Efficient Computing

MLlib: Machine Learning in Apache Spark JMLR 2016 Model Compression Applied to Small-Footprint Keyword Spotting Interspeech 2016 Monotonic Calibrated Interpolated Look-Up Tables JMLR 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 NYTRO: When Subsampling Meets Early Stopping AISTATS 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 PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NeurIPS 2016 Persistent RNNs: Stashing Recurrent Weights On-Chip ICML 2016 Preconditioning Kernel Matrices ICML 2016 Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody Interspeech 2016 Pruning Random Forests for Prediction on a Budget NeurIPS 2016 Quantization based Fast Inner Product Search AISTATS 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Real-Time Action Recognition With Enhanced Motion Vector CNNs CVPR 2016 Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network CVPR 2016 ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements CVPR 2016 Recovering Transparent Shape From Time-Of-Flight Distortion CVPR 2016 Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016 Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction Interspeech 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016 Robot Motion Planning on a Chip RSS 2016 Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks Interspeech 2016