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Found 6 papers, 0 papers with code
Critical Role of Simultaneous Reduction of Atmospheric Odd Oxygen for Winter Haze Mitigation
The lockdown due to COVID-19 created a rare opportunity to examine the nonlinear responses of secondary aerosols, which are formed through atmospheric oxidation of gaseous precursors, to intensive precursor emission reductions.
Interactive Inference under Information Constraints
We study the role of interactivity in distributed statistical inference under information constraints, e. g., communication constraints and local differential privacy.
Explaining Deep Neural Networks using Unsupervised Clustering
We propose a novel method to explain trained deep neural networks (DNNs), by distilling them into surrogate models using unsupervised clustering.
Target-based Sentiment Annotation in Chinese Financial News
Based on high quality annotation guideline and effective quality control strategy, a corpus with 8, 314 target-level sentiment annotation is constructed on 6, 336 paragraphs from Chinese financial news text.
Rate Distortion For Model Compression: From Theory To Practice
Theoretically, we prove that the proposed scheme is optimal for compressing one-hidden-layer ReLU neural networks.
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets
This paper presents a UIR-Miner system for emotion and sentiment analysis evaluation in Twitter in SemEval 2018.
