yusuke1997/dblp-id-title huggingface dataset:
A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data
One action is enough to plan
Energy Resellers - An Endangered Species?
Enhance Image as You Like with Unpaired Learning
Analogical Reasoning in Problem Solving
Image Modeling Using Tree Structured Conditional Random Fields
Subsidies, Stability, and Restricted Cooperation in Coalitional Games
Over-Answering Yes-No Questions: Extended Responses in a NL Interface to a Vision System
Hierarchical Class-Based Curriculum Loss
Trust-Sensitive Belief Revision
Measuring Semantic Similarity using a Multi-Tree Model
Robust Contrastive Multi-view Kernel Clustering
Reasoning about Noisy Sensors in the Situation Calculus
Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data
Strategic Aspects of Stable Matching Markets: A Survey
On Bootstrapping Local Search with Trail-Markers
Deep Ensembles for Inter-Domain Arousal Recognition
Uncontrollability of Artificial Intelligence
Advances in Nonparametric Hypothesis Testing
A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models
Unsupervised Multilingual Alignment using Wasserstein Barycenter
M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models
Spear: Evaluate the Adversarial Robustness of Compressed Neural Models
LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition
Multi-view Knowledge Graph Embedding for Entity Alignment
Computational Social Choice Meets Databases
Automatic Generation of Grounded Visual Questions
Retrieving Information from an Episodic Memory, or Why Computers' Memories Should Be More Like People's
Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning
Predicate Logic: A Calculus for the Formal Derivation of Programs
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Maximin Share Guarantees for Few Agents with Subadditive Valuations
Prototypes and Production Rules: An Approach to Knowledge Representation for Hypothesis Formation
Parameter Structures for Parametrized Modal Operators
Differential Privacy for Stackelberg Games
A Stereo Vision System for an Autonomous Vehicle
Combining Rewriting and Incremental Materialisation Maintenance for Datalog Programs with Equality
Circumscription and Definability
Generalization Bounds for Weighted Binary Classification with Applications to Statistical Verification
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
Modeling Planning as an Incremental, Opportunistic Process
The Foundations of Cost-Sensitive Learning
Demo: Assisting Visually Impaired People Navigate Indoors
Chasing Sets: How to Use Existential Rules for Expressive Reasoning
A Matroid Approach to the Worst Case Allocation of Indivisible Goods
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code
Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints
Aggregating Dependency Graphs into Voting Agendas in Multi-Issue Elections
i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization
Non-Myopic Negotiators See What's Best
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning
Improving Cross-lingual Entity Alignment via Optimal Transport
Plan Synthesis for Knowledge and Action Bases
α-min: A Compact Approximate Solver For Finite-Horizon POMDPs
Toward a Robust and Universal Crowd-Labeling Framework
Plan Modification versus Plan Generation: A Complexity-Theoretic Perspective
Online Learning of Capacity-Based Preference Models
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge
Latent Processes Identification From Multi-View Time Series
Learning Problem-Solving Heuristics Through Practice
IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003
Learning to Identify Ambiguous and Misleading News Headlines
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control
Unsupervised Alignment of Actions in Video with Text Descriptions
Analysing Mathematical Proofs (Or Reading Between the Lines)
SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification
Visual-Tactile Symbiotic System for Stereometric Pattern Recognition
LOGO as an Information Prosthetic for Communication and Control
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval
Circuit Complexity and Decompositions of Global Constraints
Human-Centric Foundation Models: Perception, Generation and Agentic Modeling
Preferences Single-Peaked on a Tree: Sampling and Tree Recognition
Intention-Aware Routing to Minimise Delays at Electric Vehicle Charging Stations
Likelihood-free Out-of-Distribution Detection with Invertible Generative Models
Transfer Learning in Multi-Armed Bandits: A Causal Approach
MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction
FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation
Learning from Polyhedral Sets
Statistical Quality Control for Human Computation and Crowdsourcing
Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination
Parsing = Parsimonious Covering? (Abduction in Logical Form Generation)
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)
Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking
Robust Subspace Segmentation by Simultaneously Learning Data Representations and Their Affinity Matrix
On the Complexity of Qualitative Spatial Reasoning: A Maximal Tractable Fragment of the Region Connection Calculus
Heuristic Search Theory: Survey of Recent Results
Conservative Extensions in Expressive Description Logics
POISketch: Semantic Place Labeling over User Activity Streams
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
Maximal Tractable Fragments of the Region Connection Calculus: A Complete Analysis
Accurate Probability Calibration for Multiple Classifiers
NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set
Learning Defining Features for Categories
Efficient Inference and Computation of Optimal Alternatives for Preference Languages Based On Lexicographic Models
The Framework of Knowledge Representation and Its Retrieval in LGS - Literature Guide System
Efficient Representations for the Modal Logic S5
Facets in Argumentation: A Formal Approach to Argument Significance
Dynamic Language Binding in Relational Visual Reasoning
Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT
Model-Based Deep Hand Pose Estimation
An Action Description Language for Iterated Belief Change
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements
Domain Prompt Learning with Quaternion Networks (Extended Abstract)
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
Knowledge-aware Zero-Shot Learning: Survey and Perspective
DFVSR: Directional Frequency Video Super-Resolution via Asymmetric and Enhancement Alignment Network
Marginalized Multi-Instance Kernels
Exploiting Independence in a Decentralised and Incremental Approach of Diagnosis
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Multi-modality Sensor Data Classification with Selective Attention
Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding
Reliable Neuro-Symbolic Abstractions for Planning and Learning
Approaches to Conceptual Clustering
Continuously Relaxing Over-Constrained Conditional Temporal Problems through Generalized Conflict Learning and Resolution
An Improved Algorithm for Optimal Bin Packing
Is What You See What You Get?
FastScene: Text-Driven Fast Indoor 3D Scene Generation via Panoramic Gaussian Splatting
Linear Bayesian Reinforcement Learning
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
A Novel Sequence-to-Subgraph Framework for Diagnosis Classification
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation
Diagnosis of Technical Systems
Evolving AI from Research to Real Life - Some Challenges and Suggestions
Unique Normal Forms and Confluence of Rewrite Systems: Persistence
Game Description Language and Dynamic Epistemic Logic Compared
Mechanical Inference Problems in Continuous Speech Understanding
Kemeny Elections with Bounded Single-Peaked or Single-Crossing Width
PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging
Distilling Inter-Class Distance for Semantic Segmentation
Plan Recognition in Virtual Laboratories
Knowledge Base Pattern Structures-Based Classification of Underground Forums: A Case Study
A Net Structure for Semantic Information Storage, Deduction and Retrieval
Learning from Students: Online Contrastive Distillation Network for General Continual Learning
Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Boosting Diffusion Models with an Adaptive Momentum Sampler
ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers
Using Payoff-Similarity to Speed Up Search
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies
Towards a Linked Information Architecture for Integrated Law Enforcement
A Real-Time Opponent Modeling System for Rush Football
Theoretical Study on Multi-objective Heuristic Search
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
Social Distance Games
Transition Constraints: A Study on the Computational Complexity of Qualitative Change
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots
Logic Programs for Consistently Querying Data Integration Systems
Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization
Approximate Dec-POMDP Solving Using Multi-Agent A *
Variational Mixtures of Gaussian Processes for Classification
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing
Near-Optimal Approximation Mechanisms for Multi-Unit Combinatorial Auctions
Geometric Enclosing Networks
Avoiding Overfitting with BP-SOM
Strategyproof Classification with Shared Inputs
Make Evasion Harder: An Intelligent Android Malware Detection System
Ordinal Zero-Shot Learning
Plausible Repairs for Inconsistent Requirements
LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection
Verification of Broadcasting Multi-Agent Systems against an Epistemic Strategy Logic
LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System
MeSHx-Notes: Web-System for Clinical Notes
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
Integration of Neural Networks and Expert Systems for Process Fault Diagnosis
Combining Direct Trust and Indirect Trust in Multi-Agent Systems
Resource Constraints on Computation and Communication in the Brain
Emoji-Aware Attention-based Bi-directional GRU Network Model for Chinese Sentiment Analysis
LEKA: LLM-Enhanced Knowledge Augmentation
Diversity, Agreement, and Polarization in Elections
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
Activation-Based Parsing
The Design of Human Oversight in Autonomous Weapon Systems
Decision Making under Uncertainty: Social Choice and Manipulation
A Learning Vision System for 2D Object Recognition
Detecting Promotion Campaigns in Community Question Answering
Theorem Provers as Question Answerers
Participatory Budgeting as an Element of Crowdsourcing in the Smart City Area
Robust Regularization with Adversarial Labelling of Perturbed Samples
Scalable Ultrafast Almost-optimal Euclidean Shortest Paths
Counting Linear Extensions of Sparse Posets
Focus of Attention in the Hearsay-II Speech Understanding System
Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency
Answer-Set Programming with Bounded Treewidth
Approaches to Food/Non-food Image Classification Using Deep Learning in Cookpad
Multi-View Active Learning for Video Recommendation
Walking Robot: A Non-Deterministic Model Of Control
NeuPSL: Neural Probabilistic Soft Logic
Advanced Automaton For Space Missions
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning
Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation
Time Series Data Augmentation for Deep Learning: A Survey
Decreasing Uncertainty in Planning with State Prediction
Fuzzy Logic in Artificial Intelligence, IJCAI'97 Workshop, Nagoya, Japan, August 23-24, 1997, Selected and Invited Papers
Multi-Way Number Partitioning
Classification Transfer for Qualitative Reasoning Problems
The Learning of Parameters for Generating Compound Characterizers for Pattern Recognition
More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules
Greybox Algorithm Configuration
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market
Conditional Importance Networks: A Graphical Language for Representing Ordinal, Monotonic Preferences over Sets of Goods
AGI Safety Literature Review
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization
Bi-Parameter Space Partition for Cost-Sensitive SVM
Fixed-Budget Pure Exploration in Multinomial Logit Bandits
Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model
Hintikka's World: Agents with Higher-order Knowledge
OntoBacen: A Modular Ontology for Risk Management in the Brazilian Financial System
Enhancing Existential Rules by Closed-World Variables
Predicting Globally-Coherent Temporal Structures from Texts via Endpoint Inference and Graph Decomposition
Sample Complexity of Risk-Averse Bandit-Arm Selection
A Formal Model for Classical Planning
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives
Semantic Code Analysis
Proportional Rankings
Safety of Artificial Intelligence: A Collaborative Model
Multi-issue Negotiation Protocol for Agents: Exploring Nonlinear Utility Spaces
Well-Supported Semantics for Description Logic Programs
On Solving Boolean Multilevel Optimization Problemse
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control
Thresholding Bandits with Augmented UCB
Reconfigurability in Reactive Multiagent Systems
ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home
AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles
A Coincidence Detection Network for Spatio-Temporal Coding: Application to Nominal Composition
Tight Approximation for Proportional Approval Voting
Querying a Database with Fuzzy Attribute Values by Iterativ Updating of the Selection Criteria
"Physical Negation" Integrating Fault Models into the General Diagnostic Engine
Inferring Complex Agent Motions from Partial Trajectory Observations
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)
A Reputation Management Approach for Resource Constrained Trustee Agents
Learning Web Page Scores by Error Back-Propagation
Self-Adjusting Memory: How to Deal with Diverse Drift Types
Hacking Task Confounder in Meta-Learning
SegGen: A Genetic Algorithm for Linear Text Segmentation
First-Order Logical Filtering
Toward Optimal Solution for the Context-Attentive Bandit Problem
A Latent Variable Model for Learning Distributional Relation Vectors
Learning from Daily Knowledge: How to Keep Track and to Represent Design Projects Knowledge
Transition-based Adversarial Network for Cross-lingual Aspect Extraction
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
Incremental Tractable Reasoning about Qualitative Temporal Constraints
Efficient Semantic Features for Automated Reasoning over Large Theories
GRASPER: A Permissive Planning Robot
Methodological Issues in Recommender Systems Research (Extended Abstract)
Multi-Tier Platform for Cognizing Massive Electroencephalogram
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization
Knowledge Based English Language Systems For Management Support: An Analysis Of Requirements
Some Principles Of Artificial Learning That Have Emerged From Examples
Measuring Acoustics with Collaborative Multiple Agents
Liveness and Fairness Properties in Multi-Agent Systems
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition
Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning
Evaluating Coverage for Large Symbolic NLG Grammars
Leveraging Latent Label Distributions for Partial Label Learning
Flexible Tree Matching
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
ActUp: Analyzing and Consolidating tSNE and UMAP
Broadcast News Navigator (BNN) Demonstration
Equivalent Stream Reasoning Programs
Distributional Multi-Objective Decision Making
Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets
Diagnosing Tree-Decomposable Circuits
Intelligence in Strategic Games (Extended Abstract)
Lazy Classification of Underground Forums Messages Using Pattern Structures
Spotting Collective Behaviour of Online Frauds in Customer Reviews
Conditional Visuomotor Learning and Viability Theory
Deep Reinforcement Learning with Hierarchical Structures
Coherence of Laws
Egocentric Object-Interaction Anticipation with Retentive and Predictive Learning
Ontology-Based Integration of Information - A Survey of Existing Approaches
Robust Multi-view Learning via Half-quadratic Minimization
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization
Cognitive Modelling of Event Ordering Reasoning in Imagistic Domains
The Equivalence of Model-Theoretic and Structural Subsumption in Description Logics
An Extension of Unification to Substitution with an Application to Automatic Theorem Proving
Truthful Fair Division without Free Disposal
Complete MCS-Based Search: Application to Resource Constrained Project Scheduling
Learning to Compete in Heterogeneous Web Search Environments
Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency
Computer Description of Curved Objects
Anticipatory Troubleshooting
Vertex-Weighted Hypergraph Learning for Multi-View Object Classification
Unsupervised Feature Learning from Time Series
Uncertainty-aware Binary Neural Networks
Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics
Adversarial Active Learning for Sequences Labeling and Generation
Multi-modal Sentence Summarization with Modality Attention and Image Filtering
Exchangeability-Aware Sum-Product Networks
Explanation Based Program Transformation
Determining Expert Profiles (With an Application to Expert Finding)
A Neural-Symbolic Cognitive Agent for Online Learning and Reasoning
When Conditional Logic and Belief Revision Meet Substructural Logics
Fair and Efficient Chore Allocation: Existence and Computation
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports
Diagnosability of Discrete-Event Systems with Uncertain Observations
Naturalness of an Utterance Based on the Automatically Retrieved Commonsense
Using Fuzzy Logic in a Mobile Robot Path Controller
CoAtFormer: Vision Transformer with Composite Attention
Lazy Testing of Machine-Learning Models
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Extracting Propositions from Trained Neural Networks
Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs
Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, ITWP@IJCAI 2011, Barcelona, Spain, July 16, 2011
FedAUXfdp: Differentially Private One-Shot Federated Distillation
Acquiring Integer Programs from Data
Inverse Resolution as Belief Change
Inverse Reinforcement Learning in Relational Domains
Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting
Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds
On the Relation Between Approximation Fixpoint Theory and Justification Theory
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
Visual Attention Prompted Prediction and Learning
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning
IdeaNet: Potential Opportunity Discovery for Business Innovation
Competition Among Contests: a Safety Level Analysis
A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems (Extended Abstract)
Automated Mechanism Design without Money via Machine Learning
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Truthful Interval Covering
Scale-Based Monotonicity Analysis in Qualitative Modelling with Flat Segments
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Fast and Complete Symbolic Plan Recognition
Multi-Agent Intention Recognition and Progression
Directed Constraint Networks: A Relational Framework for Causal Modeling
Domain-Independent Extensions to GSAT: Solving Large Structured Satisfiability Problems
Conceptual Design and Artificial Intelligence
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Deep Discrete Prototype Multilabel Learning
Trading Plan Cost for Timeliness in Situated Temporal Planning
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning
A Parallel Tree Search Method
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation
Learning to Reduce Communication Cost on Task Negotiation among Multiple Autonomous Mobile Robots
Unique Recovery of Motion and Optic Flow via Lie Algebras
Direct Measure Matching for Crowd Counting
Ensembles as a Sequence of Classifiers
Comprehensive Score: Towards Efficient Local Search for SAT with Long Clauses