andersonbcdefg/st_specter_train_triples huggingface dataset:
Paper: Distributed Data Clustering in Peer -to-Peer Networks: A Technical Review
Related paper: Data Mining: Concepts and Techniques
Unrelated paper: DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis
Paper: How Nervous Systems Evolve in Relation to Their Embodiment: What We Can Learn from Octopuses and Other Molluscs
Related paper: An octopus-bioinspired solution to movement and manipulation for soft robots.
Unrelated paper: Self-organization, embodiment, and biologically inspired robotics
Paper: How Nervous Systems Evolve in Relation to Their Embodiment: What We Can Learn from Octopuses and Other Molluscs
Related paper: An octopus-bioinspired solution to movement and manipulation for soft robots.
Unrelated paper: Improved ensemble learning for classification techniques based on majority voting
Paper: How Nervous Systems Evolve in Relation to Their Embodiment: What We Can Learn from Octopuses and Other Molluscs
Related paper: An octopus-bioinspired solution to movement and manipulation for soft robots.
Unrelated paper: The development of arithmetical abilities
Paper: How Nervous Systems Evolve in Relation to Their Embodiment: What We Can Learn from Octopuses and Other Molluscs
Related paper: An octopus-bioinspired solution to movement and manipulation for soft robots.
Unrelated paper: Make it our time: In class multitaskers have lower academic performance
Paper: How Nervous Systems Evolve in Relation to Their Embodiment: What We Can Learn from Octopuses and Other Molluscs
Related paper: An octopus-bioinspired solution to movement and manipulation for soft robots.
Unrelated paper: Query Adaptive Multiview Object Instance Search and Localization Using Sketches
Paper: Semantic video segmentation: Exploring inference efficiency
Related paper: Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
Unrelated paper: Robust Real-Time Face Detection
Paper: Semantic video segmentation: Exploring inference efficiency
Related paper: Conditional Random Fields as Recurrent Neural Networks
Unrelated paper: BigSparse: High-performance external graph analytics
Paper: Semantic video segmentation: Exploring inference efficiency
Related paper: semantic object classes in video : a high - definition ground truth database .
Unrelated paper: Relational quality and media use in interpersonal relationships
Paper: Semantic video segmentation: Exploring inference efficiency
Related paper: semantic object classes in video : a high - definition ground truth database .
Unrelated paper: The influence of access to eReaders, computers and mobile phones on children's book reading frequency
Paper: Semantic video segmentation: Exploring inference efficiency
Related paper: TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
Unrelated paper: Bladder Exstrophy-Epispadias Complex
Paper: Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents
Related paper: An object-oriented representation for efficient reinforcement learning
Unrelated paper: Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
Paper: Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents
Related paper: An object-oriented representation for efficient reinforcement learning
Unrelated paper: Deep Graph Translation
Paper: Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Surgical Anatomy of the Face Implications for Modern Face-lift Techniques
Paper: Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents
Related paper: An object-oriented representation for efficient reinforcement learning
Unrelated paper: Artificial Neural Networks: A Tutorial
Paper: Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Using Online Conversations to Study Word-of-Mouth Communication
Paper: Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems
Related paper: A three-network architecture for on-line learning and optimization based on adaptive dynamic programming
Unrelated paper: Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming
Paper: Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Mobile Telemedicine: A Survey Study
Paper: Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems
Related paper: A three-network architecture for on-line learning and optimization based on adaptive dynamic programming
Unrelated paper: Assembly, structure, function and regulation of type III secretion systems
Paper: Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: A Review on Image Classification Approaches and Techniques
Paper: Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Intent-Aware Multi-Agent Reinforcement Learning
Paper: How Do Mobile ICTs Enable Organizational Fluidity: Toward a Theoretical Framework
Related paper: The Nature of Theory in Information Systems
Unrelated paper: A Theory of Theories in Information Systems
Paper: How Do Mobile ICTs Enable Organizational Fluidity: Toward a Theoretical Framework
Related paper: The Nature of Theory in Information Systems
Unrelated paper: Make E-Learning Effortless! Impact of a Redesigned User Interface on Usability through the Application of an Affordance Design Approach
Paper: How Do Mobile ICTs Enable Organizational Fluidity: Toward a Theoretical Framework
Related paper: The Nature of Theory in Information Systems
Unrelated paper: PhishGuru: A System for Educating Users about Semantic Attacks
Paper: How Do Mobile ICTs Enable Organizational Fluidity: Toward a Theoretical Framework
Related paper: The Nature of Theory in Information Systems
Unrelated paper: Do plant mites commonly prefer the underside of leaves?
Paper: How Do Mobile ICTs Enable Organizational Fluidity: Toward a Theoretical Framework
Related paper: The Nature of Theory in Information Systems
Unrelated paper: Prediction of inverse kinematics of a 5-DOF pioneer robotic arm having 6-DOF end-effector using ANFIS
Paper: CNN Feature boosted SeqSLAM for Real-Time Loop Closure Detection
Related paper: Convolutional neural network-based image representation for visual loop closure detection
Unrelated paper: Persistent Navigation and Mapping using a Biologically Inspired SLAM System
Paper: CNN Feature boosted SeqSLAM for Real-Time Loop Closure Detection
Related paper: SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights
Unrelated paper: Bilateration: an attack-resistant localization algorithm of wireless sensor network
Paper: CNN Feature boosted SeqSLAM for Real-Time Loop Closure Detection
Related paper: Return of the Devil in the Details: Delving Deep into Convolutional Nets
Unrelated paper: Fast plagiarism detection in large scale data
Paper: CNN Feature boosted SeqSLAM for Real-Time Loop Closure Detection
Related paper: Deep Learning for Content-Based Image Retrieval: A Comprehensive Study
Unrelated paper: Exploring Neural Translation Models for Cross-Lingual Text Similarity
Paper: CNN Feature boosted SeqSLAM for Real-Time Loop Closure Detection
Related paper: FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
Unrelated paper: Detecting emotions in social media: a constrained optimization approach
Paper: Bayesian recommender systems : models and algorithms
Related paper: Multi-Domain Collaborative Filtering
Unrelated paper: Application of Dimensionality Reduction in Recommender System -- A Case Study
Paper: Bayesian recommender systems : models and algorithms
Related paper: Multi-Domain Collaborative Filtering
Unrelated paper: Detection and Classification of Apple Fruit Diseases Using Complete Local Binary Patterns
Paper: Bayesian recommender systems : models and algorithms
Related paper: Advances in Prospect Theory: Cumulative Representation of Uncertainty
Unrelated paper: Comparison of continuous thoracic epidural analgesia with bilateral erector spinae plane block for perioperative pain management in cardiac surgery
Paper: Bayesian recommender systems : models and algorithms
Related paper: Multi-Domain Collaborative Filtering
Unrelated paper: On visibility and empty-region graphs
Paper: Bayesian recommender systems : models and algorithms
Related paper: A POMDP Formulation of Preference Elicitation Problems
Unrelated paper: BRAIN-COMPUTER INTERFACE VIRTUAL KEYBOARD FOR ACCESSIBILITY
Paper: Learning to Segment via Cut-and-Paste
Related paper: Learning to Segment Every Thing
Unrelated paper: Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
Paper: Learning to Segment via Cut-and-Paste
Related paper: Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
Unrelated paper: Adverse event reporting rates following tetanus-diphtheria and tetanus toxoid vaccinations: data from the Vaccine Adverse Event Reporting System (VAERS), 1991-1997.
Paper: Learning to Segment via Cut-and-Paste
Related paper: Progressive Growing of GANs for Improved Quality, Stability, and Variation
Unrelated paper: Local Connectome Phenotypes Predict Social, Health, and Cognitive Factors
Paper: Learning to Segment via Cut-and-Paste
Related paper: Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
Unrelated paper: Antimicrobial Susceptibility Pattern and Biochemical Characteristics of Staphylococcus aureus: Impact of Bio field Treatment
Paper: Learning to Segment via Cut-and-Paste
Related paper: Unsupervised Visual Representation Learning by Context Prediction
Unrelated paper: CityBeat: real-time social media visualization of hyper-local city data
Paper: An efficient natural language interface to XML database
Related paper: DBIQS — An intelligent system for querying and mining databases using NLP
Unrelated paper: DISCOVER: Keyword Search in Relational Databases
Paper: An efficient natural language interface to XML database
Related paper: DBIQS — An intelligent system for querying and mining databases using NLP
Unrelated paper: Electrical muscle stimulation preserves the muscle mass of critically ill patients: a randomized study
Paper: An efficient natural language interface to XML database
Related paper: DBIQS — An intelligent system for querying and mining databases using NLP
Unrelated paper: Traceability in Systems Engineering - Review of industrial practices, state-of-the-art technologies and new research solutions
Paper: An efficient natural language interface to XML database
Related paper: Using natural language processing in order to create SQL queries
Unrelated paper: Internet of Things: Ubiquitous Home Control and Monitoring System using Android based Smart Phone
Paper: An efficient natural language interface to XML database
Related paper: Constructing an Interactive Natural Language Interface for Relational Databases
Unrelated paper: Nonparametric Bayesian Data Analysis
Paper: Deep Kernel Learning
Related paper: Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Unrelated paper: DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Paper: Deep Kernel Learning
Related paper: A Fast Learning Algorithm for Deep Belief Nets
Unrelated paper: Environmental Noise Pollution in the United States: Developing an Effective Public Health Response
Paper: Deep Kernel Learning
Related paper: Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Unrelated paper: Bootstrapping Privacy Compliance in Big Data Systems
Paper: Deep Kernel Learning
Related paper: A unifying view of sparse approximate Gaussian process regression
Unrelated paper: Knowledge, Motivation, and Adaptive Behavior: A Framework for Improving Selling Effectiveness
Paper: Deep Kernel Learning
Related paper: Multiple kernel learning algorithms
Unrelated paper: Effect of preterm birth on later FEV1: a systematic review and meta-analysis
Paper: On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Related paper: Greedy Layer-Wise Training of Deep Networks
Unrelated paper: Domain-Adversarial Neural Networks
Paper: On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Related paper: On Random Weights and Unsupervised Feature Learning
Unrelated paper: Magnetotransport of single crystalline NbAs
Paper: On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Related paper: Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
Unrelated paper: Wind-biogas and controlled grid based hybrid power system for rural electrification
Paper: On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Related paper: Learning Transferable Features with Deep Adaptation Networks
Unrelated paper: A hybrid cache architecture of shared memory and meta-table used in big multimedia query
Paper: On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
Related paper: Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
Unrelated paper: Arthroscopic Repair of Humeral Avulsion of the Glenohumeral Ligament Lesion
Paper: a comparative study of online p 2 p lending in the usa and china .
Related paper: Sending mixed signals: multilevel reputation effects in peer-to-peer lending markets
Unrelated paper: Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests
Paper: a comparative study of online p 2 p lending in the usa and china .
Related paper: user acceptance of information technology : toward a unified view .
Unrelated paper: Impact of inadequate adherence on response to subcutaneously administered anti-tumour necrosis factor drugs: results from the Biologics in Rheumatoid Arthritis Genetics and Genomics Study Syndicate cohort
Paper: a comparative study of online p 2 p lending in the usa and china .
Related paper: user acceptance of information technology : toward a unified view .
Unrelated paper: Evolutionary Robotics for Legged Machines: From Simulation to Physical Reality
Paper: a comparative study of online p 2 p lending in the usa and china .
Related paper: user acceptance of information technology : toward a unified view .
Unrelated paper: Learning Multi-modal Similarity
Paper: a comparative study of online p 2 p lending in the usa and china .
Related paper: user acceptance of information technology : toward a unified view .
Unrelated paper: A Printed Circularly Polarized Y-Shaped Monopole Antenna
Paper: Developing a Comprehensive Engagement Framework of Gamification for Reflective Learning
Related paper: Entertainment as Pleasurable and Meaningful: Identifying Hedonic and Eudaimonic Motivations for Entertainment Consumption
Unrelated paper: A Theory of Social Comparison Processes
Paper: Developing a Comprehensive Engagement Framework of Gamification for Reflective Learning
Related paper: Entertainment as Pleasurable and Meaningful: Identifying Hedonic and Eudaimonic Motivations for Entertainment Consumption
Unrelated paper: Chinese Handwriting Recognition: An Algorithmic Perspective
Paper: Developing a Comprehensive Engagement Framework of Gamification for Reflective Learning
Related paper: At least nine ways to play: approaching gamer mentalities
Unrelated paper: Learning-based cursive handwriting synthesis
Paper: Developing a Comprehensive Engagement Framework of Gamification for Reflective Learning
Related paper: At least nine ways to play: approaching gamer mentalities
Unrelated paper: Online semi-parametric learning for inverse dynamics modeling
Paper: Developing a Comprehensive Engagement Framework of Gamification for Reflective Learning
Related paper: Entertainment as Pleasurable and Meaningful: Identifying Hedonic and Eudaimonic Motivations for Entertainment Consumption
Unrelated paper: Pathologic features of fatal shark attacks.
Paper: A survey of task-oriented crowdsourcing
Related paper: Financial incentives and the "performance of crowds"
Unrelated paper: Judgment under Uncertainty: Heuristics and Biases
Paper: A survey of task-oriented crowdsourcing
Related paper: Predicting protein structures with a multiplayer online game
Unrelated paper: Mobile Cloud Computing: Challenges and Future Research Directions
Paper: A survey of task-oriented crowdsourcing
Related paper: Predicting protein structures with a multiplayer online game
Unrelated paper: A standard compliant security framework for IEEE 802.15.4 networks
Paper: A survey of task-oriented crowdsourcing
Related paper: Financial incentives and the "performance of crowds"
Unrelated paper: Publicly Private and Privately Public: Social Networking on YouTube
Paper: A survey of task-oriented crowdsourcing
Related paper: Quality management on Amazon Mechanical Turk
Unrelated paper: Central mechanisms involved in the orexigenic actions of ghrelin
Paper: MaCow: Masked Convolutional Generative Flow
Related paper: The Neural Autoregressive Distribution Estimator
Unrelated paper: WaveNet: A Generative Model for Raw Audio
Paper: MaCow: Masked Convolutional Generative Flow
Related paper: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Unrelated paper: Characteristic-based Clustering for Time Series Data
Paper: MaCow: Masked Convolutional Generative Flow
Related paper: Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Unrelated paper: discovering new digital business model types - a study of technology startups from the mobility sector .
Paper: MaCow: Masked Convolutional Generative Flow
Related paper: MADE: Masked Autoencoder for Distribution Estimation
Unrelated paper: Risk and parameter convergence of logistic regression
Paper: MaCow: Masked Convolutional Generative Flow
Related paper: MADE: Masked Autoencoder for Distribution Estimation
Unrelated paper: A widely tunable active RF filter topology
Paper: grasp with path relinking for the two - echelon vehicle routing problem teodor .
Related paper: Models for Evaluating and Planning City Logistics Systems
Unrelated paper: On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts - Towards Memetic Algorithms
Paper: grasp with path relinking for the two - echelon vehicle routing problem teodor .
Related paper: Fundamentals of scatter search and path relinking
Unrelated paper: EEG changes caused by spontaneous facial self-touch may represent emotion regulating processes and working memory maintenance
Paper: grasp with path relinking for the two - echelon vehicle routing problem teodor .
Related paper: Fundamentals of scatter search and path relinking
Unrelated paper: Emotion Recognition based on Phoneme Classes
Paper: grasp with path relinking for the two - echelon vehicle routing problem teodor .
Related paper: Models for Evaluating and Planning City Logistics Systems
Unrelated paper: disturbance and landscape dynamics in a changing world .
Paper: grasp with path relinking for the two - echelon vehicle routing problem teodor .
Related paper: Models for Evaluating and Planning City Logistics Systems
Unrelated paper: Pretreatment of lignocellulose: Formation of inhibitory by-products and strategies for minimizing their effects.
Paper: Randomized structure from motion based on atomic 3D models from camera triplets
Related paper: Fast approximate nearest neighbors with automatic algorithm configuration
Unrelated paper: Locality-sensitive hashing scheme based on p-stable distributions
Paper: Randomized structure from motion based on atomic 3D models from camera triplets
Related paper: Fast approximate nearest neighbors with automatic algorithm configuration
Unrelated paper: An ensemble method for extracting adverse drug events from social media
Paper: Randomized structure from motion based on atomic 3D models from camera triplets
Related paper: Fast approximate nearest neighbors with automatic algorithm configuration
Unrelated paper: Co-clustering documents and words using bipartite spectral graph partitioning
Paper: Randomized structure from motion based on atomic 3D models from camera triplets
Related paper: Structure from motion with wide circular field of view cameras
Unrelated paper: Modeling and execution of event stream processing in business processes
Paper: Randomized structure from motion based on atomic 3D models from camera triplets
Related paper: Fast approximate nearest neighbors with automatic algorithm configuration
Unrelated paper: RoboticPhysicalExercise andSystem (ROPES): A Cable-Driven Robotic Rehabilitation System for Lower-Extremity Motor Therapy
Paper: A survey of top-k query processing techniques in relational database systems
Related paper: Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
Unrelated paper: Implementation techniques for main memory database systems
Paper: A survey of top-k query processing techniques in relational database systems
Related paper: Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
Unrelated paper: Knowledge, practice and associated factors of infection prevention among healthcare workers in Debre Markos referral hospital, Northwest Ethiopia
Paper: A survey of top-k query processing techniques in relational database systems
Related paper: Online Aggregation
Unrelated paper: Toward automatic role identification in unannotated folk tales
Paper: A survey of top-k query processing techniques in relational database systems
Related paper: Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
Unrelated paper: Effects of Long-Term Ayahuasca Administration on Memory and Anxiety in Rats
Paper: A survey of top-k query processing techniques in relational database systems
Related paper: Online Aggregation
Unrelated paper: relevance theory * .
Paper: Raster-to-Vector: Revisiting Floorplan Transformation
Related paper: A system to detect rooms in architectural floor plan images
Unrelated paper: Model globally, match locally: Efficient and robust 3D object recognition
Paper: Raster-to-Vector: Revisiting Floorplan Transformation
Related paper: A system to detect rooms in architectural floor plan images
Unrelated paper: Coarse and Fine Grain Programmable Overlay Architectures for FPGAs
Paper: Raster-to-Vector: Revisiting Floorplan Transformation
Related paper: Improved Automatic Analysis of Architectural Floor Plans
Unrelated paper: Multi-Query Optimization for Subgraph Isomorphism Search
Paper: Raster-to-Vector: Revisiting Floorplan Transformation
Related paper: Robust reconstruction of indoor scenes
Unrelated paper: Universally composable two-party and multi-party secure computation
Paper: Raster-to-Vector: Revisiting Floorplan Transformation
Related paper: Automatic Room Detection and Reconstruction in Cluttered Indoor Environments with Complex Room Layouts
Unrelated paper: Educational data mining: A survey and a data mining-based analysis of recent works
Paper: Scalable Attribute-Value Extraction from Semi-structured Text
Related paper: introduction to statistical relational learning ( adaptive computation and machine learning ) .
Unrelated paper: FOIL: A Midterm Report