yusuke1997/dblp-id-title huggingface dataset:
Theory of Alignment Generators and Applications to Statistical Machine Translation
Unified Evidence Enhancement Inference Framework for Fake News Detection
Correspondence in Line Drawings of Multiple Views of Objects
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms (Extended Abstract)
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval
Modeling Living Systems for Computer Vision
Data-Efficient Reinforcement Learning for Malaria Control
Description Logics and Fuzzy Probability
Real-Time BDI Agents: A Model and Its Implementation
A Framework for Long-Term Learning Systems
Reasoning About the Sizes of Sets: Progress, Problems, and Prospects
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback
Knowledge Engineering Tools at the Architecture Level
Managing Decision Resources in Plan Execution
Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up
Thompson Sampling for Bandit Learning in Matching Markets
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
Markov Network Based Ontology Matching
A Wrinkle on Satisficing Search Problems
Trade the System Efficiency for the Income Equality of Drivers in Rideshare
Computing Optimal Hypertree Decompositions with SAT
Scalable Gaussian Process Regression Using Deep Neural Networks
General Purpose Models: Expectations About The Unexpected
Semantic Characterization of Data Services through Ontologies
Compound Effects of Top-down and Bottom-up Influences on Visual Attention During Action Recognition
Factorized Asymptotic Bayesian Policy Search for POMDPs
Computational Complexity of Planning with Temporal Goals
The Declarative Representation and Procedural Simulation of Causality in Physical Mechanisms
Eliminating Disjunctions in Answer Set Programming by Restricted Unfolding
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies
Conservative Rewritability of Description Logic TBoxes
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems
AI Planning for Enterprise: Putting Theory Into Practice
E-Resolution: Extension of Resolution to Include the Equality Relation
The General Game Playing Description Language Is Universal
Locality Preserving Projections for Grassmann manifold
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation
A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval
Potential Based Reward Shaping for Hierarchical Reinforcement Learning
A Hybrid Rule-based System: How Variables are Involved in Connectionist Rule-based Systems
No Faults in Structure? How to Diagnose Hidden Interactions
Relating Carneades with Abstract Argumentation
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
A Portfolio Approach to Algorithm Selection
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Faster Training Algorithms for Structured Sparsity-Inducing Norm
Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks
Artificial Intelligence, Bias, and Ethics
An On-Line Time Warping Algorithm for Tracking Musical Performances
The Range of Applicability of Nonmonotonic Logics for the Inertia Problem
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
Classification in the KL-ONE Knowledge Representation System
Construction of Viral Hepatitis Bilingual Bibliographic Database with Protein Text Mining and Information Integration Functions
Tosca: Operationalizing Commitments Over Information Protocols
Digital Avatars: Framework Development and Their Evaluation
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation
Connect Multi-Agent Path Finding: Generation and Visualization
Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images
Challenges in Bridging Plan Synthesis Paradigms
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
Probabilistic Reasoning for Plan Robustness
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework
Kernel Contraction and Base Dependence: Redundancy in the Base Resulting in Different Types of Dependence
From 2D to 3D: AISG-SLA Visual Localization Challenge
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism
Model Checking Multi-Agent Systems against LDLK Specifications
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)
Learning information extraction patterns from examples
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Critic
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Active Diagnosis by Self-Organization: An Approach by The Immune Network Metaphor
A Survey on Efficient Training of Transformers
Multi-Label Co-Training
Reasoning in Incomplete Domains
POMP: Pathology-omics Multimodal Pre-training Framework for Cancer Survival Prediction
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
Towards Discourse-Aware Document-Level Neural Machine Translation
ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning
Aggregating Crowd Wisdoms with Label-aware Autoencoders
Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach
Interactive Narrative Personalization with Deep Reinforcement Learning
LAMA: A Language for Automatic Mechanical Assembly
Explaining Search Results
The Route to Success - A Performance Comparison of Diagnosis Algorithms
Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10, 000 Robot Swarm
Behavior Planning for a Reflexive Agent
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences
A General Approach to Environment Design with One Agent
A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract)
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects
An Active Frame for the Knowledge Representation
Measuring Structural Similarities in Finite MDPs
Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression
Learning to Understand Web Site Update Requests
Empirical and Model-based Reasoning in Expert Systems
Stable Roommate Problem with Diversity Preferences
Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval
Active Learning for Structure in Bayesian Networks
Detecting Deepfake Videos with Temporal Dropout 3DCNN
Landmarks for Numeric Planning Problems
Workshop on Artificial Intelligence in Affective Computing, AffComp@IJCAI 2019, 10 August 2019, Macao, China
Towards Fast Algorithms for the Preference Consistency Problem Based on Hierarchical Models
Applying an existing machine learning algorithm to text categorization
Requisite Variety in Ethical Utility Functions for AI Value Alignment
Multi-Class Classifiers and their Underlying Shared Structure
FCA-MERGE: Bottom-Up Merging of Ontologies
Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach
SMACk: An Argumentation Framework for Opinion Mining
Aggressive Driving Saves More Time? Multi-task Learning for Customized Travel Time Estimation
Process-Oriented Estimation of Generalization Error
CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting
Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation
The Spatio-Temporal Representation of Natural Reading
Dissecting German Grammar and Swiss Passports: Open-Domain Decomposition of Compositional Entries in Large-Scale Knowledge Repositories
Abstract Routing Models and Abstractions in the Context of Vehicle Routing
Recent Advances on Neural Network Pruning at Initialization
Knowledge-Based Experiment Design in Molecular Genetics
Generalizing the Single-Crossing Property on Lines and Trees to Intermediate Preferences on Median Graphs
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
Prediction of Individual Eating Habits Using Short-Term Food Recording
Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Montreal, QC, Canada, August 19-20, 2021, Revised Selected Papers
A Scalable Approach to Chasing Multiple Moving Targets with Multiple Agents
Improving Reinforcement Learning with Human Input
A Recognition Method of Connected Spoken Words With Syntactical Constraints by Augmented Continuous DP Algorithm
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI (Extended Abstract)
Free Lunch of Image-mask Alignment for Anomaly Image Generation and Segmentation
Concept Formation by Incremental Conceptual Clustering
Image Captioning with Compositional Neural Module Networks
MotionMixer: MLP-based 3D Human Body Pose Forecasting
Landmark-Based Heuristics and Search Control for Automated Planning (Extended Abstract)
Using a Mobile Robot for Cognitive Mapping
Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation
2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting
Are Many Reactive Agents Better Than a Few Deliberative Ones?
Multi-Kernel Gaussian Processes
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
A Model for Functional Reasoning in Design
Entropy-Penalized Semidefinite Programming
Emergent Tangled Program Graphs in Multi-Task Learning
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics
Coverage-Optimized Retrieval
Phase Transitions within Grammatical Inference
Cyber Assist Project for Ambient Intelligence
Color Algorithms for a General Vision System
Multi-Label Text Classification with Label Attention Aware and Correlation Aware Contrastive Learning
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning
Ddo, a Generic and Efficient Framework for MDD-Based Optimization
Combine Constituent and Dependency Parsing via Reranking
Exactly How Good Are Heuristics?: Toward a Realistic Predictive Theory of Best-First Search
Model-Based Diagnosis using Causal Networks
Discriminative-Invariant Representation Learning for Unbiased Recommendation
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
Generating Plans for Cooperative Connected UAVs
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints
Ordering Heuristics for Description Logic Reasoning
Posted Pricing sans Discrimination
Learning-Based Abstractions for Nonlinear Constraint Solving
Search in a Small World
Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems
Extending The Expressive Power Of Semantic Networks
Episodic Memory Deep Q-Networks
Reasoning about Fuzzy Belief and Common Belief: With Emphasis on Incomparable Beliefs
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics
Counterfactual Fairness: Unidentification, Bound and Algorithm
Selling Reserved Instances in Cloud Computing
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem
A Logical Model of Knowledge
Structural Symmetries for Fully Observable Nondeterministic Planning
Unsupervised Dimensionality Estimation and Manifold Learning in high-dimensional Spaces by Tensor Voting
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes
Safety-aware Active Learning with Perceptual Ambiguity and Criticality Assessment
Handling Alternative Activities in Resource-Constrained Project Scheduling Problems
Taming the Computational Complexity of Combinatorial Auctions: Optimal and Approximate Approaches
A Spiking Neural Network for Brain-Computer Interface of Four Classes Motor Imagery
The Avoidance of (Relative) Catastrophe, Heuristic Competence, Genuine Dynamic Weighting and Computational Issues in Heuristic Problem Solving
Preventing Disparate Treatment in Sequential Decision Making
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space
Deep Annotation for Information Integration
The Detection and Exploitation of Symmetry in Planning Problems
Parallel Belief Revision via Order Aggregation
Unsupervised Human Action Categorization with Consensus Information Bottleneck Method
A New Semantics for Overriding in Description Logics (Extended Abstract)
The XCALIBUR Project: A Natural Language Interface to Expert Systems
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
First-Order Expressibility and Boundedness of Disjunctive Logic Programs
An FPTAS for Computing Nash Equilibrium in Resource Graph Games
Machine Learning Methods in the Inclinometers Readings Anomaly Detection Issue on the Example of Tailings Storage Facility
A Replication Study of Semantics in Argumentation
Yes, An SIMD Machine Can Be Used for AI
On Translations between ML Models for XAI Purposes
Permissions and Obligations
Engineering Socially-Oriented Autonomous Agents and Multiagent Systems
Robust Losses for Decision-Focused Learning
Belief Update for Proper Epistemic Knowledge Bases
Scope and Abstraction: Two Criteria for Localized Planning
Pattern Clustering: An Artificial Intelligence Approach
AI Multimedia and Education
DeepVentilation: Learning to Predict Physical Effort from Breathing
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
Hierarchical State Abstraction based on Structural Information Principles
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis
Some Reflections on the Relationship between AI and Fuzzy Logic (FL) - A Heretical View
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
Dynamics of Temporal Difference Learning
Exact Acceleration of K-Means++ and K-Means||
An Inference Rule for Hypothesis Generation
Is It Enough to Get the Behavior Right?
Proving Theorems about LISP Functions
Approximately Maximizing the Broker's Profit in a Two-sided Market
Explainable Inference on Sequential Data via Memory-Tracking
FLS: A New Local Search Algorithm for K-means with Smaller Search Space
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing
Intelligent Case Selection and Presentation
Public Signaling in Bayesian Ad Auctions
Physical Adversarial Camouflage Through Gradient Calibration and Regularization
Informality in Program Specifications
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis
SAR-to-Optical Image Translation via Neural Partial Differential Equations
A Two Level Modular System for Natural Language Understanding
Generalizing the Edge-Finder Rule for the Cumulative Constraint
Active Learning with Ensembles for Image Classification
Learning Qualitative Models from Numerical Data: Extended abstract
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
Modal Interpretations of Default Logic
Knowledge Based Approach for Mechanically Verifying Security Protocols
Raising the Bar in Graph-level Anomaly Detection
An Expert-Level Card Playing Agent Based on a Variant of Perfect Information Monte Carlo Sampling
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
Hybrid Elections Broaden Complexity-Theoretic Resistance to Control
An Effective Learning Method for Max-Min Neural Networks
Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs
A Survey on Network Alignment: Approaches, Applications and Future Directions
Learning Racquetball by Constrained Example Generation
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions
Themis: A Fair Evaluation Platform for Computer Vision Competitions
Arguments of Persuasion in Labour Mediation
Controllable Procedural Content Generation via Constrained Multi-Dimensional Markov Chain Sampling
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Implicit Cognition and Understanding Unobserved Human Mind States by Machines
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?
Hill Climbing on Value Estimates for Search-control in Dyna
Optimizing Interactive Systems with Data-Driven Objectives
Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation
Generalizing Term Subsumption Languages to Fuzzy Logic
A Many-Sorted Resolution Based on an Extension of a First-Order Language
Registry-Based Support for Information Integration
The Role of Constraints and Discontinuities in Visible-Surface Reconstruction
SVD-Based Screening for the Graphical Lasso
Belief Change Based on Global Minimisation
Concept-based Chatbot for Interactive Query Refinement in Product Search
Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation
Ambiguity-Directed Sampling for Qualitative Analysis of Sparse Data from Spatially-Distributed Physical Systems
DyNMF: Role Analytics in Dynamic Social Networks
Graph Space Embedding
Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction
Experiences Implementing a Parallel ATMS on a Shared-Memory Multiprocessor
Automatic Truss Design with Reinforcement Learning
Reasoning About Causal Knowledge in Nondeterministic Domains
Modeling the Basic Meanings of Path Relations
Explainable Graph Representation Learning via Graph Pattern Analysis
Designing the Game to Play: Optimizing Payoff Structure in Security Games
Compressed Spectral Regression for Efficient Nonlinear Dimensionality Reduction
Knowledge Compilation Meets Communication Complexity
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering
The Abstraction/Implementation Model of Problem Reformulation
Inference with Multinomial Data: Why to Weaken the Prior Strength
Ensemble-Based Coreference Resolution
A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing
SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain
Multiway Attention Networks for Modeling Sentence Pairs
Concept Decomposition as a Method of Concept Formation
Active Recurrence of Lighting Condition for Fine-Grained Change Detection
Efficient Computation of General Modules for ALC Ontologies
How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements
Tailoring Explanations for the User
Correlation Clustering for Crosslingual Link Detection
Self-boosting for Feature Distillation
Resolution-invariant Person Re-Identification
Test-time Fourier Style Calibration for Domain Generalization
On the (In)Tractability of Reinforcement Learning for LTL Objectives
Delegated Online Search
Locality Preserving Nonnegative Matrix Factorization
A Representation Framework for Continuous Dynamic Systems
Silk: A Simulation Study of Regulating Open Normative Multiagent Systems
Submodular Batch Selection for Training Deep Neural Networks
Manifold Alignment without Correspondence
On the Resiliency of Unit Propagation to Max-Resolution
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation
Efficient Approach to Solve the Minimal Labeling Problem of Temporal and Spatial Qualitative Constraints
Integrating Partial Order Reduction and Symmetry Elimination for Cost-Optimal Classical Planning
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection
Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex
Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment
Representation Theorems for Multiple Belief Changes
A Computational Structure for the Propositional Calculus
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New-York, USA, July 11, 2016
A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data
Deep-dense Conditional Random Fields for Object Co-segmentation
On the Evolution of Memory Size in the Minority Game (extended abstract)
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Uncertainty-Guided Pixel Contrastive Learning for Semi-Supervised Medical Image Segmentation
Things That Change by Themselves
Attachment Centrality for Weighted Graphs
Probabilistic Reasoning with Hierarchically Structured Variables
An Interactive Visualization Platform for Deep Symbolic Regression
Online Approval Committee Elections
Expressiveness of the Interval Logics of Allen's Relations on the Class of All Linear Orders: Complete Classification
Query Answering Using Ontologies in Agent-based Resource Sharing Environment for Biological Web Information Integrating
Constraint Satisfaction over Connected Row Convex Constraints
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
MCM: Multi-condition Motion Synthesis Framework
gRegress: Extracting Features from Graph Transactions for Regression
Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment
Non-Cumulative Learning in METAXA.3
Summarizing Process Traces for Analysis Tasks: An Intuitive and User-controlled Approach
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
AQT: Adversarial Query Transformers for Domain Adaptive Object Detection
Qualitative Motion Understanding
Cost Ensemble with Gradient Selecting for GANs
Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene via Deep Learning
Regularized Latent Least Square Regression for Cross Pose Face Recognition
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
Adaptation of a Mixture of Multivariate Bernoulli Distributions
Sources and Information Reliability Measures
Stochastic Search and Phase Transitions: AI Meets Physics
Fair Allocation based on Diminishing Differences
Analyzing Images Containing Multiple Sparse Patterns with Neural Networks
I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
Asystent - a Prototype of a Motivating Electronic Assistant
A Fast Normalized Maximum Likelihood Algorithm for Multinomial Data
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Combining Two Local Search Approaches to Hypergraph Partitioning
Dialogue Cohesion Sharing and Adjusting in an Enhanced Multimodal Environment
TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Records