yusuke1997/dblp-id-title huggingface dataset:
A Deterministic Partition Function Approximation for Exponential Random Graph Models
Branch & Bound Formulation for Sequential and Parallel Game Tree Searching: Preliminary Results
Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations?
Online Group Feature Selection
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
Transferable Curricula through Difficulty Conditioned Generators
Relating Properties of Surface Curvature to Image Intensity
KBQA: An Online Template Based Question Answering System over Freebase
Fair and Explainable Dynamic Engagement of Crowd Workers
Qualitative Temporal Reasoning about Vague Events
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups
An Answer Set Programming Environment for High-Level Specification and Visualization of FCA
MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network
Learning Preference Models with Sparse Interactions of Criteria
Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction
Potential Driven Reinforcement Learning for Hard Exploration Tasks
Learning Possibilistic Logic Theories from Default Rules
From Approximate to Optimal Solutions: Constructing Pruning and Propagation Rules
The Ontology Revision
Persuasion among Agents: An Approach to Implementing a Group Decision System Based on Multi-Agent Negotiation
Federated Low-Rank Adaptation for Foundation Models: A Survey
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
AI Adventures Worth Writing Home About
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Accurate and Low-cost Location Estimation Using Kernels
Faster Conflict Generation for Dynamic Controllability
Diffusion Incentives in Cooperative Games
Exploring Safety Supervision for Continual Test-time Domain Adaptation
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
On the Parameterized Complexity of Polytree Learning
Negotiation and Task Sharing Among Autonomous Agents in Cooperative Domains
Searching for the Organizational Memory Using Fuzzy Modeling
Investigations into the Applications of Deontic Logic
Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint
Federated Prompt Learning for Weather Foundation Models on Devices
Lazy Paired Hyper-Parameter Tuning
Split Q Learning: Reinforcement Learning with Two-Stream Rewards
First-Order Progression beyond Local-Effect and Normal Actions
Scaling Up Unbiased Search-based Symbolic Regression
Augmenting Anchors by the Detector Itself
A Dynamic Theory of Incentives in Multi-Agent Systems
Using Natural Language for Reward Shaping in Reinforcement Learning
Perception Evolution Network Adapting to the Emergence of New Sensory Receptor
Online Optimization of Video-Ad Allocation
Pose-preserving Cross Spectral Face Hallucination
Pattern Structures for News Clustering
Incorporating Reviewer and Product Information for Review Rating Prediction
Representation and Use of Explicit Justifications for Knowledge Base Refinements
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios
A Tractable Class of Abduction Problems
Adaptive Variance Reducing for Stochastic Gradient Descent
Information Extraction from Tree Documents by Learning Subtree Delimiters
Iterated Belief Change: A Transition System Approach
Domain-Dependent and Domain-Independent Problem Solving Techniques
A Cognitively Inspired Approach for Knowledge Representation and Reasoning in Knowledge-Based Systems
When Rigging a Tournament, Let Greediness Blind You
The Commercialization of AI: Part 2. The Vendor Viewpoint (Panel)
Predicting ICU mortality by supervised bidirectional LSTM networks
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
Automated Composition of Web Services by Planning at the Knowledge Level
On the Semantics of Counterfactuals
E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation
Inverse reinforcement learning for interactive systems
An Equational Approach to Theorem Proving in First-Order Predicate Calculus
VimGeo: Efficient Cross-View Geo-Localization with Vision Mamba Architecture
RHash: Robust Hashing via L_infinity-norm Distortion
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Law Discovery using Neural Networks
Tractable Approximations of Consistent Query Answering for Robust Ontology-based Data Access
Learning Hierarchical Task Networks for Nondeterministic Planning Domains
Evolving Beharioral Strategies in Predators and Prey
From Logic Programming Semantics to the Consistency of Syntactical Treatments of Knowledge and Belief
DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation
Captioning Bosch: A Twitter Bot
Agent Design Consistency Checking via Planning
Fair Incomplete Multi-View Clustering via Distribution Alignment
Inductive Inference on the Base of Fixed Point Theory
Description-directed Natural Language Generation
A Complete Characterization of Projectivity for Statistical Relational Models
Reducing Accidental Complexity in Planning Problems
Two-stage Training for Learning from Label Proportions
Conflict-Driven Answer Set Solving
The Shapley Value in Machine Learning
Sampling-Based Belief Revision
Practical and Secure Federated Recommendation with Personalized Mask
Relevance in Structured Argumentation
A Shape Representation Based on Geometric Topology: Bumps, Gaussian Curvature, and the Topological Zodiac
On Defining the Intelligence of Behaviour and Machines
An Improved Grid-Based Approximation Algorithm for POMDPs
Customer Churn Prediction in FMCG Sector Using Machine Learning Applications
Efficient NLP Model Finetuning via Multistage Data Filtering
Meta-Knowledge and Cognition
HLMTrans: A Sim-to-Real Transfer Framework for Spatial Crowdsourcing with Human-Guided Language Models
Factored Planning Using Decomposition Trees
Trainability: Developing a responsive learning system
Active Object Reconstruction Using a Guided View Planner
A Proof-Checker for Dynamic Logic
Representation and Inference in the Consul System
Temporally Coarse Representation of Behavior for Model-based Troubleshooting of Digital Circuits
HyperTrans: Efficient Hypergraph-Driven Cross-Domain Pattern Transfer in Image Anomaly Detection
Computing Possibly Optimal Solutions for Multi-Objective Constraint Optimisation with Tradeoffs
Inconsistency Measurement for Improving Logical Formula Clustering
Handling Open Knowledge for Service Robots
TBA*: Time-Bounded A*
A Hierarchical Approach to Population Training for Human-AI Collaboration
On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation
Finding Possible Winners in Spatial Voting with Incomplete Information
Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment
Scaling Down Candidate Sets Based on the Temporal Feature of Items for Improved Hybrid Recommendations
Mixed Discrete-Continuous Heuristic Generative Planning Based on Flow Tubes
What Users Care About: A Framework for Social Content Alignment
Robust Unsupervised Feature Selection
CISA: Chinese Information Structure Analysis for Scientific Writing with Cross-lingual Adversarial Learning
Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract)
Flow-Based Network Creation Games
DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks
Incorporating Schema-Aware Description into Document-Level Event Extraction
Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems)
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
Interpretation of Best Medical Coding Practices by Case-Based Reasoning - A User Assistance Prototype for Data Collection for Cancer Registries
Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees
On Metric DBSCAN with Low Doubling Dimension
Dynamic Speech Discrimination Using an Articulatory Model
On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text
Proceedings of the 1st International Joint Conference on Artificial Intelligence, Washington, DC, USA, May 7-9, 1969
Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses
Privacy Safe Representation Learning via Frequency Filtering Encoder
Robot Weightlifting By Direct Policy Search
An Advisory System for Developing Data Representations
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
Active Imitation Learning of Hierarchical Policies
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization
Pyconstruct: Constraint Programming Meets Structured Prediction
Experimenting with Heuristics for Answer Set Programming
Finding Relations in Polynomial Time
On-Line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing
Federated Stochastic Bilevel Optimization with Fully First-Order Gradients
Compact Representation of Value Function in Partially Observable Stochastic Games
Proceedings of the 11th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R. China; August 20, 2023
Multi-Agent Corridor Generating Algorithm
A Novel Approach for Adverse Events Detection
Verifying Quantized Graph Neural Networks is PSPACE-complete
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains
GASP: Gated Attention for Saliency Prediction
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
On the Problem of Assigning PhD Grants
Summarizing Source Code with Transferred API Knowledge
A Set of APL Functions to Play New Eleusis
Solving POMDPs: RTDP-Bel vs. Point-based Algorithms
Unified Representation and Lifted Sampling for Generative Models of Social Networks
Challenge: How IJCAI 1999 can Prove Value of AI by Using AI
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices
Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditions
A Brain-Computer Interface to a Plan-Based Narrative
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
QCSP Made Practical by Virtue of Restricted Quantification
A software architecture for dynamically generated adaptive Web stores
A Formalization of Equilibria for Multiagent Planning
Using CBR to Drive IR
Towards a Combined Representation for Spacial and Temporal Reference
Soft Robotics: The Next Generation of Intelligent Machines
Universal Reinforcement Learning Algorithms: Survey and Experiments
Cross-Talk Reduction
A Dynamic Approach for MPE and Weighted MAX-SAT
Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods
Merging in the Horn Fragment
Trust No One: Evaluating Trust-based Filtering for Recommenders
A Top-Down Tree Model Counter for Quantified Boolean Formulas
A Method of Generating Calligraphy of Japanese Character using Deformable Contourse
A Generalized Arc-Consistency Algorithm for a Class of Counting Constraints
Learning to Improve both Efficiency and Quality of Planning
Deep Descriptive Clustering
Character Tracking and the Understanding of Narratives
Multi-Task Deep Reinforcement Learning for Continuous Action Control
LPDetective: Dusting the LLM Chats for Prompt Template Abusers
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events
System Support for the Stanford Hand-Eye System
Semantically Guided Theorem Proving for Diagnosis Applications
A User-Adaptive Interface Agency for Interaction with a Virtual Environment
Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints
Optimizing Molecular Cloning of Multiple Plasmids
Knowledge Graphs Enhanced Neural Machine Translation
A Logic for Representing Default and Prototypical Properties
Completion of Disjunctive Logic Programs
Dynamic Verification of Trust in Distributed Open Systems
Cardinality Encodings for Graph Optimization Problems
Activity-Based Scheduling of Science Campaigns for the Rosetta Orbiter
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning
Classifying and Tracking International Aid Contribution Towards SDGs
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
Discovering Classes of Strongly Equivalent Logic Programs
The Transformation Logics
Real-Time Web Scale Event Summarization Using Sequential Decision Making
Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering
A Geometric Approach to Total Envisioning
Imitation Learning from Video by Leveraging Proprioception
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control
Proportionality Guarantees in Elections with Interdependent Issues
Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ 1 -Norm Maximization
A Dual Stream Visual Tokenizer for LLM Image Generation
Universal Unification and Regular Equational ACFM Theories
Integrating Problem-Solving Methods into CYC
A Many-Sorted Calculus with Polymorphic Functions Based on Resolution and Paramodulation
Open Rights or Secret Risk Assessments? New Challenges for Public Law in an Age of Artificial Intelligence and the Law
Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract)
A Case Based Approach to the Generation of Musical Expression
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation
Optimal Auction Design with User Coupons in Advertising Systems
Privileged label enhancement with multi-label learning
A Theory of Average-Case Compilability in Knowledge Representation
An Experts Algorithm for Transfer Learning
Uncertain Time Series Classification
Swift: Compiled Inference for Probabilistic Programming Languages
An Augmented EBL and its Application to the Utility Problem
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Toward Completing the Picture of Control in Schulze and Ranked Pairs Elections
Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction
A Principled Approach for Learning Task Similarity in Multitask Learning
Motor Simulation via Coupled Internal Models Using Sequential Monte Carlo
Shared control of a robot using EEG-based feedback signals
Mediators to Access Public Data Resources
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
Heuristico-Conceptual Programming
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Transformers as Soft Reasoners over Language
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification
Abducing Priorities to Derive Intended Conclusions
Comparative Analysis of STructurally Different Dynamical Systems
CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling
Model-Based Diagnosis with Multiple Observations
IMPsys: An Intelligent Mold Processing System for Smart Factory
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
Embodied Multimodal Multitask Learning
Applying interchangeability techniques to the distributed breakout algorithm
The Self-Organizing Desk
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Tractable Reasoning with Incomplete First-Order Knowledge in Dynamic Systems with Context-Dependent Actions
FedSampling: A Better Sampling Strategy for Federated Learning
Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
Realizability of Three-Valued Semantics for Abstract Dialectical Frameworks
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
Efficient Rule-Based Inferencing for OWL EL
Self-weighted Multiview Clustering with Multiple Graphs
Scene Analysis Based on Imperfect Edge Data
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
An Evidence-based Framework for a Theory of Inheritance
Time-Aware Multi-Scale RNNs for Time Series Modeling
COGRASP: Co-Occurrence Graph Based Stock Price Forecasting
Cohesion, coupling and the meta-theory of actions
∃-STRIPS: Existential Quantification in Planning and Constraint Satisfaction
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification
Learning Hedonic Games
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
A Systematic Survey on Federated Semi-supervised Learning
Integrating Inductive Neural Network Learning and Explanation-Based Learning
Reduction of Enumeration in Grammar Acquisition
Combining RCC-8 with Qualitative Direction Calculi: Algorithms and Complexity
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Mental Health Computing via Harvesting Social Media Data
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
The Use of Simulation Models and Human Advice to Build an Expert System for the Defense and Control of River Floods
Anti-unification and Generalization: A Survey
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
Safety Verification and Universal Invariants for Relational Action Bases
A Framework for Decentralized Qualitative Model-Based Diagnosis
Computational Semantics of Noun Compounds in a Semantic Space Model
Budget-feasible Procurement Mechanisms in Two-sided Markets
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach
Social Image Parsing by Cross-Modal Data Refinement
Stackelberg Security Games: Looking Beyond a Decade of Success
Diagnosing Multiple Persistent and Intermittent Faults
On the Role of Context-Specific Independence in Probabilistic Inference
Iterated Theory Base Change: A Computational Model
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective
Self-reconfiguring Robots: Successes and Challenges
Multiple Noisy Label Distribution Propagation for Crowdsourcing
Online Fair Division
Challenges and Opportunities of Building Fast GBDT Systems
Training-Time Optimization of a Budgeted Booster
Achieving Proportional Representation in Conference Programs
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
The Stereo Matching Problem From the Topological Viewpoint
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract)
Attributed Graph Clustering with Dual Redundancy Reduction
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
Modeling Spatial Auditory Attention: Handling Equiprobable Attended Locations
VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States
Active Learning for Conversational Interfaces in Healthcare Applications
U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)
Managing Temporal Uncertainty Through Waypoint Controllability
Computer Games - 5th Workshop on Computer Games, CGW 2016, and 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, Held in Conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, New York City, NY, USA, July 9-10, 2016, Revised Selected Papers
Robust Multi-unit Auction Protocol against False-name Bids
Ordering Problem Subgoals
Holistic Approach to Smart Factory
SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability
Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets
Learning Rules for Large Vocabulary Word Sense Disambiguation
Leveraging Human Attention in Novel Object Captioning
Results in Knowledge-Based Program Synthesis
Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization
Prototype-based Optimal Transport for Out-of-Distribution Detection
VAEGAN: A Collaborative Filtering Framework based on Adversarial Variational Autoencoders
Image-embodied Knowledge Representation Learning
An Argumentation-Based Interpreter for Golog Programs
Domain Event Extraction and Representation with Domain Ontology
Heuristics for Numeric Planning via Subgoaling
Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies
Dual Reweighting Domain Generalization for Face Presentation Attack Detection
Self-supervised Graph Neural Networks for Multi-behavior Recommendation
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
An Asymptotically Optimal VCG Redistribution Mechanism for the Public Project Problem
Top-Down Guidance for Learning Object-Centric Representations
Mutual Information Estimation using LSH Sampling
A Survey of Multimodal Sarcasm Detection
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks
Automatic Synthesis of Smart Table Constraints by Abstraction of Table Constraints
How to Learn/What to Learn
Active Goal Recognition Design
Generating Discourse across Several User Models: Maximizing Belief while Avoiding Boredom and Overload
Adversarial Explanations for Knowledge Graph Embeddings
LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning
Robot Planning, Execution, and Monitoring in an Uncertain Environment
Information Gathering System: Internet Navigation
A Review-Driven Neural Model for Sequential Recommendation
Computational ontologies of parthood, componenthood, and containment
Are There Any Nicely Structured Preference Profiles Nearby?
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach
Formal Properties and Implementation of Bidirectional Charts
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning
Plan Synthesis: A Logical Perspective
Preventing Latent Diffusion Model-Based Image Mimicry via Angle Shifting and Ensemble Learning
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy"
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information
An Architecture for Proof Planning Systems
O2ARC 3.0: A Platform for Solving and Creating ARC Tasks
Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report
COMODEL: A Language for the Representation of Technical Knowledge
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks
Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness