yusuke1997/dblp-id-title huggingface dataset:
Extracting Chatbot Knowledge from Online Discussion Forums
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion
Efficient Black-Box Planning Using Macro-Actions with Focused Effects
Automatic Name-Face Alignment to Enable Cross-Media News Retrieval
Representation and Analysis of Electrical Circuits in a Deductive System
Assigning a Small Agreeable Set of Indivisible Items to Multiple Players
Process Plan Controllers for Non-Deterministic Manufacturing Systems
Credulous Acceptance in High-Order Argumentation Frameworks with Necessities: An Incremental Approach (Abstract Reprint)
Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Abstraction for Non-Ground Answer Set Programs (Extended Abstract)
Marthe: Scheduling the Learning Rate Via Online Hypergradients
CRSRL: Customer Routing System Using Reinforcement Learning
Computationally Grounded Model of BDI-Agents
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint)
An Appraisal of a Decision Tree Approach to Image Classification
Utilizing Moment Invariants and Gröbner Bases to Reason About Shapes
Approximation Algorithms for Max-Sum-Product Problems
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Towards automated pain detection in children using facial and electrodermal activity
GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector
Step-Wise Hierarchical Alignment Network for Image-Text Matching
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
K-Core Maximization: An Edge Addition Approach
Term Description: A Simple Powerful Extension to Prolog Data Structures
Generalized Rapid Action Value Estimation
Analysing Sequences of TV-Frames
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract)
Text Plans and World Plans in Natural Discourse
InstGAN: Instant Actor-Critic-Driven GAN for De Novo Molecule Generation and Property Optimization
Communicating Effectively in Resource-Constrained Multi-Agent Systems
Combining Discourse Strategies to Generate Descriptions to Users Along a Naive/Expert Spectrum
Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Effective and Efficient ROI-wise Visual Encoding Using an End-to-End CNN Regression Model and Selective Optimization
Incentivizing Peer Grading in MOOCS: An Audit Game Approach
At Home with Agents: Exploring Attitudes Towards Future Smart Energy Infrastructures
Analyzing and Designing Strategic Environments in Social Domains
What's in a Game? The Effect of Game Complexity on Deep Reinforcement Learning
Mixed Causal Structure Discovery with Application to Prescriptive Pricing
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)
Optimal Region Search with Submodular Maximization
Optimizing Cepstral Features for Audio Classification
Awards and Distinguished Papers
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015
Deep Cascade Generation on Point Sets
Solving Quantified Boolean Formulas with Few Existential Variables
Generalizing Plans to New Environments in Relational MDPs
A Logic of Directions
Comparing Strategic Secrecy and Stackelberg Commitment in Security Games
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
PageRank with Priors: An Influence Propagation Perspective
Sketching Techniques for Collaborative Filtering
Portioning Using Ordinal Preferences: Fairness and Efficiency
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
Learning Distributed Representations for the Classification of Terms
Explainable Deep Neural Networks for Multivariate Time Series Predictions
Learning Interpretable Concept Groups in CNNs
Fair Division of Indivisible Goods: A Survey
Inaccessible Worlds and Irrelevance: Preliminary Report
Deep Supervised Hashing with Nonlinear Projections
Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval
Planning for LTLf /LDLf Goals in Non-Markovian Fully Observable Nondeterministic Domains
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning
On a generalization of triangulated graphs for domains decomposition of CSPs
On Methods To Decide Solvability of Transformation Problems
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks
Improving System Performance in Case-Based Iterative Optimization through Knowledge Filtering
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
Generalized Metrics with Applications to Ratings and Formal Concept Analysis
Creating a Story-Telling Universe
Improving Performance of Topic Models by Variable Grouping
Novel Collaborative Filtering Recommender Friendly to Privacy Protection
Interpolative Reasoning with Default Rules
ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs
A-System: Problem Solving through Abduction
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Coco: Runtime Reasoning about Conflicting Commitments
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
Heroic versus Collaborative AI for the Arts
Taming Intractible Branching in Qualitative Simulation
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
Educational Research Trends of the Use of Gaze Learning Data Through Topic Modeling and Scientometric Analysis
CARBEN: Composite Adversarial Robustness Benchmark
Minimal Module Extraction from DL-Lite Ontologies Using QBF Solvers
A Three-Stage Neural Model for Attribute Based Classification and Indexing of Fly Ashes
Injecting Imbalance Sensitivity for Multi-Task Learning
Prioritized Base Debugging in Description Logics
Execution Monitoring as Meta-Games for General Game-Playing Robots
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection
Retrieving Cases from Relational Data-Bases: Another Stride Towards Corporate-Wide Case-Base Systems
Exploring Protein Fragment Assembly Using CLP
Deictic Option Schemas
ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification
Canonical Orderings on Grids
Visuospatial Commonsense: On Neurosymbolic Reasoning and Learning about Space and Motion (Abstract)
Evaluating a custom-made agent-based driving simulator
Routing Mediators
Representation Dependence in Probabilistic Inference
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), August 9-10, 2003, Acapulco, Mexico
Quaternion Ordinal Embedding
Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization
Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training
Reasoning About Control: The Investigation of an Evidential Approach
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
RHB+: A Type-Oriented ILP System Learning from Positive Data
CASAP: A Testbed for Program Flexibility
Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract)
Scalable Diagnosability Checking of Event-Driven Systems
Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring
Teaching What You Should Teach: A Data-Based Distillation Method
Refine or Represent: Residual Networks with Explicit Channel-wise Configuration
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
Reasoning Visually about Spatial Interactions
Dependency Covers from an FCA Perspective
A Virtual Assistant to Help Dysphagia Patients Eat Safely at Home
Generalised Fictitious Play for a Continuum of Anonymous Players
An Object-Oriented Parser for Text Understanding
Bayesian Classification with Correlation and Inheritance
A Graph Kernel Based on the Jensen-Shannon Representation Alignment
ExpertClerk: Navigating Shoppers Buying Process with the Combination of Asking and Proposing
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks
Conversational Exploration of Literature Landscape with LitChat
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation
Using Domain Knowledge to Systematically Guide Feature Selection
Improving Text Generation with Dynamic Masking and Recovering
An Approach to Minimal Belief via Objective Belief
Unveiling Concepts Learned by a World-Class Chess-Playing Agent
Modelling Simple Dialogs
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks
Interactive Spoken Simulation Control and Conversational Tutoring
Coarse-to-Fine Control Strategy for Matching Motion Stereo Pairs
Deep Multimodal Hashing with Orthogonal Regularization
Reduced Complexity Rule Induction
Automatic Documentation Generation: The Rnteraction of Text and Examples
Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View
Association Memory Model Using The Notion Of "Importance"
Algorithmics of Egalitarian versus Equitable Sequences of Committees
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017
A Fuzzy-Neural Model for Co-ordination in Air Traffic Flow Management
Causal Deep Reinforcement Learning Using Observational Data
QA-MDT: Quality-aware Masked Diffusion Transformer for Enhanced Music Generation
Approximating Optimal Policies for Agents with Limited Execution Resources
Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames
Fault-Model-Based Test Generation for Embedded Software
Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers
Heuristic Rule-Based Regression via Dynamic Reduction to Classification
Employing External Rich Knowledge for Machine Comprehension
Optimal Multi-Sensor Based Multi Target Detection by Moving Sensors to the Maximal Clique in a Covering Graph
Topological Mapping through Distributed, Passive Sensors
Optimal Bidding Strategy for Brand Advertising
Local Query Mining in a Probabilistic Prolog
Cognitive Biases Undermine Consensus on Definitions of Intelligence and Limit Understanding
A Recursive Shortcut for CEGAR: Application To The Modal Logic K Satisfiability Problem
Neural Network Translation Models for Grammatical Error Correction
Dual-Regularized Multi-View Outlier Detection
Planning and Learning with Stochastic Action Sets
Exploiting Block Deordering for Improving Planners Efficiency
An Event Calculus Formalization of Timed Automata
Emerging Advances in Learned Video Compression: Models, Systems and Beyond
Precarity and Solidarity: Preliminary Results on a Study of Queer and Disabled Fiction Writers' Experiences with Generative AI
Temporal Reasoning with Preferences and Uncertainty
Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions
Quantitative Claim-Centric Reasoning in Logic-Based Argumentation
Human-AI Collaboration in Recruitment and Selection
Deep Descriptor Transforming for Image Co-Localization
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks
Learning Optimal Subsets with Implicit User Preferences
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification
CoTrRank: Trust Evaluation of Users and Tweets
Online Stochastic Optimization in the Large: Application to Kidney Exchange
Sentiment-Controllable Chinese Poetry Generation
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
Intelligent Belief State Sampling for Conformant Planning
Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation
Performative Ethics From Within the Ivory Tower: How CSPractitioners Uphold Systems of Oppression (Abstract Reprint)
Lazy-Grounding for Answer Set Programs with External Source Access
Seed Selection in the Heterogeneous Moran Process
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
Possible and Necessary Allocations via Sequential Mechanisms
What Is Where: Inferring Containment Relations from Videos
Automatic reasoning evaluation in diet management based on an italian cookbook
Discovering Relevance-Dependent Bicluster Structure from Relational Data
Ranking Query Results from Linked Open Data using a simple cognitive heuristic
Predicate-Oriented Isomorphism Elimination in Model Finding
Layered Mereotopology
Argumentation Based Contract Monitoring in Uncertain Domains
Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting
An Online Intelligent Visual Interaction System
Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia
A Divide-and-Conquer Approach for Solving Interval Algebra Networks
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
Towards Possibilistic Decision Theory
Annotated Sequent Calculi for Paraconsistent Reasoning and Their Relations to Logical Argumentation
Solving Geometric Constraint Satisfaction Problems for Spatial Planning
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Parametric Distance Metric Learning with Label Information
Human-Imperceptible, Machine-Recognizable Images
Automating the Discovery of Recommendation Knowledge
MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
Constrained Sequential Inference in Machine Learning Using Constraint Programming
Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models
Quantified Coalition Logic
Reactive Control of Dynamic Progressive Processing
ProMoAI: Process Modeling with Generative AI
A Factor Graph Model for Software Bug Finding
The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
An Extension-Based Approach to Belief Revision in Abstract Argumentation
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa
Concept-Level Causal Explanation Method for Brain Function Network Classification
A Sketch-Transformer Network for Face Photo-Sketch Synthesis
Optimal Prosumer Decision-Making Using Factored MDPs
Early Discovery of Emerging Entities in Microblogs
Combinatorial Optimization and Reasoning with Graph Neural Networks
SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting
IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013
Learning Interpretable Representations with Informative Entanglements
Abducing Relations in Continuous Spaces
Discovery and Reasoning in Mathematics
A New Look at the Semantics and Optimization Methods of CP-Networks
Connecting Qualitative Spatial and Temporal Representations by Propositional Closure
Computational and Physical Causality
Using a Feature Algebra for Reasoning about Geometric Feature Interactions
Dynamic Multi-View Hashing for Online Image Retrieval
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach
Learning to Resolve Social Dilemmas: A Survey (Abstract Reprint)
Brain Controlled Manipulator System Based on Improved Target Detection and Augmented Reality Technology
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes
Reasonable Highly Expressive Query Languages - IJCAI-15 Distinguished Paper (Honorary Mention)
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract)
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
A Survey of Risk-Aware Multi-Armed Bandits
Collision Detection and Avoidance in Computer Controlled Manipulators
Deep Learning with Logical Constraints
Relational Learning for Email Task Management
Handling non-local dead-ends in Agent Planning Programs
Predictive Modelling of Human Reasoning Using AGM Belief Revision
Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code
Performance in Practical Problem Solving
ALVEN: A Study on Motion Understanding by Computer
Exact Recovery of Sparse-Used Dictionaries
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract)
Corpus-based, Statistical Goal Recognition
Some Issues in Generation From a Semantic Representation
Probabilistic Equivalence Verification Approach for Automatic Mathematical Solution Assessment
Flexible Execution of Partial Order Plans With Temporal Constraints
Residue-Driven Architecture for Computational Auditory Scene Analysis
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks
Incorporating a folding rule into inductive logic programming
Towards Joint Intent Detection and Slot Filling via Higher-order Attention
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials
Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces
Ball Ranking Machine for Content-Based Multimedia Retrieval
Trivializing the Proof of Trivial Theorems
Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images
Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion
Analysis and Cluster Based Modelling and Recognition of Context in a Mobile Environment
Operationalizing Operational Logics: Semiotic Knowledge Representations for Interactive Systems
Two for One & One for All: Two-Sided Manipulation in Matching Markets
Sound and Efficient Non-monotonic Inference
Identification of Time-Dependent Causal Model: A Gaussian Process Treatment
Talking Face Generation by Conditional Recurrent Adversarial Network
Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
The Counterplanning Process: Reasoning under Adversity
Chart Parsing of Flowgraphs
A Conceptual-KDD Tool for Ontology Construction from a Database Schema
Learning Deep Unsupervised Binary Codes for Image Retrieval
Collaboration Based Multi-Label Propagation for Fraud Detection
Sentence Extraction for Legal Text Summarisation
On the Synergy of Network Science and Artificial Intelligence
Model Checking for Nonmonotonic Logics: Algorithms and Complexity
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
Convergence of Reinforcement Learning with General Function Approximators
Sparse-Memory Graph Search
Multiwinner Elections Under Preferences That Are Single-Peaked on a Tree
Language Access to Distributed Data with Error Recovery
Learning Instance-wise Sparsity for Accelerating Deep Models
Lagrangian Decomposition for Classical Planning (Extended Abstract)
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, MI, USA, August 1989
Elements of a Utilitarian Theory of Knowledge and Action
Dominance Rules for the Choquet Integral in Multiobjective Dynamic Programming
The Use of Models in a Rule-Based Consultation System
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
A Mask Image Recognition Attention Network Supervised by Eye Movement
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy
Thompson Sampling for Bandits with Clustered Arms
Fear and Hope Emerge from Anticipation in Model-Based Reinforcement Learning
Title Generation for Machine-Translated Documents
FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks
Automated Qualitative Domain Abstraction
Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract)
Commonsense Reasoning with Verbs
Online Learning with Off-Policy Feedback in Adversarial MDPs
Computational Analysis of Connectivity Games with Applications to the Investigation of Terrorist Networks
The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems
A Predicate Connection Graph Based Logic with Flexible Control
Robust Solutions for Multi-Defender Stackelberg Security Games
Holonic Multiagent Multilevel Simulation: Application to Real-Time Pedestrian Simulation in Urban Environment
Combining and relating ontologies: an analysis of problems and solutions
The Role of Macros in Tractable Planning over Causal Graphs
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
Computing the Schulze Method for Large-Scale Preference Data Sets
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events
Getting in Shape: Word Embedding SubSpaces
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base
Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions
Activity Recognition with Intended Actions
Nonlinear Planning: A Rigorous Reconstruction
Completeness-aware Rule Learning from Knowledge Graphs
Stacking With Auxiliary Features
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
Active Semantic Networks as a Model of Human Memory
Knowledge Utilization in Handwritten Zip Code Recognition
Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract)
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing
Counting Complexity of Propositional Abduction
Representations of Assembly Sequences
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract)
Automatic Diagnosis of Student Programs in Programming Learning Environments
Budgeted Multi-Armed Bandits with Multiple Plays
A Degeneracy Framework for Scalable Graph Autoencoders