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Papers
Estimation of Gap Between Current Language Models and Human Performance
Interspeech 2017
Population Matching Discrepancy and Applications in Deep Learning
NeurIPS 2017
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks
JMLR 2016
Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs
Interspeech 2016
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution
CVPR 2016
Accurate and conservative estimates of MRF log-likelihood using reverse annealing
AISTATS 2015
Enriching Visual Knowledge Bases via Object Discovery and Segmentation
CVPR 2014
Generative Modeling for Maximizing Precision and Recall in Information Visualization
AISTATS 2011
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
NeurIPS 2007
Mixture Regression for Covariate Shift
NeurIPS 2006