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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Training Data Enrichment for Infrequent Discourse Relations COLING 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions INTERSPEECH 2016
Retrieving Categorical Emotions Using a Probabilistic Framework to Define Preference Learning Samples INTERSPEECH 2016
MEKA: A Multi-label/Multi-target Extension to WEKA JMLR 2016
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models INTERSPEECH 2016
Error Correction in Lightly Supervised Alignment of Broadcast Subtitles INTERSPEECH 2016
Chinese Tense Labelling and Causal Analysis COLING 2016
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM INTERSPEECH 2016
Iterative PLDA Adaptation for Speaker Diarization INTERSPEECH 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification ICML 2016
Estimating Mutual Information in Under-Reported Variables PGM 2016
A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding INTERSPEECH 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NIPS 2016
Lightly Supervised Quality Estimation COLING 2016
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016
Efficiently Creating 3D Training Data for Fine Hand Pose Estimation CVPR 2016
Semi-Supervised Vocabulary-Informed Learning CVPR 2016
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016
Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016
SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016
Regret Bounds for Non-decomposable Metrics with Missing Labels NIPS 2016
Multi-step learning and underlying structure in statistical models NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Improved Techniques for Training GANs NIPS 2016