Efficient Computing

RENAS: Reinforced Evolutionary Neural Architecture Search CVPR 2019 Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019 Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices NeurIPS 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 A Low Power, High Throughput, Fully Event-Based Stereo System CVPR 2018 Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018 Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018 Kalman Normalization: Normalizing Internal Representations Across Network Layers NeurIPS 2018 Learning to Optimize Tensor Programs NeurIPS 2018 Mixed Precision Training ICLR 2018 Path-Level Network Transformation for Efficient Architecture Search ICML 2018 Pieces of Eight: 8-bit Neural Machine Translation NAACL 2018 Towards Image Understanding from Deep Compression Without Decoding ICLR 2018 A Fully Convolutional Neural Network for Speech Enhancement Interspeech 2017 Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017 On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017 SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification CVPR 2016 Backpropagation for Energy-Efficient Neuromorphic Computing NeurIPS 2015 Learning both Weights and Connections for Efficient Neural Network NeurIPS 2015 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 Scalable Non-linear Learning with Adaptive Polynomial Expansions NeurIPS 2014 Analog readout for optical reservoir computers NeurIPS 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NeurIPS 2012