Skip to content
conftrace_

Application Areas

34,437 papers (4 classified directly here)

1
4
35
147
2,498
7,176
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016 Multilinear Hyperplane Hashing CVPR 2016 Multilingual Data Selection for Low Resource Speech Recognition Interspeech 2016 Multiple-Play Bandits in the Position-Based Model NeurIPS 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Multivariate Regression on the Grassmannian for Predicting Novel Domains CVPR 2016 Network Morphism ICML 2016 Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition Interspeech 2016 Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input Interspeech 2016 Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions Interspeech 2016 Noisy Label Recovery for Shadow Detection in Unfamiliar Domains CVPR 2016 No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing ICML 2016 NYTRO: When Subsampling Meets Early Stopping AISTATS 2016 On Regularizing Rademacher Observation Losses NeurIPS 2016 On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement Interspeech 2016 On the Efficient Representation and Execution of Deep Acoustic Models Interspeech 2016 Optimal spectral transportation with application to music transcription NeurIPS 2016 Optimal Tagging with Markov Chain Optimization NeurIPS 2016 Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages Interspeech 2016 PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors COLING 2016 Parallel Speaker and Content Modelling for Text-Dependent Speaker Verification Interspeech 2016 Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016 Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach JMLR 2016 PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NeurIPS 2016 Persistent RNNs: Stashing Recurrent Weights On-Chip ICML 2016