Index of /~bryan/papers2/ai/machine-learning/comprehensibility

	Name	Last modified	Size	Description
	Parent Directory		-
	get.txt	2017-08-08 20:57	1.3K
	Visualizing deep neural network decisions: Prediction difference analysis - 2017.pdf	2017-02-15 17:21	8.5M
	Visualizing and understanding recurrent networks - 2015.pdf	2015-08-06 15:48	4.0M
	Visualizing LSTM decisions - 2017.pdf	2017-05-24 05:31	935K
	Visual analysis of hidden state dynamics in recurrent neural networks - 2016.pdf	2016-06-26 17:38	3.3M
	Understanding neural networks through deep visualization - 2015.pdf	2015-06-22 17:32	9.0M
	Towards better analysis of deep convolutional neural networks - 2016.pdf	2016-05-04 20:30	19M
	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks - 2016.pdf	2017-01-12 15:28	3.1M
	Strongly-typed recurrent neural networks - 2016.pdf	2016-05-25 18:45	180K
	Stimulated deep neural network for speech recognition - 2016.pdf	2017-08-08 19:57	1.0M
	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 MB model size - 2016.pdf	2016-11-07 17:04	903K
	Rationalizing neural predictions - 2016.pdf	2017-08-08 19:32	550K
	Node-by-node greedy deep learning for interpretable features - 2016.pdf	2016-02-21 17:26	2.1M
	Methods for interpreting and understanding deep neural networks - 2017.pdf	2017-06-26 17:33	3.1M
	Memory visualization for gated recurrent neural networks in speech recognition - 2017.pdf	2017-02-27 17:33	1.2M
	Interpretable recurrent neural networks using sequential sparse recovery - 2017.pdf	2016-11-22 18:49	1.5M
	Increasing the interpretability of recurrent neural networks using hidden Markov models - 2016.pdf	2016-10-03 17:47	266K
	Improving interpretability of deep neural networks with semantic information - 2017.pdf	2017-03-30 18:13	9.2M
	Evaluating the visualization of what a deep neural network has learned - 2016.pdf	2015-09-21 17:35	4.9M
	Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding.pdf	2016-02-15 17:15	1.0M
	Automatic rule extraction from long short term memory (LSTM) networks - 2017.pdf	2017-02-27 18:15	146K
	A powerful generative model using random weights for the deep image representation - 2016.pdf	2017-01-12 16:54	8.6M
	A new method to visualize deep neural networks - 2017.pdf	2017-06-12 17:42	5.9M