yusuke1997/dblp-id-title huggingface dataset:
Tournament Fixing Parameterized by Feedback Vertex Set Number Is FPT
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away
User-Centric Affective Computing of Image Emotion Perceptions
Robust Support Vector Machine Training via Convex Outlier Ablation
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
Deceitful Attacks in Security Games
Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network
Recurrent Expert Networks
Analog Accelerator for Simulation and Diagnostics
Appliance Recognition and Unattended Appliance Detection for Energy Conservation
A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection
Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction
The Fairness Fair: Bringing Human Perception into Collective Decision-Making
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
ML-LOO: Detecting Adversarial Examples with Feature Attribution
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules
RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums
Metacognition for Detecting and Resolving Conflicts in Operational Policies
Rotunde - A Smart Meeting Cinematography Initiative - Tools, Datasets, and Benchmarks for Cognitive Interpretation and Control
Continual Relation Extraction via Sequential Multi-Task Learning
Improving Recommendation of Tail Tags for Questions in Community Question Answering
Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language
Shoot to Know What: An Application of Deep Networks on Mobile Devices
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
Structural Information Enhanced Graph Representation for Link Prediction
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
K-ON: Stacking Knowledge on the Head Layer of Large Language Model
Depth-First vs. Best-First Search: New Results
Knowledge Extraction from Text, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
Ranking Users in Social Networks With Higher-Order Structures
A Neural Stochastic Volatility Model
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
A Continuous-time Tractable Model for Present-biased Agents
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Delay as Payoff in MAB
Frequency Oracle for Sensitive Data Monitoring (Student Abstract)
Doubly Approximate Nearest Neighbor Classification
Deep Disentangled Metric Learning
Coalition Structure Generation based on Distributed Constraint Optimization
ME: Modelling Ethical Values for Value Alignment
Dung's Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
A Multilayered Empirical Approach to Multimodality: Towards Mixed Solutions of Natural Language and Graphical Interfaces
HAN: Hierarchical Association Network for Computing Semantic Relatedness
Judgment Aggregation under Issue Dependencies
Learning a Second Language
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba
Observation-based Model for BDI-Agents
Quantitative Evaluation of the Exploration Strategies of a Mobile Robot
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
CSWA: Aggregation-Free Spatial-Temporal Community Sensing
Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks
AFGuide System to Support Personalized Management of Atrial Fibrillation
Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction
Generating Multiple Diverse Responses for Short-Text Conversation
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
Deep Quantum Error Correction
Aligning Artificial Neural Networks and Ontologies towards Explainable AI
Natural Language Explanations for Suicide Risk Classification Using Large Language Models
C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos (Student Abstract)
Optimized Random Features for the Neural Tangent Kernel (Student Abstract)
Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks
EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting
Optimizing Multivariate Performance Measures from Multi-View Data
Roles that Plan, Activity, and Intent Recognition with Planning Can Play in Games
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Coactive Learning for Locally Optimal Problem Solving
Concurrent Actions in the Situation Calculus
QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
Channel Merging: Preserving Specialization for Merged Experts
Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia
EasySED: Trusted Sound Event Detection with Self-Distillation
A Model of Creative Understanding
High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding
The Smoothed Complexity of Computing Kemeny and Slater Rankings
Investigation into Training Dynamics of Learned Optimizers (Student Abstract)
Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract)
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
Word Segmentation for Chinese Novels
AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling
Multi-Robot Auctions for Allocation of Tasks with Temporal Constraints
Answering Queries with Negation over Existential Rules
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
On Integrating Ontologies with Relational Probabilistic Models
PVRNet: Point-View Relation Neural Network for 3D Shape Recognition
Artificial Intelligence Approaches to Build Ticket to Ride Maps
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits
Generating Explanations for Complex Biomedical Queries
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
Learning by Competition of Self-Interested Reinforcement Learning Agents
Plan-Based Intention Revision
A QSAT Benchmark Based on Vertex-Folkman Problems (Student Abstract)
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Locality Preserving Refinement for Shape Matching with Functional Maps
An Action Language Based on Causal Explanation: Preliminary Report
Object-Centric Image Generation from Layouts
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents
Competing Schedulers
DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition
Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning
Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Exploration of the Robustness of Plans
Decomposed Utility Functions and Graphical Models for Reasoning about Preferences
Character n-Gram Embeddings to Improve RNN Language Models
Disentangled Variational Representation for Heterogeneous Face Recognition
Dynamic Weighted Combiner for Mixed-Modal Image Retrieval
ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback
Stratified GNN Explanations through Sufficient Expansion
Incorporating Network Embedding into Markov Random Field for Better Community Detection
Synthesizing Algorithms with Performance Constraints
Enabling Public Access to Non-Open Access Biomedical Literature via Idea-Expression Dichotomy and Fact Extraction
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
Optimal Transport with Cyclic Symmetry
IONet: Learning to Cure the Curse of Drift in Inertial Odometry
Contribution-Aware Federated Learning for Smart Healthcare
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images
Flexible Model Induction through Heuristic Process Discovery
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
A Characterization of Interventional Distributions in Semi-Markovian Causal Models
FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation
A Novel Initial Reminder Framework for Acronym Extraction
GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response
Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process
Interference Detection and Collision Avoidance Among Three Dimensional Objects
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
Formulating LUTI Calibration as an Optimisation Problem: Estimation of Tranus Shadow Price and Substitution Parameters
Implementing a Generalized Version of Resolution
CoreCluster: A Degeneracy Based Graph Clustering Framework
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
Falcon Medical Visual Question Answering
All-in-One: Transferring Vision Foundation Models into Stereo Matching
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives
Reasoning about Cognitive Trust in Stochastic Multiagent Systems
Human-Robot Systems Facing Ethical Conflicts: A Preliminary Experimental Protocol
Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
Preference Elicitation and Generalized Additive Utility
Solving Constraint Satisfaction Problems Using Finite State Automata
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection
A Robust and Extensible Tool for Data Integration Using Data Type Models
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search
Total Order Planning is More Efficient than we Thought
A Doubly Layered, Genetic Penetrance Learning System
MIMO Is All You Need：A Strong Multi-in-Multi-Out Baseline for Video Prediction
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
Cognition-Cognizant Sentiment Analysis With Multitask Subjectivity Summarization Based on Annotators' Gaze Behavior
Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions
Thematic Distillation and Point of View Extraction for Enterprise-Level Documents
Factor Augmented Tensor-on-Tensor Neural Networks
Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions
Ethical Implications of Using the Paro Robot, with a Focus on Dementia Patient Care
On the Challenges of Physical Implementations of RBMs
Patchy Image Structure Classification Using Multi-Orientation Region Transform
MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing
Stochastic Link and Group Detection
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
Signal Matching Through Scale Space
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Solving Generalized Semi-Markov Decision Processes Using Continuous Phase-Type Distributions
COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism
On the Convergence of Tâtonnement for Linear Fisher Markets
Using Artificial Neural Networks to Predict the Quality and Performance of Oilfield Cements
Moving Right Along: A Computational Model of Metaphoric Reasoning about Events
Morphing: Combining Structure and Randomness
Semantic-Guided Novel Category Discovery
Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination
V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems
Actions, Beliefs and Intentions in Rationale Clauses and Means Clauses
A Training-free Synthetic Data Selection Method for Semantic Segmentation
Hybridizing Interval Temporal Logics: The First Step
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors
DeRPN: Taking a Further Step toward More General Object Detection
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
Toward Spoken Dialogue as Mutual Agreement
AAAI-13 Preface
SciTaiL: A Textual Entailment Dataset from Science Question Answering
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Cycle-Consistency Learning for Captioning and Grounding
Detecting Asks in Social Engineering Attacks: Impact of Linguistic and Structural Knowledge
A Simple, Fast, and Effictive Rule Learner
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
Equitable Scheduling on a Single Machine
Producing BT's Yellow Pages with Formation
Improving Action Selection in MDP's via Knowledge Transfer
Transfer Learning for Color Constancy via Statistic Perspective
Cost-Sensitive Reinforcement Learning for Adaptive Classification and Control
FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
Red-Black Heuristics for Planning Tasks with Conditional Effects
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
A Selected Summary of AI for Computational Sustainability
Human Assisted Learning by Evolutionary Multi-Objective Optimization
Unbiased IoU for Spherical Image Object Detection
Learning to Reweight for Generalizable Graph Neural Network
Semi-Supervised Learning by Mixed Label Propagation
Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction
IDOL: Inertial Deep Orientation-Estimation and Localization
Transforming Healthcare Decision Making Using Artificial Intelligence
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning
A Chess Program That Chunks
Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract)
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks
Searching for Machine Learning Pipelines Using a Context-Free Grammar
Generating Predictions to Aid the Scientific Discovery Process
Updating Knowledge Bases with Disjunctive Information
From Syntax to Meaning in Natural Language Processing
Solving Crossword Puzzles as Probabilistic Constraint Satisfaction
Experience Guided Mobile Manipulation Planning
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
Generating Global Behaviors using Deep knowledge of Local Dynamics
A Comparison of Techniques for Scheduling Earth Observing Satellites
Expert Systems: A User's Perspective of Some Current Tools
Combining Slow and Fast: Complementary Filtering for Dynamics Learning
PVL: A Framework for Navigating the Precision-Variety Trade-Off in Automated Animation of Smiles
Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War
Binary Classifier Inspired by Quantum Theory
Marginal Inference in Continuous Markov Random Fields Using Mixtures
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Improved Text Matching by Enhancing Mutual Information
Autonomous Model Management via Reinforcement Learning
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly
Effective Diffusion Transformer Architecture for Image Super-Resolution
Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction
IMT: A Mixed-Initiative Data Mapping and Search Toolkit
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
Contrastive Self-supervised Learning for Graph Classification
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search
Transmission-Guided Bayesian Generative Model for Smoke Segmentation
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Online and Streaming Algorithms for Constrained k-Submodular Maximization
Hybrid-order Stochastic Block Model
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources
A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract)
Evaluating and Improving Interactions with Hazy Oracles
Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication
A Multi-Scale Approach for Graph Link Prediction
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources
An Algorithmic Introduction to Savings Circles
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits
Tensor Embedding Methods
Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network
On the Progression of Situation Calculus Basic Action Theories: Resolving a 10-year-old Conjecture
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
Social, Legal, Ethical, Empathetic, and Cultural Rules: Compilation and Reasoning
Social Context-Aware Trust Network Discovery in Complex Contextual Social Networks
Concept-Guided Prompt Learning for Generalization in Vision-Language Models
Interpreting Clues in Conjunction with Processing Restrictions in Arguments and Discourse
Learning Transferable Subspace for Human Motion Segmentation
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
Social Recommendation with an Essential Preference Space
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games
Fixing a Balanced Knockout Tournament
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
The Parameterized Complexity of Clustering Incomplete Data
Nonnegative Orthogonal Graph Matching
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Language Pre-training Guided Masking Representation Learning for Time Series Classification
A Search Engine for Discovery of Scientific Challenges and Directions
Monitoring Frog Communities: An Application of Machine Learning
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge
Natural Language Based Inference Procedures Applied to Schubert's Steamroller
Learning to Break Symmetries for Efficient Optimization in Answer Set Programming
AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures
Forming Concepts for Fast Inference
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics
Extending Deep Structure
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Exploiting Symmetry in Lifted CSPs
Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis
Explicit Sentence Compression for Neural Machine Translation
Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting
Specification-Based Computing Environments
In-Hand 3D Object Reconstruction from a Monocular RGB Video
Depth-First Versus Best-First Search
Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis
Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education
Probabilistic Planning via Determinization in Hindsight
A Rule-Based Approach to Information Retrieval: Some Results and Comments
Improved Filtering for the Euclidean Traveling Salesperson Problem in CLP(FD)
Divide and Conquer in Multi-Agent Planning
Lightweight Adaptation in Model-Based Reinforcement Learning
Walrasian Dynamics in Multi-Unit Markets
Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach
Detecting and Preventing Hallucinations in Large Vision Language Models
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters
Enhancing Multi-Label Classification via Dynamic Label-Order Learning
Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification
How to Make Knockout Tournaments More Popular?
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
Reinforcement Learning on Multiple Correlated Signals
Multi-Agent Fault Tolerance Inspired by a Computational Analysis of Cancer
Interactive Task-Plan Learning
SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera
A Reactive Robot System for Find and Fetch Tasks in an Outdoor Environment