Efficient Computing

Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity Interspeech 2020 Compressing Neural Machine Translation Models with 4-bit Precision ACL 2020 Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network ICLR 2020 ConvBERT: Improving BERT with Span-based Dynamic Convolution NeurIPS 2020 ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems ACL 2020 Convolutional Hierarchical Attention Network for Query-Focused Video Summarization AAAI 2020 Coping With Simulators That Don’t Always Return AISTATS 2020 Coresets for Data-efficient Training of Machine Learning Models ICML 2020 Coresets for Regressions with Panel Data NeurIPS 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Cost-Effective Interactive Attention Learning with Neural Attention Processes ICML 2020 Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset EMNLP 2020 CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020 CrossFS: A Cross-layered Direct-Access File System OSDI 2020 CryptoNAS: Private Inference on a ReLU Budget NeurIPS 2020 Customizing ML Predictions for Online Algorithms ICML 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 Data-Efficient Semi-Supervised Learning by Reliable Edge Mining CVPR 2020 Data-Independent Neural Pruning via Coresets ICLR 2020 Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems COLING 2020 Deep Convolutional Spiking Neural Networks for Keyword Spotting Interspeech 2020 Deep Implicit Volume Compression CVPR 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep probabilistic subsampling for task-adaptive compressed sensing ICLR 2020 Deep Reinforcement Learning for Active Human Pose Estimation AAAI 2020