yusuke1997/dblp-id-title huggingface dataset:
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer
MARGIE: Memory Analysis Response Generation, and Inference on English
Unweighted Coalitional Manipulation under the Borda Rule Is NP-Hard
Belief Change in a Preferential Non-monotonic Framework
The Representation and Use of Focus in a System for Understanding Dialogs
Coupling CSP Decomposition Methods and Diagnosis Algorithms for Tree-Structured Systems
Hidden 1-Counter Markov Models and How to Learn Them
Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach
Parallel Iterative A* Search: An Admissible Distributed Heuristic Search Algorithm
Design of a Data-driven Intervention Dashboard for SDG Localization
A Value-based Trust Assessment Model for Multi-agent Systems
Predicting Globally and Locally: A Comparison of Methods for Vehicle Trajectory Prediction
Intelligent Virtual Machine Provisioning in Cloud Computing
Using Global Properties for Qualitative Reasoning: A Qualitative System Theory
Some Aspects Of Sensory Instrumentation For Robots And Manipulators
Hypothetically Speaking Default Reasoning and Discourse-Structure
One System for Simulation of Pattern Recognition Algorithms
PAPE: An On-Line System for Inferring Procedures from Sets of Their Traces
Semantics Visualization as a User Interface in Business Information Searching
Multi-Agent Planning as a Dynamic Search for Social Consensus
Inductive Inference Theory - A Unified Approach to Problems in Pattern Recognition and Artificial Intelligence
Axiomatic Foundations of Explainability
Computing Horn Rewritings of Description Logics Ontologies
Design Concept of Direct-Drive Manipulators Using Rare-Earth DC Torque Motors
Fast Motion Prediction for Collaborative Robotics
Learning Deep on Cyberbullying is Always Better Than Brute Force
On Q-learning Convergence for Non-Markov Decision Processes
Moving in a Crowd: Safe and Efficient Navigation among Heterogeneous Agents
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
Feature Staleness Aware Incremental Learning for CTR Prediction
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation
Improving Information Centrality of a Node in Complex Networks by Adding Edges
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision
A Dynamic Pattern Recognition Method Using the Preview Controlled Saccadic Movement of the Detector
A Dual Input-aware Factorization Machine for CTR Prediction
Demonstration: Liaison Agents for Distributed Space Operations
An Algorithm for Moving a Computer-Controlled Manipulator While Avoiding Obstacles
Fractional Matchings under Preferences: Stability and Optimality
The Delta of Thought: Channeling Rivers of Commonsense Knowledge in the Sea of Metaphorical Interpretations
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning
Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification
Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis
An Analysis of Multiobjective Search Algorithms and Heuristics
Doing Arithmetic with Diagrams
Experience in Ontology Engineering for a Multi-Agents Corporate Memory System
Incremental Mechanism Design
Automated pain detection in facial videos of children using human-assisted transfer learning
Markov Localization using Correlation
Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning
Self-paced Consensus Clustering with Bipartite Graph
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation
Semantic Smoothing of Document Models for Agglomerative Clustering
Improving Traffic Prediction with Tweet Semantics
Sketch the Storyline with CHARCOAL: A Non-Parametric Approach
Efficient Reinforcement Learning in Factored MDPs
Hypercubewise Preference Aggregation in Multi-Issue Domains
High-Confident Local Structure Guided Consensus Graph Learning For Incomplete Multi-view Clustering
Probabilistic Feature Matching for Fast Scalable Visual Prompting
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring
Information Extraction of Texts in the Biomedical Domain
Mechanisms That Play a Game, Not Toss a Coin
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better
Discrete Multiple Kernel k-means
A Schema-Based Approach to Understanding Subjunctive Conditionals
Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games
Nonmonotonic Databases and Epistemic Queries
Boosted Zero-Shot Learning with Semantic Correlation Regularization
Compositional Zero-Shot Artistic Font Synthesis
Consistency Measures for Feature Selection: A Formal Definition, Relative Sensitivity Comparison, and a Fast Algorithm
The Generation of Continuous Semantic Constraints from Semantic Propositions
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
Recurrent Existence Determination Through Policy Optimization
Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract
Automatic classification of dialog acts with semantic classification trees and polygrams
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory
Efficient Execution of Recursive Integration Plans
Spatial-Spectral Similarity-Guided Fusion Network for Pansharpening
Statistical Learning with a Nuisance Component (Extended Abstract)
Reactive Combination of Belief Over Time Using Direct Perception
AILP: Abductive Inductive Logic Programming
Correct and Optimal: The Regular Expression Inference Challenge
Generating Bayes-Nash Equilibria to Design Autonomous Trading Agents
Corner Affinity: A Robust Grouping Algorithm to Make Corner-guided Detector Great Again
The Stanford Hand-Eye Project
The Importance of Human-Labeled Data in the Era of LLMs
Sequential Recommender Systems: Challenges, Progress and Prospects
Unsupervised Learning of Patterns in Data Streams Using Compression and Edit Distance
Disentanglement of Latent Representations via Causal Interventions
Non-Euclidean Self-Organizing Maps
A language for functional interpretation of model based simulation
Extending Decision Tree to Handle Multiple Fairness Criteria
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
k-Best: A New Method for Real-Time Decision Making
Validating Correctness of Textual Explanation with Complete Discourse Trees
Growth of Motor Coordination in Early Robot Learning
Single-Image 3D Scene Parsing Using Geometric Commonsense
Semi-Quantitative Comparative Analysis
Hybrid Relational Graphs with Sentiment-laden Semantic Alignment for Multimodal Emotion Recognition in Conversation
Finite-Valued Lukasiewicz Modal Logic Is PSPACE-Complete
Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning
Generating Models of Solid Objects by Matching 3D Surface Segments
Robust Survey Aggregation with Student-t Distribution and Sparse Representation
Universal Video Style Transfer via Crystallization, Separation, and Blending
Strategies for Cooperative UAVs Using Model Predictive Control
A Modification of the Halpern-Pearl Definition of Causality
Identifying Conflicts in Overconstrained Temporal Problems
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
Towards an Information-Theoretic Framework for Quantifying Wayfinding Information in Virtual Environments
Cicerone: Design of a Real-Time Area Knowledge-Enhanced Venue Recommender
EnergyCompress: A General Case Base Learning Strategy
Reduced Time-Expansion Graphs and Goal Decomposition for Solving Cooperative Path Finding Sub-Optimally
A Grassmannian Manifold Self-Attention Network for Signal Classification
On the Balance of Meter Deployment Cost and NILM Accuracy
Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering
HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation
Better AMR-To-Text Generation with Graph Structure Reconstruction
Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data
Learning the past tense of English verbs using inductive logic programming
Storytelling AI: A Generative Approach to Story Narration
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
Automatic Generation of Heuristics for Scheduling
Democratic Fair Allocation of Indivisible Goods
Neural Belief Reasoner
An Environment for Experimentation with Parsing Strategies
Learning to Rank for Synthesizing Planning Heuristics
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
Replicating Active Appearance Model by Generator Network
AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract)
Assessing the Exposure to Public Knowledge in Policy-Protected Description Logic Ontologies
Beyond SPARQL under OWL 2 QL Entailment Regime: Rules to the Rescue
A Content-Based Method to Enhance Tag Recommendation
Towards a Formal Theory of Communication for Multi-agent Systems
Guiding GBFS through Learned Pairwise Rankings
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms
Maximal Cooperation in Repeated Games on Social Networks
Optimizing Sentence Modeling and Selection for Document Summarization
Contrastive and View-Interaction Structure Learning for Multi-view Clustering
Tractable (Simple) Contests
Connector-S: A Survey of Connectors in Multi-modal Large Language Models
Variable Elimination in Binary CSPs (Extended Abstract)
Content Ordering in the Generation of Persuasive Discourse
Using Line Correspondence Stereo to Measure Surface Orientation
Exploiting Semantic Web Technologies for Recommender Systems: A Multi View Recommendation Engine (Short Paper)
Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties
Compressed Nonparametric Language Modelling
Crowd Counting using Deep Recurrent Spatial-Aware Network
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
A Survey on Dataset Distillation: Approaches, Applications and Future Directions
Ordering Default Theories
Collective Biobjective Optimization Algorithm for Parallel Test Paper Generation
Enhancing MAS Cooperative Search Through Coalition Partitioning
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
MORE: An Intelligent Knowledge Acquisition Tool
A Reinforcement Learning Approach to job-shop Scheduling
Improved Rank Aggregation Under Fairness Constraint
Neural Regret-Matching for Distributed Constraint Optimization Problems
A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition
Prolog/Ex 1, An Inference Engine Which Explains Both Yes and No Answers
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning
Human Activity Encoding and Recognition Using Low-level Visual Features
Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery
Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation
Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health
Open data for inclusive governance
Mutually Supervised Learning in Multiagent Systems
Utility-Based Fraud Detection
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation
Proceedings of the Workshop on Semantic Techniques for Narrative-Based Understanding co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 24, 2022
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
Efficient and Modularized Training on FPGA for Real-time Applications
Prolog Extensions Based on Tableau Calculus
Model-based Revision Operators for Terminologies in Description Logics
Inconsistency-Based Federated Active Learning
Composing Real-Time Systems
Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem
A Network of Communicating Logic Programs and Its Semantics
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks
Delta-Tolling: Adaptive Tolling for Optimizing Traffic Throughput
Fairness and Optimization in Dynamic Multiagent Allocation Problems
The Incomplete Database
A Case-Based Mechanical Redesign System
Determining Explanations using Transmutations
Forecast the Plausible Paths in Crowd Scenes
The Difference All-Difference Makes
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training
On the Properties of GZ-Aggregates in Answer Set Programming
CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving
Enhancing Stock Movement Prediction with Adversarial Training
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning
Flexible Matching for Noisy Structural Descriptions
PPSGen: Learning to Generate Presentation Slides for Academic Papers
Classical Generalized Probabilistic Satisfiability
Approximating Optimal Policies for Partially Observable Stochastic Domains
Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Domain Adaptive Classification on Heterogeneous Information Networks
MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Emergent Frame Recognition and Its Use in Artificial Creatures
The Correction Machine: Formulating Explanations for User Misconceptions
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness
Compiling the Votes of a Subelectorate
Multimodal Interaction: A new focal area for AI
Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction
Evolutionary Generalized Zero-Shot Learning
Neural Networks as Model Selection with Incremental MDL Normalization
Binary Aggregation with Integrity Constraints
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees
Optimal Valve Placement in Water Distribution Networks with CLP(FD)
Improved Encodings of Acyclicity for Translating Answer Set Programming into Integer Programming
BiFSMN: Binary Neural Network for Keyword Spotting
Complementary Learning of Word Embeddings
Offline Time-Independent Multi-Agent Path Planning
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search
On Preferences and Priority Rules in Abstract Argumentation
Graceful Interaction in Man-Machine Communication
Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs
An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets
Methods for recovering conditional independence graphs (Abstract Reprint)
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction
Question Classification by Structure Induction
Autonomous adaptation of software agents in the support of human activities
Specification Overlays: An Application of Partitioned Semantic Networks
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
Structuring Computer Generated Proofs
Allocating Indivisible Items in Categorized Domains
Using Prior Learning to Facilitate the Learning of New Causal Theories
Supervised Local Tangent Space Alignment for Classification
A New Method of 3-D Motion Analysis Using a Concept of Projective Geometry
Failure Processing in a System for Designing Complex Assemblies
Connections Between the ATMS and AGM Belief Revision
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
Answering Process Questions
Deep Attribute Guided Representation for Heterogeneous Face Recognition
Discriminative Unsupervised Dimensionality Reduction
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
Characterization of Strategy/False-name Proof Combinatorial Auction Protocols: Price-oriented, Rationing-free Protocol
Distance Polymatrix Coordination Games
HGMP: Heterogeneous Graph Multi-Task Prompt Learning
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
Finding the Hardest Formulas for Resolution (Extended Abstract)
Affect Sensing in Metaphorical Phenomena and Dramatic Interaction Context
Equivalence Relations in Fully and Partially Observable Markov Decision Processes
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Consistency Techniques for Numeric CSPs
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Improving Data Management using Domain Knowledge
Epistemic Reasoning in Logic Programs
Reasoning With Incomplete Knowledge in a Resource-Limited Environment: Integrating Reasoning and Knowledge Acquisition
Unlearning from Demonstration
Semi-Supervised Gaussian Process Classifiers
Model-Based Diagnosis Meets Error Diagnosis in Logic Programs
A Breadth-First Parsing Model
A Hard Look at Soft Concepts
A Fast Algorithm for Consistency Checking Partially Ordered Time
Contributions to Personalizable Knowledge Integration
l 2, 1 -Norm Regularized Discriminative Feature Selection for Unsupervised Learning
Default Inheritance Reasoning in Hybrid KL-ONE-Style Logics
Optimally Protecting Elections
Improving Author Coreference by Resource-Bounded Information Gathering from the Web
Drastic Cut of Man's Work in Reliability Studies by Using an Expert System
Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning
FEDGE - Fuzzy Edge Detection by Fuzzy Categorization and Classification of Edges
Toward a Detailed Model of Processing for Language Describing the Physical World
High Performance Reasoning with Very Large Knowledge Bases: A Practical Case Study
Belief Revision on Computation Tree Logic
A New Hyperparamodulation Strategy for the Equality Relation
Core Challenges in Embodied Vision-Language Planning (Extended Abstract)
Large Language Model Based Multi-agents: A Survey of Progress and Challenges
Pattern Recognition of Strong Graphs Based on Possibilistic c-means and k-formulae Matching
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion
Over-Subscription Planning with Numeric Goals
Interpreting Descriptions in a Prolog-based Knowledge Representation System
Making the Breakout Algorithm Complete Using Systematic Search
A Ladder of Causal Distances
Clustering of Biomedical Data Using the Greedy Clustering Algorithm Based on Interval Pattern Concepts
An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning
Fixing Tournaments for Kings, Chokers, and More
Sequential Recommendation with Probabilistic Logical Reasoning
Efficient and Rigorous Model-Agnostic Explanations
Balancing Appearance and Context in Sketch Interpretation
Refining Incomplete Planning Domain Models Through Plan Traces
Fast Algorithms for Relational Marginal Polytopes
OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
Unsupervised Disentangled Representation Learning with Analogical Relations
Assessment of Smart Waste Management Systems with Spherical AHP Method
Natural Language Understanding as First-Order Abduction via Stable Models
Hypothesis of Simplicity in Pattern Recognition
An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, FRG, August 1983
A Translation-Based Approach to Contingent Planning
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Recursive Spoken Instruction-Based One-Shot Object and Action Learning
Formal Verification of Diagnosability via Symbolic Model Checking
Towards First-Order Concurrent METATEM
Web Page Clustering Using Heuristic Search in the Web Graph
Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation
A Control Structure For A Question-Answering System
Neural PCA for Flow-Based Representation Learning
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract)
ScreenAgent: A Vision Language Model-driven Computer Control Agent
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models
Belief Base Rationalization for Propositional Merging
Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem
How Unlabeled Web Videos Help Complex Event Detection?
Semi-supervised Clustering via Pairwise Constrained Optimal Graph
Multi-View Embedding Learning for Incompletely Labeled Data
Heuristically Expanding Knowledge-Based Neural Networks
Increasing Functional Constraints Need to Be Checked Only Once
The Intelligent Hand: An Experimental Approach to Human Object Recognition and Implications for Robotic Design
Capturing and Reusing Case-Based Context for Image Retrieval
A False Sense of Security (Extended Abstract)
Virtual Drone Control Using Brain-Computer Interface Based on Motor Imagery Brain Magnetic Fields
The Symbolic Nature of Visual Imagery
A "Hand-Eye" Robot-Simulating System
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
Robust Learning from Noisy Side-information by Semidefinite Programming
Abductive Matchmaking using Description Logics
Proving Semantic Properties as First-Order Satisfiability (Extended Abstract)
Improving the Efficiency of Dynamic Programming on Tree Decompositions via Machine Learning
An Algorithm for Constructing and Solving Imperfect Recall Abstractions of Large Extensive-Form Games
Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks
Optimal Seat Arrangement: What Are the Hard and Easy Cases?
S-Net: A Foundation for Knowledge Representation Languages
None Class Ranking Loss for Document-Level Relation Extraction
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
Reasoning with Cause and Effect
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
TSTAI: A Time-varying Brain Effective Connectivity Network Construction Method Combining with Brain Active Information
Learning to Coordinate Controllers - Reinforcement Learning on a Control Basis
KALE: An Artwork Image Captioning System Augmented with Heterogeneous Graph
Declarative and Computational Properties of Logic Programs with Aggregates
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction
PRISM: A Parallel Inference System for Problem Solving
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking
Behavior Composition Optimization