yusuke1997/dblp-id-title huggingface dataset:
Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network
Anomaly Explanation
Characterizing Similarity of Visual Stimulus from Associated Neuronal Response
Action representation and partially observable planning using epistemic logic
Endogenous Boolean Games
Smart Contract Vulnerability Detection using Graph Neural Network
KNOBS: An Experimental Knowledge Based Tactical Air Mission Planning System and a Rule Based Aircraft Identification Simulation Facility
Extrapolating Paths with Graph Neural Networks
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs
Fitting Semantics for Conditional Term Rewriting
A Speech Understanding System Based Upon A Co-Routine Parser
Max Is More than Min: Solving Maximization Problems with Heuristic Search
On Identifying and Managing Relationships in Multi-Agent Systems
Constructing utility models from observed negotiation actions
Adversarial Oracular Seq2seq Learning for Sequential Recommendation
Reasoning about Disclosure in Data Integration in the Presence of Source Constraints
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Zeta*-SIPP: Improved Time-Optimal Any-Angle Safe-Interval Path Planning
Agents, Actions and Goals in Dynamic Environments
Perturbation Analysis with Qualitative Models
Pseudo-Label Reconstruction for Partial Multi-Label Learning
Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection
A Clause-Level Hybrid Approach to Chinese Empty Element Recovery
Thou Shalt Covet Thy Neighbor's Cake
Partial Constraints in Chinese Analysis
A epsilon - An Efficient Near Admissible Heuristic Search Algorithm
Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme
A Survey of Machine Learning-Based Physics Event Generation
On Approximating Total Variation Distance
VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities
Extending Computer Assisted Assessment Systems with Natural Language Processing, User Modeling, and Recommendations Based on Human Computer Interaction and Data Mining
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
Totally Dynamic Hypergraph Neural Networks
Learning Visual Symbols for Parsing Human Poses in Images
Evidential Probability
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning
Reasoning with Knowledge, Action and Time in Dynamic and Uncertain Domains
GOALEM from Prague
Towards Fully 8-bit Integer Inference for the Transformer Model
EVE: Efficient Zero-Shot Text-Based Video Editing With Depth Map Guidance and Temporal Consistency Constraints
A Computational Model for Causal and Diagnostic Reasoning in Inference Systems
An Empirical Study of Seeding Manipulations and Their Prevention
Learning Pareto Set for Multi-Objective Continuous Robot Control
Convolutional Neural Tensor Network Architecture for Community-Based Question Answering
Creativity and Artificial Intelligence
iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning
FQHT: The Logic of Stable Models for Logic Programs with Intensional Functions
A Universal Measure of Intelligence for Artificial Agents
The Architecture of Coherent Information System: A General Problem Solving System
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction
UML as an Ontology Modelling Language
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Optimization of Probabilistic Argumentation with Markov Decision Models
A Stochastic Approach to Qualitative Simulation using Markov Processes
The Interaction of Observation and Inference in a Formal Representation System
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces
The Complexity of Learning Separable ceteris paribus Preferences
Structured Planning and Debugging
Data Ownership and Privacy in Personalized AI Models in Assistive Healthcare
AutoBandit: A Meta Bandit Online Learning System
Scaling up Self-Explanatory Simulators: Polynomial-time Compilation
Mining Longitudinal Network for Predicting Company Value
A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic
Proceedings of the IJCAI-05 Workshop on Modeling and Retrieval of Context Edinburgh, July 31 - August 1, 2005
FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending
Multimodal Inference with Incremental Tabular Attributes
A Cognitive Agent Model Displaying and Regulating Different Social Response Patterns
FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)
Solving Analogies on Words based on Minimal Complexity Transformation
Estimating the size of search trees by sampling with domain knowledge
Document-level Relation Extraction via Subgraph Reasoning
SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching
Almost Envy-Freeness in Group Resource Allocation
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning
Hierarchical Multi-channel Hidden Semi Markov Models
Learning Planning Heuristics through Observation
Unsupervised Rank Aggregation with Domain-Specific Expertise
A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract)
Eliciting Honest Reputation Feedback in a Markov Setting
Dynamic Probabilistic Relational Models
A Logical Framework for Modularity of Ontologies
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices
An Architecture for Visualizing the Execution of Parallel Logic Programs
Public Event Scheduling with Busy Agents
On Tight Logic Programs and Yet Another Translation from Normal Logic Programs to Propositional Logic
Formal Analysis of Deep Binarized Neural Networks
KitcheNette: Predicting and Ranking Food Ingredient Pairings using Siamese Neural Network
Bayesian Active Edge Evaluation on Expensive Graphs
Visual Analog Representations for Natural Languages Understanding
Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions
Distilling A Universal Expert from Clustered Federated Learning
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
A Survey of Pathology Foundation Model: Progress and Future Directions
Graph-based Dynamic Word Embeddings
Generalizations Based on Explanations
The Place of Fuzzy Logic in AI
Run-Time Improvement of Point-Based POMDP Policies
Distributed Constraint Optimization Problems Related with Soft Arc Consistency
Qualitative Model Evolution
The Role of Saliency in Generating Natural Language Arguments
Dynamic Flows on Curved Space Generated by Labeled Data
A Scanning Laser Rangefinder for a Robotic Vechicle
Subgoal Protection and Unraveling During Plan Synthesis
Three Generalizations of the FOCUS Constraint
Target-Dependent Twitter Sentiment Classification with Rich Automatic Features
CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction
Efficient Computation of Jointree Bounds for Systematic MAP Search
Goal Conflict Concerns
Determining Winners in Elections with Absent Votes
A Near-Optimal Poly-Time Algorithm for Learning a class of Stochastic Games
Interactive Image Segmentation via Pairwise Likelihood Learning
Ceteris paribus majority for social ranking
Curriculum Adversarial Training
Learning Compact Visual Descriptor for Low Bit Rate Mobile Landmark Search
Sense Induction in Folksnonomies
Computer Perception of Complex Patterns
Algorithmic Improvements in Approximate Counting for Probabilistic Inference: From Linear to Logarithmic SAT Calls
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
Bargaining Between Goals
WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows
MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing
Heuristics and Really Hard Instances for Subgraph Isomorphism Problems
Optimal Multi-Attribute Decision Making in Social Choice Problems
Programming in Autoepistemic Logic
Parallel-Serial Production Systems with Many Working Memories
Ridesharing with Driver Location Preferences
Revisiting Regression in Planning
Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering
Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations
Solving Hard Subgraph Problems in Parallel
On Combining Decisions from Multiple Expert Imitators for Performance
Differentiable Economics for Randomized Affine Maximizer Auctions
Large Margin Boltzmann Machines
Learning Model Rules From High-Speed Data Streams
A Conversational Approach to Process-oriented Case-based Reasoning
Joint Partial Optimal Transport for Open Set Domain Adaptation
A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets
A Text Scanning Mechanism Simulating Human Reading Process
Active Learning Based on Local Representation
Where Is Your Place, Visual Place Recognition?
Persistence Bag-of-Words for Topological Data Analysis
Depth from Edge and Intensity Based Stereo
Naive Kinematics: One Aspect of Shape
A Logic Representation of Manufacturing Control
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Market-Based Allocation with Indivisible Bids
Incremental Syntactic and Semantic Processing
Self-paced Convolutional Neural Networks
Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All
Sequence Clustering Methods and Completeness of Biological Database Search
Network Learning on the Connection Machine
Solving Heads-Up Limit Texas Hold'em
Multi-Agent Path Finding on Ozobots
Plan Debugging in an Intentional System
Personalized Diagnosis for Over-Constrained Problems
Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict
The Use of Neural Network Approach in Financial Asset Management
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
Massively Parallel Support for Efficient Knowledge Representation
Induction of Interpretable Possibilistic Logic Theories from Relational Data
Beyond Individual and Point: Next POI Recommendation via Region-aware Dynamic Hypergraph with Dual-level Modeling
Parsing Directly into Knowledge Structures
Multi-Objective Reinforcement Learning for Designing Ethical Environments
Ghosts in the Machine: An AI Treatment of Medieval History
Solving Graph Homomorphism and Subgraph Isomorphism Problems Faster Through Clique Neighbourhood Constraints
Quantum Computation and Image Processing: New Trends in Artificial Intelligence
Ranking-based Argumentation Semantics Applied to Logical Argumentation
What Does My GNN Really Capture? On Exploring Internal GNN Representations
TutorialPlan: Automated Tutorial Generation from CAD Drawings
Food category transfer with conditional cycleGAN and a large-scale food image dataset
Online Planning for Ad Hoc Autonomous Agent Teams
Greedy Learning of Generalized Low-Rank Models
Learning Latest Classifiers without Additional Labeled Data
A Parallel Logic Programming Language for PEPSys
Reasoning about Deduction with Unknown Constants
A Formal Approach for Cautious Reasoning in Answer Set Programming (Extended Abstract)
Crowdsourcing via Tensor Augmentation and Completion
Defining Salience in Case-Based Arguments
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
Form Dynamic Programming To Search Algorithms With Functional Costs
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
Protocol Analysis as a Task for Artificial Intelligence
Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment
A Constructive Approach to Independent and Evidence Retaining Belief Revision by General Information Sets
An On-Line Algorithm for Semantic Forgetting
SPAGAN: Shortest Path Graph Attention Network
A Computationally-Grounded Semantics for Artifact-Centric Systems and Abstraction Results
Symbolic LTLf Synthesis
Greedy Convex Ensemble
LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018, Stockholm, Sweden, July 13-14, 2018
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
An Application of the Photometric Stereo Method
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
Grand Challenge AI Applications
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing
An Image-enhanced Molecular Graph Representation Learning Framework
Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems
What kind of graphical model is the brain?
Gapformer: Graph Transformer with Graph Pooling for Node Classification
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
Integration of Syntactic, Semantic and Contextual Information in Processing Grammatically Ill-Formed Inputs
Faster Association Rules for Multiple Relations
Detection of Imperative and Declarative Question-Answer Pairs in Email Conversations
Label Leakage in Vertical Federated Learning: A Survey
Personalized Sentiment Classification Based on Latent Individuality of Microblog Users
Automatic Noisy Label Correction for Fine-Grained Entity Typing
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies
Capturing a Musician's Groove: Generation of Realistic Accompaniments from Single Song Recordings
A New Perspective on Stable Models
Acquisition of Procedural Knowledge from Domain Experts
General Game Learning Using Knowledge Transfer
Span-based Unified Named Entity Recognition Framework via Contrastive Learning
Learning Subjective Representations for Planning
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
A Monte Carlo Tree Search approach to Active Malware Analysis
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment
Determining What to Learn Through Component-Task Modeling
Interactive Disambiguation of Natural Language Input: a Methodology and Two Implementatioons for French and English
Prolog Control Rules
Webly-Supervised Fine-Grained Recognition with Partial Label Learning
Soundness and Completeness Theorems for Three Formalizations of Action
Partial Grounded Fixpoints
A Classification of First-Order Progressable Action Theories in Situation Calculus
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship
Omniscient Debugging for Cognitive Agent Programs
Computer Games - 6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks
AutoSurvey: Automatic Survey Generation based on a Research Draft
Query-Driven Constraint Acquisition
Understanding the Effect of Bias in Deep Anomaly Detection
Towards a Possibilistic Logic Handling of Preferences
Combining Structural Descriptions and Image-based Representations for Image, Object, and Scene Recognition
Probabilistic Consistency Boosts MAC and SAC
Approximately Stable Pricing for Coordinated Purchasing of Electricity
Rapid Performance Gain through Active Model Reuse
Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position
DeepShade: Enable Shade Simulation by Text-conditioned Image Generation
Bounded Intention Planning
An Effective Ship Berthing Algorithm
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation
Towards Discriminative Representation Learning for Speech Emotion Recognition
A Convolutional Neural Network For Ranking Advice Quality In Texts For A Motivational Dialogue System
3D-Aided Deep Pose-Invariant Face Recognition
Pattern Classification of the Grasped Object by the Artificial Hand
Spatial Processes for Recommender Systems
Testing Edges by Truncations
When owl: sameAs isn't the Same Redux: A preliminary theory of identity and inference on the Semantic Web
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation
Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning
DeepFacade: A Deep Learning Approach to Facade Parsing
GUNSAT: A Greedy Local Search Algorithm for Unsatisfiability
Most Specific Generalizations w.r.t. General EL-TBoxes
PI-Bully: Personalized Cyberbullying Detection with Peer Influence
EXAMINER: A System Using Contextual Knowledge for Analysis of Diagnostic Behavior
Deep Multi-species Embedding
Social Norms for Self-Policing Multi-agent Systems and Virtual Societies
Budget-Constrained Coalition Strategies with Discounting
On Middle Grounds for Preference Statements
The Model Inference System
Improving DCNN Performance with Sparse Category-Selective Objective Function
Interactive, Collaborative Robots: Challenges and Opportunities
Proceedings of the First Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2020 International Joint Conference on Artificial Intelligence - Pacific Rim Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Online, January 7-8, 2021
Full Polynomial Probabilistic FCA-Based Knowledge Extraction
TELECOM and AI: The Emperors New Clothes?
On the Conditional Logic of Simulation Models
Map Matching with Inverse Reinforcement Learning
Optimization Under Epistemic Uncertainty Using Prediction
A Survey on Using Gaze Behaviour for Natural Language Processing
Domain Adaptation via Transfer Component Analysis
An Ontology-Based Coaching Solution for Increasing Self-Awareness of Own Functional Status
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Neuro-Symbolic Verification of Deep Neural Networks
Unsupervised Deep Graph Structure and Embedding Learning
Proceedings of the IJCAI-01 Workshop on Ontologies and Information Sharing Seattle, USA, August 4-5, 2001
Explaining Deep Classification of Time-Series Data with Learned Prototypes
Equilibria in Ordinal Games: A Framework based on Possibility Theory
Scalable Maintenance of Knowledge Discovery in an Ontology Stream
Graph Propagation Transformer for Graph Representation Learning
Minimal Change and Maximal Coherence for Epistemic Logic Program Updates
Learning Attributed Graph Representation with Communicative Message Passing Transformer
SSTrack: Sample-interval Scheduling for Lightweight Visual Object Tracking
Efficiently Executing Information-Gathering Plans
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis
Sampling for Approximate Maximum Search in Factorized Tensor
Scalable Mechanism Design for Multi-Agent Path Finding
Participatory Budgeting Project Strength via Candidate Control
Graph-Based Inverse Optimal Control for Robot Manipulation
Investigating and Explaining the Frequency Bias in Image Classification
MSMAR-RL: Multi-Step Masked-Attention Recovery Reinforcement Learning for Safe Maneuver Decision in High-Speed Pursuit-Evasion Game
Reasoning About Hidden Mechanisms
Recognizable Information Bottleneck
Fast Recursive Low-rank Tensor Learning for Regression
A Locomotion Control System for Mobile Robots
A New Framework for Reasoning about Points, Intervals and Durations
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
An Expert Advisor for Photolithography
Deep Embedding Clustering Driven by Sample Stability
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems
AI4TRT: Automatic Simulation of Teeth Restoration Treatment
PG3: Policy-Guided Planning for Generalized Policy Generation
An Approximate Solver for Symbolic Equations
Large Language Models Are Not Strong Abstract Reasoners
Crafting Efficient Neural Graph of Large Entropy
Strategic Candidacy Games with Lazy Candidates
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
Combining Weak Knowledge Sources for Sense Disambiguation
AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning
Hypertree-decomposition via Branch-decomposition
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
Technical, Hard and Explainable Question Answering (THE-QA)
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views
An Intelligent Information System for Criminal Case Management in the Federal Courts
Constraint Detection in Natural Language Problem Descriptions
Optimizing Viscous Democracy
Balance between Complexity and Quality: Local Search for Minimum Vertex Cover in Massive Graphs
Foundations of Declarative Data Analysis Using Limit Datalog Programs
Polynomial-Time Relational Probabilistic Inference in Open Universes
Learning Discriminative Features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
A Hybrid Ontology Directed Feedback Selection Algorithm for Supporting Creative Problem Solving Dialogues
Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification
Anchor-PROMPT: Using Non-Local Context for Semantic Matching
Graph Neural Networks for Brain Graph Learning: A Survey
Combining Local Search and Look-Ahead for Scheduling and Constraint Satisfaction Problems
Integrating Ontologies for Context-based Constraint-based Planning
The Value of Observation for Monitoring Dynamic Systems
Description Logic TBoxes: Model-Theoretic Characterizations and Rewritability
Exploiting Symmetries by Planning for a Descriptive Quotient
Relational Triple Extraction: One Step is Enough
Acoustic NLOS Imaging with Cross Modal Knowledge Distillation
Hypergraph Structure Learning for Hypergraph Neural Networks
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning
Estimating Reference Evapotranspiration for Irrigation Management in the Texas High Plains
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward)
Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion
Theorem Proving with Structured Theories
Complexity Results for Checking Equivalence of Stratified Logic Programs
An Architecture for Safe Evacuation Route Recommendation in Smart Spaces
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search