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yeah it's less oh yeah yeah yeah
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i see i think ah it's really like the same brought in to go back 'cause
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going this way it's been years so it's nice to be away from that direct on
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uh_huh uh_huh uh_huh
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right is the biggest that maybe we came from different direct sun but maybe that that's
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one possible various and i i'm not sure that it really makes a lot of difference
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but in um i'm playing with this and we just decided to step back a 'cause we didn't have any memory for for what i read in
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yeah but but we can memorise and like reading maybe it's no problem
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i don't know how how big a difference it is but i think the essence idea it's quite the same
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yeah thank you and yes right yeah oh no no
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in any case yeah they have you have ideas some some yeah uh_huh
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yeah ah so uh like pixie i i worked on
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the problem called come are it's if an actor also published
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a book on that it's a kind of trance for learning like training domain and this domain have difference you do something
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and we can somehow combine those techniques she are 'cause as i say this is the simplest impeccably skin my this
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on like we can also like of some importance weightlessness and apply for like coming up this and this is also possible
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and also in some applied project we have already done and it is martin in some cases and it is not in some other cases
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but uh this is the simplest expression and becomes a
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combine any like fancy techniques developing wasn't running in this film
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it's ah it's
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you know oh uh_huh yeah ah i guess
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now i i completely agree with it so we we should have done something for that but so far like for that can communism
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we just did some applied without and we just focus on the simplest for mark but right so maybe we should also the that
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yeah thank remote
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yes
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it's it's
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yeah uh_huh
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oh you are so uh this is enough week label week data exactly quite ambiguous also you might though so i i
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maybe my does not really right but like okay i not
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fully need a bit data but we suppose something is missing
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like in this in this case negative labels i'm missing the dusty you learning maybe p. n. is bit
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different but then pecans case we we uh missing negative
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data but posed to be tested before they could it
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posted confidence so maybe the uh not technology is not that really consistent here but we are trying to say that
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thankfully supper was linings extremely expensive in many cases but
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in some applications like collecting posting data it's quite cheap well
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correcting typos that convinces almost for free then we should be going to use that information to training class right yeah
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so we're not really saying like these methods the university useful for almost all problems
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for some problems like i it's maybe useful like for example okay we're working on
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brings ignore analysis for some purposes in that case i. t. was do they thought
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is this a common for free so we aren't sure about like data collected in this race all always posted
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then posed to the car can be clicked it for free and and the the data is also for free
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so then basically in terms of the cost it the same ostensible was
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lined but we can be performed syllable was done with a with a guarantee
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the that the kind of goal we are heading for us to it maybe we we're not we summarise things quite well but
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uh i i mean i don't read yeah i answer your question created but
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oh
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yeah
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yeah yeah yeah yeah yeah yeah that's with the p. confiscation i think yeah yeah that that he
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can for data and also if you have incomes they thought that that can also be just you know
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okay uh_huh
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yeah yeah i i i ah mm
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uh_huh
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ah okay uh_huh yeah i agree with that that that's a very important point and we had a three so some
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new play pause on only the bias this jason like we have biased 'cause they they tell a biased native data
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uh oh 'cause we need some additional some some day uh but we can also some somewhat cope with that
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kind of station yeah we also only of that kind of seasoning pack this yeah but that's really important i think
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yes yeah i
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a what
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yeah so okay uh you are really right so we had the bomb the like this
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but he actually i just showed all that but there's a hidden constant it came minus one case the number of classes
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the because it's clear like if it's k. classes like one label that one ordinary label
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request one thirty minutes long company the labels and really had a pound in that way
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but yeah i this is not not found actually tried to improve it was maybe if a mini class it's some are correlated
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if we can take that correlation into account hopefully we can be just a
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minus one pop up to a small number but maybe you didn't write up here

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Conference Program

Recent advances in weakly-supervised learning and reliable learning
Prof. Masashi Sugiyama
28 May 2019 · 11:04 a.m.
Q&A
Prof. Masashi Sugiyama
28 May 2019 · 11:59 a.m.