2015年8月10日 (一) 01:33的版本 （查看源代码） Xingchao（讨论 | 贡献） （以“==Speech Processing == === AM development === ==== Environment ==== * grid-14 is on repairation * prepare to buy a server ==== RNN AM==== *hold *morpheme RNN --z...”为内容创建页面）		2015年8月10日 (一) 02:23的版本 （查看源代码） Xingchao（讨论 | 贡献） （→‎Text Processing） 下一编辑→
第66行：		第66行：
	====RNN Rank Task====		====RNN Rank Task====
		+	:*Paper: RNN Rank Net.
	* (hold)		* (hold)
		+
		+	====Graph RNN====
		+	:* Entity path embeded to entity.
		+	*(hold)
	====RNN Word Segment====		====RNN Word Segment====
		+	:* Set bound to word segment.
	* (hold)		* (hold)
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	:*LDA matrix dissovle.		:*LDA matrix dissovle.
	:* LDA (Text classification & Recommendation System) --> AAAI		:* LDA (Text classification & Recommendation System) --> AAAI
−
−	====DSSM based QA====
−	:* Demo Release.(English done.)
−	*Chinese Model start.
	====RNN based QA====		====RNN based QA====
	*Read Source Code.		*Read Source Code.
		+	*Attention based QA.
		+	*(hold)
		+
		+	====RNN Poem Process====
		+	*Seq based BP.
	===Text Group Intern Project===		===Text Group Intern Project===
	====Buddhist Process====		====Buddhist Process====
	(hold)		(hold)
		+
	====RNN Poem Process====		====RNN Poem Process====
−	*Read Paper & Source Code.	+	*Done by Haichao yu & Chaoyuan zuo Mentor : Tianyi Luo.
	====RNN Document Vector====		====RNN Document Vector====
	(hold)		(hold)
		+
	====Image Baseline====		====Image Baseline====
	:*Demo Release.		:*Demo Release.
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	====Match RNN ====		====Match RNN ====
	* (Hold)		* (Hold)
−
	=financial group=		=financial group=

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2015年8月10日 (一) 02:23的版本

Speech Processing

AM development

Environment

• grid-14 is on repairation
• prepare to buy a server

RNN AM

• hold
• morpheme RNN --zhiyuan
• train using 1400h large dataset--mengyuan
• write code to tune learning rate

Mic-Array

• hold
• compute EER with kaldi

====Data selection unsupervised learning

• hold
• acoustic feature based submodular using Pinan dataset --zhiyong
• write code to speed up --zhiyong

RNN-DAE(Deep based Auto-Encode-RNN)

• hold
• deliver to mengyuan

• http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=261

Speaker ID

• DNN-based sid --Lantian

• http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=327

Ivector&Dvector based ASR

• hold --Tian Lan
• Cluster the speakers to speaker-classes, then using the distance or the posterior-probability as the metric
• dark-konowlege using i-vector
• train on wsj(testbase dev93+evl92)

• --hold

language vector

• hold
• train using language vector with the dataset of 1400h_CN + 100h_EN--mengyuan

• hold

• write a paper--zhiyuan
• RNN language vector
• train as a paper--xuewei

rectifier

• hold
• rectifier RNN --zhiyuan

monophone

• hold
• triphone is tranfered to monophone

Text Processing

RNN LM

• character-lm rnn(hold)
• lstm+rnn

• check the lstm-rnnlm code about how to Initialize and update learning rate.(hold)

Neural Based Document Classification

• (hold)

RNN Rank Task

• Paper: RNN Rank Net.

• (hold)

Graph RNN

• Entity path embeded to entity.

• (hold)

RNN Word Segment

• Set bound to word segment.

• (hold)

Seq to Seq(09-15)

• Review papers.
• Reproduce baseline. (08-03)

Order representation

• Nested Dropout

• semi-linear --> neural based auto-encoder.

• modify the objective function(hold)

Balance Representation

• Find error signal

Recommendation

• Reproduce baseline.

• LDA matrix dissovle.
• LDA (Text classification & Recommendation System) --> AAAI

RNN based QA

• Read Source Code.
• Attention based QA.
• (hold)

RNN Poem Process

• Seq based BP.

Text Group Intern Project

Buddhist Process

(hold)

RNN Poem Process

• Done by Haichao yu & Chaoyuan zuo Mentor : Tianyi Luo.

RNN Document Vector

(hold)

Image Baseline

• Demo Release.
• Paper Report.

• Read CNN Paper.

Text Intuitive Idea

Trace Learning

• (Hold)

Match RNN

• (Hold)

financial group

tonglian platform

• learn the platform

• arma,ar,boosting tree is done

strategy

• rule optimize model

• technology index

• survey the current technology index

• NN

• RNN model using Theano

display platform

• transplant the algorithm