Date |
Person |
start |
leave |
hours |
status
|
2016/12/1
|
Andy Zhang |
9:30 |
18:30 |
8 |
- read source code
- thought about ways to store encoder output
|
Shiyue Zhang |
9:10 |
19:00 |
8+ |
|
Guli |
9:10 |
9:50 |
12+ |
- prepare data and run code
- prepare for Thesis Report
|
2016/12/2
|
Andy Zhang |
9:30 |
18:30 |
8 |
- finish the code to output encoder output but have not tested yet
- prepared a small data set for testing
|
Shiyue Zhang |
|
|
|
|
Guli |
9:05 |
18:05 |
8 |
- read code and check data
- think about how to improve bleu score
|
Peilun Xiao |
10:00 |
12:30 |
2+ |
- learn basic things of work
|
2016/12/5
|
Andy Zhang |
9:30 |
19:00 |
8+ |
- group meeting
- prepare the same data set as in Theano for Tensorflow
|
Shiyue Zhang |
9:30 |
19:00 |
8+ |
- discuss with teachers about the tsne pictures
- group meeting
|
Guli |
9:00 |
22:35 |
13+ |
- install moses
- weekly report
|
Peilun Xiao |
9:30 |
18:30 |
8 |
|
2016/12/6
|
Andy Zhang |
9:30 |
19:00 |
8+ |
- run fr-en (single encoder)
- prepare paraphrase data set, enumerate them, excluding 呀啊哈, etc.
|
Shiyue Zhang |
|
|
|
|
Guli |
9:05 |
22;30 |
12+ |
- run moses
- write Thesis Report
|
Peilun Xiao |
9:40 |
18:30 |
8 |
|
2016/12/7
|
Andy Zhang |
9:30 |
19:00 |
8+ |
- prepare paraphrase data set, enumerate them, excluding 呀啊哈, etc.
- met with some problems, used too much memory, had to restrict enumerate nums to 15000
|
Shiyue Zhang |
9:30 |
19:00 |
8+ |
- change mem to 28-dim states
- retry previous experiments
|
Guli |
9:15 |
22;00 |
12+ |
- run moses
- write Thesis Report
|
Peilun Xiao |
|
|
|
|
2016/12/8
|
Andy Zhang |
9:30 |
19:00 |
8+ |
- finished preparing the data set
- start working on bidirectional model
|
Shiyue Zhang |
9:30 |
19:00 |
8+ |
- try more experiments, but all are not good, always converge to baseline
- draw the tsne picture of test data
- discuss with Teacher Wang
|
Guli |
9:15 |
21;15 |
12 |
- run moses
- write Thesis Report
|
Peilun Xiao |
9:30 |
17:30 |
7 |
|
2016/12/9
|
Andy Zhang |
9:30 |
19:00 |
8+ |
- finished coding, added masks for encoder inputs
- had a some breakthrough with Jiyuan's help, but still meet nan problem
|
Shiyue Zhang |
9:30 |
19:00 |
8+ |
- return to 384-dim mem, which has 0.07 improvement than baseline
- replace cos with a one-layer neural network, which is also slightly better than baseline
- discuss with teachers, and find the problem of scale
|
Guli |
9:15 |
21;30 |
12 + |
|
Peilun Xiao |
|
|
|
|
2016/12/12
|
Andy Zhang |
|
|
|
|
Shiyue Zhang |
|
|
|
|
Guli |
10:00 |
19;00 |
9 |
|
Peilun Xiao |
|
|
|
|
2016/12/13
|
Andy Zhang |
|
|
|
|
Shiyue Zhang |
|
|
|
|
Guli |
09:30 |
21;00 |
11+ |
|
Peilun Xiao |
|
|
|
|
2016/12/14
|
Andy Zhang |
|
|
|
|
Shiyue Zhang |
|
|
|
|
Guli |
09:20 |
20;30 |
11+ |
- read papers
- writing a survey
|
Peilun Xiao |
|
|
|
|
2016/12/15
|
Andy Zhang |
|
|
|
|
Shiyue Zhang |
|
|
|
|
Guli |
09:20 |
20;30 |
11+ |
- read papers
- writing a survey
|
Peilun Xiao |
|
|
|
|