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Semi-Supervised Learning

3,075 papers

Papers per year

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Papers

Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text INTERSPEECH 2017
Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features INTERSPEECH 2017
A Transfer Learning Based Feature Extractor for Polyphonic Sound Event Detection Using Connectionist Temporal Classification INTERSPEECH 2017
Exploiting Eigenposteriors for Semi-Supervised Training of DNN Acoustic Models with Sequence Discrimination INTERSPEECH 2017
Semi-Supervised DNN Training with Word Selection for ASR INTERSPEECH 2017
Don’t Count on ASR to Transcribe for You: Breaking Bias with Two Crowds INTERSPEECH 2017
Online Bayesian Passive-Aggressive Learning JMLR 2017
Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017
Joint Label Inference in Networks JMLR 2017
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction SEMEVAL 2017
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NIPS 2016
Regret Bounds for Non-decomposable Metrics with Missing Labels NIPS 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NIPS 2016
Multi-step learning and underlying structure in statistical models NIPS 2016
Improved Techniques for Training GANs NIPS 2016
Clustering with Same-Cluster Queries NIPS 2016
Learning User Perceived Clusters with Feature-Level Supervision NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions NIPS 2016
Non-Linear Smoothed Transductive Network Embedding with Text Information ACML 2016
Enhancing Topic Modeling on Short Texts with Crowdsourcing ACML 2016
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation AISTATS 2016
Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016
NYTRO: When Subsampling Meets Early Stopping AISTATS 2016