Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Judy Hanwen Shen"'
Autor:
Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 11, Iss 3 (2021)
We study the basic operation of set union in the global model of differential privacy. In this problem, we are given a universe $U$ of items, possibly of infinite size, and a database $D$ of users. Each user $i$ contributes a subset $W_i \subseteq U$
Externí odkaz:
https://doaj.org/article/7a39a2fd76d045ca8799db36004f25df
Publikováno v:
AAAI
Open-domain dialog generation is a challenging problem; maximum likelihood training can lead to repetitive outputs, models have difficulty tracking long-term conversational goals, and training on standard movie or online datasets may lead to the gene
Autor:
Noah Jones, Natasha Jaques, Craig Ferguson, Asma Ghandeharioun, Shixiang Shane Gu, Judy Hanwen Shen, Agata Lapedriza, Rosalind W. Picard
Publikováno v:
EMNLP (1)
How can we train a dialog model to produce better conversations by learning from human feedback, without the risk of humans teaching it harmful chat behaviors? We start by hosting models online, and gather human feedback from real-time, open-ended co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c16c0690e9c7011b5bf80749d791444
http://arxiv.org/abs/2010.05848
http://arxiv.org/abs/2010.05848
Publikováno v:
ACII
Online platforms displaying long streams of examples are often employed to gather labels from both experts and crowd workers. While previous work in crowdsourcing focused on objective tasks and estimating error parameters of annotators, collecting la
Publikováno v:
CoNLL
Simple reference games are of central theoretical and empirical importance in the study of situated language use. Although language provides rich, compositional truth-conditional semantics to facilitate reference, speakers and listeners may sometimes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f69fa12004d41cfe9e9416e190fde61c
http://arxiv.org/abs/1810.03717
http://arxiv.org/abs/1810.03717
Autor:
Abhimanyu Dubey, Manuel Cebrian, Casey Jisoo Hong, Nick Obradovich, Ziv Epstein, Blakeley H. Payne, Matthew Groh, Iyad Rahwan, Bjarke Felbo, Judy Hanwen Shen
Publikováno v:
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)
Scopus-Elsevier
IJCAI
Scopus-Elsevier
IJCAI
We introduce TuringBox, a platform to democratize the study of AI. On one side of the platform, AI contributors upload existing and novel algorithms to be studied scientifically by others. On the other side, AI examiners develop and post machine inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950499df15200e013e42a15554650763
https://hdl.handle.net/21.11116/0000-0003-1A4C-C21.11116/0000-0003-3F57-6
https://hdl.handle.net/21.11116/0000-0003-1A4C-C21.11116/0000-0003-3F57-6
Autor:
Frank Rudzicz, Judy Hanwen Shen
Publikováno v:
CLPsych@ACL
Previous investigations into detecting mental illnesses through social media have predominately focused on detecting depression through Twitter corpora. In this paper, we study anxiety disorders through personal narratives collected through the popul