yusuke1997/dblp-id-title huggingface dataset:
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
Learning of Agents with Limited Resources
Video-Context Aligned Transformer for Video Question Answering
Pimtool, an Expert System to Troubleshoot Computer Hardware Failures
Augmenting Flight Training with AI to Efficiently Train Pilots
Improving Long-Horizon Imitation through Instruction Prediction
A Collaborative Parametric Design Agent
Cold-Start Heterogeneous-Device Wireless Localization
Task Scoping for Efficient Planning in Open Worlds (Student Abstract)
iBundler: An Agent-Based Decision Support Service for Combinatorial Negotiations
Teaching Diagnostic Skills Using AI: An Architecture Suitable for Students and Teachers
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability
Anomaly Attribution with Likelihood Compensation
Non-Stationary Policy Learning in 2-Player Zero Sum Games
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
A CP-Based Approach for Popular Matching
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
Online Learning and Profit Maximization from Revealed Preferences
Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text
MGNet: Learning Correspondences via Multiple Graphs
Learning to Solve Routing Problems via Distributionally Robust Optimization
Explicit Relational Reasoning Network for Scene Text Detection
Cached Transformers: Improving Transformers with Differentiable Memory Cachde
Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference, July 9-13, 2005, Pittsburgh, Pennsylvania, USA
Agentic AI for Digital Twin
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space
Keyphrase Generation for Scientific Articles Using GANs (Student Abstract)
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
Usage Governance Advisor: From Intent to AI Governance
Linear Submodular Bandits with a Knapsack Constraint
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
Toward Finding Malicious Cyber Discussions in Social Media
AI-generated Image Quality Assessment in Visual Communication
Improving Biomedical Information Retrieval with Neural Retrievers
The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions?
Sparse Data and the Effect of Overfitting Avoidance in Decision Tree Induction
Towards Automated Choreographing of Web Services Using Planning
Optimal Proportional Cake Cutting with Connected Pieces
Contrastive Training for Models of Information Cascades
Impromptu Teams of Heterogeneous Mobile Robots
Margin-Based Feature Selection in Incomplete Data
Machine Learning for Adaptive Image Interpretation
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility
A Maximum Likelihood Framework for Integrating Taxonomies
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Weighted-Sampling Audio Adversarial Example Attack
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Incorporating Structured Commonsense Knowledge in Story Completion
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space
Towards Autonomic Computing: Adaptive Job Routing and Scheduling
Computer Simulation of Statistics and Educational Measurement StatSim: An Intelligent Tutoring System for Statistics
Classification Confidence Scores with Point-wise Guarantees
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
A POMDP Model of Eye-Hand Coordination
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
Temporal Coherent Object Flow for Multi-Object Tracking
Language Independent Extractive Summarization
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text
Political Bias Prediction Models Focus on Source Cues, Not Semantics
CTD4 - a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
Context-Guided Adaptive Network for Efficient Human Pose Estimation
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
Belief Revision with Unreliable Observations
Predicting the Quality of User Experiences to Improve Productivity and Wellness
FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem
Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
Learning Human Driving Behaviors with Sequential Causal Imitation Learning
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks
Exploring the Structure of Rule Based Systems
Tagging Address Queries in Maps Search
W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change
Inducing Constraint-Based Grammars using a Domain Ontology
Markov Chain Monte-Carlo Algorithms for the Calculation of Dempster-Shafer Belief
Language Model Pre-training on True Negatives
Link Prediction in Multilayer Networks via Cross-Network Embedding
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
On Order-Constrained Transitive Distance Clustering
Optimising Spatial Teamwork Under Uncertainty
Classifying Emails into Human vs Machine Category
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation
Visual Dialogue State Tracking for Question Generation
Fair Division of Mixed Divisible and Indivisible Goods
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
Word-Level Contextual Sentiment Analysis with Interpretability
Building Effective Representations for Sketch Recognition
Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
Trust Prediction with Propagation and Similarity Regularization
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
The Geometric Block Model
Integrating Planning and Reacting in a Heterogeneous Asynchronous Architecture for Controlling Real-World Mobile Robots
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem
Q-functionals for Value-Based Continuous Control
Likelihood, Probability, and Knowledge
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words
Discovering Sequential Patterns with Predictable Inter-event Delays
Conducting Neuroscience to Guide the Development of AI
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory
Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity
Generating Event Causality Hypotheses through Semantic Relations
Personalized Cross-Silo Federated Learning on Non-IID Data
Reinforcement Learning for Datacenter Congestion Control
Why AM and Eurisko Appear to Work
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
Equilibrium Learning in Auction Markets
Understanding Causal Descriptions of Physical Systems
Data Fine-Tuning
Combining Multiple Heuristics Online
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation
Unsupervised Generative Adversarial Cross-Modal Hashing
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability
Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning
Deep Embedding Features for Salient Object Detection
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
User Models and User Interfaces
Increasing Biped Walk Robustness Through Playback and Corrective Demonstration
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval
Touchless Telerobotic Surgery - Is It Possible at All?
LIMIP: Lifelong Learning to Solve Mixed Integer Programs
'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia
CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation
Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization
Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization
Prompt-based Model for Acronym Disambiguation via Negative Sampling
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering
Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation
Reasoning from Desires to Intentions: A Dialectical Framework
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation
An Integrated Agent for Playing Real-Time Strategy Games
Differentially Private Learning with Small Public Data
Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble
Needles in a Haystack: Plan Recognition in Large Spatial Domains Involving Multiple Agents
BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees
Online Semantic Extraction by Backpropagation Neural Network with Various Syntactic Structure Representations
Regression Based Causal Induction with Latent Variable Models
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
Generating Pictorial Storylines Via Minimum-Weight Connected Dominating Set Approximation in Multi-View Graphs
DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification
Scaled ReLU Matters for Training Vision Transformers
Total-Order Multi-Agent Task-Network Planning for Contract Bridge
Abstracting from Observation-Equivalent Entities in Human Behavior Modeling
Weakly-Supervised Opinion Summarization by Leveraging External Information
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Complexity Analysis of Real-Time Reinforcement Learning
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning
Inverse Reinforcement Learning with Natural Language Goals
Detection of Plan Deviation in Multi-Agent Systems
Design as Refinement Plus Constraint Propagation: The VEXED Experience
FIMAP: Feature Importance by Minimal Adversarial Perturbation
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning
Justification-Based Reliability in Machine Learning
Representing and Reasoning about Mappings between Domain Models
Model-Based Diagnosis of Multi-Agent Systems: A Survey
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract)
Distributed Ranking with Communications: Approximation Analysis and Applications
Social Aware Assignment of Passengers in Ridesharing (Student Abstract)
Spatial-Temporal Person Re-Identification
When Did You Start Doing that Thing that You Do? Interactive Activity Recognition and Prompting
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
From Actions to Programs as Abstract Actual Causes
On Effects of Steering Latent Representation for Large Language Model Unlearning
Knowledge Refinement via Rule Selection
Attentive Temporal Pyramid Network for Dynamic Scene Classification
MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt
The Price of Anarchy in ROSCAS with Risk Averse Agents
Pilot: Building the Federated Multimodal Instruction Tuning Framework
Matroid Constrained Fair Allocation Problem
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
Ontological Smoothing for Relation Extraction with Minimal Supervision
Real-Time Route Search by Locations
Tap and Shoot Segmentation
Cost Minimization for Equilibrium Transition
Perception Score: A Learned Metric for Open-ended Text Generation Evaluation
Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration
Asymptotically Unambitious Artificial General Intelligence
Domain Generalised Faster R-CNN
Dynamic Execution of Temporally and Spatially Flexible Reactive Programs
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
Interleaving Temporal Planning and Execution in Robotics Domains
Joint Morphological Generation and Syntactic Linearization
Multiagent Metareasoning through Organizational Design
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors
Language Splitting and Relevance-Based Belief Change in Horn Logic
Learning on the Job: Online Lifelong and Continual Learning
The Influence of Emotion Expression on Perceptions of Trustworthiness in Negotiation
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization
AI and Multiplayer Games
Distributed Projection-Free Online Learning for Smooth and Convex Losses
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract)
State Agnostic Planning Graphs and the Application to Belief-Space Planning
A Novel Application of Theory Refinement to Student Modeling
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
On the Unstable Convergence Regime of Gradient Descent
PAT: Pruning-Aware Tuning for Large Language Models
Efficient K-Shot Learning With Regularized Deep Networks
A Semi-Supervised Learning Approach to Why-Question Answering
Continual Unsupervised Generative Modelling via Online Optimal Transport
Discovering Admissible Simultaneous Equations of Large Scale Systems
Stationary Diffusion State Neural Estimation for Multiview Clustering
OnAIR: Applications of the NASA On-Board Artificial Intelligence Research Platform
Exploiting Auxiliary Caption for Video Grounding
Contraction and Revision over DL-Lite TBoxes
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
Deception through Half-Truths
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders
MRI Reconstruction with Interpretable Pixel-Wise Operations Using Reinforcement Learning
Diversified Bayesian Nonnegative Matrix Factorization
Re-Attentional Controllable Video Diffusion Editing
Investigating the Role of Ensemble Learning in High-Value Wine Identification
Understanding and Leveraging the Learning Phases of Neural Networks
Trafformer: Unify Time and Space in Traffic Prediction
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting
Interactive Categorization of Containers and Non-Containers by Unifying Categorizations Derived from Multiple Exploratory Behaviors
OKBC: A Programmatic Foundation for Knowledge Base Interoperability
Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers
Axiomatic Aggregations of Abductive Explanations
Identifying and Eliminating Mislabeled Training Instances
Multi-View Learning from Disparate Sources for Poverty Mapping
Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
Improving Gradient Flow with Unrolled Highway Expectation Maximization
Lifelong Learning, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7, 2011
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering
End-to-End Line Drawing Vectorization
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation
Faster Adaptive Federated Learning
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
Semi-Implicit Neural Ordinary Differential Equations
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Kernel Methods for Word Sense Disambiguation and Acronym Expansion
The Acquisition, Analysis and Evaluation of Imprecise Requirements for Knowledge-Based Systems
Policy Optimization as Online Learning with Mediator Feedback
Deep Unsupervised Image Hashing by Maximizing Bit Entropy
CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize Competition
PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
Learning to Deblur Face Images via Sketch Synthesis
Safe Reinforcement Learning via Formal Methods: Toward Safe Control Through Proof and Learning
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
cc-Golog: Towards More Realistic Logic-Based Robot Controllers
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing
LMD: Faster Image Reconstruction with Latent Masking Diffusion
Social Capital in Network Organizations
Representation Learning by Detecting Incorrect Location Embeddings
Human Uncertainty Inference via Deterministic Ensemble Neural Networks
A Computational Market Model for Distributed Configuration Design
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention
On Finding Hubs in High Dimensions with Sampling
Two-Stream Convolution Augmented Transformer for Human Activity Recognition
Estimating Causal Effects Using Weighting-Based Estimators
Rank Aggregation via Low-Rank and Structured-Sparse Decomposition
Modeling Reciprocal Behavior in Human Bilateral Negotiation
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Make RepVGG Greater Again: A Quantization-Aware Approach
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification
On the Cooling-Aware Workload Placement Problem
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
A Prototype Application of Fuzzy Logic and Expert Systems in Education Assessment
Cross-Modal Image Clustering via Canonical Correlation Analysis
Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery
Conventional Machine Learning for Social Choice
Learning Agent Communication under Limited Bandwidth by Message Pruning
SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification
Multi-Task Deep Learning for Predicting Poverty From Satellite Images
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays
Learning Future Classifiers without Additional Data
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
Predictive Models for Determining If and When to Display Online Lead Forms
Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks
Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee
Braess's Paradox of Generative AI
Dramatis: A Computational Model of Suspense
Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Symmetry Breaking for k-Robust Multi-Agent Path Finding
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond
Balanced and Fair Partitioning of Friends
Commonsense for Zero-Shot Natural Language Video Localization
Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems
Robust Stable Marriage
Asymmetric Discrete Graph Hashing
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance
Molecular Optimization Model with Patentability Constraint
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
NESTA: NASA Engineering Shuttle Telemetry Agent
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
Computational Aspects of Nearly Single-Peaked Electorates
A Machine Learning Suite for Machine Components' Health-Monitoring
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction
Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks
Real3D: The Curious Case of Neural Scene Degeneration
Fake News and Hostile Posts Detection Using an Ensemble Learning Model
Easy Predictions for the Easy-Hard-Easy Transition
Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract)
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks
Design of an Online Course on Knowledge-Based AI
Selective Sampling with Co-Testing: Preliminary Results
Towards Inductive Logic Programming for Game Analysis: Leda