yusuke1997/dblp-id-title huggingface dataset:
A Framework for Utilizing Lab Test Results for Clinical Prediction of ICU Patients
A Logic-Based Model of Intentions for Multi-Agent Subcontracting
Declarative Learning Based Programming, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
Evolutionary Tile Coding: An Automated State Abstraction Algorithm for Reinforcement Learning
Pose-Guided 3D Human Generation in Indoor Scene
Sequential Classification-Based Optimization for Direct Policy Search
SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract)
SunRay V - An Intelligent Container Trucking Operations Management and Control System
Responding to Student Affect and Efficacy through Empathetic Companion Agents in Interactive Learning Environments
Contrastive Representation for Interactive Recommendation
On Policy Iteration as a Newton s Method and Polynomial Policy Iteration Algorithms
Reactive Deliberation: An Architecture for Real-Time Intelligent Control in Dynamic Environments
Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning
ACT: an Attentive Convolutional Transformer for Efficient Text Classification
Recognizing Multi-Agent Activities from GPS Data
Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract)
Certified Causal Defense with Generalizable Robustness
Knowledge Base Discovery Tool
A Cooperative Problem Solving System for User Interface Design
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
Revisiting Interpolation for Noisy Label Correction
Concurrent Multi-Label Prediction in Event Streams
WhyNot: Debugging Failed Queries in Large Knowledge Bases
Constrained Prescriptive Trees via Column Generation
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond
Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease
Sound Ontology for Computational Auditory Scence Analysis
Cooperative Multi-Agent Fairness and Equivariant Policies
Extracting Influential Nodes for Information Diffusion on a Social Network
Painterly Image Harmonization by Learning from Painterly Objects
Maestro: A Gamified Platform for Teaching AI Robustness
Integrating Image Clustering and Codebook Learning
A Bayesian Reinforcement Learning framework Using Relevant Vector Machines
Metric-Based Auto-Instructor for Learning Mixed Data Representation
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
State Deviation Correction for Offline Reinforcement Learning
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling
Community-Aware Variational Autoencoder for Continuous Dynamic Networks
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving
Locality-Constrained Low-Rank Coding for Image Classification
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes
Automated Analysis of Commitment Protocols Using Probabilistic Model Checking
Lifelong Forgetting: A Critical Ingredient of Lifelong Learning, and Its Implementation in the OpenCog Integrative AI Framework
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
Semi-Supervised Kernel Matching for Domain Adaptation
On Expressing Value Externalities in Position Auctions
Hypotheses Tree Building for One-Shot Temporal Sentence Localization
Metric Nearness Made Practical
Reasoning and Acting in Time
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
Representing Problem-Solving for Knowledge Refinement
Fully Test-time Adaptation for Tabular Data
HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition
Maximizing Nash Social Welfare under Two-Sided Preferences
Applying Multi-Task Reading Comprehension in Acronym Disambiguation
On the Complexity of BDDs for State Space Search: A Case Study in Connect Four
Proportional Justified Representation
A Method for Large-Scale l1-Regularized Logistic Regression
Improved Graph Contrastive Learning for Short Text Classification
On the Complexity and Approximation of Binary Evidence in Lifted Inference
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
Deep Conservative Policy Iteration
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
Alpha-Beta Pruning for Games with Simultaneous Moves
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms
Generating and Solving Logic Puzzles through Constraint Satisfaction
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
Learning a Few-shot Embedding Model with Contrastive Learning
Modeling of Activities as Fuzzy Temporal Multivariable Problems
GEF: A Self-Programming Robot Using Grammatical Evolution
A Utility-Theoretic Approach to Privacy and Personalization
Compact Propositional Encodings of First-Order Theories
Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation
Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments
Computing Optimal Monitoring Strategy for Detecting Terrorist Plots
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
Planning with First-Order Temporally Extended Goals using Heuristic Search
Path Following with Adaptive Path Estimation for Graph Matching
Distilling Portable Generative Adversarial Networks for Image Translation
FROC: Building Fair ROC from a Trained Classifier
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting
And/Or Graph Representation of Assembly Plans
Artificial Intelligence and Smarter Living: The Conquest of Complexity, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement
Constraint Satisfaction Using A Hybrid Evolutionary Hill-Climbing Algorithm That Performs Opportunistic Arc and Path Revision
Toward Interactive Relational Learning
An Algorithm Better than AO*?
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Transferring Decomposed Tensors for Scalable Energy Breakdown Across Regions
UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2
Machine Learning for Meeting Analysis
Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
Learning From Ambiguous Examples
Avocodo: Generative Adversarial Network for Artifact-Free Vocoder
Global Filters for Qualitative Behaviors
One-shot Graph Neural Architecture Search with Dynamic Search Space
Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
COT: Contextual Operating Tensor for Context-Aware Recommender Systems
Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation
Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction
Managing Multiple Tasks in Complex, Dynamic Environments
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)
Transferring Naive Bayes Classifiers for Text Classification
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement
Agent-Centered Search: Situated Search with Small Look-Ahead
Diversity Transfer Network for Few-Shot Learning
Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification
Exploratory Machine Learning with Unknown Unknowns
Literacy and STEM Teachers Adapt AI Ethics Curriculum
OLMD: Orientation-aware Long-term Motion Decoupling for Continuous Sign Language Recognition
Self-Adversarially Learned Bayesian Sampling
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale
Anytime Inference with Distilled Hierarchical Neural Ensembles
Do Not Have Enough Data? Deep Learning to the Rescue!
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation
Towards Truthful Mechanisms for Binary Demand Games: A General Framework
Multi-Modal Multi-Task Learning for Automatic Dietary Assessment
Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text
Patch-Wise Attention Network for Monocular Depth Estimation
Prompting Neural Machine Translation with Translation Memories
HVAC-Aware Occupancy Scheduling (Extended Abstract)
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems
Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
Fairness without Demographics through Shared Latent Space-Based Debiasing
The Disciple Integrated Shell and Methodology for Rapid Development of Knowledge-Based Agents
OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning
Spatial Scan for Disease Mapping on a Mobile Population
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings
Interacting with a Pet Robot using Hand Gestures
Context-Dependent Models for Predicting and Characterizing Facial Expressiveness
Is Dynamicity All You Need?
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training
Chance-Constrained Path Planning with Continuous Time Safety Guarantees
Fixation Maximization in the Positional Moran Process
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Similarity Is Not Entailment - Jointly Learning Similarity Transformation for Textual Entailment
Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models
Width and Complexity of Belief Tracking in Non-Deterministic Conformant and Contingent Planning
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hierarchical Constraint Satisfaction in Spatial Databases
Modeling Spatial-Temporal Dynamics of Human Movements for Predicting Future Trajectories
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition
Inductive Learning in a Mixed Paradigm Setting
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
Online Posted Pricing with Unknown Time-Discounted Valuations
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification
Proportionally Fair Matching via Randomized Rounding
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
SAT-Based Techniques for Lexicographically Smallest Finite Models
Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
Gradient Networks: Explicit Shape Matching Without Extracting Edges
Non-flat ABA Is an Instance of Bipolar Argumentation
Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting
Focused Real-Time Dynamic Programming for MDPs: Squeezing More Out of a Heuristic
Regeneration Learning: A Learning Paradigm for Data Generation
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
Learning Cooperative Lane Selection Strategies for Highways
Self-Paced Active Learning: Query the Right Thing at the Right Time
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
Late-Breaking Developments in the Field of Artificial Intelligence, Bellevue, Washington, USA, July 14-18, 2013
Envy-Free Mechanisms with Minimum Number of Cuts
Tools for Preference Reasoning
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Discriminative Multi-Task Feature Selection
Structure Learning for Statistical Relational Models
Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining
Neural Link Prediction over Aligned Networks
On Causally Disentangled Representations
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
Effects of Local Information on Group Behavior
A Hybrid Probabilistic Approach for Table Understanding
iMoT: Inertial Motion Transformer for Inertial Navigation
Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening
Solving Imperfect Information Games Using Decomposition
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal
Learning Options in Multiobjective Reinforcement Learning
Validating Plans in the Context of Processes and Exogenous Events
Weak Representations of Interval Algebras
An Empirical Study of Bagging Predictors for Different Learning Algorithms
Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract)
Anonymization for Skeleton Action Recognition
Multiple Independent Subspace Clusterings
Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability
Target Surveillance in Adversarial Environments Using POMDPs
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case
Visual Question Answering for Peruvian Cuisine in Regional Spanish
Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes
Solving Concisely Expressed Combinatorial Auction Problems
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training
Dynamic Temporal Planning for Multirobot Systems
A Calculus for Stochastic Interventions: Causal Effect Identification and Surrogate Experiments
Predicting Hurricane Trajectories Using a Recurrent Neural Network
Active Learning Guided by Efficient Surrogate Learners
Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract)
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems
Germane Conflicts: Desirable Properties for Localising Inconsistency
A Comparison of Model Averaging Methods in Foreign Exchange Prediction
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control
Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision
Deep Neural Networks Constrained by Decision Rules
Optimal Transport with Tempered Exponential Measures
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks
Constructive Neural Network Learning Algorithms
Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract)
Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces
Group Activity Selection on Social Networks
Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy
Preserving Condorcet Winners under Strategic Manipulation
Invited Talks
Generalize Sentence Representation with Self-Inference
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
BOSS: A Bi-directional Search Technique for Optimal Coalition Structure Generation with Minimal Overlapping (Student Abstract)
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists
Adaptive Timeout Policies for Fast Fine-Grained Power Management
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference
A Variance Analysis for POMDP Policy Evaluation
MambaLCT: Boosting Tracking via Long-term Context State Space Model
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection
Simple and Effective Stochastic Neural Networks
A Theory of Forgetting in Logic Programming
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Strategic Information Revelation and Commitment in Security Games
Intelligent Real-Time Monitoring
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Distance Metric Learning Versus Fisher Discriminant Analysis
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
OUS: Bridging Scene Context and Facial Features to Overcome the Rigid Cognitive Problem
Connecting the Dots Using Contextual Information Hidden in Text and Images
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective
Structure-Aware Multimodal Sequential Learning for Visual Dialog
Threat, Explore, Barter, Puzzle: A Semantically-Informed Algorithm for Extracting Interaction Modes
A Modular Visual Tracking System
Structural Entropy Based Graph Structure Learning for Node Classification
Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document
Prospects of Continual Causality for Industrial Applications
Classification of Noun Phrases into Concepts or Individuals
Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents
Can Approximation Circumvent Gibbard-Satterthwaite?
Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
What Should Be Minimized in a Decision Tree?
Online Goal Recognition as Reasoning over Landmarks
Rethinking Causal Relationships Learning in Graph Neural Networks
Dual Task Framework for Improving Persona-Grounded Dialogue Dataset
Expressive Power of Temporal Message Passing
Preliminary Studies in Agent Design in Simulated Environments
Security-preserving Support Vector Machine with Fully Homomorphic Encryption
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
RESEARCHER: An Overview
Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization
Recent Progress in the Design and Analysis of Admissible Heuristic Functions
Uncovering Scene Context for Predicting Privacy of Online Shared Images
Natural Language Generation with Expert Standards
Introductory Computer Science with Robots
Two Heads Are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation
Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract)
Live and Learn: Continual Action Clustering with Incremental Views
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
PSENet: Psoriasis Severity Evaluation Network
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
Optimal Scheduling of Contract Algorithms with Soft Deadlines
Document-Level Relation Extraction with Reconstruction
InstaNAS: Instance-Aware Neural Architecture Search
Multi-Label Learning with Weak Label
Effective Slot Filling via Weakly-Supervised Dual-Model Learning
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation
The Compressed Differential Heuristic
Learning Adversarial 3D Model Generation With 2D Image Enhancer
Neural Ideal Point Estimation Network
Multi-Agent Discussion Mechanism for Natural Language Generation
Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines
A New Inference Method for Frame-Based Expert Systems
Learning from the Tangram to Solve Mini Visual Tasks
An Agent Model for the Appraisal of Normative Events Based in In-Group and Out-Group Relations
Anytime Problem Solving Using Dynamic Programming
Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment
A Framework for Approval-Based Budgeting Methods
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction
MOLE: A Knowledge Acquisition Tool that Uses its Head
POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization
Building More Explainable Artificial Intelligence With Argumentation
Reasoning about Temporal Relations: A Maximal Tractable Subclass of Allen's Interval Algebra
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Generate (Non-Software) Bugs to Fool Classifiers
A New Algorithm for Weighted Partial MaxSAT
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Multi-Dimension Attention for Multi-Turn Dialog Generation (Student Abstract)
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Multi-Zone Unit for Recurrent Neural Networks
Constrained Generative Modeling with Manually Bridged Diffusion Models
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search