Efficient Computing

Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets CVPR 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Revisiting Parameter Sharing for Automatic Neural Channel Number Search NeurIPS 2020 Robust Quantization: One Model to Rule Them All NeurIPS 2020 RoutedFusion: Learning Real-Time Depth Map Fusion CVPR 2020 SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection NeurIPS 2020 SampleNet: Differentiable Point Cloud Sampling CVPR 2020 schuBERT: Optimizing Elements of BERT ACL 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms AAAI 2020 Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract) AAAI 2020 SMYRF - Efficient Attention using Asymmetric Clustering NeurIPS 2020 Sparse Weight Activation Training NeurIPS 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking AAAI 2020 SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020 SSRNet: Scalable 3D Surface Reconstruction Network CVPR 2020 Stochastic Optimization with Laggard Data Pipelines NeurIPS 2020 Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020 Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020 Structured Convolutions for Efficient Neural Network Design NeurIPS 2020 TEINet: Towards an Efficient Architecture for Video Recognition AAAI 2020 The Cascade Transformer: an Application for Efficient Answer Sentence Selection ACL 2020 The NiuTrans System for WNGT 2020 Efficiency Task ACL 2020 The Right Tool for the Job: Matching Model and Instance Complexities ACL 2020 Time-aware Large Kernel Convolutions ICML 2020