yusuke1997/dblp-id-title huggingface dataset:
A Context-Dependent Attention System for a Social Robot
Evaluating Description and Reference Strategies in a Cooperative Human-Robot Dialogue System
Leveraging the Wikipedia Graph for Evaluating Word Embeddings
Bayesian Auctions with Efficient Queries (Extended Abstract)
TopoSeg: Topology-aware Segmentation for Point Clouds
Recognizing Convex Blobs
Cancelled Due To Lack Of Interest
Representing Sentence Structure in Hidden Markov Models for Information Extraction
GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems
Object Detection Meets Knowledge Graphs
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Isolating And Identifying Objects In Line Drawings
A Cognitive Model of Visual Analogical Problem-Solving Transfer
An Algebraic Approach to Granularity in Qualitative Time and Space Representation
Art Creation with Multi-Conditional StyleGANs
Unrestricted Gapping Grammars
A Semantics-based Model for Predicting Children's Vocabulary
Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification
Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans
Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI
Detection of Buildings in Aerial Images Using Shape and Shadows
Humming2Music: Being A Composer As Long As You Can Humming
Intelligent Monitoring and Control
Resource-bounded inference from inconsistent belief bases
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding
Towards a Knowledge Compilation Map for Heterogeneous Representation Languages
A Discriminative Approach to Grounded Spoken Language Understanding in Interactive Robotics
From an Agent Logic to an Agent Programming Language for Partially Observable Stochastic Domains
Learning Food Appearance by a Supervision with Recipe Text
DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition
ConvNet based QRS multilead delineator in electrocardiogram signals
Generalizing GraphPlan by Formulating Planning as a CSP
Three Truth Values for the SAT and MAX-SAT Problems
Multiple Destinations Pedestrian Model using an Improved Social Force Model
EVOC: A Music Generating System using Genetic Algorithms
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling
Learning Low-precision Neural Networks without Straight-Through Estimator (STE)
Time-Series Representation Learning via Temporal and Contextual Contrasting
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
Tense and Aspect: A Mereological Approach
Using Surfaces and Object Models to Recognize Partially Obscured Objects
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium
Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors
MATHCHECK: A Math Assistant via a Combination of Computer Algebra Systems and SAT Solvers
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
MAS-SAM: Segment Any Marine Animal with Aggregated Features
Learn the Highest Label and Rest Label Description Degrees
Hierarchical Credit Allocation in a Classifier System
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)
Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Revising Horn Theories
Integrated Learning for Goal-Driven Autonomy
Dynamic Fair Division Problem with General Valuations
Expert Systems: How Far Can They Go?
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
Analysing Natural Gas Prices for Turkey in the Light of a Possible Hub
Solving POMDPs Using Quadratically Constrained Linear Programs
What is Artificial Intelligence? Psychometric AI as an Answer
Spaces of Theories with Ideal Refinement Operators
Schelling Games on Graphs
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
Fine-tuning Pre-trained Models for Robustness under Noisy Labels
Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks
The Bag Semantics of Ontology-Based Data Access
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Directions in Hybrid Intelligence: Complementing AI Systems with Human Intelligence
News Across Languages - Cross-Lingual Document Similarity and Event Tracking (Extended Abstract)
Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter
Person Search Challenges and Solutions: A Survey
Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract)
Dynamic of Argumentation Frameworks
A Framework for Network Modeling in Prolog
A Novel Local Search Algorithm for the Traveling Salesman Problem that Exploits Backbones
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
The FLOW Tutor: A Schema-Based Tutorial System
An Empirical Study of Federated Prompt Learning for Vision Language Model
Weakening Conflicting Information for Iterated Revision and Knowledge Integration
A Tablet Input Facility for an Interactive Graphics System
Zero Carbon Energy Transition in the Kitchens
Weaving a Semantic Web of Credibility Reviews for Explainable Misinformation Detection (Extended Abstract)
Rover Visual Obstacle Avoidance
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration
Structure and Function of the CRYSALIS System
Flexible Scheduling for an Agile Earth-Observing Satelllite
Robustly Learning Composable Options in Deep Reinforcement Learning
Knowledge Analysis on Process Models
Hierarchical Hidden Markov Models for Information Extraction
A Prover for Parallel Processes
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Evaluating Queries in Deductive Databases by Generating
Hybrid Systems for Personalized Recommendations
Efficiency and envy-freeness in fair division of indivisible goods: logical representation and complexity
Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning
Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)
Charge Prediction by Constitutive Elements Matching of Crimes
Multi-task learning of dish detection and calorie estimation
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Anticipatory Fictitious Play
Efficient Dynamic Graphs Learning with Refined Batch Parallel Training
SAT-Based PAC Learning of Description Logic Concepts
Indirect Causes in Dynamic Bayesian Networks Revisited
Joint POS Tagging and Text Normalization for Informal Text
The Nature of Generalization in Understanding
Action Localness, Genericity and Invariants in STRIPS
On the Relation between Argumentation and Non-monotonic Coherence-Based Entailment
Towards Universal Backward-Compatible Representation Learning
Multiple-Weight Recurrent Neural Networks
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities
Correct-and-Memorize: Learning to Translate from Interactive Revisions
Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
ACTA 2.0: A Modular Architecture for Multi-Layer Argumentative Analysis of Clinical Trials
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination
Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification
Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification
Natural Language Query Recommendation in Conversation Systems
PAM - A Program That Infers Intentions
On the application of least-commitment and heuristic search in temporal planning
Enhancing Search Results with Semantic Annotation Using Augmented Browsing
Explaining Prolog Based Expert Systems Using a Layered Meta-Interpreter
Intoner: For Chinese Poetry Intoning Synthesis
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
State-Dependent Cost Partitionings for Cartesian Abstractions in Classical Planning
Robust Counterfactual Explanations in Machine Learning: A Survey
Just an Artifact: Why Machines Are Perceived as Moral Agents
Under What Conditions Can a Machine Attribute Meanings to Symbols
Lifelong Learning for Acquiring the Wisdom of the Crowd
An Approach to Answer Selection in Question-Answering Based on Semantic Relations
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
Dynamic Heuristics for Backtrack Search on Tree-Decomposition of CSPs
Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents
Rescale-Invariant SVM for Binary Classification
AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
An Empirical Investigation of Adaptive Traffic Control Parameters
Blue Skies: A Methodology for Data-Driven Clear Sky Modelling
Markov Random Neural Fields for Face Sketch Synthesis
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information
On the Accrual of Arguments in Defeasible Logic Programming
Real-Time Heuristic Search with LTLf Goals
Bounds for Learning from Evolutionary-Related Data in the Realizable Case
PAS-II: An Interactive Task-Free Version of an Automatic Protocol Analysis System
Reasoning about Preferences in Intelligent Agent Systems
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies
Maximum Sustainable Yield Problem for Robot Foraging and Construction System
User Profile Preserving Social Network Embedding
Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach
Learning Cross-View Binary Identities for Fast Person Re-Identification
Itero: An Online Iterative Voting Application
On Conceptual Labeling of a Bag of Words
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
Online Task Assignment with Controllable Processing Time
Representation Matters: Characterisation and Impossibility Results for Interval Aggregation
A Simple Method for Recovering a Relative Depth Map in the Case of a Translating Sensor
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
Optimizing Simple Tabular Reduction with a Bitwise Representation
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
Quaternion Collaborative Filtering for Recommendation
A Non-Parametric Generative Model for Human Trajectories
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract)
Feature Learning for Activity Recognition in Ubiquitous Computing
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
Solving MDPs with Skew Symmetric Bilinear Utility Functions
Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
Social signal and user adaptation in reinforcement learning-based dialogue management
SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening
Parametric Properties of Ideal Semantics
Proceedings of the Workshop on Knowledge-based Techniques for Problem Solving and Reasoning co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 10, 2016
AutoEncoder-Based Anomaly Detection for CMS Data Quality Monitoring
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams
What Changed? Interpretable Model Comparison
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis
Fast Algorithm for Connected Row Convex Constraints
Architecture and Applications of DADO: A Large-Scale Parallel Computer for Artificial Intelligence
Active Learning with Strong and Weak Views: A Case Study on Wrapper Induction
Evaluation of Medical Large Language Models: Taxonomy, Review, and Directions
A System which Synthesizes Array-Manipulating Programs from Specifications
An Expert System Using Nonmonotonic Techniques for Beneefits Inquiry in the Insurance Industry
Comparing Ways of Obtaining Candidate Orderings from Approval Ballots
Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization
Salient Object Detection by Lossless Feature Reflection
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods
Sorting Sequential Portfolios in Automated Planning
Affective State Prediction of Contextualized Concepts
Consistent, Convergent, and Constant-Time SLAM
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
DANCE: Dual-View Distribution Alignment for Dataset Condensation
A General Expression of the Fundamental Matrix for Both Perspective and Affine Cameras
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
On the Effectiveness of Low Frequency Perturbations
A Primal-dual Perspective for Distributed TD-learning
Detecting and locating faults in the control software of autonomous mobile robots
Reducing SAT to Max2SAT
Multi-Label Structure Learning with Ising Model Selection
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic
On the Differences between Human and Machine Intelligence
The Generation of Explanations within Evidential Reasoning Systems
The Characteristic Error Approach to Conflict Resolution
A Theory of Language Acquisition Based on General Learning Principles
Rhythm Inference Helping Writing Music Scores
An Adaptive Model of Decision-Making in Planning
Attribute Association Driven Multi-Task Learning for Session-based Recommendation
Scalable Graph Hashing with Feature Transformation
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract)
Learning for Tail Label Data: A Label-Specific Feature Approach
Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference
Managing Qualitative Preferences and Constraints in a Dynamic Environment
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning
Efficient Dynamic Ensembling for Multiple LLM Experts
Coarse-to-Fine Lifted MAP Inference in Computer Vision
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information
The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages
Learning Novel Domains Through Curiosity and Conjecture
Locating Faults in Tree-Structured Networks
Nonmonotonic Model Inference-A Formalization of Student Modeling
Building a Bridge Between AI and Robotics
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling
Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
From Application Shell to Knowledge Acquisition System
Transfer Learning with Active Queries from Source Domain
Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks
Preference-Based Semantics for Nonmonotonic Logics
Temporal Inductive Logic Reasoning over Hypergraphs
Learning and Solving Regular Decision Processes
Deductive Retrieval Mechanisms for State Description Models
Interpretable Minority Synthesis for Imbalanced Classification
Descriptive Clustering: ILP and CP Formulations with Applications
ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces (Extended Abstract)
Equilibrium Analysis of Multi-Defender Security Games
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Leaf-Value Tables for Pruning Non-Zero-Sum Games
Selective Attention in Dynamic Vision
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
Binary Classification from Positive Data with Skewed Confidence
FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation
A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines
Control Structures for Software Agents
Mastering the Media Hype: Methods for Deduplication of Conflict Events from News Reports
Query Answering for Existential Rules via Efficient Datalog Rewriting
Graph Contrastive Learning with Reinforcement Augmentation
Quantifying Health Inequalities Induced by Data and AI Models
Chronicle Recognition Improvement Using Temporal Focusing and Hierarchization
Automated Reasoning: Past Story and New Trends
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
LocMoE: A Low-overhead MoE for Large Language Model Training
Constraint Propagation and Value Acquisition: Why we should do it Interactively
Preserving Consistency in Multi-Issue Liquid Democracy
A Dynamic Logic of Normative Systems
3D Vision and Language Pretraining with Large-Scale Synthetic Data
Possibilistic Games with Incomplete Information
Optimal Capacity Modification for Stable Matchings with Ties
The Use of Multiple Problem Decompositions in Time Constrained Planning Tasks
An Efficient Context-Free Parsing Algorithm for Natural Languages
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension
Information-Theoretic Opacity-Enforcement in Markov Decision Processes
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Dependent Fluents
Semiring-based Constraint Logic Programming
Polyhedra of Minimal Area as 3D Object Models
The Computational Complexity of Angry Birds (Extended Abstract)
Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering
Dominance and Subsumption in Constraint-Posting Planning
Identifying Influential Users' Professions via the Microblogs They Forward
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing
Fuzzy Logic and Fuzzy Control, IJCAI '91, Workshops on Fuzzy Logic and Fuzzy Control, Sydney, Australia, August 24, 1991, Proceedings
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
Achieving Budget-Balance with Vickrey-Based Payment Schemes in Exchanges
TALE-SPIN, An Interactive Program that Writes Stories
Belief Update in the Horn Fragment
The Next Generation of Information Systems: From Data to Knowledge - A Selection of Papers Presented at Two IJCAI-91 Workshops, Sydney, Australia, August 26, 1991
On Conditional and Compositional Language Model Differentiable Prompting
Graph Neural Networks for Databases: A Survey
Abstract Interpretation of Programs for Model-Based Debugging
Federated Adaptation for Foundation Model-based Recommendations
DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level
TITAN : Task-oriented Dialogues with Mixed-Initiative Interactions
Discrete Factorization Machines for Fast Feature-based Recommendation
Predictive Analytics for COVID-19 Social Distancing
Tri-net for Semi-Supervised Deep Learning
Tight Policy Regret Bounds for Improving and Decaying Bandits
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder
DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving
Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques
Artificial Intelligence and Space Exploration
A Survey on Efficient Federated Learning Methods for Foundation Model Training
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
Computing Pronoun Antecedents in an English Query System
Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts
Towards Action Prediction Using a Mental-Level Model
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework
A Spatial Odyssey of the Interval Algebra: 1. Directed Intervals
Learning Predictive State Representations via Monte-Carlo Tree Search
Representation Learning for Measuring Entity Relatedness with Rich Information
Learning Effective Search Heuristics
Exploiting Social Influence to Control Elections Based on Scoring Rules
A Refined Understanding of Cost-optimal Planning with Polytree Causal Graphs
A Group-Based Personalized Model for Image Privacy Classification and Labeling
Semi-Data-Driven Network Coarsening
Automated Fact-Checking for Assisting Human Fact-Checkers
DIALOG: A Model Of Diagnostic Logic For Internal Medicine
Web-Scale N-gram Models for Lexical Disambiguation
Dynamic Sanctioning for Robust and Cost-Efficient Norm Compliance
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Interactive Visual Learning for Stable Diffusion
SkyRover: A Modular Simulator for Cross-Domain Pathfinding
A General Elicitation-Free Protocol for Allocating Indivisible Goods
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models
Thin Junction Tree Filters for Simultaneous Localization and Mapping
Simulating Non-Deductive Reasoning
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Crowd Scene Understanding with Coherent Recurrent Neural Networks
An Empirical Study of the Noise Impact on Cost-Sensitive Learning
Recommender Systems, Missing Data and Statistical Model Estimation
Learning Conditional Preference Networks: An Approach Based on the Minimum Description Length Principle
Pre-training of Graph Augmented Transformers for Medication Recommendation
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
Propositional Gossip Protocols under Fair Schedulers