yusuke1997/dblp-id-title huggingface dataset:
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
Are Spiking Neural Networks Useful for Classifying and Early Recognition of Spatio-Temporal Patterns?
Leave-One-Out Support Vector Machines
Machine-generated Explanations of Engineering Models: A Compositional Modeling Approach
One-step Spiking Transformer with a Linear Complexity
Ontology Reasoning with Deep Neural Networks (Extended Abstract)
On Robust Trimming of Bayesian Network Classifiers
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Matchings with Group Fairness Constraints: Online and Offline Algorithms
Local Translation Prediction with Global Sentence Representation
Trend-Based Prediction of Spatial Change
Generating English plural determiners from semantic representations: a neural network learning approach
Deep Multi-view Subspace Clustering with Anchor Graph
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
Learning Efficient Truthful Mechanisms for Trading Networks
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity
D3ETR: Decoder Distillation for Detection Transformer
Meta Label Correction with Generalization Regularizer
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
Self-Supervised Video Action Localization with Adversarial Temporal Transforms
Global/Local Dynamic Models
Artificial Intelligence in the Personal Computer Environment, Today and Tomorrow
Hierarchical Task Network Planning with Task Insertion and State Constraints
Equality Elimination for the Inverse Method and Extension Procedures
From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning
Federated Multi-View Clustering via Tensor Factorization
Handling Uncertainty, Context, Vague Predicates, and Partial Inconsistency in Possibilistic Logic
NON-VONs Applicability to Three AI Task Areas
Unbiased Assesment of Learning Algorithms
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Learning Robust Representations for Data Analytics
A Unified Model for the Two-stage Offline-then-Online Resource Allocation
Cognitive Aspects in Epistemic Logic L-DINF
Alternating Epistemic Mu-Calculus
CausVSR: Causality Inspired Visual Sentiment Recognition
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
Multiple Path Coordination for Mobile Robots: A Geometric Algorithm
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract)
Managing Communication Costs under Temporal Uncertainty
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds
Only Knowing Meets Common Knowledge
Biologically-Inspired Self-Assembly of Two-Dimensional Shapes Using Global-to-Local Compilation
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data
Q-TRANS: Query Translation Into English
Automating the Construction of Patchers That Satisfy Global Constraints
XOR-Sampling for Network Design with Correlated Stochastic Events
Belief, Awareness, and Limited Reasoning: Preliminary Report
Towards Conflictual Narrative Mechanics
Aerial Coverage Path Planning in Nuclear Emergencies
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata
Operationalizing Heuristics: Some AI Methods for Assisting AI Programming
Exploration Based Language Learning for Text-Based Games
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces
Program Inference from Traces using Multiple Knowledge Sources
Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models
Behavioral Diagnosis of LTL Specifications at Operator Level
Community-Aware Graph Transformer for Brain Disorder Identification
Merging Constraint Satisfaction Subproblems to Avoid Redundant Search
Robot Decisions Based on Maximizing Utility
IE-PMMA: Point Cloud Completion Through Inverse Edge-aware Upsampling and Precise Multi-Modal Feature Alignment
On the Satisfiability Threshold of Random Community-Structured SAT
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer
Multi-Component Nonnegative Matrix Factorization
Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval
ActiveHNE: Active Heterogeneous Network Embedding
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
Real-Time AI Systems: A Definition and An Architecture
Symmetry Breaking via LexLeader Feasibility Checkers
Negotiation Algorithms for Large Agreement Spaces
Integrating Linguistic and Pragmatic Temporal Information in Natural Language Understanding: the case of "When Sentences"
Proceedings of the Workshop on Cognitive Aspects of Knowledge Representation co-located with the 31st international join conference on artificial intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 23, 2022
GSDet: Gaussian Splatting for Oriented Object Detection
K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers
Parse Tree Fragmentation of Ungrammatical Sentences
Argumentative AI Director Using Defeasible Logic Programming
The Role of Roles: Some Aspects of Real World Knowledge Representation
Comparing Random Starts Local Search with Key Feature Matching
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
A Model for Hormonal Modulation of Learning
Automatic Verification of Partial Correctness of Golog Programs
Fallacious Argument Classification in Political Debates
Building a World Model for a Mobile Robot Using Dynamic Semantic Constraints
TRIKOP: Exploring Visual Prompting Paradigms for Multi-Grade Knee Osteoarthritis Classification on MRI Images
Decentralised Coordination of Mobile Sensors Using the Max-Sum Algorithm
A backbone-search heuristic for efficient solving of hard 3-SAT formulae
Welfare Effects of Market Making in Continuous Double Auctions: Extended Abstract
An ASP Approach to Generate Minimal Countermodels in Intuitionistic Propositional Logic
Solving M-Modes Using Heuristic Search
Towards Knowledge Structuring of Sensor Data Based on FCA and Ontology
Towards a Generic Model of Configuraton Tasks
On Supporting Associative Access and Processing over Dynamic Knowledge Bases
Diagnosability Testing with Satisfiability Algorithms
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest
Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space
Policy Shaping with Human Teachers
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction
Salient Object Detection with Fusion of RGB Image and Eye Tracking Data
A Hybrid Fuzzy-Neural Expert System for Diagnosis
An EF2X Allocation Protocol for Restricted Additive Valuations
Effective Management of Information Processes with CMS in Smart City. The Concept of Crowdsourcing
Atari Games and Intel Processors
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
Learning Technique and the Stochastic Approximation Method
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), part of the Federated AI Meeting (FAIM 2018), Stockholm, Sweden, July 13, 2018
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
Why Good Writing Is Easier to Understand
Cone Semantics for Logics with Negation
Participatory Budgeting with Multiple Degrees of Projects and Ranged Approval Votes
Search Methods Using Heuristic Strategies
Reader-Aware Multi-Document Summarization via Sparse Coding
MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting
Multiclass Probabilistic Kernel Discriminant Analysis
A Study in Descriptive Representation of Pictorial Data
Combining DL-Lite_{bool}^N with Branching Time: A gentle Marriage
Recent Advances in Predictive Modeling with Electronic Health Records
Comparing Best-First Search and Dynamic Programming for Optimal Multiple Sequence Alignment
Diverse Weighted Bipartite b-Matching
Defeasible Inclusions in Low-Complexity DLs: Preliminary Notes
Partitioning Techniques in LTLf Synthesis
An Overview of an Automatically Compilable Hierarchical Definition Matcher
Robust Reward Placement under Uncertainty
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations
Task-Agnostic Self-Distillation for Few-Shot Action Recognition
Breaking symmetries in all different problems
Optimal Symbolic Planning with Action Costs and Preferences
Mechanism Design for Large Language Models (Extended Abstract)
Human-AI Coevolution (Abstract Reprint)
Insight into Voting Problem Complexity Using Randomized Classes
PHI - A Logic-Based Tool for Intelligent Help Systems
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
Knowledge Distillation in Federated Learning: A Practical Guide
An Uncertainty Model of Stereo Vision and its Application to Vision-Motion Planning of Robot
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Allophonic and Phonotactic Constraints Are Useful
Safe Inductions: An Algebraic Study
Learning Procedural Knowledge to Better Coordinate
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization
Incorporating Syntactic Constraints in Recognizing Handwritten Sentences
An Adaptive Natural Language System That Listens, Asks, And Learns
Three-Head Neural Network Architecture for Monte Carlo Tree Search
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs
Parameterized Compilability
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency
Neural Architecture Search of SPD Manifold Networks
Tight Bounds for HTN Planning with Task Insertion
Efficient Planning of Informative Paths for Multiple Robots
On A* as a Special Case of Ordered Search
A RANSAC-Based Approach to Model Fitting and Its Application to Finding Cylinders in Range Data
An Approach to Knowledge-Directed Image Analysis
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
Comparing the Conceptual Systems of Experts
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Constraint Satisfaction, Databases, and Logic
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
Libratus: The Superhuman AI for No-Limit Poker
Why Bad Coffee? Explaining BDI Agent Behaviour with Valuings (Extended Abstract)
Exposing a Set of Fine-Grained Emotion Categories from Tweets
Average-Case Analysis of a Search Algorithm for Estimating Prior and Posterior Probabilities in Bayesian Networks with Extreme Probabilities
On the Representation of Nonmontonic Relations in the Theory of Evidence
Making Bound Consistency as Effective as Arc Consistency
Finding a Lattice of Needles in a Haystack: Forming a Query from a Set of Items of Interest
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison
CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
Learning Conditional Preference Networks with Queries
Crowdsourced Semantic Matching of Multi-Label Annotations
An Efficient Arc Consistency Algorithm for a Class of CSP Problems
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning
Inheritance Comes of Age: Applying Nonmonotonic Techniques to Problems in Industry
Weakly-Supervised Multi-view Multi-instance Multi-label Learning
AMICA: An Argumentative Search Engine for COVID-19 Literature
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
On the Decidability of Connectedness Constraints in 2D and 3D Euclidean Spaces
Automatic Assessment of Absolute Sentence Complexity
On the Generalization of Feature Incremental Learning
DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement
Optimizing Personalized Federated Learning Through Adaptive Layer-Wise Learning
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Rational Deployment of CSP Heuristics
Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method
Large-Scale Trade-Off Curve Computation for Incentive Allocation with Cardinality and Matroid Constraints
Conditional progressive planning under uncertainty
Solving the Identifying Code Set Problem with Grouped Independent Support
LGI-GT: Graph Transformers with Local and Global Operators Interleaving
Increasing the Trustworthiness of Deep Neural Networks via Accuracy Monitoring
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph
Topological Order Planner for POMDPs
Reasoning of Geometric Concepts based on Algebraic Constraint-directed Method
Generating Tests for Robotized Painting Using Constraint Programming
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
A Reactive Planner for a Model-based Executive
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement
Knowing Intensional Individuals, and Reasoning About Knowing Intensional Individuals
Learning about Momentum Conservation
Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Coming Out of the Dark: Human Pose Estimation in Low-light Conditions
Algorithms of the Complex Tactile Information Processing
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure
On the Relation Between Truth Maintenance and Autoepistemic Logic
Learning Label Initialization for Time-Dependent Harmonic Extension
Modal Propositional Semantics for Reason Maintenance Systems
Improving Graphplan's Search with EBL & DDB Techniques
Facing Openness with Socio-Cognitive Trust and Categories
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
Mining Convex Polygon Patterns with Formal Concept Analysis
Planning with Loops
Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games
Critical Node-aware Augmentation for Hypergraph Contrastive Learning
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
Method for Detecting Near-duplicate Recipe Creators Based on Cooking Instructions and Food Images
HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree
Attention-Fused Deep Matching Network for Natural Language Inference
Biological Web Services: Integration, Optimization, and Reasoning
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction
PHSIC against Random Consistency and Its Application in Causal Inference
A Survey on Neural Open Information Extraction: Current Status and Future Directions
MIXGAN: Learning Concepts from Different Domains for Mixture Generation
PAC - Personality and Cognition: An Interactive System for Modelling Agent Scenarios
Machine Unlearning: Challenges in Data Quality and Access
Combining the k-CNF and XOR Phase-Transitions
Renewable Energy Investment Decision Evaluation for Local Authorities
How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective
Propositional Attitudes: Fregean Representation and Simulative Reasoning
Minimum Proof Graphs and Fastest-Cut-First Search Heuristics
Machine Learning Solutions in Retail eCommerce to Increase Marketing Efficiency
Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion
Deep Spectral Kernel Learning
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis
Context-Sensitive Diagnosis of Discrete-Event Systems
Optimistic Active-Learning Using Mutual Information
On the Interaction of Metonymies and Anaphora
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
Mental Models of AI Agents in a Cooperative Game Setting (Extended Abstract)
Manipulating Opinion Diffusion in Social Networks
Social Dilemmas in Computational Ecosystems
iFakeDetector: Real Time Integrated Web-based Deepfake Detection System
Learning and Reasoning with Conceptual Space Representations (Abstract)
Robustness to Spurious Correlations via Dynamic Knowledge Transfer
Experiments with a Network-Based Geometric Reasoning Engine
Learning of Resource Allocation Strategies for Game Playing
Using Pattern-Action Rules for the Generation of GPSG Structures from MT-Oriented Semantics
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping
Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks
Multi-Agent Team Formation: Diversity Beats Strength?
InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion
Action Space Reduction for Planning Domains
Computing Optic Flow
Systematic Conservation Planning for Sustainable Land-use Policies: A Constrained Partitioning Approach to Reserve Selection and Design.
CSF-GAN: Cross-modal Semantic Fusion-based Generative Adversarial Network for Text-guided Image Inpainting
Topic Tracking Model for Analyzing Consumer Purchase Behavior
Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm
Real-Time Adversarial Attacks
The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding
Environment-Driven Social Force Model: Lévy Walk Pattern in Collective Behavior
Path Consistency on Triangulated Constraint Graphs
Learning Production Rules for Consultation Systems
Fusion of Word and Letter Based Metrics for Automatic MT Evaluation
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction
Best Arm Identification in Spectral Bandits
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Intersecting Manifolds: Detection, Segmentation, and Labeling
Merging Incommensurable Possibilistic DL-Lite Assertional Bases
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection
Plane Geometry Diagram Parsing
Algorithmic Exam Generation
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization
Training Naturalized Semantic Parsers with Very Little Data
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
Interacting with Explanations through Critiquing
Beyond Fixed Length: Bucket Pre-training is All You Need
Finding Statistically Significant Interactions between Continuous Features
Open-Vocabulary Fine-Grained Hand Action Detection
Query Rewriting for Existential Rules with Compiled Preorder
Finding Collision-Free Smooth Trajectories for a Non-Holonomic Mobile Robot
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract)
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering
Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs
Dense Temporal Convolution Network for Sign Language Translation
A Survey of Reinforcement Learning Informed by Natural Language
A Pragmatic Knowledge Acquisition Methodology
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), Melbourne, Australia, August 20, 2017
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Visual Encoding and Decoding of the Human Brain Based on Shared Features
Multiagent Coordination with Learning Classifier Systems
Temporalising Separation Logic for Planning with Search Control Knowledge
A Modest, but Semantically Well Founded, Inheritance Reasoner
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
Knowledge Modeling and Reusability in ExClaim
Checking an Expert Systems Knowledge Base for Consistency and Completeness
Iterative Ontology Updates Using Context Labels
AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models
Multi-Dimensional Description Logics
3-D Shape Representation by Contours
Fuzzy Logic in Artificial Intelligence, IJCAI '93, Workshop, Chambéry, France, August 28, 1993, Proceedings
Alternating-time Temporal Logic on Finite Traces
Life-Stage Modeling by Customer-Manifold Embedding
Solving Partially Observable Stochastic Shortest-Path Games
Correct Parallel Status Assignment for the Reason Maintenance System
Perception-Inspired Graph Convolution for Music Understanding Tasks
Some Challenges for Intelligent Tutoring Systems
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
Modeling Cognitive Development on the Balance Scale Task
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins
Measuring Performance of Peer Prediction Mechanisms Using Replicator Dynamics
Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network
A Brief Logopedics for the Data Used in a Neuro-Fuzzy Milieu
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
Using Decision Trees for Coreference Resolution
Off-Agent Trust Region Policy Optimization
Search-Based Testing of Reinforcement Learning
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
Cooperation in Threshold Public Projects with Binary Actions
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge
Label Enhancement via Joint Implicit Representation Clustering
The Pipelining Transformation on Plans for Manufacturing Cells with Robots
ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
Understanding Structural Vulnerability in Graph Convolutional Networks
On the Operationality/Generality Trade-off in Explanation-based Learning
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
Local Minima, Heavy Tails, and Search Effort for GBFS
A Domain Theory for Task Oriented Negotiation
Strategies of Cooperation in Distributed Problem Solving
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
Learning Co-Substructures by Kernel Dependence Maximization
Flow-based Intrinsic Curiosity Module
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval
Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons
Sketch Recognition via Part-based Hierarchical Analogical Learning
Fuzzy Control and Neural Networks: Applications for Consumer Products
A framework for short-term activity-aware load forecasting