yusuke1997/dblp-id-title huggingface dataset:
Extended Gloss Overlaps as a Measure of Semantic Relatedness
Approximate Optimal Transport for Continuous Densities with Copulas
Influential Analysis in Micro Scholar Social Networks
Using Introspective Reasoning to Refine Indexing
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
Interaction and Expressivity in Collective Decision-Making
Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots
Adaptive Sharing for Image Classification
Model minimization by linear PSR
Model-theoretic Characterizations of Existential Rule Languages
Privacy-Preserving End-to-End Spoken Language Understanding
On the Power of Semantic Partitioning of Web Documents
Compiling Model Representations for Querying Large ABoxes in Expressive DLs
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns
Adjusting Bias in Concept Learning
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks
Extracting Keyphrases to Represent Relations in Social Networks from Web
Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review
Custom-Design of FDR Encodings: The Case of Red-Black Planning
Proof General / Eclipse: A Generic Interface for Interactive Proof
How to Infer from Inconsisent Beliefs without Revising?
On Bimodal Nonmonotonic Logics and Their Unimodal and Nonmodal Equivalents
A System for Providing Differentiated QoS in Retail Banking
Probabilistic Information Fusion for Multi-Modal Image Segmentation
When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators
Reasoning about Connectivity Constraints
Boost Embodied AI Models with Robust Compression Boundary
THEaiTRE: Artificial Intelligence to Write a Theatre Play
Recent Advances in Querying Probabilistic Knowledge Bases
Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining
A Framework for Handling Vision Data in an Object Level Robot Language - RAPT
Formalizing Communication Protocols for Multiagent Systems
Fairness-Aware Interactive Target Variable Definition
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
Search and Learn: On Dead-End Detectors, the Traps they Set, and Trap Learning
A Belief Representation for Understanding Deception
Differentiable Submodular Maximization
A Procedure for Adaptive Control of the Interaction Between Acoustic Classification and Linguistic Decoding in Automatic Recognition of Continuous Speech
Semantic Compression Embedding for Generative Zero-Shot Learning
NORN Finance Forecaster - A Neural Oscillatory-based Recurrent Network for Finance Prediction
Sampling for Approximate Bipartite Network Projection
A Basic Model for Learning Systems
Formal Theories of Language Acquisition: Practical and Theoretical Perspectives
FCA: a Step From Lattice Theory to Efficient Pattern Mining Approaches(Invited Talk)
Online Combinatorial Optimization with Group Fairness Constraints
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Representation of Dynamic Clinical Knowledge: Measurement Interpretation in the Intensive Care Unit
Practical Knowledge Representation for the Web
JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks
Manipulating Boolean Games through Communication
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
University Students' Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards
Design of AI-Based Lane Changing Models in Connected and Autonomous Vehicles: a Survey
A Universal Programming Language
Dominant Resource Fairness with Meta-Types
Joint Feature Selection and Structure Preservation for Domain Adaptation
VF-Detector: Making Multi-Granularity Code Changes on Vulnerability Fix Detector Robust to Mislabeled Changes
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation
The Preliminary Results of a Mandarin Dictation Machine Based Upon Chinese Natural Language Analysis
Just-In-Time Compilation of Knowledge Bases
A Trust Prediction Approach Capturing Agents' Dynamic Behavior
Dynamic Hypergraph Neural Networks
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
Regression Model Fitting under Differential Privacy and Model Inversion Attack
Continuous Diffusive Prediction Network for Multi-Station Weather Prediction
Semantic Model for Induction of First Order Theories
PsychSim: Modeling Theory of Mind with Decision-Theoretic Agents
Preliminary Performance Analysis of the PROSPECTOR Consultant System for Mineral Exploration
Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings
Learning and Exploiting Progress States in Greedy Best-First Search
Advance Papers of the Fourth International Joint Conference on Artificial Intelligence, Tbilisi, Georgia, USSR, September 3-8, 1975
Road-quality Classification and Bump Detection with Bicycle-Mounted Smartphones
Modal Theorem Proving: An Equational Viewpoint
Techniques for Efficient Interactive Configuration of Distribution Networks
Set-Based Retrograde Analysis: Precomputing the Solution to 28-card Bridge Double Dummy Deals
QFormer: An Efficient Quaternion Transformer for Image Denoising
Commonsense Entailment: A Modal Theory of Non-monotonic Reasoning
Semantic Language And The Problem Of Goal Formation Modelling in Human Thinking
Machine Learning Driven Optimization of Fe-Based TMCs for Photodynamic Therapy
Maintaining Coherent Perceptual Information Using Anchoring
Improved Bin Completion for Optimal Bin Packing and Number Partitioning
Recent Advances and New Frontiers in Spiking Neural Networks
Anytime Sensing Planning and Action: A Practical Model for Robot Control
Coherent Keyphrase Extraction via Web Mining
Classical Planning with Simulators: Results on the Atari Video Games
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings
Probabilistic Multimodal Learning with von Mises-Fisher Distributions
LogiDebrief: A Signal-Temporal Logic Based Automated Debriefing Approach with Large Language Models Integration
QCSP-Solve: A Solver for Quantified Constraint Satisfaction Problems
Case Base Adaptation Using Solution-Space Metrics
Branch-and-Cut-and-Price for Multi-Agent Pathfinding
Portfolio Choices with Orthogonal Bandit Learning
State Abstraction Discovery from Irrelevant State Variables
Perceptual Anchoring of Symbols for Action
Commitment Tracking via the Reactive Event Calculus
Agents on Stage: Advancing the State of the Art of AI
A Conflict-Embedded Narrative Generation Using Commonsense Reasoning
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
Combinatorial Auctions via Machine Learning-based Preference Elicitation
Modelling Conceptual Schemata with Formal Concept Analysis
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection
Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning
COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs
Accommodating Human Variability in Human-Robot Teams through Theory of Mind
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps
A Student-Oriented Natural Language Environment For Learning LISP
Curriculum Vitae (CVs) Evaluation Using Machine Learning Approach
Image Feature Learning for Cold Start Problem in Display Advertising
Generation of Japanese Sentences From Conceptual Representation
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding
Benchmark Machine Learning Approaches with Classical Time Series Approaches on the Blood Glucose Level Prediction Challenge
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories
A Methodology for Real Time Scene Analysis
Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract)
Deep Adversarial Social Recommendation
Representation and Efficiency in a Production System for Speech Understanding
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
Robust Planning with (L)RTDP
Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery
Extending Simple Tabular Reduction with Short Supports
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
A Logic Program Schema and Its Applications
Iterative Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Providing Help and Advice in Task Oriented Systems
A Simple Neural Network For Evaluating Semantic Textual Similarity
Common Sense Based Joint Training of Human Activity Recognizers
Efficient Search with an Ensemble of Heuristics
The Surakarta Bot Revealed
Learning Hash Functions for Cross-View Similarity Search
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity
The Use of Parallelism to Implement a Heuristic Search
Features, Projections, and Representation Change for Generalized Planning
Perceptual Problems in Analyzing Industrial Radiographs
A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling
Bounded Timed Propositional Temporal Logic with Past Captures Timeline-based Planning with Bounded Constraints
Change Matters: Medication Change Prediction with Recurrent Residual Networks
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
X-AiD: A Shell for Building Highly Interactive and Adaptive User Interfaces
Deontic Sensors
A Vectorization Technique for Prolog without Explosion
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning
Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification
Learning Groupwise Explanations for Black-Box Models
Learning Relational Representations with Auto-encoding Logic Programs
New Complexity Results for MAP in Bayesian Networks
Issues on Context Modelling
Solving Dynamic Constraint Satisfaction Problems by Identifying Stable Features
SYSP: A New Programming Language for the Next Generation
Batch Reinforcement Learning for Smart Home Energy Management
New Approach to Computational Cognition and Predicative Competence
Recent Advances in Heterogeneous Relation Learning for Recommendation
GSM: Graph Similarity Model for Multi-Object Tracking
SATenstein: Automatically Building Local Search SAT Solvers from Components
Path Planning with CPD Heuristics
Automatic Verification for Soundness of Bounded QNP Abstractions for Generalized Planning
Approximating Value Equivalence in Interactive Dynamic Influence Diagrams Using Behavioral Coverage
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
Adversarial Contention Resolution Games
Comparing Search Algorithms Using Sorting and Hashing on Disk and in Memory
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning
Constraint Programming for Mining Borders of Frequent Itemsets
Incremental Utility Elicitation with the Minimax Regret Decision Criterion
Secure Forward Aggregation for Vertical Federated Neural Networks
Reasoning-Based Learning of Interpretable ML Models
A Method of Pattern Recognition Using Rewriting Rules
Automatic Evaluation of Text Coherence: Models and Representations
Building Business Applications By Integrating Heterogeneous Repositories Based on Ontologies
Locality Sensitive Discriminant Analysis
On the Utility of Systematicity: Understanding Tradeoffs between Redundancy and Commitment in Partial-ordering Planning
Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning
Domain Generalization through the Lens of Angular Invariance
Memory Attention Networks for Skeleton-based Action Recognition
Dynamic Compositional Neural Networks over Tree Structure
Organization and Retrieval in a Conceptual Memory for Events or CON 54, Where Are You?
Vision-Motion Planning of a Mobile Robot considering Vision Uncertainty and Planning Cost
Iterated Boolean Games
From Numerical Interpolation to Constructing Intelligent Behaviors
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
A Hybrid Approach to Interactive Machine Translation - Integrating Rule-based, Corpus-based, and Example-basedMethod
Large Scale Homophily Analysis in Twitter Using a Twixonomy
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths
Extended Plausible Inference
Sample Efficient On-Line Learning of Optimal Dialogue Policies with Kalman Temporal Differences
Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees
PlaceNet: Neural Spatial Representation Learning with Multimodal Attention
IJCAI-09 Sponsorship
Planning for a Single Agent in a Multi-Agent Environment Using FOND
The role of usability engineering in the development of an intelligent decision support system
Situational-Constrained Sequential Resources Allocation via Reinforcement Learning
The Price of Usability: Designing Operationalizable Strategies for Security Games
Explaining and Repairing Plans that Fail
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Directed Graph Embedding
Fast Explanations via Policy Gradient-Optimized Explainer
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation
Nonparametric Independence Testing for Small Sample Sizes
Answer Update for Rule-Based Stream Reasoning
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Planning in a Hierarchy of Abstraction Spaces
Action and Perception in Man-Made Environments
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
Online Risk-Averse Submodular Maximization
A Framework for Incremental Syntactic Tree Formation
Multiple Convergence: An Approach to Disjunctive Concept Acquisition
End-to-End Coreference Resolution for Clinical Narratives
Improving Function Word Alignment with Frequency and Syntactic Information
WebGazer: Scalable Webcam Eye Tracking Using User Interactions
Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning
Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation
SALE-MLP: Structure Aware Latent Embeddings for GNN to Graph-free MLP Distillation
FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services
SIGMA: A Framework for Image Understanding - Integration of Bottom-Up and Top-Down Analysis
Persuasion: What Jane Austin Would Have Written
Vision Based Robot Behavior: Tools and Testbeds for Real-World AI Research
Mutual Influence Potential Networks: Enabling Information Sharing in Loosely-Coupled Extended-Duration Teamwork
M3IC: Maximum Margin Multiple Instance Clustering
W-JS: A Modal Logic of Knowledge
Allowed Arguments
Short Text Conceptualization Using a Probabilistic Knowledgebase
Multiwinner Rules on Paths From k-Borda to Chamberlin-Courant
Learning Prototype Classifiers for Long-Tailed Recognition
Top-k Supervise Feature Selection via ADMM for Integer Programming
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Conference Sponsorship
Enhancing the Transferability of Adversarial Examples with Random Patch
Phonetic Models for Generating Spelling Variants
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning
School Choice with Flexible Diversity Goals and Specialized Seats
Multi-Instance Multi-Label Learning with Weak Label
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
Logic Constrained Pointer Networks for Interpretable Textual Similarity
What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
Probabilistic Analysis of Stable Matching in Large Markets with Siblings
CoBots: Robust Symbiotic Autonomous Mobile Service Robots
Heuristics for Knowledge Acquisition from Maps
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
Dr. AI, Where Did You Get Your Degree?
Numerica: A Modeling Language for Global Optimization
MiningZinc: A Modeling Language for Constraint-Based Mining
Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences
On the Automatic Scoring of Handwritten Essays
Black-Box Data Poisoning Attacks on Crowdsourcing
How Not to Say "NIL": Improving Answers to Failing Queries in Data Base Systems
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
A Model of the Common-Sense Theory of Intention and Personal Causation
Beyond Domain-Independence: Experience With the Development of a German Language Access System to Highly Diverse Background Systems
Knowledge Processing under Information Fidelity
The Emerging Landscape of Explainable Automated Planning & Decision Making
Complexity Results for Structure-Based Causality
Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs
Socio-technical co-Design for Accountable Autonomous Software
Knowledge Extracting from Eco-Design Activity
Uncertainty Management in a Distributed Knowledge Based System
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
Joint Learning of Constituency and Dependency Grammars by Decomposed Cross-Lingual Induction
A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning
Automated Geometry Theorem Proving for Human-Readable Proofs
Panel on the Fifth Generation Project
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access
Efficient Mining of Statistical Dependencies
Towards Understanding Global Spread of Disease from Everyday Interpersonal Interactions
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies
Estimating the Accuracy of Learned Concepts
Exploiting a Common Property Resource under a Fairness Constraint: a Case Study
Enterprise-Standard Ontology Environments for intelligent e-business
Model Checking Knowledge in Pursuit Evasion Games
Using Small Humanoid Robots to Detect Autism in Toddlers
Comparing Different Cognitive Paradigms with a Virtual Laboratory
Generalized Planning: Synthesizing Plans that Work for Multiple Environments
BACON: A Production System That Discovers Empirical Laws
Generalized First Order Decision Diagrams for First Order Markov Decision Processes
Abstraction of Nondeterministic Situation Calculus Action Theories
Online Expectation Maximization for Reinforcement Learning in POMDPs
Emotions as Durative Dynamic State for Action Selection
Implementing BDI-like Systems by Direct Execution
Should Robots be Obedient?
Truthful Auctions for Automated Bidding in Online Advertising
Evaluating Natural Language Generation via Unbalanced Optimal Transport
Representations for Action Selection Learning from Real-Time Observation of Task Experts
Q-Error as a Selection Mechanism in Modular Reinforcement-Learning Systems
Algebraic Manipulations as a Unification and Matching Strategy for Linear Equations in Signed Binary Trees
Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents
Generating Project Networks
Computer-Aided Creative Mechanism Design
Constrained Serial Dictatorships Can Be Fair
The Formation of Composite Hypotheses in Diagnostic Problem Solving: An Exercise in Synthetic Reasoning
Scheduling under Uncertainty: A Query-based Approach
KOGNAC: Efficient Encoding of Large Knowledge Graphs
DSRN: A Deep Scale Relationship Network for Scene Text Detection
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models
Learning with Adaptive Neighbors for Image Clustering
A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning
Query Answering in the Horn Fragments of the Description Logics SHOIQ and SROIQ
Simulating Student Programmers
Forecasting Multi-Appliance Usage for Smart Home Energy Management
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation
Stability and Generalization for Randomized Coordinate Descent
Object Recognition Using Vision and Touch
Online Latent Structure Training for Language Acquisition
Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
When Votes Change and Committees Should (Not)
MFAN: Multi-modal Feature-enhanced Attention Networks for Rumor Detection
Optimal Time-Space Tradeoff in Probabilistic Inference
Deep Joint Semantic-Embedding Hashing
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
Improving Embeddings by Flexible Exploitation of Side Information
Efficiently Executable Temporal Logic Programs
Transfer Learning to Decode Brain States Reflecting the Relationship Between Cognitive Tasks
Rough-Fuzzy Granularity in the Study of Optical Phenomena
Student-t Process Regression with Student-t Likelihood
Redundancy-resistant Generative Hashing for Image Retrieval
Knowledge Graph Representation with Jointly Structural and Textual Encoding
Positive-Unlabeled Learning from Imbalanced Data
Time Structures for AI
It makes sense... and reference: A bag-of-words model for meaning grounding and sharing in multiagent systems
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
Experiments with Associative-Commutative Discrimination Nets
Figuring Out What the User Wants: Steps Toward an Automatic Yellow Pages Assistant
The Ants Have Megaphones Now: Text Mining and Summarization for News and Social Media Streams
Reflection and Introspection for Humanized Intelligent Agents
CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations
Artificial Intelligence in the Classroom
Human Motion Capture from Loose and Sparse Inertial Sensors with Garment-aware Diffusion Models
How Hard Is the Manipulative Design of Scoring Systems?
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
A Semantic Theory of Abstractions
Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables
Limited Discrepancy AND/OR Search and Its Application to Optimization Tasks in Graphical Models
Pseudo-Boolean Constraints from a Knowledge Representation Perspective