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

	Name	Last modified	Size	Description
	Parent Directory		-
	Optimal brain damage.pdf	2004-12-20 14:26	118K
	3d depth reconstruction from a single still image.pdf	2009-07-21 17:22	1.9M
	Improving neural networks by preventing co-adaptation of feature detectors - 2012.pdf	2012-07-03 17:44	1.6M
	Machine learning of hierarchical clustering to segment 2D and 3D images - 2013.pdf	2013-07-23 22:58	3.3M
	How to construct deep recurrent neural networks - 2013.pdf	2014-04-24 18:39	394K
	Deep learning in neural networks: An overview - Schmidhuber - 2014.pdf	2014-10-09 01:46	1.1M
	Batch normalization: Accelerating deep network training by reducing internal covariate shift - 2015.pdf	2015-03-02 17:31	169K
	Grammar as foreign language - 2014.pdf	2015-06-10 18:04	334K
	Massively parallel methods for deep reinforcement learning - 2015.pdf	2015-07-16 17:07	2.7M
	An empirical exploration of recurrent network architectures - 2015.pdf	2015-09-16 16:38	212K
	Accurate image super-resolution using very deep convolutional networks.pdf	2015-11-16 17:36	4.7M
	Visualizing and understanding recurrent networks - 2015.pdf	2015-11-17 17:47	2.8M
	Towards principled unsupervised learning - 2015.pdf	2015-12-03 17:19	364K
	deep-vision-links.md	2016-01-06 19:37	34K
	FireCaffe: near-linear acceleration of deep neural network training on compute clusters - 2016.pdf	2016-01-10 17:23	822K
	Neural Enquirer: Learning to Query Tables with Natural Language.pdf	2016-01-21 18:32	2.2M
	Asynchronous methods for deep reinforcement learning - 2016.pdf	2016-02-04 17:25	2.3M
	Sentence pair scoring - Towards unified framework for text comprehension - pasky.pdf	2016-03-19 11:46	82K
	GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server - 2016.pdf	2016-04-04 15:45	618K
	Theano-MPI: a theano-based distributed training framework - 2016.pdf	2016-05-26 17:29	445K
	Towards an integration of deep learning and neuroscience - Marblestone - 2016.pdf	2016-06-13 17:34	1.0M
	Robust large-scale machine learning in the cloud - 2016.pdf	2016-07-03 14:28	441K
	Network trimming: A data-driven neuron pruning approach towards efficient deep architectures - 2016.pdf	2016-07-12 17:30	423K
	Deep networks with stochastic depth - 2016.pdf	2016-07-31 17:50	966K
	Rationalizing neural predictions - 2016.pdf	2016-11-03 17:01	550K
	Best practices for applying deep learning to novel areas - 2017.pdf	2017-04-05 17:09	419K
	Deep forest: An alternative to deep neural networks - 2017.pdf	2017-05-31 17:10	2.6M
	Forward thinking: Building and training neural networks one layer at a time - 2017.pdf	2017-06-08 17:23	425K
	comprehensibility/	2017-08-08 20:50	-
	get.txt	2017-08-08 20:55	160
	url.txt	2017-09-29 16:57	531
	Recent advances in recurrent neural networks - 2018.pdf	2018-02-25 17:05	687K