yusuke1997/dblp-id-title huggingface dataset:
Robots that Help Humans Build Better Mental Models of Robots
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
Automated Spectral Kernel Learning
Automatic Text Summarization of Newswire: Lessons Learned from the Document Understanding Conference
A Search Procedure for Perfect Information Games of Chance: Its Formulation and Analysis
A General Perceptual Model for Eldercare Robots
Preference-Based Search for Scheduling
Integrating Structured Metadata with Relational Affinity Propagation
We Are AI: Taking Control of Technology
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)
Computing Equilibria in Binary Networked Public Goods Games
An Asymptotically Optimal Algorithm for the Max k-Armed Bandit Problem
GFlow: Recovering 4D World from Monocular Video
Training Watson - A Cognitive Systems Course
Embedding Convolution Neural Network-Based Defect Finder for Deployed Vision Inspector in Manufacturing Company Frontec
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Predicting Appropriate Semantic Web Terms from Words
Guided Dropout
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network
Multi-Recurrent Networks for Traffic Forecasting
Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise
Minimizing Environmental Swings with a Recurrent Neural Network Control System
Parts: Structured Descriptions of Shape
Weakly Supervised Open-Vocabulary Object Detection
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios
Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions
Searching for Planning Operators with Context-Dependent and Probabilistic Effects
Adaptive Neighborhood Inverse Consistency as Lookahead for Non-Binary CSPs
Matching on Sets: Conquer Occluded Person Re-identification Without Alignment
Active Boundary Loss for Semantic Segmentation
Is Belief Revision Harder Than You Thought?
Exploiting Spatial and Temporal Flexibility for Plan Execution for Hybrid, Under-actuated Robots
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
Computational Influence for Training and Entertainment
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition
Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture
Vessel-to-Vessel Motion Compensation with Reinforcement Learning
Complexity of Computing the Shapley Value in Games with Externalities
Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation
AIR-SOAR: Intelligent Multi-Level Control
Removing Restrictions in the Relational Data Base Model: An Application of Problem Solving Techniques
Maximum Likelihood Embedding of Logistic Random Dot Product Graphs
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions
An Application-Agnostic Automatic Target Recognition System Using Vision Language Models
Factored MCTS for Large Scale Stochastic Planning
Overview of an Approach to Representation Design
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction
Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting
A Systematic Approach to Continuous Graph Labeling With Application to Computer Vision
Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving
Fat- and Heavy-Tailed Behavior in Satisficing Planning
Text-Based Interactive Recommendation via Offline Reinforcement Learning
Improving the Performance of Consistency Algorithms by Localizing and Bolstering Propagation in a Tree Decomposition
Domain Adaptive Pretraining for Multilingual Acronym Extraction
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29 - August 3, 1990, 2 Volumes
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline
Multi-View Local Learning
Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
A Counterexample to Theorems of Cox and Fine
Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning
Unsupervised Learning of Event Classes from Video
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
DeepRobust: a Platform for Adversarial Attacks and Defenses
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Question-Driven Span Labeling Model for Aspect-Opinion Pair Extraction
IMAGDressing-v1: Customizable Virtual Dressing
Relational Deep Learning: A Deep Latent Variable Model for Link Prediction
The Budgeted Biomarker Discovery Problem: A Variant of Association Studies
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach
Situation Calculus Semantics for Actual Causality
Learning Triggers for Heterogeneous Treatment Effects
Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions
Autonomous Multi-Agent Docking Using Color Segmentation
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Acquisition of Automatic Activity through Practice: Changes in Sensory Input
Dimension Amnesic Pyramid Match Kernel
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
Automated Cross-prompt Scoring of Essay Traits
The Future of Knowledge Representation
Question-based Acquisition of Conceptual Indices for Multimedia Design Documentation
Diversity-Driven Extensible Hierarchical Reinforcement Learning
Inductive Reasoning about Ontologies Using Conceptual Spaces
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks
Basic Probabilistic Ontological Data Exchange with Existential Rules
Fast Fluid Simulation via Dynamic Multi-Scale Gridding
Adversarial Dropout for Supervised and Semi-Supervised Learning
Robust Node Classification on Graph Data with Graph and Label Noise
Asynchronous Search with Aggregations
Intelligent and Affectively Aligned Evaluation of Online Health Information for Older Adults
Deep Recurrent Belief Propagation Network for POMDPs
Protecting Geolocation Privacy of Photo Collections
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer
Conjunctive Query Inseparability of OWL 2 QL TBoxes
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following
Automatic Topic Discovery for Multi-Object Tracking
Mitigating Adversarial Norm Training with Moral Axioms
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models
CMNet: Contrastive Magnification Network for Micro-Expression Recognition
A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract)
SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates
Advances in Rete Pattern Matching
Never Ending Reasoning and Learning: Opportunities and Challenges
Word Sense Disambiguation with Semi-Supervised Learning
Investigating Bias in Affective State Detection Using Eye Biometrics (short paper)
Safe Interactive Autonomy for Multi-Agent Systems
Mining Comparative Sentences and Relations
Distance-Based Equilibria in Normal-Form Games
Finding the Average Rates of Change in Repetitive Behavior
A Happening-Based Encoding for Nonlinear PDDL+ Planning
Non-monotone Sequential Submodular Maximization
Rational Multiagent Organization and Reorganization
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
Moodee: An Intelligent Mobile Companion for Sensing Your Stress from Your Social Media Postings
Modular Graph Transformer Networks for Multi-Label Image Classification
Random Projections and α-Shape to Support the Kernel Design (Student Abstract)
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration
Memory Augmented Graph Neural Networks for Sequential Recommendation
Inductive Inference by Refinement
Constraints and Agents in MADE-smart
Understanding EFX Allocations: Counting and Variants
Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
PoseBlocks: A Toolkit for Creating (and Dancing) with AI
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
Harnessing Algorithm Bias in Classical Planning
Symbolic Performance and Learning in Continuous Environments
Conservative Belief Revision
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
Measuring the Hardness of SAT Instances
Combating Semantic Contamination in Learning with Label Noise
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem
Convergence of Learning Dynamics in Information Retrieval Games
Sample-Constrained Black Box Optimization for Audio Personalization
Personalized Donor-Recipient Matching for Organ Transplantation
Symmetrization for Embedding Directed Graphs
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
On the Hardness of Probabilistic Inference Relaxations
Analysis of Equilibria in Iterative Voting Schemes
FFNet: Frequency Fusion Network for Semantic Scene Completion
How Things Appear to Work: Predicting Behaviors from Device Diagrams
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
A Multi-User Virtual World with Music Recommendations and Mood-Based Virtual Effects
NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract)
Corruption-Tolerant Algorithms for Generalized Linear Models
Discourse Topic and Gestural Form
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography
The Kritzel System for Handwriting Interpretation
A Constraint-Based Approach to Learning and Explanation
How to Draw Three People in a Botanical Garden
Towards Generalization in QBF Solving via Machine Learning
Abductive Metareasoning for Truth-Seeking Agents
Reputation in the Venture Games
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract)
Perception-Guided Jailbreak Against Text-to-Image Models
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search
Bad AI, Good AI: Rethinking the Agency of Our Artificial Teammates
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
Discovering Temporal Patterns from Insurance Interaction Data
Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs
Deep Semantic Role Labeling With Self-Attention
Using Online Planning and Acting to Recover from Cyberattacks on Software-defined Networks
Open-Vocabulary Video Relation Extraction
Frequency-Aware Contrastive Learning for Neural Machine Translation
Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract)
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition
Gradient Boosts the Approximate Vanishing Ideal
The Wasabi Personal Shopper: A Case-Based Recommender System
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
Bridging Molecular Graphs and Large Language Models
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
Exploiting Polarized Material Cues for Robust Car Detection
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
Interactive Frame Instantiation
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent
Lifelong Compression Mixture Model via Knowledge Relationship Graph
Computational Complexity of Weighted Threshold Games
Scheduling Contract Algorithms on Multiple Processors
Lifted Inference on Transitive Relations
Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning
An Automated Engineering Assistant: Learning Parsers for Technical Drawings
Scalable Sequential Spectral Clustering
Omnipotence Without Omniscience: Efficient Sensor Management for Planning
PLOW: A Collaborative Task Learning Agent
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
Deconfounded Visual Grounding
Ergonomics Analysis for Vehicle Assembly Using Artificial Intelligence
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks
Planning for Hybrid Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
Congestion Games for V2G-Enabled EV Charging
Diverse Knowledge Distillation for End-to-End Person Search
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
A Variable Occurrence-Centric Framework for Inconsistency Handling
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
A Theorem-Prover for a Decidable Subset of Default Logic
Federated Patient Hashing
Random Features for Shift-Invariant Kernels with Moment Matching
Validation of Growing Knowledge Graphs by Abductive Text Evidences
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
Towards Detection of Suspicious Behavior from Multiple Observations
IMEX: Overcoming Intactability In Explanation Based Learning
RAO*: An Algorithm for Chance-Constrained POMDP's
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
Factorized Databases: A Knowledge Compilation Perspective
KSU Willie in Semantic Vision Challenge
Cost-Sensitive Feature Selection via F-Measure Optimization Reduction
A Deep Choice Model
Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence
Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
Sharp Analysis of Random Fourier Features in Classification
Towards Awareness of Human Relational Strategies in Virtual Agents
A Generalized Reduced Linear Program for Markov Decision Processes
Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding
Autonomous Discovery In Empirical Domains
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks
Building Applications Using End to End Composition of Web Services
Monitors as Responses to Questions: Determining Competence
Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning
AI-Assisted Human Teamwork
Average-Case Approximation Ratio of Scheduling Without Payments
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks
Real-Time Planning as Decision-Making under Uncertainty
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
Computing Discourse Information with Statistical Methods
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes
Modeling with Node Degree Preservation Can Accurately Find Communities
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks
Locating Partially Visible Objects: The Local Feature Focus Method
Staff Scheduling for Inbound Call Centers and Customer Contact Centers
A Distance Measure for Bounding Probabilistic Belief Change
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
Chinese Spelling Correction as Rephrasing Language Model
Learning to Efficiently Pursue Communication Goals on the Web with the GOSMR Architecture
A Competitive Texas Hold'em Poker Player via Automated Abstraction and Real-Time Equilibrium Computation
Online Random Feature Forests for Learning in Varying Feature Spaces
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size
Temporal Fair Division
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing
Discovering Fully Oriented Causal Networks
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing
Learning to Teach with a Reinforcement Learning Agent
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract)
A General Class of Transfer Learning Regression without Implementation Cost
Intelligent Multimedia Presentation Systems: Research and Principles
FIXMYPOSE: Pose Correctional Captioning and Retrieval
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization
Knowledge Representation and Reasoning: What's Hot
Efficient Adversarial Sequence Generation for RNN with Symbolic Weighted Finite Automata
Local Search in the Coordination of Intelligent Agents
Active Sampling for Open-Set Classification without Initial Annotation
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)
Learning Landmarks for Robot Localization
Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization
Discrete Sequence Prediction and its Applications
Robust Estimation of Similarity Transformation for Visual Object Tracking
Automated Formulation of Constraint Satisfaction Problems
Discovering Robust Knowledge from Dynamic Closed World Data
Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique
Emotion Model for Life-Like Agent and Its Evaluation
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
Lifted Inference with Linear Order Axiom
Predicting Future User Actions by Observing Unmodified Applications
Learning Compositional Sparse Models of Bimodal Percepts
Early Prediction of Children's Task Completion in a Tablet Tutor using Visual Features (Student Abstract)
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers
Gaussian Transformer: A Lightweight Approach for Natural Language Inference
Conformal Mapping by Computationally Efficient Methods
Self-Aware Traffic Route Planning
EPOC: Efficient Perception via Optimal Communication
Realtime Generation of Customized 3D Animated Explanations for Knowledge-Based Learning Environments
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
AI for Data Center Management and Cloud Computing, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7, 2011
Projection in the Epistemic Situation Calculus with Belief Conditionals
Predicting User Roles from Computer Logs Using Recurrent Neural Networks
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
TableRank: A Ranking Algorithm for Table Search and Retrieval
Speeding Up Learning in Real-time Search via Automatic State Abstraction
Improving Private Random Forest Prediction Using Matrix Representation
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
Optimised Storage for Datalog Reasoning
Using Knowledge Acquisition and Representation Tools to Support Scientific Communities
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning
Welfare Guarantees in Schelling Segregation
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations
You Should Learn to Stop Denoising on Point Clouds in Advance
Path Relaxation: Path Planning for a Mobile Robot
Construction of New Medicines via Game Proof Search
Association Pattern-enhanced Molecular Representation Learning
The Challenge of Real-Time Process Control for Production Systems
Modeling Evolving Relationships Between Characters in Literary Novels
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
Automated Index Generation for Constructing Large-Scale Conversational Hypermedia Systems
High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract)
Enhancing Molecular Representation Learning Through the Combination of 3D and 2D Graph Machine Learning (Student Abstract)
Finding One's Best Crowd: Online Learning By Exploiting Source Similarity
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting