yusuke1997/dblp-id-title huggingface dataset:
Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Keyword Spices: A New Method for Building Domain-Specific Web Search Engines
Goal Recognition with Variable-Order Markov Models
Profiling Communication in Distributed Genetic Algorithms
Belief Functions for Real-Time Script Processing
Two-Sided Matching over Social Networks
SWAT: Spatial Structure Within and Among Tokens
The Textural Analysis
Relating Strong Spatial Cognition to Symbolic Problem Solving - An Example
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
Source-Selection-Free Transfer Learning
A System Which Allows Students to Explore Algorithms
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
Minimization for Generalized Boolean Formulas
Learn Your Opponent's Strategy (in Polynominal Time)!
Fast Recursive Formulations for Best-First Search That Allow Controlled Use of Memory
Value-Centric Trust Model with Improved Familiarity Measurement
Feature Selection for Survival Analysis in Bioinformatics
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
The Origin, Form, and Logic of Qualitative Physical Laws
Morphological Annotation of a Large Spontaneous Speech Corpus in Japanese
Predicting Landslides Using Locally Aligned Convolutional Neural Networks
Combining Fairness and Optimality when Selecting and Allocating Projects
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
Approximating Optimal Combinatorial Auctions for Complements Using Restricted Welfare Maximization
AI in Telecommunications
Argumentation: Reconciling Human and Automated Reasoning
Constraints on Tree Structure in Concept Formation
Swift Logic for Big Data and Knowledge Graphs
Weighted Interaction of Syntax and Semantics in Natural Language Analysis
Shapley Value Computation in Ontology-Mediated Query Answering (Extended Abstract)
The Utility of Feature Construcuon for Back-Propagation
Learning to Detect Concepts from Webly-Labeled Video Data
Search for a Solution: A Case Study
Reasoning with infinite stable models
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN
Consistency and Plausible Reasoning
ContextAware: A Multi-Agent Framework for Detecting Harmful Image-Based Comments on Social Media
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation
Learning Sensitivity of RCPSP by Analyzing the Search Process
Learning Value Predictors for the Speculative Execution of Information Gathering Plans
A Critic for LISP
Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer
An Expert System for Understanding Expressions from Electric Circuit Analysis
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
Towards High-Level Intrinsic Exploration in Reinforcement Learning
Optimal Planning Modulo Theories
A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, July 14, 2018
Semiring-Based Mini-Bucket Partitioning Schemes
Representation and Induction of Infinite Concepts and Recursive Action Sequences
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
Multiple Task Learning Using Iteratively Reweighted Least Square
Case-Based Techniques Used for Dialogue Understanding and Planning in a Human-Robot Dialogue System
Triple-to-Text Generation with an Anchor-to-Prototype Framework
A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas
Philosophical And Psychological Problems Of Artificial Intelligence
Safety of Multimodal Large Language Models on Images and Text
Sequential Attention Source Identification Based on Feature Representation
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction
Sequence Extrapolation
AI Techniques for Urban Traffic Control and Mobility
Inferring Painting Style with Multi-Task Dictionary Learning
Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks
The LOCUS Model of Search and its Use in Image Interpretation
Variables in Hypotheses
Optimal Airline Ticket Purchasing Using Automated User-Guided Feature Selection
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
More for Less: Safe Policy Improvement with Stronger Performance Guarantees
Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity
Imaging Time-Series to Improve Classification and Imputation
Robust Iterative Quantization for Efficient ℓ p -norm Similarity Search
Learning Continuous Time Bayesian Networks in Non-stationary Domains
Ceteris Paribus Preference Elicitation with Predictive Guarantees
In the Quest of the Missing Link
Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
Inferring Motif-Based Diffusion Models for Social Networks
Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise
Experience Learning in Model-Based Diagnostic Systems
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems
Why Prices Need Algorithms
A Functional Theory of Design Patterns
Latent Variable Perceptron Algorithm for Structured Classification
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification
Quantifying Consistency and Information Loss for Causal Abstraction Learning
Non-decreasing Payment Rules for Combinatorial Auctions
Who to Invite Next? Predicting Invitees of Social Groups
Cautious Rule-Based Collective Inference
Gibbard-Satterthwaite Games
A Fast Algorithm for Generalized Arc Consistency of the Alldifferent Constraint
Multi-Task Personalized Learning with Sparse Network Lasso
Learning Robust Gaussian Process Regression for Visual Tracking
Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes
Learning for Graph Matching and Related Combinatorial Optimization Problems
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
Structure-Aware Handwritten Text Recognition via Graph-Enhanced Cross-Modal Mutual Learning
From Approximate to Optimal Solutions: A Case Study of Number Partitioning
Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals
A Rational Extension of Stable Model Semantics to the Full Propositional Language
A Parsing System Based on Logic Programming
Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition
Association Rule Mining to Study Process-Related Cause-Effect-Relationships in Pig Farming
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment
Automatic SAT-Compilation of Planning Problems
Verifying Fault Tolerance and Self-Diagnosability of an Autonomous Underwater Vehicle
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Effective and Efficient Microprocessor Design Space Exploration Using Unlabeled Design Configurations
State Space Search for Risk-Averse Agents
Ignorant Influence Diagrams
Sequence Prediction with Unlabeled Data by Reward Function Learning
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework
Preserving Privacy in Region Optimal DCOP Algorithms
Probabilistic Argument Maps for Intelligence Analysis: Completed Capabilities
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Predicting Human Interaction via Relative Attention Model
Swarm Systems in the Visualization of Consumption Patterns
Expanding the Reach of Social Choice Theory
Hypernetwork Aggregation for Decentralized Personalized Federated Learning
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation
A Correct Non-Monotonic ATMS
Uniform Welfare Guarantees Under Identical Subadditive Valuations
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges
Structuring Mathematical Knowledge
An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space
Constructing Narrative Event Evolutionary Graph for Script Event Prediction
Procedural Expert Systems
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding
LSTM Networks for Online Cross-Network Recommendations
Redefining Contributions: Shapley-Driven Federated Learning
BLOG: Probabilistic Models with Unknown Objects
Variation Generalized Feature Learning via Intra-view Variation Adaptation
Reasoning about actions: Non-deterministic effects, Constraints, and Qualification
Temporal Datalog with Existential Quantification
Rolling Dispersion for Robot Teams
Topology Optimization based Graph Convolutional Network
Representing Implicit And Explicit Time Relations In Narrative
Flow Matching Based Sequential Recommender Model
Surprisingness and Expectation Failure: What's the Difference?
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract)
Temporal Event Conceptualization
Accelerating Innovation Through Analogy Mining
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden
Machine Learning Techniques for MultiAgent Systems
Spiteful Bidding in Sealed-Bid Auctions
Label Distribution Learning from Logical Label
Augmenting Tractable Fragments of Abstract Argumentation
The Re-use of Linguistic Resources across Languages in Multilingual Generation Components
Bayesian Nonparametric Feature Construction for Inverse Reinforcement Learning
Cognitive-Inspired Conversational-Strategy Reasoner for Socially-Aware Agents
Positive unlabeled learning via wrapper-based adaptive sampling
Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network
Estimation and Comparison of Linear Regions for ReLU Networks
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces
Symmetric Splitting in the General Theory of Stable Models
Collaborative Neural Rendering Using Anime Character Sheets
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration
Online Submodular Maximization via Adaptive Thresholds
A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism
Understanding top-level ontological distinctions
3DPO: A Three-Dimensional Part Orientation System
Demonstrating PROLOG on APPLE II
Towards Unsupervised Ontology Learning from Data
Efficient Symmetry Breaking for Boolean Satisfiability
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation
Perceptive Robot Moving in 3D World
Conceptual Visualization and Navigation Methods for Polyadic Formal Concept Analysis
Numerical Interval Simulation: Combined Qualitative and Quantitative Simulation to Bound Behaviors of Non-Monotonic Systems
Massively Parallel Single-Source SimRanks in O(log N) Rounds
Choice Logics and Their Computational Properties
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
A Survey of Machine Narrative Reading Comprehension Assessments
The Necessity of Syntactic Parsing for Semantic Role Labeling
A Multiobjective Reinforcement Learning Approach to Trip Building
Bridging LSTM Architecture and the Neural Dynamics during Reading
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning
Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy
Theorem Proving by Covering Expressions
Multi-Agent Systems with Quantitative Satisficing Goals
Incentive Engineering for Boolean Games
Efficient PAC Reinforcement Learning in Regular Decision Processes
Agent-based Decision Support for Pain Management in Primary Care Settings
Optimizing Backtrack Search for all Solutions to Conjunctive Problems
DPSampler: Exact Weighted Sampling Using Dynamic Programming
Multi-Agent Pathfinding with Continuous Time
Crowdsourcing and Sharing Economic in the Smart City Concept. Influence of the Idea on Development and Urban Resources
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
Acquiring Recursive Concepts with Explanation-Based Learning
On the Convergence of Fictitious Play: A Decomposition Approach
A Sequence-to-Set Network for Nested Named Entity Recognition
The Implementation of Expert, Knowledge-Based Systems
Towards Semantic Reasoning in Knowledge Management Systems
Fair, Individually Rational and Cheap Adjustment
Self-paced Supervision for Multi-source Domain Adaptation
Incremental Slow Feature Analysis
Risk-Sensitive Policies for Sustainable Renewable Resource Allocation
Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems
Representing Numbers in Semantic Networks: Prolegomena
Inductive Learning of Pronunciation Rules by hypothesis Testing and Correction
BRPO: Batch Residual Policy Optimization
Visual Task Inference Using Hidden Markov Models
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
Valued Constraint Satisfaction Problems: Hard and Easy Problems
Imagination-Limited Q-Learning for Offline Reinforcement Learning
Large Language Model Meets Constraint Propagation
A Motion Closed World Asumption
Learning with a Helpful Teacher
From Computational Social Choice to Digital Democracy
Omnidirectional Scene Text Detection with Sequential-free Box Discretization
Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour
Case Structure Systems
An Analysis of Sequential Auctions for Common and Private Value Objects
RetroMoE: A Mixture-of-Experts Latent Translation Framework for Single-step Retrosynthesis
Tractable Meta-Reasoning in Propositional Logics of Belief
Entity-aware and Motion-aware Transformers for Language-driven Action Localization
Densely Connected CNN with Multi-scale Feature Attention for Text Classification
Reachability Games in Dynamic Epistemic Logic
Convergence of Common Proximal Methods for L1-Regularized Least Squares
A Facsimile Based Text Editor Using Handwritten Mark Recognition
Compositional Program Synthesis from Natural Language and Examples
Athanor: High-Level Local Search Over Abstract Constraint Specifications in Essence
A Probabilistic Framework for Recognizing Intention in Information Graphics
A Local Algorithm for Product Return Prediction in E-Commerce
Semantic Representation of Data Science Programs
Multi-view Spectral Clustering Network
Dual Active Learning for Both Model and Data Selection
Medical Concept Representation Learning from Multi-source Data
On the Logic of Theory Change Iteration of KM-Update, Revised
On the Semantics of Knowledge Update
Organizers and Sponsors
Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions
Negative Hyper-Resolution for Proving Statements Containing Transitive Relations
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
Multimodal Sentiment Analysis of Telugu Songs
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract)
Prioritized Defaults: Implementation by TMS and Application to Diagnosis
Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
Problem Splitting Using Heuristic Search in Landmark Orderings
Multimodal Storytelling via Generative Adversarial Imitation Learning
A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths
Finite Model Computation via Answer Set Programming
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
Stationary Deterministic Policies for Constrained MDPs with Multiple Rewards, Costs, and Discount Factors
Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
Learning and Communicating the Latent States of Human-Machine Collaboration
Bagging is an Optimal PAC Learner (Extended Abstract)
An Overview of a Procedural Approach to Semantic Networks
A New Logic of Beliefs: Monotonic and Non-Monotonic Beliefs - Part 1
Commitment and Effectiveness of Situated Agents
Securing and scaling cryptocurrencies
Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons
Game Redesign in No-regret Game Playing
Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning
UPML: A Framework for Knowledge System Reuse
TDG4Crowd: Test Data Generation for Evaluation of Aggregation Algorithms in Crowdsourcing
Video Summarization via Label Distributions Dual-Reward
BORIS - An In-Dept Understander of Narratives
Decision Trees in Numerical Attribute Spaces
Homogenization: Preparing Equations for Change of Unknown
Hybrid planning for challenging construction problems: An Answer Set Programming approach (Abstract Reprint)
Optional Deep Case Filling and Focus Control with Mental Images: ANTLIMA-KOREF
Balancing Two-Player Stochastic Games with Soft Q-Learning
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
Online Algorithm Selection
Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains
Α Descent-based Method on the Duality Gap for Solving Zero-sum Games
Exploiting Justifications for Lazy Grounding of Answer Set Programs
GAN-EM: GAN Based EM Learning Framework
Transfer Learning Using Task-Level Features with Application to Information Retrieval
Automatic Recognition of Emotional Subgroups in Images
Finding "Unexplained" Activities in Video
Marker-Passing and Microfeatures
Deep Adversarial Multi-view Clustering Network
Strategy-Proofness of Scoring Allocation Correspondences for Indivisible Goods
Synthesizing Good-Enough Strategies for LTLf Specifications
DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Bag-of-Embeddings for Text Classification
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression
Local Search for Balanced Submodular Clusterings
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
A Robot Planning Structure Using Production Rules
Incomplete Causal Laws in the Situation Calculus Using Free Fluents
Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs
A Feature-Based Scene Matcher
Data Repair of Inconsistent DL-Programs
Model-Based Genetic Algorithms for Algorithm Configuration
Learning a Value Analysis Tool for Agent Evaluation
Group-Invariant Cross-Modal Subspace Learning
What to Ask to an Incomplete Semantic Web Reasoner?
2013 Conference Organization
Multi-Dimensional Bid Improvement Algorithm for Simultaneous Auctions
Decision Making with Differential Privacy under a Fairness Lens
Planning for Temporally Extended Goals as Propositional Satisfiability
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss
An Intelligent Broker Agent for Energy Trading: An MDP Approach
The Extended Global Cardinality Constraint: An Empirical Survey: Extended Abstract
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World
AutoML for Outlier Detection with Optimal Transport Distances
How to Resolve Envy by Adding Goods
An Experiment in Measuring Understanding
A Framework for Longitudinal Influence Measurement between Communication Content and Social Networks
Learning by Analogy: A Classification Rule for Binary and Nominal Data
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint)
Equilibrium Behavior in Competing Dynamic Matching Markets
Early Diagnosis of Alzheimer's Disease Based on Deep Learning and GWAS
Formalizing Behavior-based Planning for Nonholonomic Robots
Complexity of Efficient Outcomes in Binary-Action Polymatrix Games and Implications for Coordination Problems
Reward Function Design in Multi-Agent Reinforcement Learning for Traffic Signal Control
Diversifying Convex Transductive Experimental Design for Active Learning
A New Logical framework for Deductive Planning
A "Small Leakage" Model for Diffusion Smoothing of Image Data
Perceptual Learned Video Compression with Recurrent Conditional GAN
Learning Minesweeper with Multirelational Learning
Multimodal Image Matching Based on Cross-Modality Completion Pre-training
The Downward Refinement Property
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks
Static Symmetry Breaking with the Reflex Ordering
Pay Me and I'll Follow You: Detection of Crowdturfing Following Activities in Microblog Environment
Incorporating Social Norms into a Configurable Agent-Based Model of the Decision to Perform Commuting Behaviour
Bounded-cost Search Using Estimates of Uncertainty
Learning Word Meanings From Examples
Convolutional Neural Networks for Sentiment Classification on Business Reviews
Complete Solution of the Eight-Puzzle and the Benefit of Node Ordering in IDA
The LISP7O Pattern Matching System
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm
Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication
Optimizing Constraint Solving via Dynamic Programming
Deep Automatic Natural Image Matting
Language Independent Sequence Labelling for Opinion Target Extraction (Extended Abstract)
Time-Oriented Features for Medical Consultation Systems
Diagnosing Tree Structured Systems
Agent-Based Computing: Promise and Perils
A Representation For Robot Plans
Analysis and Optimization of Multi-Dimensional Percentile Mechanisms
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network
Co-attention CNNs for Unsupervised Object Co-segmentation
Robust Low-Tubal-Rank Tensor Completion via Convex Optimization
Generalized Zero-Shot Text Classification for ICD Coding
Trembling-Hand Perfection in Extensive-Form Games with Commitment
Hierarchical Prompt Learning for Compositional Zero-Shot Recognition
Perceptual Organization and the Curve Partitioning Problem
Exploiting Interchangeabilities in Constraint-Satisfaction Problems
A Structure-Based Variable Ordering Heuristic for SAT
CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing
An Experimental Comparison of Multiwinner Voting Rules on Approval Elections
Natural language grammatical inference: a comparison of recurrent neural networks and machine learning methods
The Limits of Qualitative Simulation
On the Descriptional Complexity of Production Systems
Learning Task-aware Local Representations for Few-shot Learning
Rescuing Deep Hashing from Dead Bits Problem
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
CRYSTAL: Inducing a Conceptual Dictionary
Fast Concurrent Reinforcement Learners
Controlling Constraint Propagation