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Safe Screening For Sparse Regression With The Kullback-Leibler Divergence

An Order-Optimal Adaptive Test Plan For Noisy Group Testing Under Unknown Noise Models

A Mnemonic Kalman Filter For Non-Linear Systems With Extensive Temporal Dependencies

Fast And Robust Stratified Self-Calibration Using Time-Difference-Of-Arrival Measurements

Joint Asr And Language Identification Using Rnn-T: An Efficient Approach To Dynamic Language Switching

Phone Distribution Estimation For Low Resource Languages

Automatic Elicitation Compliance For Short-Duration Speech Based Depression Detection

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model For Ordinal Label Estimation

Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning And A Large Corpus

Detecting Alzheimer'S Disease From Speech Using Neural Networks With Bottleneck Features And Data Augmentation

Real-Time Radio Modulation Classification With An Lstm Auto-Encoder

Optimize What Matters: Training Dnn-Hmm Keyword Spotting Model Using End Metric