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34,437 papers (4 classified directly here)

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Papers (including subtopics)

Detecting and Reducing Bias in a High Stakes Domain EMNLP 2019 Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus NAACL 2019 Detecting harassment in real-time as conversations develop ACL 2019 Detection of Abusive Language: the Problem of Biased Datasets NAACL 2019 Detection of Adverse Drug Reaction Mentions in Tweets Using ELMo ACL 2019 Detection of Propaganda Using Logistic Regression EMNLP 2019 Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents IJCAI 2019 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019 Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services NAACL 2019 Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System NAACL 2019 Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment Interspeech 2019 DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation CVPR 2019 Diagnosing Dysarthria with Long Short-Term Memory Networks Interspeech 2019 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019 Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks ICCV 2019 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NeurIPS 2019 Differentially Private Anonymized Histograms NeurIPS 2019 Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NeurIPS 2019 Differentially Private Bayesian Linear Regression NeurIPS 2019 Differentially Private Community Detection in Attributed Social Networks ACML 2019 Differentially Private Covariance Estimation NeurIPS 2019 Differentially Private Distributed Data Summarization under Covariate Shift NeurIPS 2019 Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ICML 2019 Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019 Differentially Private Fair Learning ICML 2019