ComputationalNeuroscience #Research #CarnegieMellon #CMUAI #mldcmu
Machine Learning Blog | ML@CMU | Carnegie Mellon University
Carnegie Mellon University, Accepted Papers at NeurIPS 2019
We are proud to present the following papers at the 33rd Conference on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada. Check back for an update with poster numbers and links once the camera-ready papers become available. If you are