yusuke1997/dblp-id-title huggingface dataset:
Explicit Passive Analysis in Electronic Catalogs
OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World
Learning an Image-based Obstacle Detector With Automatic Acquisition of Training Data
LARS: A Logic-Based Framework for Analyzing Reasoning over Streams
Global Fusion Attention for Vision and Language Understanding (Student Abstract)
Intelligent Advice Provisioning for Repeated Interaction
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
Finding Life on Mars, and Other Tasks for NCSU's Mobile Robots
Automated Capture and Execution of Manufacturability Rules Using Inductive Logic Programming
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning
Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract)
Step-Calibrated Diffusion for Biomedical Optical Image Restoration
A FrameWork and an Analysis of Current Proposals for the Case-Based Organization and Representation of Procedural Knowledge
Creating Serious Robots That Improve Society
Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training
A Denoising Pre-training Framework for Accelerating Novel Material Discovery
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Shrub Ensembles for Online Classification
On the Complexity of Monotonic Inheritance with Roles
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models
Route Finding in Street Maps by Computers and People
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types
Welfare Maximization in Perpetual Voting (Student Abstract)
Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities
Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification
A Logic of Agent Programs
An Algebraic Approach to Conflict Resolution in Planning
Dynamic Resource Allocation in Conservation Planning
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation
Temporally Extended Metrics for Markov Decision Processes
Finding Action Tubes with a Sparse-to-Dense Framework
Consistent Video Style Transfer via Compound Regularization
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation
Contracting Strategy Based on Markov Process Modeling
Linear Context Transform Block
Localization in the Crowd with Topological Constraints
Addressing the Under-Translation Problem from the Entropy Perspective
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach
Principal-Agent Reward Shaping in MDPs
Comparatives in Context
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning
Replication-proof Bandit Mechanism Design with Bayesian Agents
Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving
A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification
Strongly Decomposable Voting Rules on Multiattribute Domains
Dynamic Map: Representation of Interactions between Robots
Towards Automated Semi-Supervised Learning
Verification of RNN-Based Neural Agent-Environment Systems
Approximation Algorithms for Preference Aggregation Using CP-Nets
Multi-ViewPoint Clustering Analysis (MVP-CA) Tool
PST: The Provider Selection Tool
MIMTrack: In-Context Tracking via Masked Image Modeling
Using Discourse Signals for Robust Instructor Intervention Prediction
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
Marginalized Continuous Time Bayesian Networks for Network Reconstruction from Incomplete Observations
Incremental Image De-raining via Associative Memory
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
Simultaneous Clustering and Ensemble
Learning Query Inseparable εℒℋ Ontologies
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Safe Abductive Learning in the Presence of Inaccurate Rules
Corpus-based and Knowledge-based Measures of Text Semantic Similarity
Tree-Bank Grammars
Dense Events Grounding in Video
A Basis for a Theory of Program Synthesis
Knowledge-Guided Object Discovery with Acquired Deep Impressions
Pixel-Wise Warping for Deep Image Stitching
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
Channel Attention Is All You Need for Video Frame Interpolation
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
CAMEO: Modeling Human Activity in Formal Meeting Situations
Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement
Model-Based Reconfiguration: Toward an Integration with Diagnosis
Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System
Computation of Upper-Bounds for Stochastic Context-Free Languages
Configuration Checking with Aspiration in Local Search for SAT
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
Automatic Invention of Integer Sequences
MaxSAT by Improved Instance-Specific Algorithm Configuration
Co-Evolution of Selection and Influence in Social Networks
Finding Redundant Constraints for FSM Minimization
Bayesian Optimized Monte Carlo Planning
Towards Decentralized Waypoint Negotiation
Situated Plan Attribution for Intelligent Tutoring
A Simple Baseline for Multi-Camera 3D Object Detection
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation
Evolving Compiler Heuristics to Manage Communication and Contention
A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations
Bounding the Cost of Stability in Games over Interaction Networks
Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior
Improving Learning in Networked Data by Combining Explicit and Mined Links
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract)
Solving Partially Observable Stochastic Games with Public Observations
Long-Term Safe Reinforcement Learning with Binary Feedback
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation
An Efficient First-Order Horn-Clause Abduction System Based on the ATMS
Abstractive Summarization: A Survey of the State of the Art
Proper Proxy Scoring Rules
Embedding Ethical Principles in Collective Decision Support Systems
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees
Training Binary Neural Network without Batch Normalization for Image Super-Resolution
Present-Biased Optimization
Fairness-Accuracy Trade-Offs: A Causal Perspective
Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)
Boolean Extensions of Inheritance Networks
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
RadarMath: An Intelligent Tutoring System for Math Education
Layer Collaboration in the Forward-Forward Algorithm
Towards Transferable Adversarial Attacks with Centralized Perturbation
Relation Network for Person Re-Identification
Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior
Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract)
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Weapon Activity Recognition
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach
Temporal Fairness in Multiwinner Voting
Ontology-Based Data Access with Dynamic TBoxes in DL-Lite
Coordination and Multi-Tasking Using EMT
Discriminative Clustering via Generative Feature Mapping
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Margin Based PU Learning
Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection
Logic Programming with Ordered Disjunction
Using Abstraction and Nondeterminism to Plan Reaction Loops
Knowledge-Aware Neuron Interpretation for Scene Classification
Learning Predictive State Representations From Non-Uniform Sampling
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series
Preventive Leak Detection for High Pressure Gas Transmission Networks
Learning with Partial Labels from Semi-supervised Perspective
Panel: Financial Expert Systems
Profit Sharing Auction
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming
Communication-Efficient Collaborative Best Arm Identification
Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis
How to Train a Compact Binary Neural Network with High Accuracy?
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
ARGUS: An Automated Multi-Agent Visitor Identification System
Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs
Intersection Coordination with Priority-Based Search for Autonomous Vehicles
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
First Experiments with Rue Automated Deduction
Decouple Content and Motion for Conditional Image-to-Video Generation
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update
KAN: Knowledge-aware Attention Network for Fake News Detection
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
SplitNet: A Dynamic Hierarchical Network Model
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection
Self-Correcting Generalization
The Complexity of Restricted Consequence Finding and Abduction
Argument Mining Driven Analysis of Peer-Reviews
Mixed Propositional Metric Temporal Logic: A New Formalism for Temporal Planning
Contextualized Rewriting for Text Summarization
Context-Aware Transfer Attacks for Object Detection
The Mainstays of Trustworthy Machine Learning
Myopic Policies for Budgeted Optimization with Constrained Experiments
The Model-Based Approach to Autonomous Behavior: A Personal View
Pruning for Monte Carlo Distributed Reinforcement Learning in Decentralized POMDPs
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
Learning Structured World Models From and For Physical Interactions
Online Certification of Preference-Based Fairness for Personalized Recommender Systems
Integrating Multi-Source Data for Long Sequence Precipitation Forecasting
An SVD and Derivative Kernel Approach to Learning from Geometric Data
Visual Saliency Map from Tensor Analysis
SPINE: SParse Interpretable Neural Embeddings
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
Image-to-Image Retrieval by Learning Similarity between Scene Graphs
Towards A Six-Level Framework of Emotional Intelligence for Customer Service Chatbots
CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance
PriFold: Biological Priors Improve RNA Secondary Structure Predictions
Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
Sparsification of Decomposable Submodular Functions
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
Goal Oriented Symbolic Propagation in Bayesian Networks
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity
MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts
Recognizing Textual Entailment Using a Subsequence Kernel Method
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
Discerning Temporal Difference Learning
An Implementation of Robot Formations using Local Interactions
Dual Information Purification for Lightweight SAR Object Detection
ATRANS Automatic Processing of Money Transfer Messages
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation
A Simple Graph Contrastive Learning Framework for Short Text Classification
Using Probabilistic Knowledge and Simulation to Play Poker
Distributed Cases for Case-Based Reasoning: Facilitating Use of Multiple Cases
MERCS: Multi-Directional Ensembles of Regression and Classification Trees
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract)
A Bandit Approach to Maximum Inner Product Search
Possibilistic Behavior Recognition in Smart Homes for Cognitive Assistance
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem
Recognizing Instagram Filtered Images with Feature De-Stylization
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance
Approaches to Knowledge Acquisition: The Instructable Production System Project
Hybrid Knowledge- and Databases
Visualizing Inference
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation
A Deep Cascade Network for Unaligned Face Attribute Classification
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
Maximally Parsimonious Discrimination: A Generic Task from Linguistic Discovery
Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract)
Multilingual Medical Language Models: A Path to Improving Lay Health Worker Effectiveness (Student Abstract)
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
MagiCapture: High-Resolution Multi-Concept Portrait Customization
Loop Calculus for Satisfiability
Teaching With Watson
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
Graph Convolutional Networks With Argument-Aware Pooling for Event Detection
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging
LAMM: Label Alignment for Multi-Modal Prompt Learning
Top-Quality Planning: Finding Practically Useful Sets of Best Plans
Designing for Manufacturability in Riveted Joints
Deep Low-Contrast Image Enhancement using Structure Tensor Representation
Efficient Minimum Information Updating for Bayesian Inferencing in Expert Systems
Graph Scan Statistics With Uncertainty
A General Solution to the Graph History Interaction Problem
Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction
Adapting Stable Matchings to Evolving Preferences
Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts
Patch-Aware Sample Selection for Efficient Masked Image Modeling
From Virtual Demonstration to Real-World Manipulation Using LSTM and MDN
Solving Large-Scale Constraint-Satisfaction and Scheduling Problems Using a Heuristic Repair Method
Music Style Transfer with Time-Varying Inversion of Diffusion Models
Localizing Search in Reinforcement Learning
Reinforcement Learning via AIXI Approximation
Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems
TeamTalk: A Platform for Multi-Human-Robot Dialog Research in Coherent Real and Virtual Spaces
Distributed Spectrum-Based Fault Localization
Code-Style In-Context Learning for Knowledge-Based Question Answering
Efficient and Effective Uncertainty Quantification in Gradient Boosting via Cyclical Gradient MCMC
Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits
A Distributed Algorithm to Evaluate Quantified Boolean Formulae
Hierarchical Context Enabled Recurrent Neural Network for Recommendation
Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning
ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies
Truthful Approximation Mechanisms for Restricted Combinatorial Auctions
Burst Time Prediction in Cascades
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
A Three-Valued Characterization for Strong Equivalence of Logic Programs
The Complexity of Propositional Default Logics
Repairing Miscommunication: Relaxation in Reference
Acronym Identification using Transformers and Flair Framework
Combining Classification and Temporal Learning
Multi-attention Recurrent Network for Human Communication Comprehension
Dynamic Symbol Grounding: Changing Referents in Engineering Analysis and Spatial Environments
Forward Chaining Logic Programming with the ATMS
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
Suboptimal Search with Dynamic Distribution of Suboptimality
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract)
First-Order Algorithm with O(ln(1/e)) Convergence for e-Equilibrium in Two-Person Zero-Sum Games
Foundations of Envisioning
Video Object of Interest Segmentation
Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification
GROWRANGE: Anytime VCG-Based Mechanisms
Bounds on Translational and Angular Velocity Components from First Order Derivatives of Image Flow
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces
Flexible Teamwork in Behavior-Based Robots
Modeling Information Agents: Advertisement, Organizational Roles, and Dynamic Behavior
A Dynamic Organization in Distributed Constraint Satisfaction
Context-Sensitive Twitter Sentiment Classification Using Neural Network
Memory-Bounded Bidirectional Search
Lifted Inference for Convex Quadratic Programs
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning
Layout Generation as Intermediate Action Sequence Prediction
A Batch Learning Framework for Scalable Personalized Ranking
QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach
Hidden Market Design
On Adaptivity in Information-Constrained Online Learning
Provoking Opponents to Facilitate the Recognition of their Intentions
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
Entropic Open-Set Active Learning
Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics
Detection and Recognition of Text Embedded in Online Images via Neural Context Models
Efficient Production Match Algorithm and Its Implication for Dynamic Constraint Satisfaction Problems
An Open-Ended Learning Framework for Opponent Modeling
Predicting Author Blog Channels with High Value Future Posts for Monitoring
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
Recursion in Abstract Argumentation is Hard - On the Complexity of Semantics Based on Weak Admissibility
Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues
What Constitutes Happiness? Predicting and Characterizing the Ingredients of Happiness Using Emotion Intensity Analysis
Model Decomposition and Simulation: A Component Based Qualitative Simulation Algorithm
OASIS: Online Active Semi-Supervised Learning
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network
Speech-enabled Card Games for Language Learners
Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques
Adaptive Feature Abstraction for Translating Video to Text
Locally Rainbow Paths
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
Enabling Domain-Awareness for a Generic Natural Language Interface
LAqua: Laplacian Pyramids for Aquatic Segmentation (Student Abstract)
Incentives for Truthful Information Elicitation of Continuous Signals
Perception Beyond Sensors Under Uncertainty
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Multiplex Graph Representation Learning via Common and Private Information Mining
Domain General Face Forgery Detection by Learning to Weight
Multi-Region Text-Driven Manipulation of Diffusion Imagery
A Non-parametric Graph Clustering Framework for Multi-View Data
Designing Water Efficient Residential Landscapes with Agent-Based Modeling
Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)
Reformulating Temporal Action Logics in Answer Set Programming
The Strange Role of Information Asymmetry in Auctions - Does More Accurate Value Estimation Benefit a Bidder?
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response
Lifetime Lexical Variation in Social Media
Complete Local Search for Propositional Satisfiability
3D Box Proposals From a Single Monocular Image of an Indoor Scene
Minimal Cost Complexity Pruning of Meta-Classifiers
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
No Internal Regret with Non-convex Loss Functions
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
An Optimally Efficient Limited Inference System
Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification
Adversarial Learning of Semantic Relevance in Text to Image Synthesis
Active Learning for Pipeline Models
Bootstrapped Reward Shaping