Deep Learning

Differentiable Product Quantization for End-to-End Embedding Compression ICML 2020 Differentiable Scene Graphs WACV 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision CVPR 2020 Differentiable Window for Dynamic Local Attention ACL 2020 Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020 Differentially Private Language Models Benefit from Public Pre-training EMNLP 2020 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation CVPR 2020 Differentiating through the Fréchet Mean ICML 2020 Differentiation of Blackbox Combinatorial Solvers ICLR 2020 DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling NeurIPS 2020 DiffTaichi: Differentiable Programming for Physical Simulation ICLR 2020 Diffusion Variational Autoencoders IJCAI 2020 Digital Voicing of Silent Speech EMNLP 2020 Digraph Inception Convolutional Networks NeurIPS 2020 Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text EMNLP 2020 Dimsum @LaySumm 20 EMNLP 2020 Direct estimation of fetal head circumference from ultrasound images based on regression CNN MIDL 2020 Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures NeurIPS 2020 Directional convergence and alignment in deep learning NeurIPS 2020 Directional Message Passing for Molecular Graphs ICLR 2020 Directional Pruning of Deep Neural Networks NeurIPS 2020 Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020 Dirichlet Graph Variational Autoencoder NeurIPS 2020