yusuke1997/dblp-id-title huggingface dataset:
External Memory Bidirectional Search
Online Support System for Mediator Education
Multiagent Planning with Partially Ordered Temporal Plans
A Formalization of Explanation-Based Macro-operator Learning
Hierarchical Self-supervised Augmented Knowledge Distillation
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation
Deep Recurrent Quantization for Generating Sequential Binary Codes
A Dataset and Model for Realistic License Plate Deblurring
Problems in Building an Instructable Production System
Multi-Modal Distance Metric Learning
Featured Argumentation Framework: Semantics and Complexity
On the Expressivity of Inconsistency Measures (Extended Abstract)
Weight-Enhanced Diversification in Stochastic Local Search for Satisfiability
Linking Heterogeneous Input Features with Pivots for Domain Adaptation
User Similarity from Linked Taxonomies: Subjective Assessments of Items
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension
Partial-Tree Linearization: Generalized Word Ordering for Text Synthesis
Early Active Learning via Robust Representation and Structured Sparsity
Most General Explanations of Tree Ensembles
Scalable Landmark Hub Labeling for Optimal and Bounded Suboptimal Pathfinding
Using Social and Pseudo Social Networks for Improved Recommendation Quality
An Automated Consultant for MACSYMA
Self-Supervised Vision for Climate Downscaling
A Probabilistic Approach to Marker Propagation
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data
Pure Nash Equilibria in Online Fair Division
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
Fully Nested Neural Network for Adaptive Compression and Quantization
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
From the Periphery to the Core: Information Brokerage in an Evolving Network
Extending Semantic Resolution via Automated Model Building: Applications
Representing Procedural Knowledge in Expert Systems: An Application to Process Control
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback
COMEX: A Commodities Support System
SandboxSocial: A Sandbox for Social Media Using Multimodal AI Agents
Understanding Collaborative Filtering with Galois Connections
A Rational Reconstruction and Extension of Recursion Analysis
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines
A Display Oriented Programmer's Assistant
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift
Two dimensional Large Margin Nearest Neighbor for Matrix Classification
Incremental Construction of Structured Hidden Markov Models
Labellings and Games for Extended Argumentation Frameworks
Multi-Graph Fusion Networks for Urban Region Embedding
Preferential Query Answering over the Semantic Web with Possibilistic Networks
Symmetric Non-negative Latent Factor Models for Undirected Large Networks
Scaling Active Search using Linear Similarity Functions
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
FRIL++ a Language for Object-Oriented Programming with Uncertainty
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition
A Model Of Human Cognitive Behavior in Writing Code For Computer Programs
Modelling and Reasoning for Indirect Sensing over Discrete-time via Markov Logic Networks
ADC-GS: Anchor-Driven Deformable and Compressed Gaussian Splatting for Dynamic Scene Reconstruction
A Mechanism for Dynamic Ride Sharing Based on Parallel Auctions
Latent Class Models for Collaborative Filtering
Agile Planning for Real-World Disaster Response
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models
Factored Upper Bounds for Multiagent Planning Problems under Uncertainty with Non-Factored Value Functions
Generating Hierarchical Semantic Networks Froma Natural Language Discourse
Learning Shape Descriptions
Evaluating an NLG System using Post-Editing
First Order Decision Diagrams for Relational MDPs
Behavior of Analogical Inference w.r.t. Boolean Functions
Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern
CAT: Customized Adversarial Training for Improved Robustness
To Give or Not to Give: Fair Division for Single Minded Valuations
Diffusion-aware Censored Gaussian Processes for Demand Modelling
Conservative Agency
Trading on a Rigged Game: Outcome Manipulation in Prediction Markets
Sequential Vaccine Allocation with Delayed Feedback
VEST: A System for Vulnerability Exploit Scoring & Timing
Character Recognition Using a Log-Autocorrelation Function
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach
An Expected-Cost Analysis of Backtracking and Non-Backtracking Algorithms
The Need for Referent Identification as a Planned Action
Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
Recurrent Neural Network for Text Classification with Multi-Task Learning
On Progression and Query Evaluation in First-Order Knowledge Bases with Function Symbols
Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification
Efficient Skill Learning using Abstraction Selection
Privacy and Artificial Agents, or, Is Google Reading My Email?
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects
P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation
Dual Policy Distillation
Fuzzy Representations in Neural Nets
Reflection Patterns for Interactive Knowledge Capture
Noise-Tolerant Instance-Based Learning Algorithms
CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion
Self-supervised Learning and Adaptation for Single Image Dehazing
Max-Margin DeepWalk: Discriminative Learning of Network Representation
A Hybrid Approach Based Sentiment Extraction from Medical Context
From Sampling to Model Counting
Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure
FACILE: Classifying Texts Integrating Pattern Matching and Information Extraction
Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser
Automatic Hypertext Keyphrase Detection
Search Versus Knowledge in Game-Playing Programs Revisited
Building a Fuzzy System for Opinion Classification Across Different Domains
An Inconsistency Tolerant Model for Belief Representation and Belief Revision
Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
Strengthening Schedules through Uncertainty Analysis Agents
How Relevant Are Chess Composition Conventions?
On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract
AUTOPILOT: A Distributed Planner for Air Fleet Control
Strong-Cyclic Planning when Fairness is Not a Valid Assumption
Learning A Deep ℓ ∞ Encoder for Hashing
Hierarchical Apprenticeship Learning for Disease Progression Modeling
Learning Short-Term Weights for GSAT
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
ANRL: Attributed Network Representation Learning via Deep Neural Networks
Strength calculation of rewards
Explanation Perspectives from the Cognitive Sciences - A Survey
Intersubjectivity and Sentiment: From Language to Knowledge
Representing the Context of Equivalent Query Words as a Means of Preserving Search Precision
High Resolution Feature Recovering for Accelerating Urban Scene Parsing
Hallucinating Optical Flow Features for Video Classification
Almost Group Envy-free Allocation of Indivisible Goods and Chores
Redesigning a Problem-Solver's Operations to Improve Solution Quality
Inferring Human Attention by Learning Latent Intentions
Topological Inference
SISP/1: An Interactive System Able to Synthesize Functions from Examples
Visual Path Planning by a Mobile Robot
Backbone Guided Local Search for Maximum Satisfiability
Makeup Like a Superstar: Deep Localized Makeup Transfer Network
Circumscribing Inconsistency
Explanation-Guided Reward Alignment
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
Repeated Auctions with Complementarities
Decoding the Underlying Meaning of Multimodal Hateful Memes
Exploiting Label Relationship in Multi-Label Learning
Informedness vs. Computational Cost of Heuristics in Iterative Repair Scheduling
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
Mechanism Design for Strategic Project Scheduling
Automated CPU Design by Learning from Input-Output Examples
Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection
CAP: A Context-Aware Neural Predictor for NAS
Qualitative Simulation of Genetic Regulatory Networks: Method and Application
Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves
IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007
Homogeneity analysis for object-action relation reasoning in kitchen scenarios
Simple Contrastive Multi-View Clustering with Data-Level Fusion
Fuzzy Causal Simulation in Process Engineering
A Practical Manipulator System
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization
A Distributed Case-Based Reasoning Application for Engineering Sales Support
AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey
Learning Swarm Behaviors using Grammatical Evolution and Behavior Trees
Incorporating Task-Related Information in Dimensionality Reduction of Neural Population Using Autoencoders
A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining
Personalized Mathematical Word Problem Generation
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT
Semi-Supervised Learning with Manifold Fitted Graphs
Conversational Control Interface to Facilitate Situational Understanding in a City Surveillance Setting
EG - A Case Study in Problem Solving with King and Pawn Endings
Transfer in Learning by Doing
Simplification and Abstraction of Kinematic Behaviors
Anonymizing k Facial Attributes via Adversarial Perturbations
Control in Computational Social Choice
A Hybrid Recursive Multi-Way Number Partitioning Algorithm
Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting (Extended Abstract)
Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, ITWP 2003, Acapulco, Mexico, August 11, 2003, Revised Selected Papers
An Examination of the Third Stage in the Analogy Process: Verification-based Analogical Learning
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract)
A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering
The Utility of Expert Knowledge
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
FireCast: Leveraging Deep Learning to Predict Wildfire Spread
Dynamically Imroving Explanations: A Revision-Based Approach to Explanation Generation
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, Washington, USA, August 4-10, 2001
Concurrent Programming of Intelligent Robots
Robotics in the Home, Office, and Playing Field
Using LLMs to Structure and Visualize Policy Discourse
IJCAI-07 Reviewers
Leveraging Unlabeled Data to Scale Blocking for Record Linkage
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
Planning and Reinforcement Learning for General-Purpose Service Robots
i, Poet: Automatic Poetry Composition through Recurrent Neural Networks with Iterative Polishing Schema
Three Facets of Scientific Discovery
Look-Ahead Value Ordering for Constraint Satisfaction Problems
Propositional Abduction is Almost Always Hard
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering
Agent-Based Control for Object Manipulation with Modular Self-reconfigurable Robots
Planning Multiple Epidemic Interventions with Reinforcement Learning
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network
Choosing the Right Algorithm With Hints From Complexity Theory
Disentangling Domain and General Representations for Time Series Classification
Parameterized Local Search for Max c-Cut
Adaptive Information Belief Space Planning
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey
AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances
Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections
Information Augmentation for Few-shot Node Classification
Welfare Maximization in Fractional Hedonic Games
Locality Preserving Matching
Optimized View and Geometry Distillation from Multi-view Diffuser
Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks
Conditional Self-Supervised Learning for Few-Shot Classification
Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis
Extracting Protein-Reaction Information from Tables of Unpredictable Format and Content in the Molecular Biology Literature
3D Object Representation and Matching with B-Splines and Surface Patches
A Survey on Universal Adversarial Attack
Semantical and Computational Aspects of Horn Approximations
Qualitative Structural Analysis Using Diagrammatic Reasoning
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds
A Fast-Adaptive Cognitive Diagnosis Framework for Computerized Adaptive Testing Systems
Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach
Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances
A Multidimensional Semantic Framework for Adaptive Hypermedia Systems
Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning
The Challenge of Imputation in Explainable Artificial Intelligence Models
Combining Learning and Word Sense Disambiguation for Intelligent User Profiling
Learning Topological Maps with Weak Local Odometric Information
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain
Gaussian Process Regression for Continuous Emotion Recognition with Global Temporal Invariance
New Balanced Active Learning Model and Optimization Algorithm
Contextual Default Reasoning
Toward Efficiency Trough Generality
Semantic annotation of unstructured and ungrammatical text
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility
M^2LLM: Multi-view Molecular Representation Learning with Large Language Models
Abstract Argumentation Frameworks with Domain Assignments
A Natural Language Question Answering System as a Participant in Human Q&A Portals
Learning High-Order Task Relationships in Multi-Task Learning
Toward a Model of Human Game Playing
Arbitrary Announcements in Propositional Belief Revision
Revisiting Preferences and Argumentation
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization
A Dual-layer CRFs Based Joint Decoding Method for Cascaded Segmentation and Labeling Tasks
Improved Knowledge Acquisition for High-Performance Heuristic Search
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights
On Optimal Game-Tree Search using Rational Meta-Reasoning
Concept Linking for Information Integration in Open Book and Sentinel
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning
WISE: Web-based Interactive Speech Emotion Classification
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model
Modeling Trajectories with Neural Ordinary Differential Equations
How to Change a Group's Collective Decision?
Using a Bayesian Network Induction Approach for Text Categorization
A Method to Implement Qualitative Knowledge in Multi-Layered Neural Networks
Semantics and Complexity of Abduction from Default Theories
Rule-Based Regression
Deduction-based Region-Use Planning
Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction
Arc Consistency for General Constraint Networks: Preliminary Results
Programming Resource-Bounded Deliberative Agents
nanoCoP: Natural Non-clausal Theorem Proving
An Exact Algorithm for Computing the Same-Decision Probability
Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract)
Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity
Deadlines, Travel Time, and Robot Problem Solving
An Approximate 0-1 Edge-Labeling Algorithm for Constrained Bin-Packing Problem
Learning Optimal Decision Trees with SAT
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World
On the Empirical Time Complexity of Random 3-SAT at the Phase Transition
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL
An Active Classification System for Context Representation and Acquisition
Motion Sketch: Acquisition of Visual Motion Guided Behaviors
Generation in a Natural Language Interface
Complexity Results for SAS+ Planning
Theorem Proving with Structure Sharing and Efficient Unification
A Class Library Implementation of a Principled Open Architecture Knowledge Representation Server with Plug-in Data Types
Effective Query Rewriting with Ontologies over DBoxes
A Macro Actor/Token Implementation of Production Systems on a Data-Mow Multiprocessor
A Logic-based Algorithm for Image Sequence Interpretation and Anchoring
Semantic Topic Multimodal Hashing for Cross-Media Retrieval
Group Decision Making via Probabilistic Belief Merging
Data-Driven Market-Making via Model-Free Learning
FasterVD: On Acceleration of Video Diffusion Models
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs
Epsilon Best Arm Identification in Spectral Bandits
Controlling Growing Tasks with Heterogeneous Agents
Multi-Modal Sarcasm Detection Based on Dual Generative Processes
Deep Propagation Based Image Matting
Factored Probabilistic Belief Tracking
On the Topology of Genetic Algorithms
Explicit Integration of Goals in Heuristic Algorithm Design
DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation
A Hybrid Neural Model for Type Classification of Entity Mentions
Methodology for Designing Reasonably Expressive Mechanisms with Application to Ad Auctions
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Multi-view Feature Learning with Discriminative Regularization
Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes
Maintaining Alternative Values in Constraint-Based Configuration
Long-Term Memory Networks for Question Answering
Qualitative Reasoning about Directions in Semantic Spaces
Three-quarter Sibling Regression for Denoising Observational Data
A Computational Framework for Granularity and its Application to Educational Diagnosis
Belief, Awareness, and Two-Dimensional Logic
Type-2 Fuzzy Uncertainty in Goal Programming
Imperfect-Information Games and Generalized Planning
A Learning Scheme for Generating Expressive Music Performances of Jazz Standards
CSP Search with Responsibility Sets and Kernels
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges
On Seeing Things, Again
On State-Dominance Criteria in Fork-Decoupled Search
Learning Embeddings for Sequential Tasks Using Population of Agents
Open-World Planning for Story Generation
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions
Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching
Task Allocation Via Coalition Formation Among Autonomous Agents
Learning Discriminative Representations from RGB-D Video Data
Self-Organizing Incremental Neural Networks for Continual Learning
Why We Go Where We Go: Profiling User Decisions on Choosing POIs
Convexity Certificates for Symbolic Tensor Expressions
Attributed Description Logics: Reasoning on Knowledge Graphs
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
Continual Multi-View Clustering with Consistent Anchor Guidance
Artificial Intelligence in the Concertgebouw
Knowledge-Driven Interpretation of ESCA Spectra
An Object-Oriented Data Model to Represent Uncertainty in Coupled Artificial Intelligence-Database Systems
Efficient Symbolic Integration for Probabilistic Inference
IRIS: A System for the Propogation of Inferences in a Semantic Net
Qualitative Kinematics: A Framework
S2SNet: A Pretrained Neural Network for Superconductivity Discovery
Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract)
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities
Large-scale Subspace Clustering by Fast Regression Coding
Reasoning About Knowledge and Action
Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems
A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models
Decomposition of the Factor Encoding for CSPs
The Impact of Treewidth on ASP Grounding and Solving
Upward Refinement for Conceptual Blending in Description Logic: An ASP-based Approach and Case Study in EL++
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
Probabilistic Temporal Logic for Reasoning about Bounded Policies
Exploring Computational User Models for Agent Policy Summarization
Self-Supervised Tuning for Few-Shot Segmentation
Relational Knowledge with Predictive State Representations
Efficient Inference for Expressive Comparative Preference Languages
Perturbation: A Means for Guiding Generalization
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
Probabilistic Robot Navigation in Partially Observable Environments
Fair and Efficient Resource Allocation with Partial Information
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering
MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning
Trust Based Recommender System for Semantic Web
Disentangling the Computational Complexity of Network Untangling
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI