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Causal Hidden Markov Model for Time Series Disease Forecasting
We propose a causal hidden Markov model to achieve robust prediction of ...
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Dilated SpineNet for Semantic Segmentation
Scale-permuted networks have shown promising results on object bounding ...
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RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
Many emerging cyber-physical systems, such as autonomous vehicles and ro...
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Disease Forecast via Progression Learning
Forecasting Parapapillary atrophy (PPA), i.e., a symptom related to most...
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Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Recently, heatmap regression has been widely explored in facial landmark...
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Close Latency–Security Trade-off for the Nakamoto Consensus
Bitcoin is a peer-to-peer electronic cash system invented by Nakamoto in...
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Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Social media produces large amounts of contents every day. To help users...
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Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
The development of rigorous quality assessment model relies on the colle...
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Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Mammogram benign or malignant classification with only image-level label...
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Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
A growing specter in the rise of machine learning is whether the decisio...
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Fairness Constraints in Semi-supervised Learning
Fairness in machine learning has received considerable attention. Howeve...
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LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
In this paper, we present a Large-Scale and high-diversity general Therm...
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A Resource Allocation and Coordinated Transmission Scheme for Large Cellular Networks
With the increasing number of user equipment (UE) and data demands, dens...
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High-order numerical methods for the Riesz space fractional advection-dispersion equations
In this paper, we propose high-order numerical methods for the Riesz spa...
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Secure Metric Learning via Differential Pairwise Privacy
Distance Metric Learning (DML) has drawn much attention over the last tw...
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UFTR: A Unified Framework for Ticket Routing
Corporations today face increasing demands for the timely and effective ...
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GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling
In the big data era, data labeling can be obtained through crowdsourcing...
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What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
In our world with full of uncertainty, debates and argumentation contrib...
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Deep Learning for Highly Accelerated Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) is widely used to examine the human brain...
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Continuous-Time Analysis of the Bitcoin and Prism Backbone Protocols
Bitcoin is a peer-to-peer payment system proposed by Nakamoto in 2008. B...
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Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Active Object Tracking (AOT) is crucial to many visionbased applications...
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Model reduction for a power grid model
We apply model reduction techniques to the DeMarco power grid model. The...
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TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Neural network compression methods have enabled deploying large models o...
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Interleaved Composite Quantization for High-Dimensional Similarity Search
Similarity search retrieves the nearest neighbors of a query vector from...
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Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
Existing deep learning methods for action recognition in videos require ...
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Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
This paper considers the problem of resource allocation in stream proces...
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A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Deep neural networks are vulnerable to adversarial attacks....
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Discrete Argument Representation Learning for Interactive Argument Pair Identification
In this paper, we focus on extracting interactive argument pairs from tw...
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Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition
Recently, infrared human action recognition has attracted increasing att...
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Global Temporal Representation based CNNs for Infrared Action Recognition
Infrared human action recognition has many advantages, i.e., it is insen...
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Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Recently, there has been growing interest in developing learning-based m...
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Gaussian Process Regression and Conditional Polynomial Chaos for Parameter Estimation
We present a new approach for constructing a data-driven surrogate model...
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On Analysis of the Bitcoin and Prism Backbone Protocols
Bitcoin is a peer-to-peer payment system proposed by Nakamoto in 2008. P...
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Intrinsic Weight Learning Approach for Multi-view Clustering
Exploiting different representations, or views, of the same object for b...
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Topic-Aware Neural Keyphrase Generation for Social Media Language
A huge volume of user-generated content is daily produced on social medi...
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Joint Effects of Context and User History for Predicting Online Conversation Re-entries
As the online world continues its exponential growth, interpersonal comm...
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Multimodal Transformer with Multi-View Visual Representation for Image Captioning
Image captioning aims to automatically generate a natural language descr...
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Microblog Hashtag Generation via Encoding Conversation Contexts
Automatic hashtag annotation plays an important role in content understa...
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Reducing BERT Pre-Training Time from 3 Days to 76 Minutes
Large-batch training is key to speeding up deep neural network training ...
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SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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Quality Assessment of Free-viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories
Virtual viewpoints synthesis is an essential process for many immersive ...
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GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views
In this paper, we proposed a no-reference (NR) quality metric for RGB pl...
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What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
This paper presents an unsupervised framework for jointly modeling topic...
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DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
In recent years, with the prevalence of social media and smart devices, ...
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A Survey on Deep Learning for Named Entity Recognition
Named entity recognition (NER) is the task to identify text spans that m...
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Evaluating Row Buffer Locality in Future Non-Volatile Main Memories
DRAM-based main memories have read operations that destroy the read data...
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When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method
In this work, we propose a framework that combines the approximation-the...
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RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
Recurrent neural networks for session-based recommendation have attracte...
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A Low-latency Secure Data Outsourcing Scheme for Cloud-WSN
With the support of cloud computing, large quantities of data collected ...
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An Efficient Encryption Scheme with Verifiable Outsourced Decryption in Mobile Cloud Computing
With the increasing number of mobile applications and the popularity of ...
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