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Likelihood Ratios and Generative Classifiers for Unsupervised
  Out-of-Domain Detection In Task Oriented Dialog

Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog

30 December 2019
Varun Gangal
Abhinav Arora
Arash Einolghozati
S. Gupta
    OODD
ArXiv (abs)PDFHTML

Papers citing "Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog"

11 / 11 papers shown
Title
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
209
728
0
07 Jun 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,487
0
11 Dec 2018
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog
Sebastian Schuster
S. Gupta
Rushin Shah
M. Lewis
78
286
0
31 Oct 2018
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
83
759
0
22 Oct 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
192
2,063
0
10 Jul 2018
Snips Voice Platform: an embedded Spoken Language Understanding system
  for private-by-design voice interfaces
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
A. Coucke
Alaa Saade
Adrien Ball
Théodore Bluche
A. Caulier
...
Thibault Gisselbrecht
F. Caltagirone
Thibaut Lavril
Maël Primet
Joseph Dureau
SyDa
115
827
0
25 May 2018
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
128
882
0
26 Nov 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
Generative and Discriminative Text Classification with Recurrent Neural
  Networks
Generative and Discriminative Text Classification with Recurrent Neural Networks
Dani Yogatama
Chris Dyer
Wang Ling
Phil Blunsom
74
199
0
06 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
176
3,480
0
07 Oct 2016
word2vec Explained: deriving Mikolov et al.'s negative-sampling
  word-embedding method
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Yoav Goldberg
Omer Levy
SSL
81
1,611
0
15 Feb 2014
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