Papers
Differentially Private and Fair Classification via Calibrated Functional Mechanism
Jiahao Ding, Xinyue Zhang, Xiaohuan Li et al.
Differentially Private Learning with Small Public Data
Jun Wang, Zhi-Hua Zhou
Discontinuous Constituent Parsing with Pointer Networks
Daniel Fernández-González, Carlos Gómez-Rodríguez
Discourse Level Factors for Sentence Deletion in Text Simplification
Yang Zhong, Chao Jiang, Wei Xu et al.
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Ting-En Lin, Hua Xu, Hanlei Zhang
Discovery News: A Generic Framework for Financial News Recommendation
Chong Wang, Lisa Kim, Grace Bang et al.
Discretizing Continuous Action Space for On-Policy Optimization
Yunhao Tang, Shipra Agrawal
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
Mononito Goswami, Lujie Chen, Artur Dubrawski
Discriminative Adversarial Domain Adaptation
Hui Tang, Kui Jia
Discriminative and Robust Online Learning for Siamese Visual Tracking
Jinghao Zhou, Peng Wang, Haoyang Sun
Discriminative Sentence Modeling for Story Ending Prediction
Yiming Cui, Wanxiang Che, Wei-Nan Zhang et al.
Distance-Based Equilibria in Normal-Form Games
Erman Acar, Reshef Meir
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng, Ping Wang, Wei Liu et al.
Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract)
Xingkai Ren, Ronghua Shi, Fangfang Li
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
Zhenyu Zhang, Xiaobo Shu, Bowen Yu et al.
Distilling Portable Generative Adversarial Networks for Image Translation
Hanting Chen, Yunhe Wang, Han Shu et al.
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
Mingda Wu, Di Huang, Yuanfang Guo et al.
Distributed Machine Learning through Heterogeneous Edge Systems
Hanpeng Hu, Dan Wang, Chuan Wu
Distributed Primal-Dual Optimization for Online Multi-Task Learning
Peng Yang, Ping Li
Distributed Representations for Arithmetic Word Problems
Sowmya S Sundaram, Deepak P, Savitha Sam Abraham
Distributed Stochastic Gradient Descent with Event-Triggered Communication
Jemin George, Prudhvi Gurram
Distributionally Robust Counterfactual Risk Minimization
Louis Faury, Ugo Tanielian, Elvis Dohmatob et al.
Diversified Bayesian Nonnegative Matrix Factorization
Qiao Maoying, Yu Jun, Liu Tongliang et al.
Diversified Interactive Recommendation with Implicit Feedback
Yong Liu, Yingtai Xiao, Qiong Wu et al.
Diversity Transfer Network for Few-Shot Learning
Mengting Chen, Yuxin Fang, Xinggang Wang et al.