Techniques

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information EMNLP 2020 Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information EMNLP 2020 Pre-training Tasks for Embedding-based Large-scale Retrieval ICLR 2020 Pre-Training Transformers as Energy-Based Cloze Models EMNLP 2020 Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL 2020 PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020 ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training EMNLP 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 Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments AAAI 2020 Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection AAAI 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Quantifying Attention Flow in Transformers ACL 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 Query-Key Normalization for Transformers EMNLP 2020 Question-Driven Purchasing Propensity Analysis for Recommendation AAAI 2020 Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020 RANet: Region Attention Network for Semantic Segmentation NeurIPS 2020