yusuke1997/dblp-id-title huggingface dataset:
Towards a Dataset for Human Computer Communication via Grounded Language Acquisition
Writing Stories with Help from Recurrent Neural Networks
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract)
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
STHANA: Profitability Forecast and Situation Analysis for Automated Teller Machines
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28 - August 1, 2002, Edmonton, Alberta, Canada
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems
Knowledge-aware Dialogue Generation with Hybrid Attention (Student Abstract)
Structured Bayesian Networks: From Inference to Learning with Routes
Dynamic Acioss-Time Measurement Interpretation
Preserving Ambiguities in Generation via Automata Intersection
Dropout Model Evaluation in MOOCs
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series
Online Learning of Coalition Structures by Selfish Agents
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Joule Counting Correction for Electric Vehicles Using Artificial Neural Networks
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
Multi-Type Self-Attention Guided Degraded Saliency Detection
Self-Prompting Analogical Reasoning for UAV Object Detection
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
Hierarchical Macro Strategy Model for MOBA Game AI
Inconsistent Planning: When in Doubt, Toss a Coin!
Patrol Strategies to Maximize Pristine Forest Area
Addressing Execution and Observation Error in Security Games
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
On the Performance of GoogLeNet and AlexNet Applied to Sketches
Language Prompt for Autonomous Driving
SceneX: Procedural Controllable Large-Scale Scene Generation
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
The Effect of Similarity between Human and Machine Action Choices on Adaptive Automation Performance
Premise Set Caching for Enumerating Minimal Correction Subsets
On Computing Explanations in Argumentation
Robust Classification Systems for Imprecise Environments
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
An Algorithmic Solution of N-Person Games
Efficient Deep Learning for Multi Agent Pathfinding
Learning Mixtures of Random Utility Models
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation
A Support-Based Algorithm for the Bi-Objective Pareto Constraint
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction
Stochastic Optimization for Kernel PCA
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Adversarial Network Embedding
What Edited Retweets Reveal about Online Political Discourse
Multiple Fault Diagnosis from FMEA
Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning
Exploration via State influence Modeling
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size
Cooperative Plan Identification: Constructing Concise and Effective Plan Descriptions
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation
Phase Transitions and Complexity of Weighted Satisfiability and Other Intractable Parameterized Problems
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
Modeling Choices in Quasigroup Completion: SAT vs. CSP
A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding
A Framework for Plot Control in Interactive Story Systems
A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
A Stochastic Approach to Stereo Vision
A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation
Active Learning with Committees
Learning from Demonstration in Spatial Exploration
Comparing Artificial Intelligence Curricula in Canadian and US Universities
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization
Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor
Transfer Learning by Structural Analogy
A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection
Measuring Strong Inconsistency
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation
Reasoning with Minimal Belief and Negation as Failure: Algorithms and Complexity
Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach
Reforming an Envy-Free Matching
The Design of Collectives of Agents to Control Non-Markovian Systems
End-to-End Active Learning for Computer Security Experts
Coordination of Multiple Teams of Robots for an Optimal Global Plan
Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation
Deterministic versus Probabilistic Methods for Searching for an Evasive Target
An Efficient Cross Product Representation of the Constraint Satisfaction Problem Search Space
Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs
Sparse Compositional Metric Learning
Localized Centering: Reducing Hubness in Large-Sample Data
Disjunctive Temporal Problems under Structural Restrictions
Newton Optimization on Helmholtz Decomposition for Continuous Games
A Hierarchical Multi-Task Approach for Learning Embeddings from Semantic Tasks
Extending Dynamic Backtracking to Solve Weighted Conditional CSPs
Robustness Guarantees for Mode Estimation with an Application to Bandits
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
Decentralized High-Dimensional Bayesian Optimization With Factor Graphs
Pointing: A Way Toward Explanation Dialogue
Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification
Active Advice Seeking for Inverse Reinforcement Learning
Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing
Learning With Single-Teacher Multi-Student
Enhancing Machine Learning Classification for Electrical Time Series Applications
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract)
Topical Analysis of Interactions Between News and Social Media
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language
Active Learning for Hierarchical Wrapper Induction
Mixed Constraint Satisfaction: A Framework for Decision Problems under Incomplete Knowledge
[CL-AFF Shared Task] Multi-label Text Classification Using an Emotion Embedding Model
TDAF: Top-Down Attention Framework for Vision Tasks
Unbounded Orchestrations of Transducers for Manufacturing
SemRec: A Semantic Enhancement Framework for Tag Based Recommendation
Risk Minimization in the Presence of Label Noise
Expectation-Based Versus Potential-Aware Automated Abstraction in Imperfect Information Games: An Experimental Comparison Using Poker
Reciprocal Hash Tables for Nearest Neighbor Search
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing
Verbal Assistance in Tactile-Map Explorations: A Case for Visual Representations and Reasoning
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care
Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation
Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion
Wafer Scale Integration for Massively Parallel Memory-Based Reasoning
Algorithmic Concept-Based Explainable Reasoning
Backdoors to Tractability of Answer-Set Programming
Weighted Clustering
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
Problems in Large-Scale Image Classification
Machines of Finite Depth: Towards a Formalization of Neural Networks
Identifiability from a Combination of Observations and Experiments
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence
Subtask Gated Networks for Non-Intrusive Load Monitoring
Emergence of Social Punishment and Cooperation through Prior Commitments
CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
A Simple, but NP-Hard, Motion Planning Problem
Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation
PHR-DIFF: Portrait Highlights Removal via Patch-aware Diffusion Model
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
Bridging the Knowledge Gap: Understanding User Expectations for Trustworthy LLM Standards
Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks
Analogical Learning of Visual/Conceptual Relationships in Sketches
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments
Good Rationalizations of Voting Rules
Automated Phase Portrait Analysis by Integrating Qualitative and Quantitative Analysis
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
A Character-Centric Neural Model for Automated Story Generation
An E-Learning Recommender That Helps Learners Find the Right Materials
FreeEnricher: Enriching Face Landmarks without Additional Cost
Dynamic Instance Normalization for Arbitrary Style Transfer
Predicting Resource Use with Case-Based Plan Recognition
Pushing the Limits of BFP on Narrow Precision LLM Inference
Non-Autoregressive Machine Translation with Auxiliary Regularization
A Machine Learning Approach to Identify Houses with High Lead Tap Water Concentrations
Compressing Pattern Databases
Shading Into Texture
Multiple-Goal Search Algorithms and their Application to Web Crawling
Deciding Acceptance in Incomplete Argumentation Frameworks
Joint Representation Learning for Multi-Modal Transportation Recommendation
A Robust Drift Detection Algorithm with High Accuracy and Low False Positives Rate
Robustness of Bayesian Pool-Based Active Learning Against Prior Misspecification
A General Paradigm for A.I. Search Procedures
Metarepresentational Versus Control Theories of Metacognition
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates
Data-Adaptive Metric Learning with Scale Alignment
Exploring Artificial Intelligence in English Language Arts with StoryQ
Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain
Sketch and Refine: Towards Fast and Accurate Lane Detection
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
Task Learning through Visual Demonstration and Situated Dialogue
Class-Independent Regularization for Learning with Noisy Labels
Improving Exploration in UCT Using Local Manifolds
Online Active Learning of Reject Option Classifiers
Copy That! Editing Sequences by Copying Spans
A Clinician's Tool for Analyzing Non-Compliance
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles
Cross-Lingual Bootstrapping of Semantic Lexicons: The Case of FrameNet
Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables
Towards Minimal Supervision BERT-Based Grammar Error Correction (Student Abstract)
From Tweets to Wellness: Wellness Event Detection from Twitter Streams
The Price of Neutrality for the Ranked Pairs Method
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes
Detection-Based Intermediate Supervision for Visual Question Answering
Teaching Classification Boundaries to Humans
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Distributed Weighted Parameter Averaging for SVM Training on Big Data
Word Level Robustness Enhancement: Fight Perturbation with Perturbation
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
Exploring the Duality in Conflict-Directed Model-Based Diagnosis
Urban Region Embedding via Multi-View Contrastive Prediction
Planning Under Uncertainty via Stochastic Statisfiability
Deep Ranking for Style-Aware Room Recommendations (Student Abstract)
A Sequence Labeling Approach to Deriving Word Variants
A Complete Criterion for Value of Information in Soluble Influence Diagrams
Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming
A Global Constraint for Bin-Packing with Precedences: Application to the Assembly Line Balancing Problem
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
FairTP: A Prolonged Fairness Framework for Traffic Prediction
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
Adversarial Permutation Guided Node Representations for Link Prediction
Unsupervised Adversarially Robust Representation Learning on Graphs
Piecewise Linear Reasoning
Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction
Resilient Upgrade of Electrical Distribution Grids
Gene Regulatory Network Inference using 3D Convolutional Neural Network
XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation
LASS: A Simple Assignment Model with Laplacian Smoothing
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
Data with High and Consistent Preference Difference Are Better for Reward Model
Factored Symmetries for Merge-and-Shrink Abstractions
Replicating Electoral Success
TONIC: Target Oriented Network Intelligence Collection for the Social Web
HyperFast: Instant Classification for Tabular Data
Scheduling for Transfers in Pickup and Delivery Problems with Very Large Neighborhood Search
Sustaining Fairness via Incremental Learning
An Enhanced Advising Model in Teacher-Student Framework using State Categorization
Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
Privacy-Preserving Gradient Boosting Decision Trees
Sequence-Form Algorithm for Computing Stackelberg Equilibria in Extensive-Form Games
Decision Making Over Combinatorially-Structured Domains
Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs
Natural Language Person Retrieval
A Mixture-Model for the Behaviour of SLS Algorithms for SAT
A Computational Model of the Cerebral Cortex
Ethical Dilemmas in Strategic Games
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
Toward Efficient Default Reasoning
A Region-Based Model for Estimating Urban Air Pollution
Cosine Model Watermarking against Ensemble Distillation
Polarization Guided Mask-Free Shadow Removal
Maintaining Diversity in Genetic Search
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
Explainable and Local Correction of Classification Models Using Decision Trees
Purely Epistemic Markov Decision Processes
GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving
Linearly Replaceable Filters for Deep Network Channel Pruning
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
Graph Convolutional Networks for Text Classification
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
Distributed Truth Maintenance
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)
On the Consistency of General Constraint-Satisfaction Problems
Learning with Augmented Class by Exploiting Unlabeled Data
DocParser: Hierarchical Document Structure Parsing from Renderings
Ranking Wily People Who Rank Each Other
VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion
Jointly Learning to Label Sentences and Tokens
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation
Conflict-Driven Constraint Answer Set Solving with Lazy Nogood Generation
Increasing VCG Revenue by Decreasing the Quality of Items
Recovering Causal Structures from Low-Order Conditional Independencies
UCSM-DNN: User and Card Style Modeling with Deep Neural Networks for Personalized Game AI
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)
SimSensei Demonstration: A Perceptive Virtual Human Interviewer for Healthcare Applications
A Unified Knowledge Transfer Network for Generalized Category Discovery
Extracting Viewpoints from Knowledge Bases
Attention-Based View Selection Networks for Light-Field Disparity Estimation
Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis
Optimal Graph Search with Iterated Graph Cuts
Selection of Passages for Information Reduction
Geographic Differential Privacy for Mobile Crowd Coverage Maximization
Learning Personalized Decision Support Policies
Two Knowledge-based Methods for High-Performance Sense Distribution Learning
Federated Assemblies
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests
Out-of-Distribution Detection with Prototypical Outlier Proxy
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network
Perceptual Significance Hierarchy: A Computer Vision Theory for Color Separation
Using Lookaheads with Optimal Best-First Search
Scalable Verification of Quantized Neural Networks
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning
Building Dialogue Structure from Discourse Tree of a Question
Robotic Framework for Music-Based Emotional and Social Engagement with Children with Autism
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
Learning Across Scales - Multiscale Methods for Convolution Neural Networks
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
Dynamic Bayesian Probabilistic Matrix Factorization
Enabling Intelligence through Middleware, Papers from the 2010 AAAI Robot Workshop, Atlanta, Georgia, USA, July 12, 2010
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
Conformalized Interval Arithmetic with Symmetric Calibration
Goal-Conditioned Q-learning as Knowledge Distillation
Multi-View Dynamic Reflection Prior for Video Glass Surface Detection
Correcting Predictions for Approximate Bayesian Inference
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
A Situation-Calculus Semantics for an Expressive Fragment of PDDL
Approximately Revenue-Maximizing Auctions for Deliberative Agents
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Temporal Vaccination Games under Resource Constraints
Multimodal Structure-Consistent Image-to-Image Translation
Double-Bit Quantization for Hashing
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning
Agent Modeling Methods Using Limited Rationality
Lifelong Learning with a Changing Action Set
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
Neighborhood Interchangeability and Dynamic Bundling for Non-Binary Finite CSPs
Bandit-Based Solar Panel Control
Towards Automatic Learning of Procedures From Web Instructional Videos
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning
Structurally Restricted Fragments of Numeric Planning - a Complexity Analysis
Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint
A Tool to Graphically Edit CP-Nets
An Exact Penalty Method for Binary Optimization Based on MPEC Formulation
Rounded Dynamic Programming for Tree-Structured Stochastic Network Design
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Massively Parallel A* Search on a GPU
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
Search More, Disclose Less
Action-Space Partitioning for Planning
Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks
Plan2Dance: Planning Based Choreographing from Music
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
Predicting Forest Fire Using Remote Sensing Data And Machine Learning
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract)
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning