yusuke1997/dblp-id-title huggingface dataset:
Probabilistic Alternating-Time µ -Calculus
PoA of Simple Auctions with Interdependent Values
Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract)
Llull and Copeland Voting Broadly Resist Bribery and Control
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation
Retweet Behavior Prediction Using Hierarchical Dirichlet Process
Learning Integrated Symbolic and Continuous Action Models for Continuous Domains
Diagnosing Delivery Problems in the White House Information Distribution System
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
Auto-Exploratory Average Reward Reinforcement Learning
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
Axiom Schemata as Metalevel Axioms: Model Theory
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
Measuring Error Alignment for Decision-Making Systems
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis
Using Reasoning Patterns to Simplify Games
Can a System Be Intelligent if It Never Gives a Damn?
A Dynamic Rationalization of Distance Rationalizability
Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations
A Production Rule System for Message Summarization
A Symbolic Generalization of Probability Theory
OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion
UniADS: Universal Architecture-Distiller Search for Distillation Gap
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Potential-Aware Automated Abstraction of Sequential Games, and Holistic Equilibrium Analysis of Texas Hold'em Poker
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
Dynamic Improvements of Heuristic Evaluations during Search
Multi-Variable Agents Decomposition for DCOPs
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles
Fairness-aware News Recommendation with Decomposed Adversarial Learning
Identifying Early Warning Signals from News Using Network Community Detection
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption
Interaction-Aware Factorization Machines for Recommender Systems
Multi-View Domain Adaptive Object Detection on Camera Networks
Learning Plackett-Luce Mixtures from Partial Preferences
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
Analogical Chaining with Natural Language Instruction for Commonsense Reasoning
Outlier Detection Ensemble with Embedded Feature Selection
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
Minimizing the Negative Side Effects of Planning with Reduced Models
Revisiting Semantics for Epistemic Extensions of Description Logics
Federated Multi-Armed Bandits
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Can We Find Strong Lottery Tickets in Generative Models?
Parameterized Complexity of Problems in Coalitional Resource Games
Combinatorial Auctions with Structured Item Graphs
Causal Explanation Under Indeterminism: A Sampling Approach
Toward a Better Understanding of Deep Neural Network Based Acoustic Modelling: An Empirical Investigation
"AlphAI": Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works
Building Trust in Deep Learning System towards Automated Disease Detection
Improved Text Classification via Contrastive Adversarial Training
Anisotropic Additive Quantization for Fast Inner Product Search
One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation
Discovering Heterogeneous Causal Effects in Relational Data
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
RSGNet: Relation based Skeleton Graph Network for Crowded Scenes Pose Estimation
Improving Policies via Search in Cooperative Partially Observable Games
Wasserstein Unsupervised Reinforcement Learning
Continuous Self-Attention Models with Neural ODE Networks
An Optimization Variant of Multi-Robot Path Planning Is Intractable
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble
Non-Exploitable Protocols for Repeated Cake Cutting
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
A Hybrid Global-Local Perception Network for Lane Detection
Flexible-Window Predictions on Electronic Health Records
On Convergence of Gradient Expected Sarsa(λ)
Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
Matchmaking to Support Intelligent Agents for Portfolio Management
A Vision-Based System for a UGV to Handle a Road Intersection
Principled Multilingual Grammars for Large Corpora
Learning Deep Relations to Promote Saliency Detection
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods
Lazy Arithmetic Circuits
Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective
Robust Training of Neural Networks against Bias Field Perturbations
Knowledge-driven Natural Language Understanding of English Text and its Applications
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Learning to Sing Like a Bird: The Self-Supervised Acquisition of Birdsong
From Horn-SRIQ to Datalog: A Data-Independent Transformation That Preserves Assertion Entailment
Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes
Solving the Really Hard Problems with Cooperative Search
Densest k-Subgraph Mining via a Provably Tight Relaxation
Camera-Aware Proxies for Unsupervised Person Re-Identification
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
The Economic Complexity Observatory: An Analytical Tool for Understanding the Dynamics of Economic Development
Scalable Planning and Learning for Multiagent POMDPs
FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction
An Analysis of Bayesian Classifiers
Adaptive Large Margin Training for Multilabel Classification
PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML
MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
Commitment Games with Conditional Information Disclosure
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers
Beyond ISA: Structures for Plausible Inference In Semantic Networks
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
Using Abstractions for Decision-Theoretic Planning with Time Constraints
Acting and Planning Using Operational Models
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries
A Cardinal Improvement to Pseudo-Boolean Solving
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract)
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
AI and Software Engineering: Will the Twain Ever Meet?
From the Programmer's Apprentice to Human-Robot Interaction: Thirty Years of Research on Human-Computer Collaboration
Group Testing on a Network
Axiomatization of Aggregates in Answer Set Programming
Regularity and Structure
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation
Lattice CNNs for Matching Based Chinese Question Answering
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models
Toward Ensuring Ethical Behavior from Autonomous Systems: A Case-Supported Principle-Based Paradigm
Temporal Graph Contrastive Learning for Sequential Recommendation
Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization
Conditional Logics of Belief Change
Optimal Decision Trees for Nonlinear Metrics
AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification
Applications of Rule-Base Coverage Measures to Expert System Evaluation
Evaluating Consistency Algorithms for Temporal Metric Constraints
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
Delving into the Adversarial Robustness of Federated Learning
Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum
Reasoning about Change in Knowledgeable Office Systems
Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media
An Analysis of Tutorial Reasoning about Programming Bugs
Actor Prioritized Experience Replay (Abstract Reprint)
Adversarial Turing Patterns from Cellular Automata
Session-Based Recommendation with Graph Neural Networks
Plan Recognition Strategies in Student Modeling: Prediction and Description
High Performance Memory-Based Translation on IXM2 Massively Parallel Associative Memory Processor
Data Clustering by Laplacian Regularized L1-Graph
Separators and Adjustment Sets in Markov Equivalent DAGs
Achieving Proportionality up to the Maximin Item with Indivisible Goods
Unsupervised Deep Learning via Affinity Diffusion
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Efficient Context-Free Grammar Constraints
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction
Learning to Rank Articles for Molecular Queries
Convex Formulations for Fair Principal Component Analysis
Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network
Abduction Framework for Repairing Incomplete EL Ontologies: Complexity Results and Algorithms
Knowledge-Based Policies for Qualitative Decentralized POMDPs
TreeCaps: Tree-Based Capsule Networks for Source Code Processing
Optimizing Human Pose Estimation Through Focused Human and Joint Regions
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
SlimShot: Probabilistic Inference for Web-Scale Knowledge Bases
Forced Exploration in Bandit Problems
TaskLAMA: Probing the Complex Task Understanding of Language Models
Mutual Belief Revision: Semantics and Computation
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data
Learning to Rank Effective Paraphrases from Query Logs for Community Question Answering
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
On the Expressiveness of Networks with Hidden Variables
Samuel Meets Amarel: Automating Value Function Approximation Using Global State Space Analysis
A Generative Model of Words and Relationships from Multiple Sources
Price of Pareto Optimality in Hedonic Games
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction
Description Logic-Ground Knowledge Integration and Management
Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition
Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace
An Efficient Way of Breaking Value Symmetries
When to Reset Your Keys: Optimal Timing of Security Updates via Learning
Bayesian Verb Sense Clustering
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery
Fractional Adaptive Linear Units
The Logic of Representing Dependencies by Directed Graphs
FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition
Multiclass Support Vector Machines for Articulatory Feature Classification
Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms
Automated Reasoning and Learning for Automated Payroll Management
Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
Static Analysis of Moving Jointed Objects
On Optimal Tradeoffs between EFX and Nash Welfare
Representation Learning for Aspect Category Detection in Online Reviews
PIES: An Engineers Do-lt-Yourself Knowledge System for Interpretation of Parametric Test Data
Causal Discovery by Interventions via Integer Programming
Acquiring Knowledge of Affective Events from Blogs Using Label Propagation
Towards Discovering What Patterns Trigger What Labels
Scalable Recollections for Continual Lifelong Learning
Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering
Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding
Generative Adversarial Networks for Video-to-Video Domain Adaptation
GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction
Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
MFOS: Model-Free & One-Shot Object Pose Estimation
Lifting Relational MAP-LPs Using Cluster Signatures
Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation
Diffusion-Based Active Learning for Distributed Client Manifolds
World Wide Web and Public Health Intelligence, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
Duplication of Coding Segments in Genetic Programming
Holistic Correction with Object Prototype for Video Object Segmentation
Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies
Transcribing Natural Languages for the Deaf via Neural Editing Programs
Exploring Topological Properties in Artificial Neural Networks
Regret-based Incremental Partial Revelation Mechanisms
Computational Aspects of Covering in Dominance Graphs
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing
Online Collective Entity Resolution
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning
Exploring Power Storage Profiles for Vehicle to Grid Systems
Document Type Classification in Online Digital Libraries
Learning to Uncover Deep Musical Structure
DZAD: Diffusion-based Zero-shot Anomaly Detection
Derivational Analogy and Its Role in Problem Solving
Adding Affective Argumentation to the GenIE Assistant
Auditing and Enforcing Conditional Fairness via Optimal Transport
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes
MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer
Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
Federated Recommendation with Explicitly Encoding Item Bias
A New Supervised Learning Algorithm for Word Sense Disambiguation
Automated Problem List Generation from Electronic Medical Records in IBM Watson
Learning to Prompt with Text Only Supervision for Vision-Language Models
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
Limitations of Front-To-End Bidirectional Heuristic Search
Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning
ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
Learning from Goal Interactions in Planning: Goal Stack Analysis and Generalization
Mining Opinion Features in Customer Reviews
Defining and Using Ideal Teammate and Opponent Agent Models
Structural Deep Embedding for Hyper-Networks
ApproxASP - a Scalable Approximate Answer Set Counter
Learning to Coordinate Behaviors
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models
Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning
icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract)
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
Distinguish Polarity in Bag-of-Words Visualization
Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text
A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs
A Kernel Density Estimate-Based Approach to Component Goodness Modeling
Benchmarking Multi-Modal Entailment for Fact Verification (short paper)
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
On a Competitive Secretary Problem
Iterative-Refinement for Action Timing Discretization
Asymmetric Deep Supervised Hashing
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
Conditional Generative Neural Decoding with Structured CNN Feature Prediction
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack
Empirical Game-Theoretic Methods for Strategy Design and Analysis in Complex Games
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
On Learning Causal Models from Relational Data
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
Collaborative Group Learning
Q-Intersection Algorithms for Constraint-Based Robust Parameter Estimation
A Statistical Approach to Solving the EBL Utility Problem
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
Information Retrieval from Never-Ending Stories
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
Improving Neural Question Generation Using Answer Separation
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Recover Missing Sensor Data with Iterative Imputing Network
Frame Skip Is a Powerful Parameter for Learning to Play Atari
LS-Tree: Model Interpretation When the Data Are Linguistic
MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds
Exploring the Benefits of Depth Information in Object Pixel Masking (Student Abstract)
Dimension-Free Error Bounds from Random Projections
On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games
Learning Transformation Rules by Examples
PNVC: Towards Practical INR-based Video Compression
Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph
SADIH: Semantic-Aware DIscrete Hashing
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding
Using Spatial Language in Multi-Modal Knowledge Capture
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
Sliding Window Temporal Graph Coloring
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making
Planning to Gather Information
Dialog State Tracking with Reinforced Data Augmentation
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
Learning About Software Errors Via Systematic Experimentation
NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques
Formal Logic Enabled Personalized Federated Learning through Property Inference
A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data
CatFormer: Category-Level 6D Object Pose Estimation with Transformer
Sensible Planning: Focusing Perceptual Attention
A New Basis for Spreadsheet Computing: Interval Solver for Microsoft Excel
Computing Contingent Plans via Fully Observable Non-Deterministic Planning
Reconsidering Deception in Social Robotics: The Role of Human Vulnerability (Student Abstract)
A Skeptical Theory of Inheritance in Nonmonotonic Semantic Networks
Graph Neural Prompting with Large Language Models
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search
Spurious Symptom Reduction in Fault Monitoring Using a Neural Network and Knowledge Base Hybrid System
Mixed Fair Division: A Survey
From Zero-Shot Learning to Cold-Start Recommendation
Breaking Value Symmetry
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation
Verifying Robustness of Gradient Boosted Models