Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
An_Embarrassingly_Simple_Approach_for_Transfer_...
Search
MARUYAMA
July 10, 2019
0
130
An_Embarrassingly_Simple_Approach_for_Transfer_Learning_from_Pretrained_Language_Models_.pdf
MARUYAMA
July 10, 2019
Tweet
Share
More Decks by MARUYAMA
See All by MARUYAMA
vampire.pdf
tmaru0204
0
150
Misspelling_Oblivious_Word_Embedding.pdf
tmaru0204
0
170
Simple_Unsupervised_Summarization_by_Contextual_Matching.pdf
tmaru0204
0
160
Controlling_Text_Complexity_in_Neural_Machine_Translation.pdf
tmaru0204
0
140
20191028_literature-review.pdf
tmaru0204
0
140
Hint-Based_Training_for_Non-Autoregressive_Machine_Translation.pdf
tmaru0204
0
120
Soft_Contextual_Data_Augmentation_for_Neural_Machine_Translation_.pdf
tmaru0204
0
150
Addressing_Trobulesome_Words_in_Neural_Machine_Translation.pdf
tmaru0204
0
130
Simple_Unsupervised_Keyphrase_Extraction_using_Sentence_Embeddings.pdf
tmaru0204
0
180
Featured
See All Featured
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
47
5.2k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
49
2.3k
Why You Should Never Use an ORM
jnunemaker
PRO
55
9.2k
A Tale of Four Properties
chriscoyier
158
23k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
233
17k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
32
2.2k
Art, The Web, and Tiny UX
lynnandtonic
298
20k
Designing for humans not robots
tammielis
250
25k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
27
1.9k
A Philosophy of Restraint
colly
203
16k
Being A Developer After 40
akosma
89
590k
Transcript
"O&NCBSSBTTJOHMZ4JNQMF"QQSPBDIGPS 5SBOTGFS-FBSOJOHGSPN1SFUSBJOFE-BOHVBHF.PEFMT "MFYBOESB$ISPOPQPVMPV $ISJTUPT#B[JPUJT "MFYBOESPT1PUBNJBOPT /""$-)-5 QBHFTr -JUFSBUVSFSFWJFX /BHBPLB6OJWFSTJUZPG5FDIOPMPHZ5BLVNJ.BSVZBNB
"CTUSBDU ⾣FOEUPFOEʹֶशͤ͞ΔγϯϓϧͳసҠֶशख๏ΛఏҊ ⾣ࣄલֶशͨ͠ݴޠϞσϧΛྨλεΫʹpOFUVOJOH ⾣༷ʑͳςΩετྨλεΫͰɺطଘख๏Λ͑ΔੑೳΛୡ
3FMBUFEXPSL ⾣6-.'J5 %JTDSJNJOBUJWFpOFUVOJOH֤ͰֶशΛมԽͤ͞Δ 4MBOUFEUSJBOHVMBSMFBSOJOHSBUFT
.PEFM 4J"5- ⾣-.1SFUSBJOJOH ⾣5SBOTGFSBVYJMJBSZMPTT ɾFYQPOFOUJBMEFDBZPGЍ FQPDIຖʹЍΛࢦతʹݮਰ ɾTFRVFOUJBMVOGSFF[JOH ্ͷ͔Βॱ࣍ղౚ͠ɺpOFUVOJOH
&YQFSJNFOUBMTFUVQT ⾣%BUBTFUT ɾ*SPOZJSPOZEFUFDUJPO ɾ4FOUTFOUJNFOUBOBMZTJT ɾ4$W 4$WTBSDBTNEFUFDUJPO ɾ1TZDI&YQFNPUJPOSFDPHOJUJPO
3FTVMUT ⾣"CMBUJPOTUVEZ
3FTVMUT ⾣/VNCFSPGFYBNQMFT ɾ4J"5- DPOUJOVPVTMJOFT ɾ6-.'J5 EBTIFEMJOFT dσʔλఔͰɺ 6-.'J5ʹඖఢ͢Δੑೳ
3FTVMUT ⾣&YQPOFOUJBMEFDBZPGЍ *OJUJBMWBMVF 'JOBMWBMVF
$PODMVTJPO ⾣FOEUPFOEʹֶशͤ͞ΔγϯϓϧͳసҠֶशख๏ΛఏҊ ⾣ࣄલֶशͨ͠ݴޠϞσϧΛྨλεΫʹpOFUVOJOH ⾣༷ʑͳςΩετྨλεΫͰɺطଘख๏Λ͑ΔੑೳΛୡ