yusuke1997/dblp-id-title huggingface dataset:
Eliminating Expensive Chunks by Restricting Expressiveness
Controllable Text Generation for Open-Domain Creativity and Fairness
Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
LTLf+ and PPLTL+: Extending LTLf and PPLTL to Infinite Traces
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
A Bitwise GAC Algorithm for Alldifferent Constraints
Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models
A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings
A Case Study in Structured Knowledge Acquisition
Group Sparse Optimal Transport for Sparse Process Flexibility Design
Generalized Transitive Distance with Minimum Spanning Random Forest
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
Solving QNP and FOND+ with Generating, Testing and Forbidding
Doubly Sparsifying Network
Sample selection in natural language learning
A Simplifier for Propositional Formulas with Many Binary Clauses
Reasoning about Probabilities in Unbounded First-Order Dynamical Domains
Fair Submodular Maximization over a Knapsack Constraint
In-context Learning Demonstration Generation with Text Distillation
Supervised Representation Learning: Transfer Learning with Deep Autoencoders
A Faithful Integration of Description Logics with Logic Programming
Balancing Explicability and Explanations in Human-Aware Planning
Learning Consumer Photo Categories for Semantic Retrieval
Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs
ForgDiffuser: General Image Forgery Localization with Diffusion Models
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
Deterministic Binary Filters for Convolutional Neural Networks
Support Relation Analysis for Objects in Multiple View RGB-D Images
Iterative Tree Search in General Game Playing with Incomplete Information
Modeling Multivariate Spatio-Temporal Remote Sensing Data with Large Gaps
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
Using core beliefs for point-based value iteration
SWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty
Dividing Conflicting Items Fairly
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
A Model of Decidable Introspective Reasoning with Quantifying-In
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
Towards Robust Dense Retrieval via Local Ranking Alignment
SAPHIR + RESEDA: A New Approach to Intelligent Data Base Access
Finding (α, ϑ)-Solutions via Sampled SCSPs
Control of Agent Swarms Using Generalized Centroidal Cyclic Pursuit Laws
Computer Understanding of Mathematical Proofs
Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach
A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections
Preprocessing Search Spaces for Branch and Bound Search
TULIPS - Teachable, Understanding Natural Language Input Problem-Solver
Automated Conjecturing I: Fajtlowicz's Dalmatian Heuristic Revisited (Extended Abstract)
Planning with SAT, Admissible Heuristics and A*
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction
Planning under Uncertainty and Temporally Extended Goals
Three-Dimensional Modeling
Planning with Abstraction Hierarchies can be Exponentially Less Efficient
GDL-III: A Description Language for Epistemic General Game Playing
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Rethinking InfoNCE: How Many Negative Samples Do You Need?
Comparison of Different Grid Abstractions for Pathfinding on Maps
ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism
UIBert: Learning Generic Multimodal Representations for UI Understanding
AutoAgents: A Framework for Automatic Agent Generation
Learning Concept Classification Rules Using Genetic Algorithms
Multi-Agent System that Attains Longevity via Death
Design of a Low Cost, General Purpose Robot
Database-Text Alignment via Structured Multilabel Classification
Enhancing Network by Reinforcement Learning and Neural Confined Local Search
Model-Guided Monitoring of a Building Environment by a Mobile Robot
Asymptotic Fair Division: Chores Are Easier Than Goods
Collaborative Self-Attention Network for Session-based Recommendation
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities
HCP with PSMA: A Robust Spoken Language Parser
Learning Aggregation Functions
Hierarchical Transformer for Scalable Graph Learning
Adaptive Web Sites: Conceptual Cluster Mining
On the Discovery of Mathematical Theorems
Domain Abstraction and Limited Reasoning
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search
Extractive and Abstractive Event Summarization over Streaming Web Text
Extended Increasing Cost Tree Search for Non-Unit Cost Domains
Best-First Fixed-Depth Game-Tree Search in Practice
Bilinear Graph Neural Network with Neighbor Interactions
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Search on High Degree Graphs
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules
Fine-Grained View on Bribery for Group Identification
On Reversing Actions: Algorithms and Complexity
Structured Modeling Language for Automated Modeling in Causal Networks
Synthesising Minimum Cost Dynamic Norms
Manipulation Extrapolation: A System for Controlling Trainable Robots
Music Information Processing System and Its Applications to Comparative Musicology
ATL Strategic Reasoning Meets Correlated Equilibrium
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding
Feature Generation for Text Categorization Using World Knowledge
Greedy Algorithms for Sequential Sensing Decisions
An Architecture for Knowledge Based Deduction
Temporal Decision Trees or the lazy ECU vindicated
A Space Alignment Method for Cold-Start TV Show Recommendations
MARS: Multimodal Active Robotic Sensing for Articulated Characterization
Viewing Word Expert Parsing as Linguistic Theory
Feature Selection Based on the Shapley Value
Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification
HEMI: Hyperedge Majority Influence Maximization
Bonus or Not? Learn to Reward in Crowdsourcing
Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance
Understanding and Improving LISP Programs
Speech Training Systems Using Lateral Shapes of Vocal Tract and F1-F2 Diagram for Hearing-Impaired Children
Learning When to Use Automatic Tabulation in Constraint Model Reformulation
Overview of 'Planning Speech Acts'
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
Symbolic Evaluation of LISP Functions with Side Effects for Verification
SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples
An Experimental View on Committees Providing Justified Representation
Dual-Cross Central Difference Network for Face Anti-Spoofing
An Ontology-Based Knowledge Management Platform
CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks
DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
Exploiting Sensorimotor Coordination for Learning to Recognize Objects
A Lemma Driven Automatic Theorem Prover for Recursive Function Theory
Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering
Integrating different learning approaches into a multilingual spoken language translation system
InstructME: An Instruction Guided Music Edit Framework with Latent Diffusion Models
Robust Feature Selection on Incomplete Data
The Inclusion-Exclusion Rule and its Application to the Junction Tree Algorithm
Online Symbolic Gradient-Based Optimization for Factored Action MDPs
Bounded Search and Symbolic Inference for Constraint Optimization
Network Regions: Alternatives to the Winner-Take-All Structure
High-Fidelity Road Network Generation with Latent Diffusion Models
Argumentative XAI: A Survey
Argo: Towards Small Vessel Detection for Humanitarian Purposes
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion
TINA: The Sheffeild AIVRU Vision System
Dynamic Multiple High-order Correlations Fusion with Noise Filtering for Incomplete Multi-view Noisy-label Learning
Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis
Improving Heterogeneous Model Reuse by Density Estimation
Mind the Eigen-Gap, or How to Accelerate Semi-Supervised Spectral Learning Algorithms
Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion
NeuRec: On Nonlinear Transformation for Personalized Ranking
Game Theoretic Analysis of Security and Sustainability
The Origin of the Binary-Search Paradigm
Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking
Cross-Modality Person Re-Identification with Generative Adversarial Training
An Explanation-based Approach to Generalizing Number
Segmenting Chinese Microtext: Joint Informal-Word Detection and Segmentation with Neural Networks
Character-Based Parsing with Convolutional Neural Network
Low-Resource NER by Data Augmentation With Prompting
An Application of Possibility Theory Information Fusion to Satellite Image Classification
BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling
Matchings under One-Sided Preferences with Soft Quotas
NIM: Scalable Distributed Stream Processing System on Mobile Network Data
The Origins of Syntax in Visually Grounded Robotic Agents
Verifiable Equilibria in Boolean Games
Bayesian Policy Search with Policy Priors
An Incremental Theorem Prover
Graph Embedded Contrastive Learning for Multi-View Clustering
Exploiting Domain structure to Achieve Efficient Temporal Reasoning
Metric Learning on Healthcare Data with Incomplete Modalities
DBDNet: Learning Bi-directional Dynamics for Early Action Prediction
Voting in Two-Crossing Elections
Multi-Channel Graph Neural Networks
Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks
Open Loop Execution of Tree-Search Algorithms
Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021
Personalisation of Web Search
SynthNet: Learning to Synthesize Music End-to-End
Delayed Duplicate Detection: Extended Abstract
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
Regularizing Flat Latent Variables with Hierarchical Structures
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
Interactive concept-map based summaries for SEND children
Enhancing Manufacturing with AI-powered Process Design
Optimality, Accuracy, and Efficiency of an Exact Functional Test
Graphical Deep Knowledge for Intelligent Machine Drafting
Synthesizing Least Fixed Point Queries Into Non-Recursive Iterative Programs
A Knowledge-Based Approach to Language Processing: A Progress Report
Agent-Based Negotiation Teams
Recognition Of An Object in A Stack Of Industrial Parts
The Combined Approach to Ontology-Based Data Access
Coalitional Games via Network Flows
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
Artificial Intelligence for Research and Democracy - First International Workshop, AI4Research 2024, and 4th International Workshop, DemocrAI 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 5, 2024, Proceedings
Partial Label Learning by Semantic Difference Maximization
Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code
Engineering an Efficient Approximate DNF-Counter
Cross-modal Bidirectional Translation via Reinforcement Learning
Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning
Segmentation Processes in the VISIONS System
Selecting Tense, Aspect, and Connecting Words In Language Generation
Two Demarcation Problems In Ontology
From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax
On Retrospecting Human Dynamics with Attention
Deep Neural Network Loses Attention to Adversarial Images
Probabilistic Matrix Inspection and Group Scheduling
Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation
Transferring Learned Control-Knowledge between Planners
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Evaluating Market User Interfaces for Electric Vehicle Charging using Bid2Charge
Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering
Answer Extraction from Passage Graph for Question Answering
Integrating Explanatory and Descriptive Learning in ILP
Conflict Directed Backjumping for Max-CSPs
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining
Evaluating Understanding on Conceptual Abstraction Benchmarks
Verified Certificates via SAT and Computer Algebra Systems for the Ramsey R(3, 8) and R(3, 9) Problems
Generalized Reaction Functions for Solving Complex-Task Allocation Problems
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard
A Proximity Metric for Continuum Path Planning
Ties Matter: Complexity of Voting Manipulation Revisited
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Lexical Sememe Prediction via Word Embeddings and Matrix Factorization
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction
Mindful Active Learning
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract)
Argumentation: Planning Other Agents' Plans
Discrimination of Semi-Quantitative Models by Experiment Selection: Method and Application in Population Biology
A Parallel-Process Model of On-Line Inference Processing
Decomposition Strategies to Count Integer Solutions over Linear Constraints
Online Reputation Fraud Campaign Detection in User Ratings
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
Graph Neural Convection-Diffusion with Heterophily
Universal Plans for Reactive Robots in Unpredictable Environments
Tractable Inquiry in Information-Rich Environments
Jointly Learning Data-Dependent Label and Locality-Preserving Projections
Arbitration and Stability in Cooperative Games with Overlapping Coalitions
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
On Explaining Random Forests with SAT
A Simplified Heuristic Version of Raviv's Algorithm for Using Context in Text Recognition
A Formal Modeling Scheme for Continuous Systems: Focus on Diagnosis
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
A Scheme for Agent Collaboration in Open Multiagent Environments
A Uniform Model for Object-Oriented Languages Using the Class Abstraction
Transformable Convolutional Neural Network for Text Classification
Generalization of the Dempster-Shafer Theory
Analyzing Tie-Breaking Strategies for the A* Algorithm
Strategically knowing how
Measuring Statistical Dependence via the Mutual Information Dimension
A Two-dimensional Trim-Loss Problem with Sequencing Constraints
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
A Multi-level Planning and Navigation System for a Mobile Robot: A First Approach to HILARE
A Reactive Scheduling Agent
Breaking Symmetries in Graph Representation
Novel Structural Parameters for Acyclic Planning Using Tree Embeddings
Conditional Preference Network with Constraints and Uncertainty
Finite Domain Constraint Solver Learning
Scalable Non-observational Predicate Learning in ASP
Swarm Intelligence for Self-Organized Clustering (Extended Abstract)
Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation
IJCAI-09 Keynote and Invited Speakers
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract)
Control and Integration of Diverse Knowledge in a Diagnostic Expert System
CSNN: An Augmented Spiking based Framework with Perceptron-Inception
Topological Value Iteration Algorithm for Markov Decision Processes
Learning with Posterior Sampling for Revenue Management under Time-varying Demand
Exchange of Indivisible Objects with Asymmetry
Robust Periodic Planning and Execution for Autonomous Spacecraft
Proceedings of the Second Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2021 International Joint Conference on Artificial Intelligence, AI4Function@IJCAI 2021, Online, August 20-21, 2021
Parallel Formulation of Evidential-Reasoning Theories
Name Nationality Classification with Recurrent Neural Networks
On Natural Language Processing and Plan Recognition
Learning Transferable UAV for Forest Visual Perception
Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update
Tackling the Partner Units Configuration Problem
Probabilistic State Translation in Extensive Games with Large Action Sets
Efficient Bayesian Clustering for Reinforcement Learning
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases (Extended Abstract)
EditSinger: Zero-Shot Text-Based Singing Voice Editing System with Diverse Prosody Modeling
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization
Partial Label Learning with Unlabeled Data
Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
On the Logic of Normative Systems
Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
Generating Robust Audio Adversarial Examples with Temporal Dependency
Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection
Syllogistic Reasoning as a Basis for Combination of Evidence in Expert Systems
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
Repair Strategies in a Diagnostic Expert System
Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning
The RoboEarth Language: Representing and Exchanging Knowledge about Actions, Objects, and Environments (Extended Abstract)
From Weighted to Unweighted Model Counting
A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration
Cake Cutting: Envy and Truth
Ensemble Multi-Relational Graph Neural Networks
Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection
The Hard Problems Are Almost Everywhere For Random CNF-XOR Formulas
Maximum Entropy and Variable Strength Defaults
Phonovisual Biases in Language: is the Lexicon Tied to the Visual World?
Lifted Filtering via Exchangeable Decomposition
An Algorithm that Infers Theories from Facts
People in the Context - an Analysis of Game-based Experimental Protocol
Segmenting Transparent Objects in the Wild with Transformer
Two-Stage Generative Models of Simulating Training Data at The Voxel Level for Large-Scale Microscopy Bioimage Segmentation
Learning Causally Disentangled Representations for Fair Personality Detection
A Framework for Processing Corrections in Task-Oriented Dialogues
How to Sample Approval Elections?
Adversarial Hierarchical-Task Network Planning for Complex Real-Time Games
Concepts and Methods for Heuristic Search
Coordinating Logistics Operations with Privacy Guarantees
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference
Application of Questionnaire Theory to Pattern Recognition
Shape from Texture
Selective Norm Monitoring
Information-Theoretic Approaches to Branching in Search
Neural Machine Translation with Key-Value Memory-Augmented Attention
Planning as Model Checking for Extended Goals in Non-deterministic Domains
Phase Transitions of PP-Complete Satisfiability Problems
Influence Maximization Based on the Least Influential Spreaders
Predicting observable and occult injuries in trauma patients from sparse measurements
Survey on Efficient Training of Large Neural Networks
Neural Entity Summarization with Joint Encoding and Weak Supervision
Externalities in Cake Cutting
Triangulation of 3-D Objects
Interpretation of best medical coding practices by case-based reasoning - A user assistance prototype for data collection for cancer registries
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction
Weakly-Supervised Movie Trailer Generation Driven by Multi-Modal Semantic Consistency
Relation Extraction Using Supervision from Topic Knowledge of Relation Labels
Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning
A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
Scalable Constraint-based Virtual Data Center Allocation
Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Depth Discontinuities
PARTS INFERENCE: Closed and Semi-Closed Partitioning Graphs
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)
Fast Linearization of Tree Kernels over Large-Scale Data
Automated Sifting of Stories from Simulated Storyworlds
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
Satisfiability of Boolean Formulas over Linear Constraints
Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning
Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence - IJCAI 2009
Recognition and Depth Perception of Objects in Real World Scenes
Multiple Partitions Aligned Clustering
User Modeling with Neural Network for Review Rating Prediction
Concepts in Conceptual Clustering
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
Towards Efficient Detection and Optimal Response against Sophisticated Opponents
On Sampled Metrics for Item Recommendation (Extended Abstract)
Identifying Synonyms among Distributionally Similar Words