yusuke1997/dblp-id-title huggingface dataset:
Balancing Utility and Deal Probability for Auction-Based Negotiations in Highly Nonlinear Utility Spaces
Preference Elicitation for Single Crossing Domain
Platypus: A Constraint-Based Reasoning System
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
Human Behavior Analysis from Video Data Using Bag-of-Gestures
Issues in Ontology-based Information Integration
Sequential Auctions for the Allocation of Resources with Complementarities
SEEK2: A Generalized Approach to Automatic Knowledge Base Refinement
An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding
Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction
Cross Lingual Entity Linking with Bilingual Topic Model
Exploring Unknown Environments with Mobile Robots using Coverage Maps
Spatial and Temporal Reasoning with LLMs for Natural Language Comprehension and Grounding
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
User Modelling
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, Italy, August 23-28, 1987
Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring
An Information Theory based Approach to Multisource Clustering
Normative Conflict Detection and Resolution in Cooperating Institutions
Effective Deep Memory Networks for Distant Supervised Relation Extraction
An Empirical Investigation of Ceteris Paribus Learnability
BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion
Adaptive Experimental Design for Optimizing Combinatorial Structures
Cross-Domain Depression Detection via Harvesting Social Media
Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 20 - 20, 2017
Quantitative Evaluation of Explanation-Based Learning as an Optimisation Tool for a Large-Scale Natural Language System
Steps Toward Automatic Theory Formation
Joint Time-Frequency and Time Domain Learning for Speech Enhancement
Empirical Analysis of Foundational Distinctions in Linked Open Data
Considering Constraint Monotonicity and Foundedness in Answer Set Programming
Can punctuation help learning?
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities
LISP Activities in Japan
The Interplay of Emotions and Norms in Multiagent Systems
A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance
Bayesian Optimization using Pseudo-Points
Determining Cylindrical Shape from Contour and Shading
Learning Social Affordance for Human-Robot Interaction
A Probabilistic Model of Redundancy in Information Extraction
Massively Parallel Artificial Intelligence
The Economics of Machine Learning
TransNet: Translation-Based Network Representation Learning for Social Relation Extraction
Profit-driven Task Assignment in Spatial Crowdsourcing
Semi-Orthogonal Multilinear PCA with Relaxed Start
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
A Philosophical Encounter
Filtration-Enhanced Graph Transformation
A Survey on Cross-Domain Sequential Recommendation
Discrete Embedding for Latent Networks
SoFaiR: Single Shot Fair Representation Learning
Discrete Budget Aggregation: Truthfulness and Proportionality
Constitutional Law and Artificial Intelligence: The Potential Legal Recognition of Computers as "Persons"
The Heuristic Search And The Game Of Chess - A Study Of Quiescene, Sacrifices, And Plan Oriented Play
Active Cost-Sensitive Learning
Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
Flexible Generalized Low-Rank Regularizer for Tensor RPCA
A Unified Probabilistic Model of User Activities and Relations on Social Networking Sites
Exploring Diversity in Neural Architectures for Safety
Formal Concept Analysis for Semantic Compression of Knowledge Graph Versions
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
Accomplice Manipulation of the Deferred Acceptance Algorithm
Learning language using genetic algorithms
A Tensor-Based Formalization of the Event Calculus
On the Learnability of Knowledge in Multi-Agent Logics
Search Strategies for an Anytime Usage of the Branch and Prune Algorithm
Angle Principal Component Analysis
Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach
W - A Logic System Based on the Shared Common Knowledge Views
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
Adversarial Graph Embedding for Ensemble Clustering
Optimal Auctions for Partially Rational Bidders
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
Cooperative Hybrid Systems
Leveraging Multi-Domain Prior Knowledge in Topic Models
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
Yolo4Apnea: Real-time Detection of Obstructive Sleep Apnea
Limited Discrepancy Beam Search
Adversarial Metric Learning
E-learning as an Extending Tool of Knowledge Management
Improving the Effectiveness of Time-Based Display Advertising
Plausible Inferencing Using Extended Composition
A Compliance Checking Framework for DNN Models
Quantitative Path-Planning from Qualitative Language Instructions
A Problem Similarity Approach to Devising Heuristics: First Results
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields
Assertion Application in Theorem Proving and Proof Planning
Decomposition Techniques for Planning in Stochastic Domains
Constraint Satisfaction and Fair Multi-Objective Optimization Problems: Foundations, Complexity, and Islands of Tractability
FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval
Functional Dependencies in MDD-Compiled Product Catalogues
Negation And Focus in Man - Machine Communication
VidEvo: Evolving Video Editing through Exhaustive Temporal Modeling
Automatic Grassland Degradation Estimation Using Deep Learning
A Parallel Computation that Assigns Canonical Object-Based Frames of Reference
Equivalence in Abductive Logic
Budgeted Facility Location Games with Strategic Facilities
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations
Fuzzy Geodesic Distance in Images
Researcher: An Experimental Intelligent Information System
Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection
Equal Access to Online Legal Information through Democratisation of Technology: A Myth?
Learning by Controlled Transference of Knowledge Between Domains
Channel Pruning via Automatic Structure Search
How to Prefer More Specific Defaults in Terminological Default Logic
Nonmonotonic Logics: Meaning and Utility
Who Am I?: Towards Social Self-Awareness for Intelligent Agents
Continual Federated Learning Based on Knowledge Distillation
Binary Coding based Label Distribution Learning
ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction
A Number Theory Approach to Problem Representation and Solution
Automated Facilitation Support in Online Forum
Focusing Construction and Selection of Abductive Hypotheses
Embedding Semantic Relations into Word Representations
Multi-Label Classification Using Conditional Dependency Networks
Reasoning about Student Knowledge and Reasoning
Large Neighborhood Search with Decision Diagrams
A Unified Framework for Discrete Spectral Clustering
The Power of Local Manipulation Strategies in Assignment Mechanisms
A Bargaining Mechanism for One-Way Games
Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition
KL-Conc: A Language for Interacting With SI-Nets
Putting Back the Stops: Integrating Syntax with Neural Topic Models
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
Goal Recognition Design - Survey
Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction
Correlating Preferences and Attributes: Nearly Single-Crossing Profiles
Multi-Dimensional Single-Peaked Consistency and Its Approximations
Robust Distance Metric Learning with Auxiliary Knowledge
Analysis Of Three-Dimensional Scene Images On The Knowledge Of Their Texture Features
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Graph-Based Multi-Modality Learning for Topic-Focused Multi-Document Summarization
Contrastive Losses and Solution Caching for Predict-and-Optimize
Shape Recognition and Illusory Conjunctions
Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction
On the Undecidability of Description and Dynamic Logics with Recursion and Counting
Self-Adapted Multi-Task Clustering
Generating 1/f Noise Sequences as Constraint Satisfaction: The Voss Constraint
Integrating Prolog Into the Poplog Environment
NEOMYCIN: Reconfiguring a Rule-Based Expert System for Application to Teaching
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
Adaptive Thresholding in Structure Learning of a Bayesian Network
A Simple yet Effective Hypergraph Clustering Network
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios
Temporal Domain Generalization via Learning Instance-level Evolving Patterns
Generalizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects
Optimization Approaches to the Problem of Edge Linking With a Focus on Parallel Processing
Adaptive Data Compression for Robot Perception
Network Embedding under Partial Monitoring for Evolving Networks
A Correctness Result for Reasoning about One-Dimensional Planning Problems
Reinforcement Learning with Option Machines
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment
SiN: Integrating Case-based Reasoning with Task Decomposition
Motor Knowledge Representation
Optimal Planning with Axioms
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition
Behavior Bounding: Toward Effective Comparisons of Agents & Humans
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks
A Model-Theoretic Analysis of Monotonic Knowledge
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs
A Plot Understanding System on Reference to Both Image and Language
Learning in the Wild with Incremental Skeptical Gaussian Processes
The Logic of Qualitative Probability
Program Transtormations for VLSI
CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Towards an Integrated Discovery System
Interpretation of Definite Noun Phrases
Smooth UCT Search in Computer Poker
Existential Closures for Knowledge Compilation
Argot: Generating Adversarial Readable Chinese Texts
Constructing Decision Quivers
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
Decision Support through Argumentation-Based Practical Reasoning
Max-norm Projections for Factored MDPs
Multi-Agent Systems of Inverse Reinforcement Learners in Complex Games
IJCAI Organization
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension
Manipulating Elections by Changing Voter Perceptions
Online Hashing
Retaining Data from Streams of Social Platforms with Minimal Regret
The Concurrent, Continuous FLUX
Backjumping for Quantified Boolean Logic Satisfiability
A Pattern Classification by the Time-Varying Threshold Method
A Theorem Prover for Elementary Set Theory
Two-Stage Facility Location Games with Strategic Clients and Facilities
Neighbor Combinatorial Attention for Critical Structure Mining
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays
DECIDER-l: A System that Chooses Among Different Types of Acts
Lifelong Zero-Shot Learning
Representing Flexible Temporal Behaviors in the Situation Calculus
Physical Constraints on Human Robot Interaction
Safe Weakly Supervised Learning
Learning to Reason: The Non-Monotonic Case
A Framework for Centralized Traffic Routing in Urban Areas
Structured Inheritance Networks and Natural Language Understanding
A Contribution to the Critique of Liquid Democracy
Normative Testimony and Belief Functions: A Formal Theory of Norm Learning
DANet: Image Deraining via Dynamic Association Learning
Effective Representing of Information Network by Variational Autoencoder
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads
A Logical Account of Causal and Topological Maps
Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories
On Combinations of Binary Qualitative Constraint Calculi
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
Integrating Multiple Internet Directories by Instance-based Learning
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model
Wrapper Induction for Information Extraction
Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation
SRGAN for super-resolving low-resolution food images
A Fully Rational Account of Structured Argumentation Under Resource Bounds
Dynamic, User-Centered Resolution in Interactive Stories
Data Complexity of Query Answering in Description Logics (Extended Abstract)
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation
A Case Study of Knowledge Representation in UC
Solving Patrolling Problems in the Internet Environment
Learning User Clicks in Web Search
A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition
Sequence Generation: From Both Sides to the Middle
Denoised Attention and Question-Augmented Representations for Knowledge Tracing
The New Grammar Formalisms - A Tutorial Survey (Abstract)
Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities
A Cooperative Algorithm for Determining Surface Orientation from a Single View
Feature Selection and Kernel Design via Linear Programming
Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement
GigaPevt: Multimodal Medical Assistant
Computational Social Choice: Some Current and New Directions
How to Search Efficiently
Concise Characteristic Function Representations in Coalitional Games Based on Agent Types
Policies that Generalize: Solving Many Planning Problems with the Same Policy
Decision Trees For Optimizing Pattern - Matching Algorithms in Production Systems
Maintaining Arc Consistency using Adaptive Domain Ordering
Managing Overstaying Electric Vehicles in Park-and-Charge Facilities
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
Natural-Language Processing: Crucible for Computational Theories of Cognition
Multi-Document Abstractive Summarization Using ILP Based Multi-Sentence Compression
Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation
Masked Graph Convolutional Network
Assumption-Based Argumentation Dialogues
Ten Challenges in Propositional Reasoning and Search
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
Computer Aided Tracing of Children?s Physics Learning: a Teacher Oriented View
DANTES: An Expert System for Real-Time Network Troubleshooting
A Description and Reasoning of Plant Controllers in Temporal Logic
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
Crowdsourcing with Multiple-Source Knowledge Transfer
Influence of Classifiers and Encoders on Argument Classification in Japanese Assembly Minutes
Unsupervised Neural Aspect Extraction with Sememes
Solving Constraint Optimization Problems in Anytime Contexts
Sense Beauty by Label Distribution Learning
Dual Relation Knowledge Distillation for Object Detection
Unification of Idempotent Functions
Budget-Constrained Dynamics in Multiagent Systems
Shape Representation in Parallel Systems
Integrating Learning with Game Theory for Societal Challenges
Language Learning in Multi-Agent Systems
SDD: A New Canonical Representation of Propositional Knowledge Bases
Generalizing to Unseen Domains: A Survey on Domain Generalization
Exact Bernoulli Scan Statistics using Binary Decision Diagrams
Causality, Constraints and Indirect Effects
Revision Sequences and Nested Conditionals
Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification
SEVEN: Deep Semi-supervised Verification Networks
Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
Learnable Frequency Decomposition for Image Forgery Detection and Localization
Search Swarm: Multiagent Large Language Models Framework for E-commerce Product Search
Artificial Intelligence for Knowledge Management - 7th IFIP WG 12.6 International Workshop, AI4KM 2019, Held at IJCAI 2019, Macao, China, August 11, 2019, Revised Selected Papers
Understanding Complex Situations
You Are Wrong! - Automatic Detection of Interaction Errors from Brain Waves
Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
Towards Explainable Conversational Recommendation
MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces
Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search
Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions
New Algorithms for #2-SAT and #3-SAT
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation
Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)
Neural Logic Network Learning using Genetic Programming
DDL: Deep Dictionary Learning for Predictive Phenotyping
Theorem Proving Under Uncertainty - A Possibility Theory-based Approach
WSRFNet: Wavelet-Based Scale-Specific Recurrent Feedback Network for Diabetic Retinopathy Lesion Segmentation
Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer
Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification
Gradient Boosting with Piece-Wise Linear Regression Trees
On Consensus Extraction
Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields
Actions and Movements
Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System
A Diagnostic Algorithm based on Models at Different Level of Abstraction
Robotic Strategic Behavior in Adversarial Environments
Some General Identification Results for Linear Latent Hierarchical Causal Structure
Applications of Artificial Intelligence
Learning Spatial Similarity Distribution for Few-shot Object Counting
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
Label-Attended Hashing for Multi-Label Image Retrieval
Three-Dimensional Interpretation of Quadrilaterals
Tuning of Search of the Problem Space for Geometry Proofs
Natural Language-centered Inference Network for Multi-modal Fake News Detection
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
Proof Logging for Smart Extensional Constraints (Extended Abstract)
Semantics for Non-Flat Assumption-Based Argumentation, Revisited
Self-Managing Associative Memory for Dynamic Acquisition of Expertise in High-Level Domains
Joint Learning on Relevant User Attributes in Micro-blog
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
Single-Pass PCA of Large High-Dimensional Data
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-modal Uniform Alignment
The Bandwidth Heuristic Search
A Study of Unrestricted Abstract Argumentation Frameworks
Training for Extremum Determination of Function of Variables Measured in Names Scale
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
Comparing Conceptual Metaphor Theory-Related Features Using Classification Algorithms in Searching for Expressions Used Figuratively Within Japanese Texts
The Evolution of Artificial Social Systems
Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection
Reducing the Derivation of Redundant Clauses in Reasoning Systems
Understanding Without Proofs
Some Rules For The Automatic Synthesis Of Programs
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
Pre-sending Documents on the WWW: A Comparative Study
Spatial Problems for a Simulated Robot
Text Transformations in Contrastive Self-Supervised Learning: A Review
Implications of an automatic lexical acquisition system
Beth Definability in Expressive Description Logics
Fixed-Budget Best-Arm Identification in Structured Bandits
Efficient Representation of Linguistic Knowledge for Continuous Speech Understanding
What Can You Do with a Rock? Affordance Extraction via Word Embeddings
Two-Sided Matching Meets Fair Division
Localized Incomplete Multiple Kernel k-means
Backdoor Attack on Vertical Federated Graph Neural Network Learning
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
Computing Ramifications by Postprocessing
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
Penalizing Side Effects using Stepwise Relative Reachability
A User Interface for Exploring and Querying Knowledge Graphs (Extended Abstract)
Modularity Based Community Detection with Deep Learning
A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics
A Human Activity Aware Learning Mobile Music Player
The Traits of the Personable
Indirect and Conditional Sensing in the Event Calculus
Efficient Stochastic Local Search for MPE Solving
ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images
CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract)
On the Thresholds of Knowledge
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
Generalisation of Alpha-Beta Search for AND-OR Graphs With Partially Ordered Values
Hierarchical Plan Merging with Application to Process Planning
The Predictive Toxicology Evaluation Challenge
Facility Reallocation on the Line
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Online Learning and Exploiting Relational Models in Reinforcement Learning
DeQED: An Efficient Divide-and-Coordinate Algorithm for DCOP