- Reasoning about Consensus when Opinions Diffuse through Majority Dynamics
- Bayesian Optimization in High Dimensions via Random Embeddings
- From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying
- R-SVM+: Robust Learning with Privileged Information
- Flexibility and Decoupling in the Simple Temporal Problem
- A Degeneracy Framework for Graph Similarity
- SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks
- Commonsense Knowledge Aware Conversation Generation with Graph Attention
- Simple and Deterministic Matrix Sketching
- Fast Semidifferential-based Submodular Function Optimization
- HypTrails: A Bayesian Approach for Comparing Hypotheses About Human Trails on the Web
- Optimal and Adaptive Algorithms for Online Boosting
- Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search
- Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
- Dueling Network Architectures for Deep Reinforcement Learning
- Deep Residual Learning for Image Recognition
- Pixel Recurrent Neural Networks
- Social Networks Under Stress
- Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
- Global Neural CCG Parsing with Optimality Guarantees
- Densely Connected Convolutional Networks
- Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
- Recursive Decomposition for Nonconvex Optimization
- Learning from Simulated and Unsupervised Images through Adversarial Training
- Understanding Black-box Predictions via Influence Functions
- Mask R-CNN
- Probabilistic Typology: Deep Generative Models of Vowel Inventories
- A Linear-Time Kernel Goodness-of-Fit Test
- Accelerating Innovation Through Analogy Mining
- Causal Embeddings for Recommendation
- Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
- Depression and Self-Harm Risk Assessment in Online Forums
- Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
- Delayed Impact of Fair Machine Learning
- Linguistically-Informed Self-Attention for Semantic Role Labeling
- Taskonomy: Disentangling Task Transfer Learning
- What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games
- Adversarial Attacks on Neural Networks for Graph Data
- Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
- Finding Syntax in Human Encephalography with Beam Search
- How to Combine Tree-Search Methods in Reinforcement Learning
- Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms
- Boosting for Comparison-Based Learning
- Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection
- Rates of Convergence for Sparse Variational Gaussian Process Regression
- SinGAN: Learning a Generative Model from a Single Natural Image
- Bridging the Gap between Training and Inference for Neural Machine Translation
- Variance Reduction in Gradient Exploration for Online Learning to Rank
- Distribution-Independent PAC Learning of Halfspaces with Massart Noise
- AreWe Really Making Much Progress? AWorrying Analysis of Recent Neural Recommendation Approaches
- WINOGRANDE: An AdversarialWinograd Schema Challenge at Scale
- SpecializingWord Embeddings (for Parsing) by Information Bottleneck
- Hierarchical Finite State Controllers for Generalized Planning
- Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- The Power of Pivoting for Exact Clique Counting
- Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
- No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
- Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
- Language Models are Few-Shot Learners
- Controlling Fairness and Bias in Dynamic Learning-to-Rank
- FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
- Digital Voicing of Silent Speech
- Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
- Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking
- Network Density of States
- Error Analysis and the Role of Morphology
- Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation
- Scalable Hierarchical Multitask Learning Algorithms for Conversion Optimization in Display Advertising
- On Sampled Metrics for Item Recommendation
- Understanding Information Need: an fMRI Study
- Mitigating Political Bias in Language Models Through Reinforced Calibration
- HC-Search: Learning Heuristics and Cost Functions for Structured Prediction
- Bidirectional Search That Is Guaranteed to Meet in the Middle
- BitFunnel: Revisiting Signatures for Search
- Do People and Neural Nets Pay Attention to the SameWords? Studying Eye-tracking Data for Non-factoid QA Evaluation
- Relevance Estimation with Multiple Information Sources on Search Engine Result Pages
- Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases
- What Camera Motion Reveals About ShapeWith Unknown BRDF
- A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
- Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
- Modeling Biological Processes for Reading Comprehension
- Broad-coverage CCG Semantic Parsing with AMR
- Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
- Large-Scale Object Classi cation using Label Relation Graphs
- DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time
- Partitioned Elias-Fano Indexes
- Reducing the Sampling Complexity of Topic Models
- FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
- A Nearly-Linear Time Framework for Graph-Structured Sparsity
- From Large Scale Image Categorization to Entry-Level Categories
- Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
- Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach
- TensorCast: Forecasting with Context using Coupled Tensors
- Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
- Bayesian Active Learning for Posterior Estimation
- Foundations of Declarative Data Analysis Using Limit Datalog Programs
- Efficient Algorithms for Public-Private Social Networks
- Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera
- Deep Neural Decision Forests
- A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems
- No Country for Old Members: User Lifecycle and Linguistic Change in Online Communities
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- Scene Chronology
- Cross-Device Search
- Unsupervised Morphology Induction UsingWord Embeddings
- Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
- Learning to Compose Neural Networks for Question Answering
- Deep contextualized word representations
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
- Neural Ordinary Differential Equations
- Non-delusional Q-learning and Value Iteration
- Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
- A memory frontier for complex synapses
- Scalable Influence Estimation in Continuous-Time Diffusion Networks
- Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
- A Sampling
- Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
- Competitive Distribution Estimation: Why is Good-Turing Good
- Fast Convergence of Regularized Learning in Games
- Value Iteration Networks
- Safe and Nested Subgame Solving for Imperfect-Information Games
- Variance-based Regularization with Convex Objectives
- Efficient Estimation for High Similarities using Odd Sketches
- Outguard: Detecting In-Browser Covert Cryptocurrency Mining in the Wild
- Grounded Language Learning from Video Described with Sentences
- Fast and Robust Neural Network Joint Models for Statistical Machine Translation
- Learning Dynamic Feature Selection for Fast Sequential Prediction
- Improving Evaluation of Machine Translation Quality Estimation
- Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression
- Recovering from Selection Bias in Causal and Statistical Inference
- Optimized Interleaving for Online Retrieval Evaluation
- Local Item-Item Models for Top-N Recommendation
- Beyond Clicks: Dwell Time for Personalization
- Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
- QuickScorer: a fast algorithm to rank documents with additive ensembles of regression trees
- Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems
- Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
- Vanishing Component Analysis
- Beliefs and Biases in Web Search
- Inverting a Steady-State
- Beyond Ranking: Optimizing Whole-Page Presentation