Model Architecture

PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020 Pruned Graph Scattering Transforms ICLR 2020 Pruning Filter in Filter NeurIPS 2020 Pruning from Scratch AAAI 2020 Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point NeurIPS 2020 PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR Interspeech 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays MIDL 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 Quantum Algorithms for Deep Convolutional Neural Networks ICLR 2020 Quaternion Product Units for Deep Learning on 3D Rotation Groups CVPR 2020 Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020 Rational neural networks NeurIPS 2020 Raw Sign and Magnitude Spectra for Multi-Head Acoustic Modelling Interspeech 2020 Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020 Reducing Underflow in Mixed Precision Training by Gradient Scaling IJCAI 2020 Regional Tree Regularization for Interpretability in Deep Neural Networks AAAI 2020 Regularize, Expand and Compress: NonExpansive Continual Learning WACV 2020 Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph AAAI 2020 Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification AAAI 2020 Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks AAAI 2020 ReSprop: Reuse Sparsified Backpropagation CVPR 2020 REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020 Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets CVPR 2020