yusuke1997/dblp-id-title huggingface dataset:
Solving Sudoku with Consistency: A Visual and Interactive Approach
An Agent Architecture for Prognostic Reasoning Assistance
Robust Tensor Clustering with Non-Greedy Maximization
Automatic Abstraction in Component-Based Diagnosis Driven by System Observability
3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning
CLiMF: Collaborative Less-Is-More Filtering
WHISPER: A Problem-Solving System Utilizing Diagrams and a Parallel Processing Retina
Stochastic Constraint Programming
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation
Simplification and Improvement of MMS Approximation
Deep Residual Reinforcement Learning (Extended Abstract)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
Co-Attentive Multi-Task Learning for Explainable Recommendation
Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts
Fast Compliance Checking in an OWL2 Fragment
How to Build Your Network? A Structural Analysis
On Logics of Strategic Ability Based on Propositional Control
Preserving Consistency Across Abstraction Mappings
CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation
Completeness and Optimality Preserving Reduction for Planning
Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics
Explicit Versus Latent Concept Models for Cross-Language Information Retrieval
BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning
MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion
Adaptation and Learning in Multi-Agent Systems: Some Remarks and a Bibliography
Dynamic Proportional Rankings
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Learning Strategies in Games by Anticipation
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
Spatial Object Perception from an Image
MCloudNet: An Ultra-Short-Term Photovoltaic Power Forecasting Framework With Multi-Layer Cloud Coverage
InViTe: Individual Virtual Transfer for Personalized 3D Face Generation System
Proceedings of the fourth Workshop on Bridging the Gap between Human and Automated Reasoningco-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 14, 2018
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
Object Recognition Based on Visual Grammars and Bayesian Networks
On the Complexity of the Core over Coalition Structures
Partially Observable Reference Policy Programming
Exploring and Distilling Cross-Modal Information for Image Captioning
End-to-End Transition-Based Online Dialogue Disentanglement
A Methodology for Proving Termination of General Logic Programs
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks
Efficient Representation of Adhoc Constraints
Self-supervised Graph Disentangled Networks for Review-based Recommendation
Iterative Budgeted Exponential Search
Dynamics of Profit-Sharing Games
Pitfalls of Learning a Reward Function Online
Open-world Semi-supervised Novel Class Discovery
An Interactive System to Learn Functional Logic Programs
Progressive Modality-Adaptive Interactive Network for Multi-Modality Image Fusion
ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection
Sample-Efficient Behavior Cloning Using General Domain Knowledge
Advantage Amplification in Slowly Evolving Latent-State Environments
Cooking activities recognition in egocentric videos using combining 2DCNN and 3DCNN
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
A Multiagent System for Helping Urban Traffic Management
Can Cross Entropy Loss Be Robust to Label Noise?
And-Or Graphs Applied to RUE Resolution
How Robust Is the Wisdom of the Crowds?
Eddy: A Graphical Editor for OWL 2 Ontologies
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding
Multi-Robot Exploration with Communication Restrictions
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER
Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning
Prompt-enhanced Network for Hateful Meme Classification
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
Plausibility Reasoning via Projected Answer Set Counting - A Hybrid Approach
Culturally-aware Image Captioning
An Inference Technique for Integrating Knowledge from Disparate Sources
BRExIt: On Opponent Modelling in Expert Iteration
Topic-to-Essay Generation with Neural Networks
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism
EL Embeddings: Geometric Construction of Models for the Description Logic EL++
Toward the Automatic Discovery of Misconceptions
Privileged Multi-label Learning
Fast Cross-Validation for Incremental Learning
Dynamic Taxi and Ridesharing: A Framework and Heuristics for the Optimization Problem
Fast Algorithm for K-Truss Discovery on Public-Private Graphs
Dual-Balancing for Physics-Informed Neural Networks
Updates, actions, and planning
Approximation of Indistinct Concepts
Privacy-Preserving Obfuscation of Critical Infrastructure Networks
Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods
Bidding Languages for Combinatorial Auctions
Learning and Problem Solving
A Hidden Markov Model Variant for Sequence Classification
A Lossy Counting Based Approach for Learning on Streams of Graphs on a Budget
General Statistical Approaches to Procedural Map Generation
Solving Strategies for Highly Symmetric CSPs
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling
Model Checking Causality
Perception and Experience in Problem Solving
ONYX: An Architecture for Planning in Uncertain Environments
Image-to-Image Translation with Multi-Path Consistency Regularization
Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique
Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks
A Problem Space Approach to Expert System Specification
Extracting Supporting Evidence from Medical Negligence Claim Texts
Approximate inference for first-order probabilistic languages
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back)
Non-Linear Monte-Carlo Search in Civilization II
Robust High-Dimensional Classification From Few Positive Examples
Searching to Variable Depth in Computer Chess
Generalized Amazons is PSPACE-Complete
Model Driven Visualization of Coronary Arteries
Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion
Understanding Analogies in Editorials
Interactive Reinforcement Learning for Symbolic Regression from Multi-Format Human-Preference Feedbacks
Vision beyond Pixels: Visual Reasoning via Blocksworld Abstractions
Enhancing Datalog Reasoning with Hypertree Decompositions
Neural Generative Question Answering
A Formal Representation for Plans in the Programmers Apprentice
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment
Levels of Pattern Description in Learning
Adaptive Error-Correcting Output Codes
Run to the Hills! Ubiquitous Computing Meltdown
Abstract Argumentation Frameworks - From Theoretical Insights to Practical Implications
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants
Distraction-Based Neural Networks for Modeling Document
On the Efficient Classification of Data Structures by Neural Networks
Proximity Enhanced Graph Neural Networks with Channel Contrast
Perturbed-History Exploration in Stochastic Multi-Armed Bandits
Visual Routines and Visual Search: A Real-Time Implementation and an Automata-Theoretic Analysis
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks
A System of Programs for Computer-Aided Induction: A Summary
Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
A Robust Convex Formulation for Ensemble Clustering
How to Discover a Knowledge Representation for Causal Reasoning by Studying an Expert Physician
Dynamically Visual Disambiguation of Keyword-based Image Search
Learning Disentangled Semantic Representation for Domain Adaptation
Recursive Small-Step Multi-Agent A* for Dec-POMDPs
A Task-Independent Experience-Gathering Scheme for a Problem Solver
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Scanpath Prediction for Visual Attention using IOR-ROI LSTM
RaMLP: Vision MLP via Region-aware Mixing
Repairing ASR output by Artificial Development and Ontology based Learning
Dual Inference for Machine Learning
Adaptive Deep Learning from Crowds
Generating Information-Sharing Subdialogues in Expert-User Consultation
Expressive Power of Tree and String Based Wrappers
Be Brief, Be to the Point, ... Be Seated or Relevant Responses in Man/Machine Conversation
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract)
Smart Hashing Update for Fast Response
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
Fair Division Under Cardinality Constraints
Optic Flow Field Structure And Processing Image Motion
Strip Attention for Image Restoration
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
Enhancing Topical Word Semantic for Relevance Feature Selection
A New Kind of Finite-State Automaton: Register Vector Grammar
MUMBLE: A Flexible System for Language Production
Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing
Measuring Successful Digital Services by Identifying Active Users
Exploiting Music Play Sequence for Music Recommendation
Speeding Up Ascending-Bid Auctions
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space
Unified Physical-Digital Face Attack Detection
Arousal Detection for Biometric Data in Built Environments using Machine Learning
Live Face Verification with Multiple Instantialized Local Homographic Parameterization
Hierarchical Planning in a Distributed Environment
Adversarial Uncertainty in Multi-Robot Patrol
Case-Based Recommender Systems: A Unifying View
Scenario-based Stochastic Constraint Programming
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning
Block Circulant Adapter for Large Language Models
METEOR: Melody-aware Texture-controllable Symbolic Music Re-Orchestration via Transformer VAE
Incremental Learning of Planning Actions in Model-Based Reinforcement Learning
Definition Theory as Basis for a Creative Problem Solver
A Fourier Perspective of Feature Extraction and Adversarial Robustness
Failure-Driven Reminding for Incremental Learning
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Automatic Thesaurus Construction based on Grammatical Relations
Asymptotic Conditional Probability in Modal Logic: A Probabilistic Reconstruction of Nonmonotonic Logic
A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data
Learning to Achieve Goals
Collective Semantic Role Labeling for Tweets with Clustering
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking
Binary Classification of Arousal in Built Environments using Machine Learning
Contextual Typeahead Sticker Suggestions on Hike Messenger
Learning to Discretely Compose Reasoning Module Networks for Video Captioning
Delving into Temporal-Spectral Connections in Spike-LFP Decoding by Transformer Networks
A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI
On the Aggregation of Argumentation Frameworks
AI Wolf Contest - Development of Game AI Using Collective Intelligence -
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment
Monte-Carlo Expectation Maximization for Decentralized POMDPs
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination
On Verifying Expectations and Observations of Intelligent Agents
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
Belief Revision Operators with Varying Attitudes Towards Initial Beliefs
Maximin Share Allocations on Cycles
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory
Adversarial Mutual Information Learning for Network Embedding
Path Consistency in a Network of Non-Convex Intervals
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning
On the Susceptibility of Deep Neural Networks to Natural Perturbations
Cancelling and Overshadowing: Two Types of Defeasibility in Defeasible Deontic Logic
Causal Learning for Socially Responsible AI
Spatial Reasoning and Connectionist Inference
Industrial Strength Knowledge Bases: Issues and Experiences - Knowledge Base Stability, Memory: Unitorm or Structured, Integrity, Knowledge Acquisition and the User Interface, Joint Knowledge Base Development, Intertaces to Databases (Panel)
A PROLOG Implementation of Lexical Functional Grammar
Fixed-Parameter Tractable Reductions to SAT for Planning
Relational Object Maps for Mobile Robots
Graph Contextualized Self-Attention Network for Session-based Recommendation
Higher-Order Argumentation Frameworks: Principles and Gradual Semantics
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
Order Statistics for Probabilistic Graphical Models
Self-Paced Boost Learning for Classification
Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness
Incremental Interpretation and Combinatory Categorial Grammar
Change Detection Using Directional Statistics
Temporal Event Recognition: An Application to Left Ventricular Performance
Recovering Problem-Solving Activities from Query Messages
Understanding Subgoal Graphs by Augmenting Contraction Hierarchies
Tag-Weighted Topic Model for Mining Semi-Structured Documents
Recovering Three Dimensional Shape from a Single Image of Curved Objects
Learning Admissible Heuristics while Solving Problems
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
More Notes on "A Clash of Intuitions"
A Model-Based Consultation System for the Long-Term Management of Glaucoma
Linked Democracy 3.0: Global Machine Translated Legislation in the Age of AI
A Survey of Structural Entropy: Theory, Methods, and Applications
Complexity of Manipulation with Partial Information in Voting
Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
Approximating Pseudo-Boolean Functions on Non-Uniform Domains
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing
Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract)
Competence Guided Model for Casebase Maintenance
Learning Fair Representations for Recommendation via Information Bottleneck Principle
Group-Fairness in Influence Maximization
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling
Modelling and Manipulating Production Data Bases in Terms of Semantic Nets
Invertible Residual Rescaling Models
Adding Qualitative Reasoning to an Organizational Database for Management Decision Support
Semantics-Aware Deep Correspondence Structure Learning for Robust Person Re-Identification
Highly Reactive Decision Making: A Game with Time
Q-MiniSAM2: A Quantization-based Benchmark for Resource-Efficient Video Segmentation
Dynamic against Dynamic: An Open-Set Self-Learning Framework
Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017
Bayesian Information Extraction Network
Multi-Agent Coordination: DCOPs and Beyond
PUS, A Paradigmatic Language Acquisition System: An Overview
Small Undecidable Problems in Epistemic Planning
Computational Complexity of Hypothesis Assembly
Biased Majority Opinion Dynamics: Exploiting Graph k-domination
A Survey of Constraint Formulations in Safe Reinforcement Learning
Tight Bounds for Hybrid Planning
Learning Unsupervised Visual Grounding Through Semantic Self-Supervision
Inferring Temporal Knowledge for Near-Periodic Recurrent Events
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
Semi-Supervised Classification on Evolutionary Data
Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning
Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems
∃-ASP
Semantics and Conversations for an Agent Communication Language
Weighted Model Integration with Orthogonal Transformations
Multigoal Committee Selection
Instance-Wise Weighted Nonnegative Matrix Factorization for Aggregating Partitions with Locally Reliable Clusters
Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
ADELT: Transpilation between Deep Learning Frameworks
Utilization of a Stripe Pattern for Dynamic Scene Analysis
From History to Computer Science: A Formalization of the Inferential Processes of an Historian
Timestamp-Supervised Action Segmentation from the Perspective of Clustering
Putting Accountability of AI Systems into Practice
Multi-Feedback Bandit Learning with Probabilistic Contexts
Modularity in Computer Assisted Reasoning Systems
Partial Label Clustering
Scheduling with Untrusted Predictions
Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract)
Towards Con-Resistant Trust Models for Distributed Agent Systems
PLANLOG: A Language Framework for the Integration of Procedural and Logical Programming
Enhancing Nighttime Semantic Segmentation with Visual-Linguistic Priors and Wavelet Transform
Classification Networks: A Knowledge Representation Scheme for Curriculum Prescription
Efficient Private ERM for Smooth Objectives
Boolean Satifiability and Beyond: Algorithms, Analysis, and AI Applications
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
Run Like a Neural Network, Explain Like k-Nearest Neighbor
A Comparison of Structural CSP Decomposition Methods
Solving Integration Problems of e-commerce standards and initiatives through ontological mappings
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression
Probabilistic Satisfiability: Logic-Based Algorithms and Phase Transition
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
A Unifying Formal Approach to Importance Values in Boolean Functions
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork
Budgeted Social Choice: From Consensus to Personalized Decision Making
Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract)
Network Formation under Random Attack and Probabilistic Spread
NatSTV: Towards Verification of Natural Strategic Ability
Proceedings of the 4th International Workshop "What can FCA do for Artificial Intelligence?", FCA4AI 2015, co-located with the International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25, 2015
Concurrency in Proof Normalization and Logic Programming
A Universal Modular ACTOR Formalism for Artificial Intelligence
Conflict Directed Clause Learning for Maximum Weighted Clique Problem
Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds
fairGNN-WOD: Fair Graph Learning Without Complete Demographics
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
Computational Perspectives on Social Phenomena at Global Scales
HYDRA: A Noise-tolerant Relational Concept Learning Algorithm
Feature Selection from Microarray Data via an Ordered Search with Projected Margin
Manifold-Ranking Based Topic-Focused Multi-Document Summarization
Mechanization of an Oracle in a Debugging System
FCA and pattern structures for mining care trajectories
The Reformulation Approach to Building Expert Systems
A Mobile Automaton: An Application of Artificial Intelligence Techniques
Constraint Solving and Optimization Using Evolutionary Techniques
An ATN Model for 3-D Recognition of Solids in Single Images
Adapting Surface Sketch Recognition Techniques for Surfaceless Sketches
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data
Using Trust Networks to Improve Data Quality and Recommendations
Tick Parasitism Classification from Noisy Medical Records
DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes
Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization
Proceedings of the Workshop on Linked Democracy: Artificial Intelligence for Democratic Innovation co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19, 2017
Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling
A Novel Symbolic Approach to Verifying Epistemic Properties of Programs
GSAT and Local Consistency
Layered Graph Security Games
Domain Independent Approaches for Finding Diverse Plans
Logic Programming Techniques for Reasoning with Probabilistic Ontologies
Ranking Alternatives on the Basis of Generic Constraints and Examples - A Possibilistic Approach
Scalable Normalized Cut with Improved Spectral Rotation
Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions
Using Local Information in a Non-Local Way for Mapping Graph-Like Worlds
Similarity-Based Approach for Positive and Unlabeled Learning
Bias On Demand: Investigating Bias with a Synthetic Data Generator
Discovering Latent Class Labels for Multi-Label Learning
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices
Derivation Procedures for Extended Stable Models
Recent Trends in Word Sense Disambiguation: A Survey
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Noise2Grad: Extract Image Noise to Denoise
Revenue Maximization via Hiding Item Attributes
Dynamic Hypergraph Structure Learning