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The Most Good You Can Do: How Effective Altruism Is Changing Ideas About Living Ethically +
The NLP Engine: A Universal Turing Machine for NLP +
The Power of Ideals: The Real Story of Moral Choice +
The Second Intelligent Species: How Humans Will Become As Irrelevant As Cockroaches +
The Self-normalized Estimator for Counterfactual Learning +
The Unreasonable Effectiveness of Character-level Language Models (and Why RNNs Are Still Cool) +
The Unreasonable Effectiveness of Recurrent Neural Networks +
TimeCrunch: Interpretable Dynamic Graph Summarization +
TimeMachine: Timeline Generation for Knowledge-Base Entities +
Towards AI-complete Question Answering: A Set of Prerequisite Toy Tasks +
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media +
Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions +
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach +
Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models +
Training Very Deep Networks +
Transitive Transfer Learning +
Trust in Automation Integrating Empirical Evidence on Factors That Influence Trust +
Turn Waste Into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data +
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation +
Unifying Logic and Probability +
Unsupervised Feature Selection with Adaptive Structure Learning +
User Modeling in Telecommunications and Internet Industry +
Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms +
Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding +
VEWS: A Wikipedia Vandal Early Warning System +
Very Deep Convolutional Networks for Large-scale Image Recognition +
Virus Propagation in Multiple Profile Networks +
Warm Start for Parameter Selection of Linear Classifiers +
Website Optimization Problem and Its Solutions +
What About Statistical Relational Learning? +
What is Code? +
When Does the Future Begin? Time Metrics Matter, Connecting Present and Future Selves +
Whither Social Networks for Web Search? +
Who Supported Obama in 2012?: Ecological Inference through Distribution Regression +
Why Do People Buy Virtual Goods? Attitude Toward Virtual Good Purchases versus Game Enjoyment +
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events +
WikiQA: A Challenge Dataset for Open-Domain Question Answering +
Word Representations via Gaussian Embedding +
40 Years of Suffix Trees +
A Character-level Decoder Without Explicit Segmentation for Neural Machine Translation +
A Dataset for Joint Noun-Noun Compound Bracketing and Interpretation +
A Decomposable Attention Model for Natural Language Inference +
A Lightweight Methodology for Rapid Ontology Engineering +
A Neural Autoregressive Approach to Collaborative Filtering +
A Primer on Neural Network Models for Natural Language Processing +
A Review of Relational Machine Learning for Knowledge Graphs +
A Survey of Robotic Musicianship +
A Typology of Semantic Relations Dedicated to Scientific Literature Analysis +
Abstractive Text Summarization Using Sequence-to-sequence RNNs and Beyond +
Achieving Human Parity in Conversational Speech Recognition +
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models +
An Intelligent Interface for Learning Content: Combining An Open Learner Model and Social Comparison to Support Self-Regulated Learning and Engagement +
An Ontology-Driven Approach for Semantic Annotation of Documents with Specific Concepts +
An Overview of Partitioning Algorithms in Clustering Techniques +
Annual Budget 2016-2017 Adopted by the City Council, Cambridge, Massachusetts +
Answering End-User Questions, Queries and Searches on Wikipedia and Its History +
Artificial Intelligence and Life in 2030.” One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, +
Asynchronous Methods for Deep Reinforcement Learning +
Attention and Augmented Recurrent Neural Networks +
Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia +
Automatic Entity Recognition and Typing in Massive Text Data +
Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration +
Building End-to-end Dialogue Systems Using Generative Hierarchical Neural Network Models +
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks +
Character-Aware Neural Language Models +
Character-Aware Neural Language Models +
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems +
Composing Distributed Representations of Relational Patterns +
Convolutional Matrix Factorization for Document Context-Aware Recommendation +
Cross-lingual Wikification Using Multilingual Embeddings +
Customer Success: How Innovative Companies Are Reducing Churn and Growing Recurring Revenue +
DEFEXT: A Semi Supervised Definition Extraction Tool +
Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned +
Data Mining: Practical machine learning tools and techniques, Fourth Edition +
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding +
DeepFuzz: Triggering Vulnerabilities Deeply Hidden in Binaries +
Deep Learning +
Deep Neural Networks for Youtube Recommendations +
Deep Reinforcement Learning for Mention-Ranking Coreference Models +
Deep Reinforcement Learning from Self-play in Imperfect-information Games +
Deep Residual Learning for Image Recognition +
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images +
Designing AI Systems That Obey Our Laws and Values +
Dropout As a Bayesian Approximation: Representing Model Uncertainty in Deep Learning +
EIE: Efficient Inference Engine on Compressed Deep Neural Network +
Efficient Generalized Inverse for Solving Simultaneous Linear Equations +
Embeddings for Word Sense Disambiguation: An Evaluation Study +
Embracing Data Abundance: BookTest Dataset for Reading Comprehension +
End-to-end LSTM-based Dialog Control Optimized with Supervised and Reinforcement Learning +
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF +
Enhanced Cooperative Multi-agent Learning Algorithms (ECMLA) Using Reinforcement Learning +
Enriching Product Ads with Metadata from HTML Annotations +
Exponential Laws of Computing Growth +
Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence +
fastFM: A Library for Factorization Machines +
Feature Selection: {A} Data Perspective +
Field-aware Factorization Machines for CTR Prediction +
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution +
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction +
Gated Graph Sequence Neural Networks +