Application Areas

Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Privately Learning High-Dimensional Distributions COLT 2019 Private Model Compression via Knowledge Distillation AAAI 2019 Private Stochastic Convex Optimization with Optimal Rates NeurIPS 2019 Private Testing of Distributions via Sample Permutations NeurIPS 2019 Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation Interspeech 2019 Probability Distillation: A Caveat and Alternatives UAI 2019 Processing Megapixel Images with Deep Attention-Sampling Models ICML 2019 PRoFET: Predicting the Risk of Firms from Event Transcripts IJCAI 2019 Progressive Augmentation of GANs NeurIPS 2019 Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019 Progressive Teacher-Student Learning for Early Action Prediction CVPR 2019 Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019 PROMT Systems for WMT 2019 Shared Translation Task ACL 2019 Proportionally Fair Clustering ICML 2019 Proposed Taxonomy for Gender Bias in Text; A Filtering Methodology for the Gender Generalization Subtype ACL 2019 ProSeqo: Projection Sequence Networks for On-Device Text Classification EMNLP 2019 PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach ICML 2019 Proximal Mean-Field for Neural Network Quantization ICCV 2019 PuppetGAN: Cross-Domain Image Manipulation by Demonstration ICCV 2019 Pushing the Limits of Low-Resource Morphological Inflection EMNLP 2019 PyRoboLearn: A Python Framework for Robot Learning Practitioners CoRL 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task ACL 2019