Deep Learning

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NeurIPS 2019 Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation ACL 2019 Putting Words in Context: LSTM Language Models and Lexical Ambiguity ACL 2019 PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation CVPR 2019 PVRNet: Point-View Relation Neural Network for 3D Shape Recognition AAAI 2019 Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training CVPR 2019 Pyramid Feature Attention Network for Saliency Detection CVPR 2019 Pyramid Memory Block and Timestep Attention for Speech Emotion Recognition Interspeech 2019 Pyro: Deep Universal Probabilistic Programming JMLR 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019 QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization EMNLP 2019 QATM: Quality-Aware Template Matching for Deep Learning CVPR 2019 QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation ACL 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Quality Aware Generative Adversarial Networks NeurIPS 2019 Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech Interspeech 2019 Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings ACL 2019 Quantifying Similarity between Relations with Fact Distribution ACL 2019 Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019 Quantity doesn’t buy quality syntax with neural language models EMNLP 2019 Quantization Networks CVPR 2019 Quantum Wasserstein Generative Adversarial Networks NeurIPS 2019 Quasi-hyperbolic momentum and Adam for deep learning ICLR 2019 Quasi-Unsupervised Color Constancy CVPR 2019