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Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment
In this paper, we outline a way to deploy a privacy-preserving protocol ...
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A First Look at Human Values-Violation in App Reviews
Ubiquitous technologies such as mobile software applications (mobile app...
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Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Reinforcement learning (RL) has shown great promise in optimizing long-t...
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DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
Many hardware vendors have introduced specialized deep neural networks (...
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Learnability and Complexity of Quantum Samples
Given a quantum circuit, a quantum computer can sample the output distri...
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Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics
Including prior knowledge is important for effective machine learning mo...
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Explainable Recommender Systems via Resolving Learning Representations
Recommender systems play a fundamental role in web applications in filte...
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Defending Adversarial Examples via DNN Bottleneck Reinforcement
This paper presents a DNN bottleneck reinforcement scheme to alleviate t...
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Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair
A large body of the literature of automated program repair develops appr...
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Anchor: Locating Android Framework-specific Crashing Faults
Android framework-specific app crashes are hard to debug. Indeed, the ca...
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Decomposition of the Total Effect for Two Mediators: A Natural Counterfactual Interaction Effect Framework
Mediation analysis has been used in many disciplines to explain the mech...
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Active Crowd Counting with Limited Supervision
To learn a reliable people counter from crowd images, head center annota...
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Scaling Symbolic Methods using Gradients for Neural Model Explanation
Symbolic techniques based on Satisfiability Modulo Theory (SMT) solvers ...
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A New Modal Autoencoder for Functionally Independent Feature Extraction
Autoencoders have been widely used for dimensional reduction and feature...
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Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application
The fast-growing smart applications on mobile devices leverage pre-train...
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Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics
Device fingerprints like sensor pattern noise (SPN) are widely used for ...
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Incorporating Multiple Cluster Centers for Multi-Label Learning
Multi-label learning deals with the problem that each instance is associ...
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Decomposition of Total Effect with the Notion of Natural Counterfactual Interaction Effect
Mediation analysis serves as a crucial tool to obtain causal inference b...
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Vanishing Point Guided Natural Image Stitching
Recently, works on improving the naturalness of stitching images gain mo...
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A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective
We consider the problem of intelligent and efficient resource management...
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OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks
In recent years, a large number of smart devices will be connected in In...
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MadDroid: Characterising and Detecting Devious Ad Content for Android Apps
Advertisement drives the economy of the mobile app ecosystem. As a key c...
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Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
With the explosive growth of online products and content, recommendation...
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Learning to Catch Security Patches
Timely patching is paramount to safeguard users and maintainers against ...
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Node-charge graph-based online carshare rebalancing with capacitated electric charging
Viability of electric car-sharing operations depends on rebalancing algo...
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A Bi-Level Cooperative Driving Strategy Allowing Lane Changes
This paper studies the cooperative driving of connected and automated ve...
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Causal inference of hazard ratio based on propensity score matching
Propensity score matching is commonly used to draw causal inference from...
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Video-based compression for plenoptic point clouds
The plenoptic point cloud that has multiple colors from various directio...
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Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations
Although response generation (RG) diversification for single-turn dialog...
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An Improved Historical Embedding without Alignment
Many words have evolved in meaning as a result of cultural and social ch...
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Do Energy-oriented Changes Hinder Maintainability?
Energy efficiency is a crucial quality requirement for mobile applicatio...
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Click-Through Rate Prediction with the User Memory Network
Click-through rate (CTR) prediction is a critical task in online adverti...
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Cooperative Lane Changing via Deep Reinforcement Learning
In this paper, we study how to learn an appropriate lane changing strate...
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Better Code, Better Sharing:On the Need of Analyzing Jupyter Notebooks
By bringing together code, text, and examples, Jupyter notebooks have be...
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Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task in online adverti...
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A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles
Non-signalized intersection is a typical and common scenario for connect...
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Decoding Molecular Graph Embeddings with Reinforcement Learning
We present RL-VAE, a graph-to-graph variational autoencoder that uses re...
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Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving
This paper proposes a cooperative lane changing strategy using a transfe...
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Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling
Machine learning, especially deep neural networks, has been rapidly deve...
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A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning
Real-time motion planning is a vital function of robotic systems. Differ...
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Sip4J: Statically inferring permission-based specifications for sequential Java programs
In mainstream programming languages such as Java, a common way to enable...
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Occupancy-map-based rate distortion optimization for video-based point cloud compression
The state-of-the-art video-based point cloud compression scheme projects...
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Cooperative Driving at Unsignalized Intersections Using Tree Search
In this paper, we propose a new cooperative driving strategy for connect...
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Neural-Guided Symbolic Regression with Semantic Prior
Symbolic regression has been shown to be quite useful in many domains fr...
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Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier
This paper proposes an alternative algorithm for multichannel variationa...
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Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark
Repackaging is a serious threat to the Android ecosystem as it deprives ...
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An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms
Deep learning (DL) has recently achieved tremendous success in a variety...
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Optimization of Molecules via Deep Reinforcement Learning
We present a framework, which we call Molecule Deep Q-Networks (MolDQN),...
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Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation
This paper deals with a multichannel audio source separation problem und...
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Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets
China is one of the largest Android markets in the world. As Chinese use...
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