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“Go eat a bat, Chang!”: On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19 |
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“Is it a Qoincidence?”: An Exploratory Study of QAnon on Voat |
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“Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups |
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#Twiti: Social Listening for Threat Intelligence |
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A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles |
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A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising |
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A Linguistic Study on Relevance Modeling in Information Retrieval |
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A Longitudinal Study of Removed Apps in iOS App Store |
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A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation |
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A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps |
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A Recommender System for Crowdsourcing Food Rescue Platforms |
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A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning |
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A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning |
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A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction |
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A Workflow Analysis of Context-driven Conversational Recommendation |
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Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection |
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Advanced Semantics for Commonsense Knowledge Extraction |
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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation |
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Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start |
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AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings |
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An Adversarial Imitation Click Model for Information Retrieval |
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An Adversarial Transfer Network for Knowledge Representation Learning |
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An Alternative Cross Entropy Loss for Learning-to-Rank |
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An Empirical Study of Real-World WebAssembly Binaries — Security, Languages, Use Cases |
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An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages |
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An Investigation of Identity-Account Inconsistency in Single Sign-On |
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Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 US Midterm Elections |
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ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases |
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Attent: Active Attributed Network Alignment |
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Auction Design for ROI-Constrained Buyers |
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Auditing for Discrimination in Algorithms Delivering Job Ads |
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Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning |
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AutoDim: Field-aware Embedding Dimension Search in Recommender Systems |
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Automated Creative Optimization for E-Commerce Advertising |
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Automatic Intent-Slot Induction for Dialogue Systems |
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AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graphs |
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BBR Bufferbloat in DASH Video |
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Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases |
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Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network |
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Bid Prediction in Repeated Auctions with Learning |
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Bidirectional Distillation for Top-K Recommender System |
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Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus |
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Boosting the Speed of Entity Alignment 10×: Dual Attention Matching Network with Normalized Hard Sample Mining |
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Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications |
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BRIGHT: A Bridging Algorithm for Network Alignment |
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BrowseLite: A Private Data Saving Solution for the Web |
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Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests |
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Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data |
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Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China |
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CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining |
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ColChain: Collaborative Linked Data Networks |
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Collaborative Filtering with Preferences Inferred from Brain Signals |
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Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics |
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Community Value Prediction in Social E-commerce |
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Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations |
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Computing Views of OWL Ontologies for the Semantic Web |
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ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks |
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ConceptGuide: Supporting Online Video Learning with Concept Map-based Recommendation of Learning Path |
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Consistent Sampling Through Extremal Process |
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Constructing a Comparison-based Click Model for Web Search |
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Constructing Explainable Opinion Graphs from Reviews |
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Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary |
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Controllable and Diverse Text Generation in E-commerce |
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Controllable Gradient Item Retrieval |
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Controlling the Risk of Conversational Search via Reinforcement Learning |
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Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations |
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Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels |
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Cookie Swap Party: Abusing First-Party Cookies for Web Tracking |
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CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing |
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CoResident Evil: Covert Communication In The Cloud With Lambdas |
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Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning |
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Cross-domain Knowledge Distillation for Retrieval-basedQuestion Answering Systems |
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Cross-lingual Language Model Pretraining for Retrieval |
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Cross-Positional Attention for Debiasing Clicks |
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Crosslingual Topic Modeling with WikiPDA |
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CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations |
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CurGraph: Curriculum Learning for Graph Classification |
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Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources |
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DAPter: Preventing User Data Abuse in Deep Learning Inference Services |
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Data Poisoning Attacks and Defenses to Crowdsourcing Systems |
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DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems |
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Debiasing Career Recommendations with Neural Fair Collaborative Filtering |
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Deep Co-Attention Network for Multi-View Subspace Learning |
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Deepfake Videos in the Wild: Analysis and Detection |
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DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities |
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DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce |
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DeepVista: 16K Panoramic Cinema on Your Mobile Device |
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Demystifying Illegal Mobile Gambling Apps |
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Density-Ratio Based Personalised Ranking from Implicit Feedback |
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Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges |
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DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior |
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DGCN: Diversified Recommendation with Graph Convolutional Networks |
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Dialect Diversity in Text Summarization on Twitter |
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DISCOS: Bridging the Gap between Discourse Knowledge andCommonsense Knowledge |
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Disentangling User Interest and Conformity for Recommendation with Causal Embedding |
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Dissecting Performance of Production QUIC |
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DistCare: Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis |
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Diverse and Specific Clarification Question Generation with Keywords |
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Diversification-Aware Learning to Rank using Distributed Representation |
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Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective |
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Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond |
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Drug Package Recommendation via Interaction-aware Graph Induction |
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Dual Side Deep Context-aware Modulation for Social Recommendation |
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DYMOND: DYnamic MOtif-NoDes Network Generative Model |
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Dynamic Embeddings for Interaction Prediction |
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ECLARE: Extreme Classification with Label Graph Correlations |
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Effective and Scalable Clustering on Massive Attributed Graphs |
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Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks |
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Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration |
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Efficient Non-Sampling Knowledge Graph Embedding |
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Efficient Probabilistic Truss Indexing on Uncertain Graphs |
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Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set |
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ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models |
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Elo-MMR: A Rating System for Massive Multiplayer Competitions |
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Enquire One’s Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion |
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Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network |
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Estimation of Fair Ranking Metrics with Incomplete Judgments |
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Evaluating the Rationales of Amateur Investors |
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Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading |
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Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework |
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Extracting Contextualized Quantity Facts from Web Tables |
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Fair and Representative Subset Selection from Data Streams |
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Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding |
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Fairness Aware PageRank |
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FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis |
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Fast Evaluation for Relevant Quantities of Opinion Dynamics |
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FedPS: A Privacy Protection Enhanced Personalized Search Framework |
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Few-Shot Graph Learning for Molecular Property Prediction |
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Few-Shot Knowledge Validation using Rules |
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Few-shot Network Anomaly Detection via Cross-network Meta-learning |
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Fine-Grained Urban Flow Prediction |
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FINN: Feedback Interactive Neural Network for Intent Recommendation |
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FM2: Field-matrixed Factorization Machines for Recommender Systems |
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From Personal Data to Digital Legacy: Exploring Conflicts in the Sharing, Security and Privacy of Post-mortem Data |
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Future-Aware Diverse Trends Framework for Recommendation |
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GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification |
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Generalizing Discriminative Retrieval Models using Generative Tasks |
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Generating Accurate Caption Units for Figure Captioning |
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GNEM: A Generic One-to-Set Neural Entity Matching Framework |
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Graph Contrastive Learning with Adaptive Augmentation |
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Graph Embedding for Recommendation against Attribute Inference Attacks |
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Graph Neural Networks for Friend Ranking in Large-scale Social Platforms |
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Graph Structure Estimation Neural Networks |
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Graph Topic Neural Network for Document Representation |
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Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval |
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GuideBoot: Guided Bootstrap for Deep Contextual Bandits in Online Advertising |
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Hashing-Accelerated Graph Neural Networks for Link Prediction |
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Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13 |
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HDMI: High-order Deep Multiplex Infomax |
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Heterogeneous Graph Neural Network via Attribute Completion |
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HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering |
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Hierarchical Personalized Federated Learning for User Modeling |
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High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding |
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High-dimensional Sparse Embeddings for Collaborative Filtering |
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Highly Liquid Temporal Interaction Graph Embeddings |
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HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding |
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How Do Hyperedges Overlap in Real-World Hypergraphs? – Patterns, Measures, and Generators |
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IFSpard: An Information Fusion-based Framework for Spam Review Detection |
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Improving Cyberbullying Detection with User Interaction |
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Improving Graph Neural Networks with Structural Adaptive Receptive Fields |
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Improving Neural Question Generation using Deep Linguistic Representation |
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Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction |
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Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching |
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Incrementality Testing in Programmatic Advertising: Enhanced Precision with Double-Blind Designs |
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Inductive Entity Representations from Text via Link Prediction |
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Information Elicitation from Rowdy Crowds |
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Information Extraction From Co-Occurring Similar Entities |
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Insightful Dimensionality Reduction with Very Low Rank Variable Subsets |
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Integrating Floor Plans into Hedonic Models for Rent Price Appraisal |
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Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning |
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Interest-aware Message-Passing GCN for Recommendation |
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Interpreting and Unifying Graph Neural Networks with An Optimization Framework |
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Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial |
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It’s Not Just the Site, It’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts |
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Itinerary-aware Personalized Deep Matching at Fliggy |
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Joint Spatio-Textual Reasoning for Answering Tourism Questions |
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Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries |
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Knowledge Embedding Based Graph Convolutional Network |
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Knowledge-Aware Procedural Text Understanding with Multi-Stage Training |
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Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs |
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Large-scale Comb-K Recommendation |
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Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective |
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LChecker: Detecting Loose Comparison Bugs in PHP |
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Learning a Product Relevance Model from Click-Through Data in E-Commerce |
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Learning Dynamic User Behavior Based on Error-driven Event Representation |
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Learning Fair Representations for Recommendation: A Graph-based Perspective |
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Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring |
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Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation |
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Learning Intents behind Interactions with Knowledge Graph for Recommendation |
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Learning Neural Point Processes with Latent Graphs |
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Leveraging Review Properties for Effective Recommendation |
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Leveraging User Behavior History for Personalized Email Search |
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Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation |
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Linguistically-Enriched and Context-Aware Zero-shot Slot Filling |
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Local Clustering in Contextual Multi-Armed Bandits |
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Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction |
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Lorentzian Graph Convolutional Networks |
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Mask-GVAE: Blind Denoising Graphs via Partition |
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Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning |
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MATCH: Metadata-Aware Text Classification in A Large Hierarchy |
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Maximizing Marginal Fairness for Dynamic Learning to Rank |
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MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths |
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Meta-HAR: Federated Representation Learning for Human Activity Recognition |
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MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments |
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Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks |
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Mining Dual Emotion for Fake News Detection |
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MIRA:Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks |
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Mitigating Gender Bias in Captioning Systems |
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Mixed-Curvature Multi-Relational Graph Neural Network forKnowledge Graph Completion |
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Mixup for Node and Graph Classification |
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Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking |
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Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes |
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Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks |
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Motif-Preserving Dynamic Attributed Network Embedding |
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MQuadE: a Unified Model for Knowledge Fact Embedding |
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MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams |
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MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings |
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Multi-domain Dialogue State Tracking with Recursive Inference |
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Multi-level Connection Enhanced Representation Learning for Script Event Prediction |
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Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks |
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Multi-Session Diversity to Improve User Satisfaction in Web Applications |
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Multi-view Graph Contrastive Representation Learning forDrug-Drug Interaction Prediction |
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Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages |
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Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks |
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Network of Tensor Time Series |
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Neural Collaborative Reasoning |
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NeuroPose: 3D Hand Pose Tracking using EMG Wearables |
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Nonlinear Higher-Order Label Spreading |
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Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy |
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NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms |
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OCT-GAN: Neural ODE-based Conditional Tabular GANs |
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On the Equivalence of Decoupled Graph Convolution Network and Label Propagation |
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On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution |
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On the Value of Wikipedia as a Gateway to the Web |
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One Detector to Rule Them All |
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Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks |
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Online Label Aggregation: A Variational Bayesian Approach |
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Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance |
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OntoZSL: Ontology-enhanced Zero-shot Learning |
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Outlier-Resilient Web Service QoS Prediction |
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PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer |
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PARIMA: Viewport Adaptive 360-Degree Video Streaming |
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Partial-Softmax Loss based Deep Hashing |
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Pathfinder Discovery Networks for Neural Message Passing |
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Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process |
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Personalized Approximate Pareto-Efficient Recommendation |
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Personalized Treatment Selection using Causal Heterogeneity |
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PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization |
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Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection |
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Pivot-based Candidate Retrieval for Cross-lingual Entity Linking |
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Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks |
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Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset |
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Progressive, Holistic Geospatial Interlinking |
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Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering |
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Quiz-Style Question Generation for News Stories |
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Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests |
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Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series |
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Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis |
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Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks |
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ReACt: A Resource-centric Access Control System for Web-app Interactions on Android |
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RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network |
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Reinforcement Recommendation with User Multi-aspect Preference |
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REST: Reciprocal Framework for Spatiotemporal-coupled Predictions |
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REST: Relational Event-driven Stock Trend Forecasting |
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RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs |
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RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation |
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Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction |
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RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks |
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Robust Android Malware Detection against Adversarial Example Attacks |
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Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank |
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Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination |
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Role-Aware Modeling for N-ary Relational Knowledge Bases |
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Rumor Detection with Field of Linear and Non-Linear Propagation |
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Scalable Auto-weighted Discrete Multi-view Clustering |
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SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs |
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Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice |
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Searching to Sparsify Tensor Decomposition for N-ary Relational Data |
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Security of Alerting Authorities in the WWW: Measuring Namespaces, DNSSEC, and Web PKI |
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Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs |
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Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks |
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Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation |
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Semi-Open Information Extraction |
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SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization |
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Separ: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees |
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Session-aware Linear Item-Item Models for Session-based Recommendation |
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Sinkhorn Collaborative Filtering |
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Situation and Behavior Understanding by Trope Detection on Films |
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Sketch-based Algorithms for Approximate Shortest Paths in Road Networks |
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Slot Self-Attentive Dialogue State Tracking |
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Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks |
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SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series |
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STAN: Spatio-Temporal Attention Network for Next Location Recommendation |
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Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling |
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Stochastic bandits for multi-platform budget optimization in online advertising |
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Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning |
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Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion |
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STruD: Truss Decomposition of Simplicial Complexes |
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STUaNet: Understanding uncertainty in spatiotemporal collective human mobility |
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SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism |
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Superways: A Datacenter Topology for Incast-heavy workloads |
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Surrounded by the Clouds |
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Target-adaptive Graph for Cross-target Stance Detection |
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Task-adaptive Neural Process for User Cold-Start Recommendation |
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Taxonomy-aware Learning for Few-Shot Event Detection |
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TCN: Table Convolutional Network for Web Table Interpretation |
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TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks |
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Temporal Analysis of the Entire Ethereum Blockchain Network |
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TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search |
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TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints |
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The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms |
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The Structure of Toxic Conversations on Twitter |
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The Surprising Performance of Simple Baselines for Misinformation Detection |
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Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels |
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Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding |
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TLS 1.3 in Practice: How TLS 1.3 Contributes to the Internet |
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Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation |
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Touch Screen Exploration of Visual Artwork for Blind People |
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Towards a Better Understanding of Query Reformulation Behavior in Web Search |
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Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning |
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Towards Content Provider Aware Recommender Systems — A Simulation Study on the Interplay between User and Provider Utilities |
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Towards Efficient Auctions in an Auto-bidding World |
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Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach |
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Towards Realistic and Reproducible Web Crawl Measurements |
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Towards Understanding and Demystifying Bitcoin Mixing Services |
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Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX |
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Trav-SHACL: Efficiently Validating Networks of SHACLConstraints |
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Twin Peaks, a Model for Recurring Cascades |
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Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out |
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Understanding the Complexity of Detecting Political Ads |
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Understanding the Impact of Encrypted DNS on Internet Censorship |
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Understanding User Sensemaking in Machine Learning Fairness Assessment Systems |
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Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision |
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UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data |
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Unsupervised Lifelong Learning with Curricula |
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Unsupervised Multi-Index Semantic Hashing |
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Unsupervised Semantic Association Learning with Latent Label Inference |
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User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users |
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User-oriented Fairness in Recommendation |
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UserSim: User Simulation via Supervised Generative Adversarial Network |
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Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks |
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Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective |
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Variation Control and Evaluation for Generative Slate Recommendations |
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Verdi: Quality Estimation and Error Detection for Bilingual Corpora |
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Wait, Let’s Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases |
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War of Words II: Enriched Models of Law-Making Processes |
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Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates |
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WebSocket Adoption and the Landscape of the Real-Time Web |
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Whale Watching in Inland Indonesia: Analyzing a Small,Remote, Internet-Based Community Cellular Network |
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What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis |
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Where are you taking me? Understanding Abusive Traffic Distribution Systems |
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Where To Next? A Dynamic Model of User Preferences |
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Wiki2Prop: A Multimodal Approach for Predicting Wikidata Properties from Wikipedia |
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WiseKG: Balanced Access to Web Knowledge Graphs |
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WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service |
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XY-Sketch: on Sketching Data Streams at Web Scale |
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