Deep Learning

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019 Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models ICML 2019 Overcoming Multi-model Forgetting ICML 2019 Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision ICLR 2019 P2SGrad: Refined Gradients for Optimizing Deep Face Models CVPR 2019 P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification CVPR 2019 PA3D: Pose-Action 3D Machine for Video Recognition CVPR 2019 PaLM: A Hybrid Parser and Language Model EMNLP 2019 PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation ACL 2019 Panoptic Feature Pyramid Networks CVPR 2019 PaperRobot: Incremental Draft Generation of Scientific Ideas ACL 2019 Parallel Iterative Edit Models for Local Sequence Transduction EMNLP 2019 Parallelizable Stack Long Short-Term Memory NAACL 2019 Parallel Optimal Transport GAN CVPR 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019 Parallel vs. Non-Parallel Voice Conversion for Esophageal Speech Interspeech 2019 Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization ICML 2019 Parameter Enhancement for MELP Speech Codec in Noisy Communication Environment Interspeech 2019 Parameter-free Sentence Embedding via Orthogonal Basis EMNLP 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Paraphrase Diversification Using Counterfactual Debiasing AAAI 2019 Paraphrase Generation with Latent Bag of Words NeurIPS 2019 Paraphrases as Foreign Languages in Multilingual Neural Machine Translation ACL 2019 Paraphrasing with Large Language Models EMNLP 2019 Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning SemEval 2019