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Sho Yokoi

PRO
eumesy
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http://www.cl.ecei.tohoku.ac.jp/~yokoi/

Decks

最適輸送と自然言語処理
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
6
2.6k
言葉の形を教えてくれる自然言語処理
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
0
420
know yourself, create a playground
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
2
1.3k
Long-tail learning via logit adjustment
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
3
1.8k
How to leverage optimal transport
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
14
7k
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
3
1.9k
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
1
480
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
0
710
why is academic writing important for us
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
3
3.7k
Examine the meaning of unknown terms
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
10
3.8k
Poincaré Embeddings for Learning Hierarchical Representations
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
8
3.6k
Learning Co-Substructures by Kernel Dependence Maximization (2017-08-04)
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
0
1k
Word Embeddings as Metric Recovery in Semantic Spaces
0fee20d8bbb7283e1887e7075f638f59?s=48 eumesy
PRO
1
790

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