research
∙
12/23/2020
Speech Synthesis as Augmentation for Low-Resource ASR
Speech synthesis might hold the key to low-resource speech recognition. ...
share
research
∙
05/01/2020
Learning from Noisy Labels with Noise Modeling Network
Multi-label image classification has generated significant interest in r...
research
∙
04/25/2020
Combining Word Embeddings and N-grams for Unsupervised Document Summarization
Graph-based extractive document summarization relies on the quality of t...
research
∙
04/24/2020
Cross-lingual Information Retrieval with BERT
Multiple neural language models have been developed recently, e.g., BERT...
research
∙
09/18/2019
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data
We investigate the problem of machine learning with mislabeled training ...
research
∙
05/18/2017
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks
Infrared (IR) imaging has the potential to enable more robust action rec...
research
∙
02/11/2016
Generating Discriminative Object Proposals via Submodular Ranking
A multi-scale greedy-based object proposal generation approach is presen...
research
∙
02/03/2016
Learning Discriminative Features via Label Consistent Neural Network
Deep Convolutional Neural Networks (CNN) enforces supervised information...
research
∙
02/02/2014
Collaborative Receptive Field Learning
The challenge of object categorization in images is largely due to arbit...
research
∙
01/22/2014
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification
We now know that mid-level features can greatly enhance the performance ...
research
∙
08/01/2013