Deep Learning

Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019 Data augmentation using back-translation for context-aware neural machine translation EMNLP 2019 Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation CVPR 2019 Data Augmentation Using Variational Autoencoder for Embedding Based Speaker Verification Interspeech 2019 Data Augmentation with Atomic Templates for Spoken Language Understanding EMNLP 2019 Data Cleansing for Models Trained with SGD NeurIPS 2019 DATA: Differentiable ArchiTecture Approximation NeurIPS 2019 Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019 Data-driven Estimation of Sinusoid Frequencies NeurIPS 2019 Data-Driven Neuron Allocation for Scale Aggregation Networks CVPR 2019 Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019 Data Fine-Tuning AAAI 2019 Data-Free Learning of Student Networks ICCV 2019 Data-Free Quantization Through Weight Equalization and Bias Correction ICCV 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Data Representation and Learning With Graph Diffusion-Embedding Networks CVPR 2019 Dataset Mention Extraction and Classification NAACL 2019 Data-to-Text Generation with Content Selection and Planning AAAI 2019 Data-to-text Generation with Entity Modeling ACL 2019 DAVANet: Stereo Deblurring With View Aggregation CVPR 2019 DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation MIDL 2019 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition CVPR 2019 DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals ICCV 2019 Debiasing Embeddings for Reduced Gender Bias in Text Classification ACL 2019