yusuke1997/dblp-id-title huggingface dataset:
Intention = Choice + Commitment
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
Exploiting Phase Transition in Latent Networks for Clustering
Visuo-Spatial Ability, Effort and Affordance Analyses: Towards Building Blocks for Robot's Complex Socio-Cognitive Behaviors
Structural Entropy Guided Probabilistic Coding
Probabilistic Inference for Predicate Constraint Satisfaction
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
Biomind ArrayGenius and GeneGenius: Web Services Offering Microarray and SNP Data Analysis via Novel Machine Learning Methods
An Adversarial Framework for Generating Unseen Images by Activation Maximization
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
A Coverage-Based Utility Model for Identifying Unknown Unknowns
Computing Reserve Prices and Identifying the Value Distribution in Real-world Auctions with Market Disruptions
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Adaptive Pattern-Oriented Chess
Graph Based Translation Memory for Neural Machine Translation
Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
Integrating Symbolic Reasoning into Neural Generative Models for Design Generation
Rapid Development of a High Performance Knowledge Base for Course of Action Critiquing
MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models
An Analogy Ontology for Integrating Analogical Processing and First-Principles Reasoning
Transferable Attention for Domain Adaptation
Cakewalk Sampling
A Computational Cognitive Model of Mirroring Processes: A Position Statement
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
Concurrent Action Execution with Shared Fluents
Toward Robust Uncertainty Estimation with Random Activation Functions
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift
Coordinating Agile Systems through the Model-based Execution of Temporal Plans
An Approximate Skolem Function Counter
Orthogonality-Promoting Dictionary Learning via Bayesian Inference
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
A Novel Method for Mining Semantics from Patterns over ECG Data
Temporal Knowledge Graph Completion Using Box Embeddings
Bridging the Gap Between Computational Narrative and Natural Language Processing
Decomposing Constraint Networks for Calculating c-Representations
Go Wider Instead of Deeper
Coordinating Agents by Role Based Social Constraints and Conversation Plans
Meta Label Correction for Noisy Label Learning
Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains
Interactive Visual Task Learning for Robots
Characterizing the Program Expressive Power of Existential Rule Languages
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Participation Incentives in Approval-Based Committee Elections
Variable-Deletion Backdoors to Planning
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
Deep Semantic Structural Constraints for Zero-Shot Learning
Estimating Uncertainty Online Against an Adversary
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
KGDet: Keypoint-Guided Fashion Detection
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning
Few-Shot Neural Radiance Fields under Unconstrained Illumination
Deep Hashing Network for Efficient Similarity Retrieval
Projection-free Online Learning over Strongly Convex Sets
Declarative Probabilistic Programming for Undirected Graphical Models: Open Up to Scale Up
Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs
FaceMe: Robust Blind Face Restoration with Personal Identification
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
EL: A Formal, Yet Natural, Comprehensive Knowledge Representation
An Analysis of Knowledge Collected from Volunteer Contributors
Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
Trip Router with Individualized Preferences (TRIP): Incorporating Personalization into Route Planning
Online Task Assignment Problems with Reusable Resources
Rethinking Robustness of Model Attributions
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
Verifying Properties of Binarized Deep Neural Networks
A Novel Single-DBN Generative Model for Optimizing POMDP Controllers by Probabilistic Inference
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
Adapted Weighted Aggregation in Federated Learning
Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces
Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement
OVL: One-View Learning for Human Retrieval
Joint Semantic-geometric Learning for Polygonal Building Segmentation
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Transformer-Based Language Model Fine-Tuning Methods for COVID-19 Fake News Detection
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems
DeformRS: Certifying Input Deformations with Randomized Smoothing
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Generating Interactive Worlds with Text
Machine-Learning-Based Functional Microcirculation Analysis
A Particle Swarm Based Algorithm for Functional Distributed Constraint Optimization Problems
Imbalance-Aware Uplift Modeling for Observational Data
Properties of Bayesian Dirichlet Scores to Learn Bayesian Network Structures
Maximum Margin Dirichlet Process Mixtures for Clustering
Object-Guided Instance Segmentation for Biological Images
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset
GIST: Gear Type Identification by Spatiotemporal Trajectory Transformation for Monitoring Fisheries
Implicit Modeling of Non-rigid Objects with Cross-Category Signals
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract)
A Novel Transition Based Encoding Scheme for Planning as Satisfiability
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions
An Implementation of the Combinatorial Auction Problem in ECL i PS e
Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics
Automatic Attribution of Quoted Speech in Literary Narrative
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Personalized Learning in Action: Exploring AI and Robotics for Early Childhood Education
Distributed Interactive Learning in Multi-Agent Systems
GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective
Learning Cluster-Wise Anchors for Multi-View Clustering
Potential-based Shaping in Model-based Reinforcement Learning
Towards A Multi-Tiered Knowledge-Based System for Autonomous Cloud Security Auditing
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint)
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Abstract of the Forest Management Advisory Systems
BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning
VSQL: Variational Shadow Quantum Learning for Classification
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
On Compiling System Models for Faster and More Scalable Diagnosis
Adding New Clauses for Faster Local Search
A Spin-Glass Model for Semi-Supervised Community Detection
Reinforcing an Image Caption Generator Using Off-Line Human Feedback
CompareLDA: A Topic Model for Document Comparison
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Reconstructing the Stochastic Evolution Diagram of Dynamic Complex Systems
BAND: Biomedical Alert News Dataset
Reasonableness Monitors
Augmenting Markov Decision Processes with Advising
Argument Mining for Improving the Automated Scoring of Persuasive Essays
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration
Structure Flow-Guided Network for Real Depth Super-resolution
Coalition Manipulation of Gale-Shapley Algorithm
Estimating the Expected Error of Empirical Minimizers for Model Selection
Unifying Vision-Language Representation Space with Single-Tower Transformer
Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
Towards a Qualitative Lagrangian Theory of Fluid Flow
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Goal Recognition Design with Non-Observable Actions
Multi-Focus Attention Network for Efficient Deep Reinforcement Learning
Global Seismic Monitoring: A Bayesian Approach
GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
A Proven Domain-Independent Scientific Function-Finding Algorithm
Product Grassmann Manifold Representation and Its LRR Models
Baby Gym For Robots: A New Platform For Testing Developmental Learning Algorithms
Collusion Detection in Online Bridge
Lifted Hinge-Loss Markov Random Fields
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory
eMediator: a Next Generation Electronic Commerce Server
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Learning Equilibrium in Resource Selection Games
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
Deep Graph Clustering via Dual Correlation Reduction
Revisiting Dominance Pruning in Decoupled Search
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation
Deep Learning with S-Shaped Rectified Linear Activation Units
Online Social Spammer Detection
Understanding Actors and Evaluating Personae with Gaussian Embeddings
Collaboration Based Multi-Label Learning
Towards Task Recommendation in Micro-Task Markets
Multidimensional Uncertainty-Aware Evidential Neural Networks
Categorical Disambiguation
Semi-Supervised Streaming Learning with Emerging New Labels
Integrating Clustering and Classification for Estimating Process Variables in Materials Science
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing
A Scalable and Extensible Framework for Superposition-Structured Models
A Local Sparse Model for Matching Problem
TextToHBM: A Generalised Approach to Learning Models of Human Behaviour for Activity Recognition from Textual Instructions
Conditional Inference under Disjunctive Rationality
On Computing Optimal Strategies in Open List Proportional Representation: The Two Parties Case
AdaDiff: Adaptive Step Selection for Fast Diffusion Models
Scene Graph to Image Synthesis via Knowledge Consensus
A Speech-Driven Second Screen Application for TV Program Discovery
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset
Data-Efficient Generalization of Robot Skills with Contextual Policy Search
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Cross-Language Learning for Program Classification Using Bilateral Tree-Based Convolutional Neural Networks
Learning Incremental Triplet Margin for Person Re-Identification
UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss
CrowdSight: Rapidly Prototyping Intelligent Visual Processing Apps
Towards Human-like Learning from Relational Structured Data
Basing Decisions on Sentences in Decision Diagrams
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge
Properties of Position Matrices and Their Elections
Constrained Pure Nash Equilibria in Polymatrix Games
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
Statistical Relational Artificial Intelligence, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 12, 2010
Combining Experts' Causal Judgments
Pairwise-Covariance Linear Discriminant Analysis
Enhancing Affective Communication in Embodied Conversational Agents
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
SMT-Based Validation of Timed Failure Propagation Graphs
Massivley Parallel AI
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
Dealing with Trouble: A Data-Driven Model of a Repair Type for a Conversational Agent
Exploiting Graph Properties of Game Trees
Inconsistency Management for Traffic Regulations
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
Planning as an Iterative Process
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
RGBD Based Gaze Estimation via Multi-Task CNN
The Automated Mapping of Plans for Plan Recognition
The Complexity of Model Checking for Belief Revision and Update
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
From Semantic to Emotional Space in Probabilistic Sense Sentiment Analysis
Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role
DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos
Learn More for Food Recognition via Progressive Self-Distillation
LLMEval: A Preliminary Study on How to Evaluate Large Language Models
Cycle3D: High-quality and Consistent Image-to-3D Generation via Generation-Reconstruction Cycle
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
Spatial Reasoning in Indeterminate Worlds
Chaining Value Functions for Off-Policy Learning
(When) Is Truth-telling Favored in AI Debate?
Extensible Automated Constraint Modelling
Deep Salience: Visual Salience Modeling via Deep Belief Propagation
Robust and Fast Measure of Information via Low-Rank Representation
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation
Affect Processing for Narratives
Generalization Heuristics for Theorems Related to Recursively Defined Functions
Analyzing the Effectiveness of Adversary Modeling in Security Games
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps
The Power of Literal Equivalence in Model Counting
Toward Robust Long Range Policy Transfer
Role of Human-AI Interaction in Selective Prediction
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Complementing the Execution of AI Systems with Human Computation
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation
Efficient Counterfactual Learning from Bandit Feedback
Compare and Contrast: A Test of Expertise
MDFL: Multi-Domain Diffusion-Driven Feature Learning
Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources
Multilevel Language and Vision Integration for Text-to-Clip Retrieval
Source Information Disclosure in Ontology-Based Data Integration
The Sample Complexity of Teaching by Reinforcement on Q-Learning
Distribution-Consistency-Guided Multi-modal Hashing
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
Proportionally Representative Participatory Budgeting with Ordinal Preferences
Argumentation for Explainable Scheduling
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark
Better Peer Grading through Bayesian Inference
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement
Approximate Equilibrium and Incentivizing Social Coordination
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers
Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval
Feature Selection in SVM Text Categorization
On the Logic of Theory Base Change: Reformulation of Belief Bases
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation
Leveraging Language into Learning
Selective Deep Autoencoder for Unsupervised Feature Selection
When Do Program-of-Thought Works for Reasoning?
R2PG: Risk-Sensitive and Reliable Policy Gradient
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
Diffusion Model Patching via Mixture-of-Prompts
Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification
Relaxed Rotational Equivariance via G-Biases in Vision
Image Content Generation with Causal Reasoning
Maximizing Signal in Human-Model Preference Alignment
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
Unsupervised Opinion Summarization with Content Planning
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs
One-Shot Learning for Long-Tail Visual Relation Detection
Curve-Structure Segmentation From Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects
Agent Capabilities: Extending BDI Theory
Checking Chase Termination over Ontologies of Existential Rules with Equality
Multi-View Actionable Patterns for Managing Traffic Bottleneck
Layout Representation Learning with Spatial and Structural Hierarchies
Discovery News: A Generic Framework for Financial News Recommendation
Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise
Why Perspective Is Difficult: How Two Algorithms Fail
Meta-Learning for Online Update of Recommender Systems
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Multiple Feature Refining Network for Visual Emotion Distribution Learning
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization
The Roles of Adaptation in Case-Based Design
Using Remote Sensing Imagery and Machine Learning to Predict Poaching in Wildlife Conservation Parks
Branching and Pruning: An Optimal Temporal POCL Planner Based on Constraint Programming
Language Modeling for Soft Keyboards
Intelligent Agents for Coalition Search and Rescue Task Support
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking
Approximation Algorithms and Mechanism Design for Minimax Approval Voting
Discovering Latent Strategies
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis
Bayesian Optimization over Permutation Spaces
Can We Work around Numerical Methods? An Insight
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Preparing Lessons for Progressive Training on Language Models
Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation
Active Perception for Cyber Intrusion Detection and Defense
A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures
Obvious Properties of Computer Programs
Modelling Class Noise with Symmetric and Asymmetric Distributions
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
One-Network Adversarial Fairness
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks
Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks
Food Information Engineering: A Systematic Literature Review
Fixing a Tournament
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models
Mutual Understanding in Human-Machine Teaming
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
The Interface between P and NP: COL, XOR, NAE, 1-in-k, and Horn SAT
Max-Margin Contrastive Learning
Modeling Topic-Level Academic Influence in Scientific Literatures
Planning for Stream Processing Systems
Discovering Constraints for Inductive Process Modeling
NLIP: Noise-Robust Language-Image Pre-training
Voting with Rank Dependent Scoring Rules
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
Leveraging Sub-class Discimination for Compositional Zero-Shot Learning
Enhancing Close-up Novel View Synthesis via Pseudo-labeling
1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations
Label Noise Correction via Fuzzy Learning Machine
A Meta-Learning Approach for Custom Model Training
Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning