yusuke1997/dblp-id-title huggingface dataset:
Rotation Invariant Spatial Networks for Single-View Point Cloud Classification
Exploring Structural Similarity in Fitness Landscapes via Graph Data Mining: A Case Study on Number Partitioning Problems
Committee Scoring Rules: Axiomatic Classification and Hierarchy
An Experimental Investigation on the Pancake Problem
Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching
Attribution Quality Metrics with Magnitude Alignment
Localized Search for Multiagent Planning
Information Injection to Deep Learning Solutions in Knowledge Transfer
Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection
Learning discontinuities for switching between local models
The Parameterized Complexity of Finding Concise Local Explanations
Ownership Concentration and Wealth Inequality in Russia
Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying
Face Recognition via the Overlapping Energy Histogram
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Fine-grained Complexity of Partial Minimum Satisfiability
A Simple Framework for Cognitive Planning (poster)
A Critical Look at Critics in HTN Planning
Multi-Type Activity Recognition from a Robot's Viewpoint
Learning from Multimedia Data with Incomplete Information
Cost-Optimal and Net-Benefit Planning - A Parameterised Complexity View
GANAK: A Scalable Probabilistic Exact Model Counter
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
Robust Optimization for Hybrid MDPs with State-Dependent Noise
A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
Visual Analytics for Guiding Feature Attribution Method Selection
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
A Machine Learning Approach to Building Domain-Specific Search Engines
Solving Long-run Average Reward Robust MDPs via Stochastic Games
Graph Collaborative Expert Finding with Contrastive Learning
Abnormal Activity Recognition Based on HDP-HMM Models
Graphical One-Sided Markets
Was the Title of This Talk Gernerated Automatically? Prospects on Intelligent Interfaces and Language
Neural Networks for Predicting Human Interactions in Repeated Games
Grounding GDL Game Descriptions
TELEGRAM: A Grammar Formalism for Language Planning
Hardware Diagnosis as Program Debugging
Deep Matrix Factorization Models for Recommender Systems
Representing Kriegspiel States with Metapositions
A flexible and robust similarity measure based on contextual probability
Vitality Indices are Equivalent to Induced Game-Theoretic Centralities
Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits
Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks
Argumentation System with Changes of an Agent's Knowledge Base
Alignment Algorithms for Learning to Read Aloud
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition
Strategic Abstention Based on Preference Extensions: Positive Results and Computer-Generated Impossibilities
Disconfounding Fake News Video Explanation with Causal Inference
Investigations of Continual Computation
An Organization For A Dictionary of Senses
Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification
Propagation of Preference Relations in Qualitative Inference Networks
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection (Extended Abstract)
Reasoning with Incomplete Initial Information and Nondeterminism in Situation Calculus
Constraint-driven hierarchical information extraction
Action Selection for Hammer Shots in Curling
Abstract Dialectical Frameworks Revisited
Verifying Integrity Constraints on Web Sites
Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths
Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies
Planning in Nondeterministic Domains under Partial Observability via Symbolic Model Checking
Impossibility of Unambiguous Communication as a Source of Failure in AI Systems
Conditional Answers in Question-Answering Systems
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
Interpreting Written How-To Instructions
An Extension to Conformant Planning Using Logic Programming
A Deep Bi-directional Attention Network for Human Motion Recovery
Reachability, Relevance, Resolution and the Planning as Satisfiability Approach
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning
A Multi-task Learning Approach for Image Captioning
Distribution-Aware Online Classifiers
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
Constraint Games for Stable and Optimal Allocation of Demands in SDN
LIFT: Multi-Label Learning with Label-Specific Features
Realising Deterministic Behavior from Multiple Non-Deterministic Behaviors
A Symbolic Approach to Computing Disjunctive Association Rules from Data
EQL-Lite: Effective First-Order Query Processing in Description Logics
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
Generalized Relational Topic Models with Data Augmentation
Stable Model Semantics of Abstract Dialectical Frameworks Revisited: A Logic Programming Perspective
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
Measuring the Good and the Bad in Inconsistent Information
Temporal Difference Learning Applied to a High-Performance Game-Playing Program
Efficient Extraction and Representation of Spatial Information from Video Data
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning
Similarity-Based Reasoning, Raven's Matrices, and General Intelligence
Context Sensitive Topic Models for Author Influence in Document Networks
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams
A Maneuvering-Board Approach to Path Planning with Moving Obstacles
When Evolving Populations is Better than Coevolving Individuals: The Blind Mice Problem
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Combining Constraint Solving and Bayesian Techniques for System Optimization
End to end influence maximization for HIV prevention
Drafting and Revision: Advancing High-Fidelity Video Inpainting
A Pictorial Approach to Object Classification
Constructive Induction On Decision Trees
Search Strategies as Synchronous Processes (Extended Abstract)
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness
Change of Representation for Statistical Relational Learning
An Efficient Robot Planner which Generates Its Own Procedures
Nash Welfare in the Facility Location Problem
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition
Cost-Effective Active Learning from Diverse Labelers
Listening Style-Aware Dyadic Facial Motion Generation
Integrating Social Network Structure into Online Feature Selection
A Methodological Framework for Measuring Spatial Labeling Similarity
A Probabilistic Learning Method for XML Annotation of Documents
NLG - Natural Language Graphics
Structural Symmetry Breaking
Conversation as Planned Behavior
Event-based Action Recognition Using Motion Information and Spiking Neural Networks
Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction
Updating the Belief Promotion Operator
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
Directionality of Attacks in Natural Language Argumentation
First-Order Model Counting in a Nutshell
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection
H-Net: Neural Network for Cross-domain Image Patch Matching
Bimodal Switching for Online Planning in Multiagent Settings
Stochastic Shortest Path with Adversarially Changing Costs
An Examination of Brute Force Intelligence
Intelligent Tutoring Systems: New Challenges and Directions
Qualitative Temporal Reasoning with Points and Durations
Program and Protocol Analysis on a Mental Imagery Task
Multimodal Retina Image Analysis Survey: Datasets, Tasks and Methods
RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests
OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
Making Inferences in Natural Language Dialogs
Learning of Abstractions from Structural Descriptions of Pictures
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features
Real-Time Heuristic Search with Depression Avoidance
Building Structure into Local Search for SAT
Preliminary Study Towards a Fuzzy Model for Visual Attention
Intrinsic, Dialogic, and Impact Measures of Success for Explainable AI
Discrete Trust-aware Matrix Factorization for Fast Recommendation
Practical Computing with Pattern Structures in FCART Environment
Tamper-Proof Privacy Auditing for Artificial Intelligence Systems
Semi-Supervised Optimal Margin Distribution Machines
Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution
First-Order Modal Logic Theorem Proving and Functional Simulation
Opponent Modeling in Multi-Agent Systems
Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion
Memorizing the Playout Policy
Redividing the Cake
On the Construction of Evaluation Functions for Large Domains
ScriptWorld: Text Based Environment for Learning Procedural Knowledge
Player Goal Recognition in Open-World Digital Games with Long Short-Term Memory Networks
Abstraction-based Action Ordering in Planning
Joint Capped Norms Minimization for Robust Matrix Recovery
Automatically Selecting Answer Templates to Respond to Customer Emails
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract)
Variable-Delay Controllability
The Ceteris Paribus Structure of Logics of Game Forms (Extended Abstract)
Fusion of Granular-Ball Visual Spatial Representations for Enhanced Facial Expression Recognition
Keyword-Based TV Program Recommendation
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
AI-Driven Sign Language Interpretation for Nigerian Children at Home
Phrase Table as Recommendation Memory for Neural Machine Translation
Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract)
Multiobjective Routing in Sustainable Mobility-On-Demand
GARI: A Problem Solver That Plans How to Machine Mechanical Parts
Fast Recommendations using GAI Models
Binarized Collaborative Filtering with Distilling Graph Convolutional Network
A Shell for Intelligent Help Systems
Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning
Heuristic Algorithms for Automated Space Planning
SPARK: A System for Parallel Representation of Knowledge
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction
Dynamic Bandits with Temporal Structure
Acquiring Schemata Through Understanding and Generalizing Plans
Automatic Program Synthesis from Example Problems
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
Integrating Specialized Classifiers Based on Continuous Time Markov Chain
Ubiquitous Talker: Spoken Language Interaction with Real World Objects
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling
Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition
Automatic Acquisition of Context-Specific Lexical Paraphrases
IberianVoxel: Automatic Completion of Iberian Ceramics for Cultural Heritage Studies
Simulating Price Interactions by Mining Multivariate Financial Time Series
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
Dynamic Resource Routing using Real-Time Dynamic Programming
Considerations on a Similarity-Based Approach to Beleif Change
Detecting and Tracking Disease Outbreaks by Mining Social Media Data
Formal Grammars as Models of Logic Derivations
Estimating Causal Effects of Tone in Online Debates
Knowledge acquisition in concept and document spaces by using self-organizing neural networks
Playgol: Learning Programs Through Play
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data
kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams
Design Principles and Action Reflection for Agent-Based Assistive Technology
UNSEARCHMO: Eliminating Redundant Search Space on Backtracking for Forward Chaining Theorem Proving
Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types
A Comprehensive Survey on Image Dehazing Based on Deep Learning
The Comparative Linguistics of Knowledge Representation
A Multiobjective Frontier Search Algorithm
MAPS: Multi-Agent reinforcement learning-based Portfolio management System
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
Entity Suggestion with Conceptual Expanation
A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm
Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data
Adaptive Genetic Algorithm with Mutation and Crossover Matrices
Kernel Matrix Evaluation
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation
A Compression-Compilation Framework for On-mobile Real-time BERT Applications
Efficient Object Search in Game Maps
Chronic Disease Management with Personalized Lab Test Response Prediction
Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Saul: Towards Declarative Learning Based Programming
Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation
Lookahead and Pathology in Decision Tree Induction
Evolutionary Approach to Security Games with Signaling
Improving Consistency Identification in Task-oriented Dialogue Through Multi-Agent Collaboration
On Integrating Logical Analysis of Data into Random Forests
Knowledge-Base Driven Analysis of Cinecardioangiograms
Parallel Non-Binary Planning in Polynomial Time
Filtering Nogoods Lazily in Dynamic Symmetry Breaking During Search
An Experimental Study of Phase Transitions in Matching
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding
Learning to Design Games: Strategic Environments in Reinforcement Learning
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction
On the Role of Hierarchy for Neural Network Interpretation
Separating Non-Stationary from Stationary Scene Components in a Sequence of Real World TV Images
Formulas Free From Inconsistency: An Atom-Centric Characterization in Priest's Minimally Inconsistent LP (Extended Abstract)
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations
Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling
Euclidean Pathfinding with Compressed Path Databases
Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains
Cost-effective Artificial Neural Networks
Algebraic Structures of Truth Values in Fuzzy Logic
Extraction of Moving Object Images Through Change Detection
Self-Adjusting Ring Modules (SARMs) for Flexible Gait Pattern Generation
An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization
Structural Tractability of Shapley and Banzhaf Values in Allocation Games
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation
Significant Feature Detection and Matching in Image Pairs
Discovering Classification Rules Using variable-Valued Logic System VL 1
Computational Complexity of Planning for Recursive Primitive Task Networks: Selective Action Nullification with State Preservation
Evaluation of Fuzzy Quantified Expressions
Dual Lookups in Pattern Databases
Implementing the Wisdom of Waze
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies
Explainable Interpretation of Low-Level Process Traces via Abstract Argumentation
Approximate Strategyproof Mechanisms for the Additively Separable Group Activity Selection Problem
Goal-Driven Learning in the GILA Integrated Intelligence Architecture
SEE: Spherical Embedding Expansion for Improving Deep Metric Learning (Extended Abstract)
Towards Making the Most of Context in Neural Machine Translation
The Role of Preprocessing in Problem Solving Systems
PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model
A Simple Probabilistic Extension of Modal Mu-calculus
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Recognition of Occluded Objects
Models of Searching and Browsing: Languages, Studies, and Application
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
BlueMemo: Depression Analysis through Twitter Posts
REPLACE: A Logical Framework for Combining Collective Entity Resolution and Repairing
Training stochastic grammars on semantical categories
Construction of System of Spheres-based Transitively Relational Partial Meet Multiple Contractions: An Impossibility Result (Extended Abstract)
Learning Sentence Representation with Guidance of Human Attention
Reasoning about Action in Polynomial Time
Market Based Resource Allocation with Incomplete Information
Progressive Generative Hashing for Image Retrieval
Agent-Human Interactions in the Continuous Double Auction
Word Sense Disambiguation for All Words without Hard Labor
RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning
Action Selection Methods for Multi-Agent Navigation in Crowded Environments
Learning User Dependencies for Recommendation
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
Super-Human AI for Strategic Reasoning: Beating Top Pros in Heads-Up No-Limit Texas Hold'em
Computing Convergence Angle From Random Dot Stereograms
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances
Qualitative Kinematics in Mechanisms
Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme
TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure
HID: Hierarchical Multiscale Representation Learning for Information Diffusion
Modeling resilient cyber-physical processes and their composition from digital twins via Markov Decision Processes
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks
Learning from texts - a terminological metareasoning perspective
The Glass Box Approach: Verifying Contextual Adherence to Values
Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches
On a Scientific Discipline (Once) Named AI
A Clause Tableau Calculus for MaxSAT
Spectral Perturbation Meets Incomplete Multi-view Data
Using Multimodal Clustering on Formal Contexts in Event Extraction with Neural Nets
Generalized Safe Conditional Syntax Splitting of Belief Bases
Self-Guided Evolution Strategies with Historical Estimated Gradients
The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)
Stochastic Anytime Search for Bounding Marginal MAP
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
A Novel Approach of Cognitive Base Station with Dynamic Spectrum Management for High-Speed Rail
Ensemble Soft-Margin Softmax Loss for Image Classification
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing
Exploring the Task Cooperation in Multi-goal Visual Navigation
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
Automating Program Speedup by Deciding What to Cache
Active Learning for Cross-domain Sentiment Classification
Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification
Label Distribution for Learning with Noisy Labels
Semantic Relationship Discovery with Wikipedia Structure
Representation in a Domain-Independent Planner
A Scalable Method for Multiagent Constraint Optimization
Thompson Sampling for Budgeted Multi-Armed Bandits
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
An Infinite-Connected Words Recognition System for Male Speakers Using Time-Space Dynamic Programming
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach
Multi-Select Faceted Navigation Based on Minimum Description Length Principle
A Semantical Approach to Stable Inheritance Reasoning
A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement
ICBS: Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding
A Multi-Agent Medical System for Indian Rural Infant and Child Care
Ordinal Maximin Share Approximation for Goods (Extended Abstract)
RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend
A Convex Formulation of Modularity Maximization for Community Detection
Pre-training General User Representation with Multi-type APP Behaviors
Ranking Preserving Nonnegative Matrix Factorization
Modelling Intentional Behavior Generation
Towards Utilitarian Online Learning - A Review of Online Algorithms in Open Feature Space