Deep Learning

Distilling Multiple Domains for Neural Machine Translation EMNLP 2020 Distilling Neural Networks for Greener and Faster Dependency Parsing ACL 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 Distilling Structured Knowledge for Text-Based Relational Reasoning EMNLP 2020 Distilling the Knowledge of BERT for Sequence-to-Sequence ASR Interspeech 2020 Distinguish Confusing Law Articles for Legal Judgment Prediction ACL 2020 Distortion Agnostic Deep Watermarking CVPR 2020 Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism AAAI 2020 DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing CVPR 2020 Distributed Iterative Gating Networks for Semantic Segmentation WACV 2020 Distributed Representations for Arithmetic Word Problems AAAI 2020 Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020 Distributional Robustness with IPMs and links to Regularization and GANs NeurIPS 2020 Distribution Augmentation for Generative Modeling ICML 2020 Distribution-Aware Coordinate Representation for Human Pose Estimation CVPR 2020 Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning CVPR 2020 DIVA: Domain Invariant Variational Autoencoders MIDL 2020 Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness ACL 2020 Diverse Image Generation via Self-Conditioned GANs CVPR 2020 Diverse Plausible Shape Completions from Ambiguous Depth Images CoRL 2020 Diverse Trajectory Forecasting with Determinantal Point Processes ICLR 2020 Diversified Arbitrary Style Transfer via Deep Feature Perturbation CVPR 2020 Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification EMNLP 2020 Diversifying Dialogue Generation with Non-Conversational Text ACL 2020 Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020