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Early Detection and Forecasting of Research Trends +
Economic Reasoning and Artificial Intelligence +
Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier +
Effective Approaches to Attention-based Neural Machine Translation +
Efficient Algorithms for Public-Private Social Networks +
Efficient Latent Link Recommendation in Signed Networks +
Efficient Online Evaluation of Big Data Stream Classifiers +
Efficient PageRank Tracking in Evolving Networks +
Eigenwords: Spectral Word Embeddings +
Embedding a Semantic Network in AWord Space +
Embrace a Robotâhuman World +
End-to-end Memory Networks +
Entity-centric Coreference Resolution with Model Stacking +
Entity Matching Across Heterogeneous Sources +
Equality Bias Impairs Collective Decision-making Across Cultures +
{Equivalence of Generic Glatiramer Acetate in Multiple Sclerosis: A Randomized Clinical Trial} +
Estimating Local Intrinsic Dimensionality +
Estimating the Causal Impact of Recommendation Systems from Observational Data +
Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont +
Exploiting Relevance Feedback in Knowledge Graph Search +
Extreme States Distribution Decomposition Method for Search Engine Online Evaluation +
Facets: Fast Comprehensive Mining of Coevolving High-order Time Series +
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation +
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing +
Fast and Robust Parallel SGD Matrix Factorization +
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation +
Flexible and Robust Multi-Network Clustering +
Focusing on the Long-term: It's Good for Users and Business +
From Group to Individual Labels Using Deep Features +
From Light to Rich ERE: Annotation of Entities, Relations, and Events +
From Word Embeddings to Document Distances +
Future User Engagement Prediction and Its Application to Improve the Sensitivity of Online Experiments +
G Ra M: Scaling Graph Computation to the Trillions +
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation +
Going Deeper With Convolutions +
Going Deeper with Convolutions +
Grammar As a Foreign Language +
Graph Query Reformulation with Diversity +
Grapheme-to-phoneme Conversion Using Long Short-term Memory Recurrent Neural Networks +
Hadoop's Impact on the Future of Data Management +
Heterogeneous Network Embedding via Deep Architectures +
Hidden Technical Debt in Machine Learning Systems +
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data +
Hinge-loss Markov Random Fields and Probabilistic Soft Logic +
Hoax-detecting Software Spots Fake Papers +
How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study +
Human-level Control through Deep Reinforcement Learning +
ImageNet Large Scale Visual Recognition Challenge +
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection +
Improved Semantic Representations from Tree-structured Long Short-term Memory Networks +
Improving Distributional Similarity with Lessons Learned from Word Embeddings +
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks +
Incremental Knowledge Base Construction Using DeepDive +
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data +
Inferring Networks of Substitutable and Complementary Products +
Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration +
Influence at Scale: Distributed Computation of Complex Contagion in Networks +
Inside Jokes: Identifying Humorous Cartoon Captions +
Instance Weighting for Patient-Specific Risk Stratification Models +
Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis +
Intelligent Code Completion with Bayesian Networks +
Is a Cambrian Explosion Coming for Robotics? +
Jobless Recoveries +
Joint Learning of Character and Word Embeddings +
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management +
Large-Scale Distributed Bayesian Matrix Factorization Using Stochastic Gradient MCMC +
Learning Tree Structure in Multi-Task Learning +
Learning to Transduce with Unbounded Memory +
Learning with Similarity Functions on Graphs Using Matchings of Geometric Embeddings +
Leveraging Social Context for Modeling Topic Evolution +
Linear Time Samplers for Supervised Topic Models Using Compositional Proposals +
Locally Densest Subgraph Discovery +
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction +
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams +
Machine Learning: Trends, Perspectives, and Prospects +
Matrix Completion with Queries +
Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints +
Metric Learning +
Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages +
Mining Latent Entity Structures +
Mining Quality Phrases from Massive Text Corpora +
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network +
Misbehaving: The Making of Behavioral Economics +
Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning +
Modeling Truth Existence in Truth Discovery +
Modeling User Mobility for Location Promotion in Location-based Social Networks +
Monitoring Least Squares Models of Distributed Streams +
More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data +
Morphological Analysis for Unsegmented Languages Using Recurrent Neural Network Language Model +
Multi-Task Learning for Spatio-Temporal Event Forecasting +
NASARI: A Novel Approach to a Semantically-Aware Representation of Items +
NEXT: A System for Real-world Development, Evaluation, and Application of Active Learning +
Natural Language Translation at the Intersection of AI and HCI +
Network Lasso: Clustering and Optimization in Large Graphs +
Neural Machine Translation by Jointly Learning to Align and Translate +
Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming +
Non-transitive Hashing with Latent Similarity Components +
OLiA--Ontologies of Linguistic Annotation +
On Estimating the Swapping Rate for Categorical Data +
On Markov Decision Processes +