yusuke1997/dblp-id-title huggingface dataset:
A Hybrid Agent for Automatically Determining and Extracting the 5Ws of Filipino News Articles
AI for Conservation: Aerial Monitoring to Learn and Plan against Illegal Actors
Backdoor DNFs
Multi-Agent Assumption-Based Planning
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels
Non-expansive Fuzzy ALC
Visual Similarity Attention
Robustness in Single-Audience Value-based Abstract Argumentation: Complexity Results
A Dataset Complexity Measure for Analogical Transfer
Few-Shot Learning on Graphs
An Active Learning Approach to Home Heating in the Smart Grid
Learning on the Phase Transition Edge
Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification
Anytime Sorting Algorithms
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024
Digitalized Cognitive Assessment mediated by a Virtual Caregiver
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder
Implicit Prompt Learning for Image Denoising
Domain Adaptation for Learning from Label Proportions Using Self-Training
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces
Multiple Antenna Array Signal Collecting and Processing
Bidirectional Answer Set Programs with Function Symbols
A Collective Of Algorithms
Automated Detection of Pre-training Text in Black-box LLMs
Optimal Incremental Preference Elicitation during Negotiation
Fundamentals of Fuzzy Logical Circuits
Most Probable Explanation in Probabilistic Answer Set Programming
Proportionally Fair Online Allocation of Public Goods with Predictions
Inconsistency Handling in DatalogMTL
Evaluation and Selection of Context Information
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)
Robust Joint Discriminative Feature Learning for Visual Tracking
Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain
Eliciting Additive Reward Functions for Markov Decision Processes
ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting
Situated Grounded Word Semantics
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning
Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
On Finding a Solution in Temporal Constraint Satisfaction Problems
Computer-Aided Grammar Acquisition in the Chinese Understanding System CUSAGA
Summary Markov Models for Event Sequences
OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models
Anaphora and Logical Form: On Formal Meaning Representations for Natural Language
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas
Building Expressive and Tractable Probabilistic Generative Models: A Review
Foundations for Uniform Interpolation and Forgetting in Expressive Description Logics
KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping
A Distributed Cooperative Agents Architecture for Software Development
Belief Propagation Network for Hard Inductive Semi-Supervised Learning
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
A General Notion of Equivalence for Abstract Argumentation
A Simple Model to Generate Hard Satisfiable Instances
Using Reciprocity to Adapt to Others
Characterizing Causal Action Theories and Their Implementations in Answer Set Programming: Action Languages B, C, and Beyond
Regarding Jump Point Search and Subgoal Graphs
Constructive Inductive Logic Programming
GSN: A Graph-Structured Network for Multi-Party Dialogues
Modeling Command Entities
Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning
Searching Game Trees in Parallel Using SSS
Getting the Most Out of Pattern Databases for Classical Planning
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks
IMO^3: Interactive Multi-Objective Off-Policy Optimization
On the Pursuit of EFX for Chores: Non-existence and Approximations
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
Recommending Links to Maximize the Influence in Social Networks
Overview of the Programmer's Apprentice
Location-Based Activity Recognition using Relational Markov Networks
Multi-View K-Means Clustering on Big Data
Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement Estimation
What Can We Learn From MIMO Graph Convolutions?
System Organizations for Speech Understanding: Implications of Network and Multiprocessor Computer Architecture for AI
KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization
Performance Evaluation of the Inference Structure in Expert System
Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI 79, Tokyo, Japan, August 20-23, 1979, 2 Volumes
On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics
The Logic of Time Structures: Temporal and Nonmonotonic Features
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion
Equilibrium Analysis of the Possibilities of Unenforced Exchange in Multiagent Systems
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments
Prediction of Mild Cognitive Impairment Conversion Using Auxiliary Information
Orientation-Independent Chinese Text Recognition in Scene Images
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
TOTF: Missing-Aware Encoders for Clustering on Multi-View Incomplete Attributed Graphs
Embracing Change by Abstraction Materialization Maintenance for Large ABoxes
Evolving Families of Shapes
Alternatives for Classifier System Credit Assignment
Compromise-free Pathfinding on a Navigation Mesh
DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?
Use of Thematic Information to Speed Search of Semantic Nets
Pay Attention to the Keys: Visual Piano Transcription Using Transformers
MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance
Inference and Learning for Probabilistic Description Logics
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems
An Ambiguity Aversion Framework of Security Games under Ambiguities
Towards More Intelligent Mobile Search
Solving Factored MDPs via Non-Homogeneous Partitioning
Online Deep Learning: Learning Deep Neural Networks on the Fly
Dynamic Selection of Ontological Alignments: A Space Reduction Mechanism
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator
Feature Enhancement in Attention for Visual Question Answering
Learning Interpretable Models in the Property Specification Language
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract)
Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1
Recognition Using Semantic Constraints
Towards an Ontological Analysis of Powertypes
Grid Imbalance Prediction Using Particle Swarm Optimization and Neural Networks
Context-Specific and Multi-Prototype Character Representations
SCVBench: A Benchmark with Multi-turn Dialogues for Story-Centric Video Understanding
Counting, Sampling, and Synthesis: The Quest for Scalability
Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation
Deep Subspace Clustering with Sparsity Prior
Concept Learning by Experiment
The Superiority of Relative Criteria in Partial Matching and Generalization
A Soft Global Precedence Constraint
TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization
Learning Probabilities for Noisy First-Order Rules
Belief Management for High-Level Robot Programs
Speeding Up Inference in Markov Logic Networks by Preprocessing to Reduce the Size of the Resulting Grounded Network
Curb Your Theory! A Circumspective Approach for Inclusive Interpretation of Disjunctive Information
Building Personalized Simulator for Interactive Search
Average-Reward Decentralized Markov Decision Processes
Weighted Maxmin Fair Share Allocation of Indivisible Chores
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India
Complementary Binary Quantization for Joint Multiple Indexing
Constructing Abstraction Hierarchies Using a Skill-Symbol Loop
An Index Navigator for Understanding and Expressing User's Coherent Interest
A Core Method for the Weak Completion Semantics with Skeptical Abduction (Extended Abstract)
Temporal Planning with Semantic Attachment of Non-Linear Monotonic Continuous Behaviours
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
Contract Design for Energy Demand Response
Detection of Homogeneous Regions by Structural Analysis
Reducing Communication for Split Learning by Randomized Top-k Sparsification
An Interpreter For The Programming Languages Predicate Logic
A Knowledge-Based Interactive Robot-vision System
Incorporating Structural Information for Better Coreference Resolution
Deep Graph Matching for Partial Label Learning
A Panel on AI and Databases
Geometric Transformer for End-to-End Molecule Properties Prediction
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
An AI-empowered Visual Storyline Generator
Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition
Meta-Level Knowledge: Overview and Applications
Making Sense of Raw Input (Extended Abstract)
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
Dialogue Management for Rule-Based Tutorials
Semantic Inference in Natural Language: Validating a Tractable Approach
Heterogeneity in the Coevolved Behaviors of Mobile Robots: The Emergence of Specialists
Approximate Algorithms for Stochastic Network Design
MERIT: Learning Multi-level Representations on Temporal Graphs
Efficient Sequential Model-Based Fault-Localization with Partial Diagnoses
Breaking the Curse of Dimensionality for Machine Learning on Genomic Data
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
Grasp Planning from Human Prehension
An MCMC Approach to Solving Hybrid Factored MDPs
Exploiting 2D Topology in Labeling Polyhedral Images
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
On the Implementation of AMBIT/G: A Graphical Programming Language
A Generalization of the k-Nearest Neighbor Rule
Combining Spatial and Temporal Aspects of Prediction Problems to Improve Prediction Performance
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw
A Comparative Survey: Benchmarking for Pool-based Active Learning
Expressive Power-Based Resource Allocation for Data Centers
Demand and Requirements for Natural Language Systems - Results of an Inquiry
Fast and Parallel Decomposition of Constraint Satisfaction Problems
Neural Discourse Segmentation
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Mechanism Design with Partial Revelation
Grammatical Functions, Discourse, Referents, and Quantification
Interactive Planning-Based Hypothesis Generation with LTS++
Evidential Reasoning and Learning: a Survey
Full Scaling Automation for Sustainable Development of Green Data Centers
Using Classification as a Programming Language
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
Neural Capacitated Clustering
Reasoning About Assumptions in Graphs of Models
Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer
Convolutional Memory Blocks for Depth Data Representation Learning
Active Learning for Level Set Estimation
A Fault Detection and Isolation Method Applied to Liquid Oxygen Loading for the Space Shuttle
Fairness via Group Contribution Matching
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control
Optimal Complex Task Assignment in Service Crowdsourcing
Acquisition of Ontological Knowledge from Canonical Documents
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics
Cross-Scale Domain Adaptation with Comprehensive Information for Pansharpening
Deductive Modeling of Human Cognition
Temporal Logic Programming with Metric and Past Operators
A dynamic approach to paradigm-driven analogy
Lazy Associative Graph Classification
A Naming System for "The Internet of Things" Adapted to Industry - A Case Study in Electrical Engineering
A Retrospective View of the Hearsay-II Architecture
Making Cognitive Map of Outdoor Environment
Web Intelligence (WI): What Makes Wisdom Web?
Multi-agent Epistemic Planning with Common Knowledge
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers
Leveraging generative models to characterize the failure conditions of image classifiers
WEFE: The Word Embeddings Fairness Evaluation Framework
Approximately EFX Allocations for Indivisible Chores
The Theorem Prover Using a Parallel Processing System
Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding
Grounding Methods for Neural-Symbolic AI
Grounded Models as a Basis for Intuitive Reasoning
Structuring Techniques for Constraint Satisfaction Problems
Not a Number: Identifying Instance Features for Capability-Oriented Evaluation
FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records
A Finite-State Controller Based Offline Solver for Deterministic POMDPs
A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records
Ontology Repair Through Partial Meet Contraction
Line Orthogonality in Adjacency Eigenspace with Application to Community Partition
Enhancing the Logical Reasoning Abilities of Large Language Models
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
On the Declarative Semantics of Inheritance Networks
Distributed Nested Rollout Policy for SameGame
Video Frame Interpolation with Densely Queried Bilateral Correlation
Brand X: LISP Suport for Semantic Networks
Constraints First: A New MDD-based Model to Generate Sentences Under Constraints
Knowledge Management in Corporations - Synergy Between People and Technology. Barriers and Benefits of Implementation
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Inferring the Direction of the Sun from Intensity Values on a Generalised Cone
Network Truth Maintenance for Deduction and Modelling
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation
On the challenges of balancing privacy and utility of open health data
Personnel Scheduling as Satisfiability Modulo Theories
Introspective Forecasting
Fashion Coordinates Recommender System Using Photographs from Fashion Magazines
Hierarchical Diffusion Scattering Graph Neural Network
Towards Reading Comprehension for Long Documents
A System which Automatically Improves Programs
SOFIA: How to Make FCA Polynomial?
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021
Influence Maximization with an Unknown Network by Exploiting Community Structure
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
Domain Adversarial Learning for Color Constancy
Using Strategic Logics to Reason about Agent Programs
Hybrid Local Causal Discovery
Knowing-How under Uncertainty (Extended Abstract)
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values
A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities
EEGNAS: Neural Architecture Search for Electroencephalography Data Analysis and Decoding
Playing Card-Based RTS Games with Deep Reinforcement Learning
Direct Policy Iteration with Demonstrations
Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence
Fair Distribution of Delivery Orders
Multi-instance multi-label active learning
Document-level Relation Extraction as Semantic Segmentation
Probabilistic Argument Maps for Intelligence Analysis: Capabilities Underway
Aesthetic Guideline Driven Photography by Robots
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization
Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration
Learning-Based Tracking-before-Detect for RF-Based Unconstrained Indoor Human Tracking
Sinkhorn Regression
Fuzzy Logic and the Resolution Principle
Airdrop Games
A Man-Machine Theorem-Proving System
AI Planning for Hybrid Systems
Relational Proportions Between Objects and Attributes
Marginal Posterior Sampling for Slate Bandits
Analysis of an Extended Concept-Learning Task
Interval-based Temporal Reasoning with General TBoxes
Algorithmic Fairness in Distribution of Resources and Tasks
Generating Hard Random Boolean Formulas and Disjunctive Logic Programs
Query Understanding through Knowledge-Based Conceptualization
Purely Declarative Action Descriptions are Overrated: Classical Planning with Simulators
On Principled Entropy Exploration in Policy Optimization
Applications and Extensions of PTIME Description Logics with Functional Constraints
Stance Classification with Target-specific Neural Attention
Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information
Semantic Framework for Industrial Analytics and Diagnostics
Identifying Noise Variables in Singular Decisions using Counterfactual Reasoning
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
Tri-Party Deep Network Representation
Action Space Learning for Heterogeneous User Behavior Prediction
Symbolic Execution of the Gist Specification Language
Multi-agent Attentional Activity Recognition
A Lattice Machine Approach to Automated Casebase Design: Marrying Lazy and Eager Learning
Manipulation in Group Argument Evaluation
Landmark Selection for Zero-shot Learning
Constrainted Object Hierarchy - An Architecture for Intelligent Systems
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
Average-Reward Reinforcement Learning with Trust Region Methods
Scalable Probabilistic Causal Structure Discovery
Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance
Demand-Driven Discovery of Adaptation Knowledge
Separating learning and representation
Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency
Partial Multi-Label Learning via Multi-Subspace Representation
A Cloaking Mechanism to Mitigate Market Manipulation
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers
IJCAI-07 Awards and Distinguished Papers
Medical Neural Architecture Search: Survey and Taxonomy
UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block
Neural Abstractive Summarization with Structural Attention
Artificial Intelligence and Macro-Economy, An Application
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation
On the Expressivity of Markov Reward (Extended Abstract)
Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading
Trust Modeling for Opinion Evaluation by Coping with Subjectivity and Dishonesty
An Algorithm for Reasoning About Equality
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing
Joint Input and Output Coordination for Class-Incremental Learning
Computational Properties of Resolution-based Grounded Semantics
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
On Adaptivity and Safety in Sequential Decision Making
How to Facilitate the Proof of Theorems by Using the Induction-matching, and by Generalization
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning
On the Decidability of HTN Planning with Task Insertion
Symbols and Subsymbols for Representing Knowledge: A Catalogue Raisonné
On the Complexity of Enumerating the Extensions of Abstract Argumentation Frameworks
QUALTES: A Domain Specific Tool for Electric Power Stations
Predictor: An Alternative Approach to Uncertain Inference in Expert Systems
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
Domain-Dependent Single-Agent Search Enhancements
The Use of a Semantic Network in a Deductive Question-Answering System
Specular Stereo
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP
Diagrammatic Proofs
A Data-Driven Approach to Infer Knowledge Base Representation for Natural Language Relations
FERM: A FEature-space Representation Measure for Improved Model Evaluation
An Association-based Fusion Method for Speech Enhancement
Toward a Probabilistic Formalization of Case-Based Inference
Zero-shot Quantization: A Comprehensive Survey
Interaction-based ontology alignment repair with expansion and relaxation
Time Aware Task Delegation in Agent Interactions for Video-Surveillance
Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback
Randomized Sensing in Adversarial Environments
Smart PCA
Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)
Multi-Agent Subset Space Logic
A Knowledge-Based Approach to Using Efficiency Estimation in Program Synthesis
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization
Artificial 3D Vision
A Versatile Computer-Controlled Assembly System
Symmetry Analysis of Two-Dimensional Patterns for Computer Vision
Learning to Converse with Noisy Data: Generation with Calibration
Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights
Count-Based Frequency Estimation with Bounded Memory
Lexical Ambiguity as a Touchstone for Theories of Language Analysis
EmbedMask: Embedding Coupling for Instance Segmentation
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
Bounded Predicates in Description Logics with Counting
Monte-Carlo Fork Search for Cooperative Path-Finding
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints
A Formal Approach to the Semantics of a Frame Data Model