yusuke1997/dblp-id-title huggingface dataset:
Brain-Inspired Stepwise Patch Merging for Vision Transformers
A Goal-Directed Intermediate Level Executive for Image Interpretation
IJCAI-07 Conference Organization
Towards Spatial Methods for Socially Assistive Robotics: Validation with Children with Autism Spectrum Disorders
Variational Learning for Unsupervised Knowledge Grounded Dialogs
A Logic Programming and Verification System for Recursive Quantificational Logic
Do You Steal My Model? Signature Diffusion Embedded Dual-Verification Watermarking for Protecting Intellectual Property of Hyperspectral Image Classification Models
Query rewriting and answering under constraints in data integration systems
Vertex Weighting-Based Tabu Search for p-Center Problem
Grounding Abstractions in Predictive State Representations
Proceedings of the International Workshop on Defeasible and Ampliative Reasoning, DARe 2015, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015
Concept Generation in Language Evolution
How to Use Limited Memory in Heuristic Search
Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction
Efficient Cost-Minimization Schemes for Electrical Energy Demand Satisfaction by Prosumers in Microgrids with Battery Storage Capabilities
Survey of multiagent systems for improving home health care management
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models
Help From Strangers - Media Arts In Ambient Intelligence Research
Achieving a Fairer Future by Changing the Past
Risk Control in Multi-agent Coordination by Negotiation with a Trusted Third Party
Semi-supervised Orthogonal Graph Embedding with Recursive Projections
Optimal Interdiction of Illegal Network Flow
Iterated Regret Minimization: A New Solution Concept
Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules
Automated Essay Scoring: A Survey of the State of the Art
Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning
Multimodal Integration A Biological View
Inconsistency Measurement for Paraconsistent Inference
Integrating Knowledge and Reasoning in Image Understanding
Ridgeless Regression with Random Features
A Summary of the PSI Program Synthesis System
Counting and Sampling Models in First-Order Logic
Parametric Manifold Learning of Gaussian Mixture Models
An Application of Decision Analysis to Strategy-Making in Game Playing
Taxonomic Reasoning
Recommender Systems from "Words of Few Mouths"
Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning
The Complexity of Limited Belief Reasoning - The Quantifier-Free Case
Contrastive Learning Drug Response Models from Natural Language Supervision
Possibilistic Temporal Reasoning based on Fuzzy Temporal Constraints
Operator Component Matrix Model for IMP Program Diagnosis
Holographic Reduced Representations: Convolution Algebra for Compositional Distributed Representations
Manipulating Gale-Shapley Algorithm: Preserving Stability and Remaining Inconspicuous
Non-Monotone Adaptive Submodular Maximization
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Reality
Strategyproof and Approximately Maxmin Fair Share Allocation of Chores
Bounding the Suboptimality of Reusing Subproblem
On the Logical Properties of the Description Logic DL^N (Extended abstract)
Genetic Heuristic for Search Space Exploration
MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition
Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines
Discrete Binary Coding based Label Distribution Learning
Logic Programming with General Clauses and Defaults Based on Model Elimination
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
Off-line Reasoning for On-line Efficiency
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
Sufficient Plan-Time Statistics for Decentralized POMDPs
Learning machines that perceive, act and communicate
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)
IJCAI-07 Keynote and Invited Speakers
Place Anything into Any Video
Personal Context Recognition via Skeptical Learning
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation
Capturing Knowledge Graphs and Rules with Octagon Embeddings
Visual Tracking with Reliable Memories
Transformations and Somatotopy in Perceiving Systems
On the Interaction between Inverse Features and Path-functional Dependencies in Description Logics
Combining Bodies of Dependent Information
Dynamic World Simulation for Planning With Multiple Agents
Graph Theoretical Characterization and Computation of Answer Sets
X2MORF: A Morphological Component Based on Augmented Two-Level Morphology
Fault Diagnosis Through Responsibility
Increasing Dialogue Efficiency in Case-Based Reasoning Without Loss of Solution Quality
Learning Deep Intrinsic Video Representation by Exploring Temporal Coherence and Graph Structure
Proceedings of the 1st International Workshop on Cognition and Artificial Intelligence for Human-Centred Design 2017 co-located with IJCAI 2017, Melbourne, Australia, August 19, 2017
A Survey on Plan Optimization
Socialized Word Embeddings
On Succinct Encodings for the Tournament Fixing Problem
Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration
Exploring Segment Representations for Neural Segmentation Models
Affect As Motivation For Cognitive And Conative Processes
Intraoperative Accurate Automatic Modeling of Skull Defects with Neuronavigation System
Multiplex Graph Representation Learning via Bi-level Optimization
Binary Event-Driven Spiking Transformer
Global Inference with Explicit Syntactic and Discourse Structures for Dialogue-Level Relation Extraction
Using Liquid Democracy For Attention-Aware Social Choice
Personalizing EEG-Based Affective Models with Transfer Learning
Categorizing Wireheading in Partially Embedded Agents
An Experiment in Representing the Knowledge Involved in the Specification and Design of Switching Systems
Recursive Random Fields
Pointing, Language and the Visual World: Towards Multimodal Input and Output for Natural Language Dialog Systems (Panel)
Isotonic Data Augmentation for Knowledge Distillation
Optimal Metric Distortion for Matching on the Line
Artificial Intelligence for Knowledge Management - Third IFIP WG 12.6 International Workshop, AI4KM 2015, Held at IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, Revised Selected Papers
Robust Out-of-Sample Data Recovery
Synthesis of Communication Policies for Multi-Agent Systems Robust to Communication Restrictions
Incentives in Social Decision Schemes with Pairwise Comparison Preferences
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction
Expanding Domain Sentiment Lexicon through Double Propagation
Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors
Algorithms for Distributed Winner Determination in Combinatorial Auctions
Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
Link Label Prediction in Signed Social Networks
Auxiliary Template-Enhanced Generative Compatibility Modeling
Cooperative Search and Nogood Recording
Empowering Automatic Decision-Making Systems: General Intelligence, Responsibility, and Moral Sensibility
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders
Decompositions of All Different, Global Cardinality and Related Constraints
Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application
REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms
Compositional Model-Based Design
Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation
A rule language for modelling and monitoring social expectations in multi-agent systems
Redundancy-free Island Parsing of Word Graphs
Trajectory-User Linking via Variational AutoEncoder
Predict Anchor Links across Social Networks via an Embedding Approach
Generalized Discrete Preference Games
MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training
Identifying and Forecasting Economic Regimes in TAC SCM
Answering Counting Queries over DL-Lite Ontologies
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion
Learning Probabilistic Models for Mobile Manipulation Robots
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction
The Use of Meta-Level Control for Coordination in a Distributed Problem Solving Network
Automating Quantified Conditional Logics in HOL
Concept Labeling: Building Text Classifiers with Minimal Supervision
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
Decentralized Online Learning by Selfish Agents in Coalition Formation
Online Revenue Maximization for Server Pricing
Dynamic System Control Using Rule Learning and Genetic Algorithms
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation
Collaborative Filtering on Ordinal User Feedback
Optimizing Ratio of Monotone Set Functions
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation
Evolutionary Learning of Existential Rules
Detecting Student Emotions in Computer-Enabled Classrooms
Learning Nested Concept Classes with Limited Storage
Measuring and Improving the Effectiveness of Representations
A Survey on Rank Aggregation
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
ARMR: Adaptively Responsive Network for Medication Recommendation
Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms
Masked Feature Generation Network for Few-Shot Learning
Multi-Dimensional Heuristic Searching
A Basis For The Acquisition Of Procedures From Protocols
Reconstructing an Agent's Epistemic State from Observations
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
LTL Realizability via Safety and Reachability Games
Active Semantic Networks In Robots With Independant Control
Feature Learning Based Deep Supervised Hashing with Pairwise Labels
Communicative Representation Learning on Attributed Molecular Graphs
Learning to Assemble Geometric Shapes
Evaluating Significance of Inconsistencies
Constraints for the Estimation of Displacement Vector Fields From Image Sequences
Distributed Vision System: A Perceptual Information Infrastructure for Robot Navigation
An Accommodating Edge Follower
A New Metaphor for the Graphical Explanation of Forward-Chaining Rule Execution
On Automating the Doctrine of Double Effect
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Multi-Objective Neural Bandits with Random Scalarization
Partitioning Activities for Agents
Generalized Biwords for Bitext Compression and Translation Spotting: Extended Abstract
Generalization-Aware Structured Regression towards Balancing Bias and Variance
Content Management Systems Based on GNU GPL License as a Support of Knowledge Management in Organizations and Business
Counting Solutions of CSPs: A Structural Approach
Automated Generation of Interaction Graphs for Value-Factored Dec-POMDPs
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs
Learn Multi-task Anchor: Joint View Imputation and Label Generation for Incomplete Multi-view Clustering
GL-RG: Global-Local Representation Granularity for Video Captioning
An Agent Architecture for Multi-Attribute Negotiation
Sequential Planning for Steering Immune System Adaptation
XAI-Lyricist: Improving the Singability of AI-Generated Lyrics with Prosody Explanations
A Part Power Set Model for Scale-Free Person Retrieval
Determining Velocity Map By 3-D Iterative Estimation
Signal-to-Score Music Transcription using Graphical Models
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
Scalable Probabilistic Tensor Factorization for Binary and Count Data
The Coordination of Multiple Goal Satisfaction
Filling Knowledge Gaps in a Broad-Coverage Machine Translation System
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method
Contrastive General Graph Matching with Adaptive Augmentation Sampling
Recognizing Intended Meaning and Speakers' Plans
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, ECAI 2022), Vienna, Austria, July 24, 2022
Link Analysis, Eigenvectors and Stability
Machine Learning Approaches to Reduce Electrical Waste and Improve Power Grid Stability
Learning Fuzzy Membership Functions in a Function-Based Object Recognition System
A Tag-Based Statistical English Math Word Problem Solver with Understanding, Reasoning and Explanation
Mining Video Associations for Efficient Database Management
Computing Equilibria in Multiplayer Stochastic Games of Imperfect Information
Transfer learning with applications on text, sensors and images
Interplanetary Trajectory Planning with Monte Carlo Tree Search
Towards Sample Efficient Reinforcement Learning
Reagent: Converting Ordinary Webpages into Interactive Software Agents
Continuous-Time Graph Learning for Cascade Popularity Prediction
Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning
Unrestricted And-Parallel Execution of Logic Programs with Dependency Directed Backtracking
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Theoretical Underpinnings of Version Spaces
FCA-based Approach to Machine Learning
Machine Learning Driven Aid Classification for Sustainable Development
Visual Emotion Representation Learning via Emotion-Aware Pre-training
Average-Case Analysis of a Nearest Neighbor Algorithm
A Hierarchy of Boundary-based Shape Descriptors
CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors
An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation
A Parallel Parser for Spoken Natural Language
Web Grammars
When are Marginal Congestion Tolls Optimal?
Computer Hex Algorithm Using a Move Evaluation Method Based on a Convolutional Neural Network
A Generalized Deep Markov Random Fields Framework for Fake News Detection
Continual Multimodal Knowledge Graph Construction
Recurrent Relational Memory Network for Unsupervised Image Captioning
Comparing Approximate Relaxations of Envy-Freeness
Qute: A Prolog/Lisp Type Language for Logic Programming
A Support Tool for Writing Multilingual Instructions
Meta Segmentation Network for Ultra-Resolution Medical Images
A Study of Causal Discovery With Weak Links and Small Samples
Asymmetric Distribution Measure for Few-shot Learning
Recent Advances in End-to-End Simultaneous Speech Translation
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
CM-Strategy: A Methodology for Inductive Theorem Proving or Constructive Well-Generalized Proofs
Threshold Treewidth and Hypertree Width
Some Theoretical Results Concerning Automated Game-Playing
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents
Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations
Personalized Federated Learning with Contextualized Generalization
On Forgetting Postulates in Answer Set Programming
The Commercialization of AI: Part 3. The Technology Challenge (Panel)
Making Cross Products and Guarded Ontology Languages Compatible
The Multi-Inter-Distance Constraint
The Automated Analysis of Rule-based Systems, Based on their Procedural Semantics
A Contextual Recognition System for Formal languages
DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis
The Malmo Platform for Artificial Intelligence Experimentation
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
Unit Selection Based on Counterfactual Logic
Boundary Knowledge Translation based Reference Semantic Segmentation
Visual Reasoning in Geometry Theorem Proving
Motivated Agents
Text/Speech-Driven Full-Body Animation
Visual Interpretation of Lambertian Surface Deformation
Denoising-Aware Contrastive Learning for Noisy Time Series
What Enables a Machine to Understand?
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Ethics and Regulation of Artificial Intelligence
Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism
Probabilistic Strategy Logic
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework
Discrete Lagrangian-Based Search for Solving MAX-SAT Problems
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
IJCAI'2001 Workshop on Ontology Learning, Proceedings of the Second Workshop on Ontology Learning OL'2001, Seattle, USA, August 4, 2001 (Held in conjunction with the 17th International Conference on Artificial Intelligence IJCAI'2001)
CFII-Net: Explicit Class Embeddings and Feature Maps Through Iterative Interaction for Boosting Medical Image Segmentation
Plan-Guided Analysis of Noisy Dynamic Images
Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change?
Modeling Supply Chain Formation in Multiagent Systems
Option Transfer and SMDP Abstraction with Successor Features
Cross-media Multi-level Alignment with Relation Attention Network
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
Bayesian Model for Trustworthiness Analysis of Deep Learning Classifiers
Multi-Label Active Learning: Query Type Matters
Gradformer: Graph Transformer with Exponential Decay
Decorrelated Clustering with Data Selection Bias
Node-wise Localization of Graph Neural Networks
Towards Debiased Generalized Category Discovery
Probabilistic Go Theories
Let's Plan It Deductively!
Bayesian Inverse Reinforcement Learning
Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection
Knowledge Representation in an Expert Storm Forecasting System
Definition and Complexity of Some Basic Metareasoning Problems
Euclidean and Mereological Qualitative Spaces: A Study of SCC and DCC
S2 Transformer for Image Captioning
Reasoning about Kinematic Topology
On the Requirements of Future Expert Systems
Problems with Parts
Restricted Communication in Online Multi-Robot Exploration
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints
RZCR: Zero-shot Character Recognition via Radical-based Reasoning
Minimally intrusive negotiating agents for resource sharing
Local Pragmatics
Enhancing Controlled Query Evaluation through Epistemic Policies
Model and Simulation of Microwave Ablation with Single Antennas on Irregular Hepatic Cancerous Tissue
A Framework for Heuristic Reasoning About Uncertainty
Identification of serious illness conversations in unstructured clinical notes using deep neural networks
Boosting Combinatorial Problem Modeling with Machine Learning
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow
Cross-Domain Recommendation: Challenges, Progress, and Prospects
ODEE: A One-Stage Object Detection Framework for Overlapping and Nested Event Extraction
Responsibility Anticipation and Attribution in LTLf
The Universal Parser Architecture for Knowledge-based Machine Translation
Denoised Self-Augmented Learning for Social Recommendation
InnateCoder: Learning Programmatic Options with Foundation Models
Translation-Based Constraint Answer Set Solving
Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning
Vertical Symbolic Regression via Deep Policy Gradient
Label-efficient Semantic Scene Completion with Scribble Annotations
Descriptions as Constraints in Object-Oriented Representation
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data
Pyramid Diffusion Models for Low-light Image Enhancement
Reasoning About Agents That May Know Other Agents' Strategies
The Price of Local Fairness in Multistage Selection
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
A New Trajectory Deformation Algorithm Based on Affine Transformations
Par-KAP: a Knowledge Acquisition Tool for Building Practical Planning Systems
Using Matching in Algebraic Equation Solving
On Gleaning Knowledge from Multiple Domains for Active Learning
Solving QBF by Clause Selection
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
Using Information Extraction Rules for Extending Domain Ontologies
Intention Progression with Temporally Extended Goals
Double-Wheel Graphs Are Graceful
Social Influence Locality for Modeling Retweeting Behaviors
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions
Deep Learning for Event-Driven Stock Prediction
The Generation of 'Critical Problems' by Abstract Interpretations of Student Models
Fast Active Tabu Search and its Application to Image Retrieval
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
The Complexity of Searching Several Classes of AND/OR Graphs
Analogy Between Sequential Errors in Aphasia and the Behavior of a Cybernetic System (SARF)
MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification
Video Diffusion Models with Local-Global Context Guidance
Planner-BESM-6 Systems Implementation Methods
Problem Solving Approach In Data Management
Paraconsistent Relational Model: A Quasi-Classic Logic Approach
Real-life activity recognition: recognizing reading activities
A Brand-level Ranking System with the Customized Attention-GRU Model
Probabilistic Inference in Hybrid Domains by Weighted Model Integration
Artificial Intelligence Systems That Understand
Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
ROBOT: A High Performance Natural Language Data Base Query System
WSABIE: Scaling Up to Large Vocabulary Image Annotation
BANANA: when Behavior ANAlysis meets social Network Alignment
Structured Descriptions of Complex Objects
Multiple Information Sources Cooperative Learning
Variability in General Health Status Post Liver Transplantation
Phrase Detectives: Utilizing Collective Intelligence for Internet-Scale Language Resource Creation (Extended Abstract)
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion
Interference-free Walks in Time: Temporally Disjoint Paths
A Logically Complete Reasoning Maintenance System Based on a Logical Constraint Solver
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs