Application Areas

DFQF: Data Free Quantization-aware Fine-tuning ACML 2020 Diagnosing the Environment Bias in Vision-and-Language Navigation IJCAI 2020 Dialect Identification under Domain Shift: Experiments with Discriminating Romanian and Moldavian COLING 2020 Dialog State Tracking with Reinforced Data Augmentation AAAI 2020 Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data EMNLP 2020 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Difference-Seeking Generative Adversarial Network--Unseen Sample Generation ICLR 2020 Differentiable Augmentation for Data-Efficient GAN Training NeurIPS 2020 Differentiable Product Quantization for End-to-End Embedding Compression ICML 2020 Differentiable Top-k with Optimal Transport NeurIPS 2020 Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020 Differentially Private Clustering: Tight Approximation Ratios NeurIPS 2020 Differentially Private Language Models Benefit from Public Pre-training EMNLP 2020 Differentially Private Learning with Small Public Data AAAI 2020 Differentially Private Meta-Learning ICLR 2020 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 Differentially Private Set Union ICML 2020 Differentially Private Small Dataset Release Using Random Projections UAI 2020 Differentially Private Survival Function Estimation MLHC 2020 Differentially Private Top-k Selection via Stability on Unknown Domain UAI 2020 Differential Privacy for Stackelberg Games IJCAI 2020 Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation CVPR 2020 DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling EMNLP 2020 Directional Pruning of Deep Neural Networks NeurIPS 2020 Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020