yusuke1997/dblp-id-title huggingface dataset:
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack
Deploying CommunityCommands: A Software Command Recommender System Case Study
A Simple Framework for Cognitive Planning
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation
Transcoded Video Restoration by Temporal Spatial Auxiliary Network
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
Random Tensor Theory for Tensor Decomposition
Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment
Language and Memory: Generalization as a Part of Understanding
Expressive Forecasting of 3D Whole-Body Human Motions
The Hidden Permutation Model and Location-Based Activity Recognition
Model-Based Offline Weighted Policy Optimization (Student Abstract)
Believe Me - We Can Do This! Annotating Persuasive Acts in Blog Text
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation
Self-Supervised Object Localization with Joint Graph Partition
Direct Transfer of Learned Information Among Neural Networks
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning
Target-Free Text-Guided Image Manipulation
Interactive Information Retrieval Systems with Minimalist Representation
Backbones and Backdoors in Satisfiability
SDGNN: Learning Node Representation for Signed Directed Networks
Robust Contextual Bandits via Bootstrapping
HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets
Bayesian Persuasion in Sequential Decision-Making
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
Boosting Few-Shot Text Classification via Distribution Estimation
Characterizing Structural Hardness of Logic Programs: What Makes Cycles and Reachability Hard for Treewidth?
Reasoning about Discontinuous Change
Acronym Extraction with Hybrid Strategies
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment
A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion
Algorithms for Average Regret Minimization
Communication Efficient Distributed Newton Method over Unreliable Networks
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism
Catoms: Moving Robots Without Moving Parts
Learning Weighted Model Integration Distributions
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
Estimation of Suitable Action to Realize Given Novel Effect with Given Tool Using Bayesian Tool Affordances
Collective Nominal Semantic Role Labeling for Tweets
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning
SAT Modulo Monotonic Theories
The Level Weighted Structural Similarity Loss: A Step Away from MSE
Appearance and Motion Enhancement for Video-Based Person Re-Identification
Warfighter's Information Packager
Accelerated Variance Reduced Stochastic ADMM
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
Coupon Design in Advertising Systems
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
How to Cut a Cake Before the Party Ends
IOHunter: Graph Foundation Model to Uncover Online Information Operations
SPASCA: Social Presence and Support with Conversational Agent for Persons Living with Dementia
Convolutional Neural Networks over Tree Structures for Programming Language Processing
Hypergraph Learning With Cost Interval Optimization
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
Diffusing Gaussian Mixtures for Generating Categorical Data
Monte Carlo Localization with Mixture Proposal Distribution
A Theory of Non-acyclic Generative Flow Networks
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
Using Prior Knowledge: Problems and Solutions
Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning
An Analysis of Engineering Students' Responses to an AI Ethics Scenario
Manipulative Elicitation - A New Attack on Elections with Incomplete Preferences
Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection
Automating Collusion Detection in Sequential Games
Iterative Voting under Uncertainty for Group Recommender Systems (Research Abstract)
The Multi-Agent Transportation Problem
Competence Driven Case-Base Mining
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Efficient Learning of Timeseries Shapelets
Rule Based Strategies for Image Interpretation
Reinforcement Learning with Trajectory Feedback
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
A Multi-Resolution Pyramid for Outdoor Robot Terrain Perception
Information Elicitation Mechanisms for Statistical Estimation
Optimized Potential Initialization for Low-Latency Spiking Neural Networks
What Your Computer Really Needs to Know, You Learned in Kindergarten
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation
On Improving Conformant Planners by Analyzing Domain-Structures
Online and Stochastic Learning with a Human Cognitive Bias
Block-Skim: Efficient Question Answering for Transformer
Memory-Augmented Monte Carlo Tree Search
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks
Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling
Undercover Boolean Matrix Factorization with MaxSAT
Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback
ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection
Riemannian Geometric-based Meta Learning
Moral Machine or Tyranny of the Majority?
IMQC: A Large Language Model Platform for Medical Quality Control
Improved Bounds for Online Facility Location with Predictions
Determining Relative Airport Threats from News and Social Media
Graph Bayesian Optimization for Multiplex Influence Maximization
PDDL+ Planning with Temporal Pattern Databases
Using Natural Language Processing for Documentation Assist
CATMS: An ATMS Which Avoids Label Explosions
Data-to-Text Generation with Content Selection and Planning
Adaptive Manipulation for Coalitions in Knockout Tournaments
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types
An Algorithm for Probabilistic Least-Commitment Planning
Learning Safe Numeric Action Models
Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
Unfooling Perturbation-Based Post Hoc Explainers
Structured Output Prediction for Semantic Perception in Autonomous Vehicles
On the NP-Hardness of Blocks World
Alternating Optimisation and Quadrature for Robust Control
Solving Infinite-Domain CSPs Using the Patchwork Property
Stepping Stones to Inductive Synthesis of Low-Level Looping Programs
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications
Modifying Knowledge Bases Using Scripts
Model-Free IRL Using Maximum Likelihood Estimation
HEARSAY-II: A Domain-Independent Framework for Expert Systems
Seven Challenges in Parallel SAT Solving
Temporal Planning for Interacting Durative Actions with Continuous Effects
The Denotational Semantics of Horn Clauses as a Production System
Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression
Gazetteer-Independent Toponym Resolution Using Geographic Word Profiles
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
Network, Popularity and Social Cohesion: A Game-Theoretic Approach
Pluto: Managing Multistrategy Learning through Planning
Leveraging Web Semantic Knowledge in Word Representation Learning
Compliance Viewed as Programming a Damped Spring
The Ups and Downs of Lexical Acquisition
Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition
ARTICLE: Annotator Reliability Through In-Context Learning
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract)
Mitigating Overexposure in Viral Marketing
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis
Integer Subspace Differential Privacy
Textualize Visual Prompt for Image Editing via Diffusion Bridge
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning
Emerging Architectures for Global System Science
A Two-Step Hierarchical Algorithm for Model-Based Diagnosis
Heterogeneous and Homogeneous Robot Group Behavior
Text Embedding Bank for Detailed Image Paragraph Captioning
A Practical Approach to Forgetting in Description Logics with Nominals
Semi-Supervised Learning for Blog Classification
The Complexity of Succinct Elections
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
Tracking Dynamic Team Activity
Frequency-Adaptive Pan-Sharpening with Mixture of Experts
Venting Weight: Analyzing the Discourse of an Online Weight Loss Forum
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
On Learning Deep Models with Imbalanced Data Distribution
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic
Learning Static Object Segmentation from Motion Segmentation
When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing
Risk-Sensitive Submodular Optimization
MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music
Treatment Effect Estimation with Data-Driven Variable Decomposition
IDS: Improving Aircraft Fleet Maintenance
Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval
TEST: A Model-driven Application Shell
Blameworthiness in Multi-Agent Settings
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation
A Holistic Approach to Undesired Content Detection in the Real World
A Complexity Approach for Core-Selecting Exchange with Multiple Indivisible Goods under Lexicographic Preferences
An Extended Interpreted System Model for Epistemic Logics
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
Learning the Value of Teamwork to Form Efficient Teams
Interpretable Low-Resource Legal Decision Making
Content-Aware Point of Interest Recommendation on Location-Based Social Networks
A Filtering Algorithm for Constraints of Difference in CSPs
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
Exact Phase Transitions and Approximate Algorithm of #CSP
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
Interactive Bootstrapped Learning for End-User Programming
Approval-Based Apportionment
A Primal-Dual Algorithm for Hybrid Federated Learning
STAHLp: Belief Revision in Scientific Discovery
A Framework for Reinforcement Learning on Real Robots
Importance Sampling with Unequal Support
BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning
Cornhole: A Widely-Accessible AI Robotics Task
Memory-Based Forecasting for Weather Image Patterns
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues
Role-Based Ad Hoc Teamwork
Relation Extraction Exploiting Full Dependency Forests
Graphical Model-Based Learning in High Dimensional Feature Spaces
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
Synthetic Disinformation Attacks on Automated Fact Verification Systems
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
FACTIFY: A Multi-Modal Fact Verification Dataset
Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition
On the Impossibility of Convex Inference in Human Computation
FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis
Logistic Regression on Homomorphic Encrypted Data at Scale
Material Handling: A Conservative Domain for Neural Connectivity and Propagation
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
Actionable Email Intent Modeling With Reparametrized RNNs
The Use of Condition Types to Restrict Search in an AI Planner
TellTail: Fast Scoring and Detection of Dense Subgraphs
Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
MARTA: Leveraging Human Rationales for Explainable Text Classification
Distinguishing between Sketched Scribble Look Alikes
Customizing Language Model Responses with Contrastive In-Context Learning
An Information-Flow Perspective on Algorithmic Fairness
Human Synthesis and Scene Compositing
Skyline Computation for Low-Latency Image-Activated Cell Identification
RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation
Research Challenges in Combinatorial Search
Probabilistic Temporal Planning with Uncertain Durations
On-Line Adaptative Curriculum Learning for GANs
Proceedings of the National Conference on Artificial Intelligence. Austin, TX, USA, August 6-10, 1984
The Constrainedness of Search
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
Model-Checking Memory Requirements of Resource-Bounded Reasoners
ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision
Coping With Disjunctions in Temporal Constraint Satisfaction Problems
Using Modified Lasso Regression to Learn Large Undirected Graphs in a Probabilistic Framework
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration
Recurrent Attention Model for Pedestrian Attribute Recognition
Exploring GnuGo's Evaluation Function with a SVM
Predicting the Argumenthood of English Prepositional Phrases
Expected Tensor Decomposition with Stochastic Gradient Descent
Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
Intelligent Clinical Assistant for Personalized Responses and Clinical Summaries
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning
A Permutation-Equivariant Neural Network Architecture For Auction Design
Elementary Loops Revisited
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
Using Public Data to Predict Demand for Mobile Health Clinics
Automatically Labeling the Inputs and Outputs of Web Services
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
Feature Transportation Improves Graph Neural Networks
Solving Hard Stable Matching Problems via Local Search and Cooperative Parallelization
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework
Clustering with Complex Constraints - Algorithms and Applications
Local Negotiation in Cellular Networks: From Theory to Practice
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels
Identity-Text Video Corpus Grounding
High-Performance Distributed ML at Scale through Parameter Server Consistency Models
Achieving Far Transfer in an Integrated Cognitive Architecture
Aligning Mixed Manifolds
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
Visualizing Deep Networks by Optimizing with Integrated Gradients
Bayesian Coalitional Games
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
On the Value of Good Advice: The Complexity of A* Search with Accurate Heuristics
Switch-LSTMs for Multi-Criteria Chinese Word Segmentation
Learning Precise Temporal Point Event Detection with Misaligned Labels
The Adversarial Attack and Detection under the Fisher Information Metric
Runtime Analysis of Somatic Contiguous Hypermutation Operators in MOEA/D Framework
Psychological Forest: Predicting Human Behavior
Citations and Trust in LLM Generated Responses
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification
Navigating Open Set Scenarios for Skeleton-Based Action Recognition
Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
Reachability of Fair Allocations via Sequential Exchanges
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
Portfolio Selection via Subset Resampling
State-space Planning by Integer Optimization
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
A Maximum Entropy Approach to Nonmonotonic Reasoning
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Cooperation without Communication
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework
Incentive-Aware PAC Learning
Steganography of Steganographic Networks
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning
ICARUS: Intelligent Content-Based Retrieval of 3D Scene
Random Mapping Method for Large-Scale Terrain Modeling
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information
Authorial Idioms for Target Distributions in TTD-MDPs
Accommodating Audio Modality in CLIP for Multimodal Processing
Bayes-Adaptive Interactive POMDPs
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
Multi-View Multi-Label Classification via View-Label Matching Selection
An Algorithmic Theory of Markets and Their Application to Decentralized Markets
Tractable Explanations for d-DNNF Classifiers
Learning to Transfer Relational Representations through Analogy
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
Local Differential Privacy for Bayesian Optimization
Ontology-Mediated Queries for Probabilistic Databases
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function)
Representative Solutions for Bi-Objective Optimisation
Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion
Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games
Accelerating Multiagent Reinforcement Learning through Transfer Learning
On Debugging Rule Sets When Reasoning Under Uncertainty
SKDBERT: Compressing BERT via Stochastic Knowledge Distillation
Verification of Relational Multiagent Systems with Data Types
Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System
Automated Negotiating Agents Competition (ANAC)
From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach
Translating with Bilingual Topic Knowledge for Neural Machine Translation
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network
An Axiomatic Framework for Ex-Ante Dynamic Pricing Mechanisms in Smart Grid
A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee
Generating Universal Adversarial Perturbations for Quantum Classifiers
Situated Vision in a Dynamic World: Chasing Objects
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
HyperDefender: A Robust Framework for Hyperbolic GNNs
DADO: A Tree-Structured Machine Architecture for Production Systems
A Robotic Wayfinding System for the Visually Impaired
ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation
The Impact of Selfishness in Hypergraph Hedonic Games
Discriminative Structure Learning of Arithmetic Circuits
Incentive-Boosted Federated Crowdsourcing
Interactive Rare-Category-of-Interest Mining from Large Datasets
Contract Bridge Bidding by Learning
A Study on Multimodal and Interactive Explanations for Visual Question Answering
Iterative Resource Allocation for Memory Intensive Parallel Search Algorithms on Clouds, Grids, and Shared Clusters
Contextual Conditional Reasoning
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data
Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data
Preference Trees: A Language for Representing and Reasoning about Qualitative Preferences
A Diffusion-Based Framework for Multi-Class Anomaly Detection
Taxonomy Driven Fast Adversarial Training
Algebraic Sematics for Cumulative Inference Operations
Zero-data Learning of New Tasks
Space, Time, and Ambient Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 14, 2013
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
A Whole Page Click Model to Better Interpret Search Engine Click Data
Adaptive Market Making with Inventory Constraints via Online Learning
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs