yusuke1997/dblp-id-title huggingface dataset:
Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting
Predicting Concrete and Abstract Entities in Modern Poetry
HyperJump: Accelerating HyperBand via Risk Modelling
Envisioning the Next-Gen Document Reader
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
Accent and Discourse Context: Assigning Pitch Accent in Synthetic Speech
Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing
Geometric Variance Reduction in Markov Chains. Application to Value Function and Gradient Estimation
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
From Continual Learning to Causal Discovery in Robotics
An Efficient Algorithm for Deep Stochastic Contextual Bandits
SS-GEN: A Social Story Generation Framework with Large Language Models
Molecular Contrastive Learning with Chemical Element Knowledge Graph
Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation
Few-Shot Object Detection via Variational Feature Aggregation
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer
Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images
Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process
Knowledge-Based Simulation
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
VIDM: Video Implicit Diffusion Models
STATIC: A Problem-Space Compiler for PRODIGY
Strategyproofness and Proportionality in Party-Approval Multiwinner Elections
Global Explanations for Image Classifiers (Student Abstract)
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
Inductive Learning in Probabilistic Domain
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables
ProtGNN: Towards Self-Explaining Graph Neural Networks
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation
Privacy Attacks on Schedule-Driven Data
Happy Together: Learning and Understanding Appraisal From Natural Language
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction
ADROIT: Automatic Discourse Relation Organizer of Internet-based Text
Nearly Deterministic Abstractions of Markov Decision Processes
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
The Emergence of Spacecraft Autonomy
Ranking and Rating Rankings and Ratings
Cycle-CNN for Colorization towards Real Monochrome-Color Camera Systems
Surveyor: A System for Generating Coherent Survey Articles for Scientific Topics
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes
Model-Based Diagnosis with Uncertain Observations
Learning Combinatory Categorial Grammars for Plan Recognition
Capacity Control of ReLU Neural Networks by Basis-Path Norm
A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
Strategic Coalitions With Perfect Recall
Precision-Recall versus Accuracy and the Role of Large Data Sets
Manipulating the Quota in Weighted Voting Games
An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract)
Shortest Path Discovery Problems: A Framework, Algorithms and Experimental Results
Hear You Say You: An Efficient Framework for Marine Mammal Sounds' Classification
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
Clustering Small Samples With Quality Guarantees: Adaptivity With One2all PPS
Compilability of Abduction
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
Privacy-Preserving Gaussian Process Regression - A Modular Approach to the Application of Homomorphic Encryption
Reading Scene Text in Deep Convolutional Sequences
Control Knowledge in Planning: Benefits and Tradeoffs
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Is "Early Commitment" in Plan Generation Ever a Good Idea?
Mining Query Subtopics from Questions in Community Question Answering
Further Investigations into Regular XORSAT
Robust Network Design For Multispecies Conservation
On Paraconsistent Belief Revision in LP
Optimizations and Extensions for the Horn Transaction Logic Programs
Direct Discriminative Bag Mapping for Multi-Instance Learning
Five Parallel Algorithms for Production System Execution on the DADO Machine
Dual Semi-Supervised Learning for Facial Action Unit Recognition
Random Gradient Descent Tree: A Combinatorial Approach for SVM with Outliers
Token-Aware Virtual Adversarial Training in Natural Language Understanding
BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining
Fast Context Switching in Real-Time Propositional Reasoning
Effective Redundant Constraints for Online Scheduling
A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer
Recovery Planning for Ambiguous Cases in Perceptual Anchoring
BAGGER: An EBL System that Extends and Generalizes Explanations
Contrastive Unsupervised Word Alignment with Non-Local Features
VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
NOTES2: Networks-of-Traces for Epidemic Spread Simulations
Noisy Label Calibration for Multi-View Classification
I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior
Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization
Efficient Optimal Transport Algorithm by Accelerated Gradient Descent
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining
An Overview of the Penman Text Generation System
FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing
World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
A Hidden Markov Model Approach to Infer Timescales for High-Resolution Climate Archives
Finding Visual Saliency in Continuous Spike Stream
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
FgER: Fine-Grained Entity Recognition
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting
Mobile Service for Reputation Extraction from Weblogs - Public Experiment and Evaluation
Planning and Goal Interaction: The Use of Past Solutions in Present Situations
Learning Abstraction Hierarchies for Problem Solving
Path-Focused Duplication: A Search Procedure for General Matings
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising
Relevance-Promoting Language Model for Short-Text Conversation
Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
GTG: Generalizable Trajectory Generation Model for Urban Mobility
Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction
Sensible Agents: Demonstration of Dynamic Configuration of Agent Organizations for Responsive Planning Operations
Multi-Agent Incentive Communication via Decentralized Teammate Modeling
Qualitative Landmark-based Path Planning and Following
Comparing Reward Shaping, Visual Hints, and Curriculum Learning
Projective Visualization: Acting from Experience
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract)
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)
Time-Varying Clusters in Large-Scale Flow Cytometry
A Feature-Based Learning Method for Theorem Proving
Reasoning over Streaming Data in Metric Temporal Datalog
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint)
ARTY: Fueling Creativity through Art, Robotics and Technology for Youth
Rules for Choosing Societal Tradeoffs
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
SenseRelate: : TargetWord-A Generalized Framework for Word Sense Disambiguation
Improving Efficiency of Volunteer-Based Food Rescue Operations
Parallel Vertex Diffusion for Unified Visual Grounding
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
Task-Specific Representation Learning for Web-Scale Entity Disambiguation
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning
The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation
The Virtual Solar-Terrestrial Observatory: A Deployed Semantic Web Application Case Study for Scientific Research
Piecewise Linear Value Function Approximation for Factored MDPs
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns
Regular Boardgames
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
Equilibria of Online Scheduling Algorithms
Toward Affective Cognitive Robots for Human-Robot Interaction
Eigenvalues Ratio for Kernel Selection of Kernel Methods
Fine-Grained Entity Typing for Domain Independent Entity Linking
A Constraint-Based Model for Cooperative Response Generation in Information Dialogues
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract)
AI for Smart Grids and Smart Buildings, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents
Safe Distillation Box
Position Estimation for Mobile Robots in Dynamic Environments
Redundancy in Random SAT Formulas
Event Shape Diagrams
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning
Non-excludable Bilateral Trade between Groups
LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction
CaBMA: Case-Based Project Management Assistant
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Learning to Truncate Ranked Lists for Information Retrieval
Multiagent Interaction without Prior Coordination, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
Constrained Decision Revision
Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing
Offline Quantum Reinforcement Learning in a Conservative Manner
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning
Flow Factorization for Efficient Generative Flow Networks
Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
A Cooperative Multi-Robot Approach to the Mapping and Exploration of Mars
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems
Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
Decentralized Mean Field Games
Frozen Pretrained Transformers as Universal Computation Engines
Partial Label Learning with Self-Guided Retraining
Collective Deep Quantization for Efficient Cross-Modal Retrieval
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
What's Hot in Evolutionary Computation
Reconstruction of 3D Models from Intensity Images and Partial Depth
Incremental Least-Squares Temporal Difference Learning
Why Do We Need a Body Anyway?
Fair Division with a Secretive Agent
A Generalized Neural Diffusion Framework on Graphs
Distant Domain Transfer Learning
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images
Complete Closed Time Intervals-Related Patterns Mining
How to Combine Tree-Search Methods in Reinforcement Learning
Heuristic Search in Dual Space for Constrained Fixed-Horizon POMDPs with Durative Actions
VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract)
Data Roaming and Quality Assessment for Composed Image Retrieval
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint)
Learning to Generalize: Meta-Learning for Domain Generalization
Generating 'Random' 3-SAT Instances with Specific Solution Space Structure
Neural Utility Functions
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving
Large Scale Similarity Learning Using Similar Pairs for Person Verification
Strategic Sales Management in an Autonomous Trading Agent for TAC SCM
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
Conjunctive Representations in Contingent Planning: Prime Implicates Versus Minimal CNF Formula
DecAug: Augmenting HOI Detection via Decomposition
MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition
ILP-Based Reasoning for Weighted Abduction
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity
IRobot: Teaching the Basics of Artificial Intelligence in High Schools
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series
Game Implementation: What Are the Obstructions?
Understanding Social Interpersonal Interaction via Synchronization Templates of Facial Events
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning
Image Caption with Global-Local Attention
Multiple Kernel k-Means with Incomplete Kernels
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
Submodular Asymmetric Feature Selection in Cascade Object Detection
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images
Truthful Mechanisms for Steiner Tree Problems
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Uncertainty Propagation in Long-Term Structured Regression on Evolving Networks
The Techies vs. the Non-techies: Today's Two Cultures
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery
ElGolog: A High-Level Programming Language with Memory of the Execution History
Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment
Achieving Agent Coordination via Distributed Preferences
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
Why PRODIGY/EBL Works
Safeguarded Learned Convex Optimization
Adapting ADtrees for High Arity Features
CoLink: An Unsupervised Framework for User Identity Linkage
An Automated Explainable Educational Assessment System Built on LLMs
Matching Node Embeddings for Graph Similarity
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution
Simple Temporal Problems with Taboo Regions
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
PointINet: Point Cloud Frame Interpolation Network
Learning Topology-Specific Experts for Molecular Property Prediction
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Revisiting Unsupervised Local Descriptor Learning
Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case
Domain Adaptive Unfolded Graph Neural Networks
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
Generative Decision Making Under Uncertainty
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach
Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction
Online Search with Best-Price and Query-Based Predictions
GridFormer: Point-Grid Transformer for Surface Reconstruction
Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data
Supporting and Optimizing Full Unification in a Forward Chaining Rule System
A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning
Fast Training of Provably Robust Neural Networks by SingleProp
Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition
Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering
An Interactive Computer-Based Tutor for LISP
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation
Robust Nonparametric Regression under Poisoning Attack
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
Learning to Interpret Natural Language Navigation Instructions from Observations
Markov Games of Incomplete Information for Multi-Agent Reinforcement Learning
Learning from Textbook Knowledge: A Case Study
Residual Encoder Decoder Network and Adaptive Prior for Face Parsing
Automatic Radiology Reports Generation via Memory Alignment Network
Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs)
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
On the Power of Strategic Corpus Enrichment in Content Creation Games
Inconsistency-Based Data-Centric Active Open-Set Annotation
Online-Updated High-Order Collaborative Networks for Single Image Deraining
Residual Hyperbolic Graph Convolution Networks
Knowledge-Enhanced Historical Document Segmentation and Recognition
Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020
Conditional Linear Regression
OMPQ: Orthogonal Mixed Precision Quantization
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)
Relational Reinforcement Learning in Infinite Mario
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal
Double-Bounded Optimal Transport for Advanced Clustering and Classification
Reasoning as Remembering: The Theory and Practice of CBR
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool
Rational Verification: From Model Checking to Equilibrium Checking
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
On the Recognition of Abstract Markov Policies
Non-Minimax Search Strategies for Use Against Fallible Opponents
Plan Recognition in Continuous Domains
Interactive Video Object Mask Annotation
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension
Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition
ProjE: Embedding Projection for Knowledge Graph Completion
Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment
Multi-Stage Facility Location Problems with Transient Agents
An Intelligent System for Chinese Calligraphy
Information Design for Congestion Games with Unknown Demand
Restricted Monotonicity
Predicting Online Protest Participation of Social Media Users
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
Lifting Relational MAP-LPs using Cluster Signatures
Comparing Agents' Success against People in Security Domains
CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion
Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
Generalization in Portfolio-Based Algorithm Selection
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Learning to See the Physical World
Scratch for Sports: Athletic Drills as a Platform for Experiencing, Understanding, and Developing AI-Driven Apps
Enabling Knowledge Refinement upon New Concepts in Abductive Learning
Integrating Transfer Learning in Synthetic Student
SOML: Sparse Online Metric Learning with Application to Image Retrieval
Extending the Modelling Capacity of Gaussian Conditional Random Fields while Learning Faster
Can Students Beyond the Teacher? Distilling Knowledge from Teacher's Bias
Offline Evaluation of Online Reinforcement Learning Algorithms
A Taxonomic System for Failure Cause Analysis of Open Source AI Incidents
Reading With Robots: Towards a Human-Robot Book Discussion System for Elderly Adults
Computational Models of Natural Argument, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7, 2011
Extending EBG to Term-Rewriting Systems
Overlapping Coalition Formation for Efficient Data Fusion in Multi-Sensor Networks
Localized Representation and Planning Methods for Parallel Domains
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
On the Expressiveness of Rule-based Systems for Reasoning with Uncertainty
A General-Equilibrium Approach to Distributed Transportation Planning
Learning the Optimal Recommendation from Explorative Users
On Evaluating Adversarial Robustness of Chest X-ray Classification