yusuke1997/dblp-id-title huggingface dataset:
Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance
Quantile-Based Maximum Likelihood Training for Outlier Detection
Mobile Robot Planning to Seek Help with Spatially-Situated Tasks
Trap Escaping Strategies in Discrete Lagrangian Methods for Solving Hard Satisfiability and Maximum Satisfiability Problems
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation
Discourse Learning: Dialogue Act Tagging with Transformation-Based Learning
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting
Optimizing the Predictive Value of Diagnostic Decision Rules
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
Incentive and Trust in E-Communities, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA
Training Spiking Neural Networks with Accumulated Spiking Flow
Faster Depth-Adaptive Transformers
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression
Streaming Classification with Emerging New Class by Class Matrix Sketching
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection
Error-Correcting and Verifiable Parallel Inference in Graphical Models
Data-Driven Structural Fire Risk Prediction for City Properties
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
Markov Decision Processes with Time-Varying Geometric Discounting
Fair Allocation of Items in Multiple Regions
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models
Identifying Adverse Drug Events by Relational Learning
A Representation for Efficient Temporal Reasoning
Tractable Classes of Metric Temporal Problems with Domain Rules
Clarity: Data-Driven Automatic Assessment of Product Competitiveness
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
Business-Aware Visual Concept Discovery from Social Media for Multimodal Business Venue Recognition
Act, and the Rest Will Follow: Exploiting Determinism in Planning as Satisfiability
The Impact of Locality and Authority on Emergent Conventions: Initial Observations
Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
Diana's World: A Situated Multimodal Interactive Agent
Speech Acts of Argumentation: Inference Anchors and Peripheral Cues in Dialogue
Fusion Multiple Kernel K-means
Human-Robot Trust and Cooperation Through a Game Theoretic Framework
Time Series Domain Adaptation via Sparse Associative Structure Alignment
Using Sliding Windows to Generate Action Abstractions in Extensive-Form Games
Rover Science Autonomy: Probabilistic Planning for Science-Aware Exploration
Localizing Web Videos from Heterogeneous Images
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
How Many Diagnoses Do We Need?
Effective Heuristics for Committee Scoring Rules
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
Tensorized Label Learning on Anchor Graph
The Induction of Fault Diagnosis Systems from Qualitative Models
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
Dynamically Constructed (PO)MDPs for Adaptive Robot Planning
A Deductive Pattern Matcher
Towards Practical ABox Abduction in Large OWL DL Ontologies
Noise-Free Optimization in Early Training Steps for Image Super-resolution
Unveiling Hidden Intentions
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
A Markovian Model for Dynamic and Constrained Resource Allocation Problems
Pan-Sharpening with Customized Transformer and Invertible Neural Network
Modeling Agent's Preferences Based On Prospect Theory
Exploiting Auditory Fovea in Humanoid-Human Interaction
MemCap: Memorizing Style Knowledge for Image Captioning
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Learning Partial Lexicographic Preference Trees over Combinatorial Domains
Reliable Multilabel Classification: Prediction with Partial Abstention
PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs
CrossNER: Evaluating Cross-Domain Named Entity Recognition
Robust Motion Planning and Safety Benchmarking in Human Workspaces
Grounded Fixpoints
Goal Recognition with Noisy Observations
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification
Towards an Effective Orthogonal Dictionary Convolution Strategy
Automatic Generation of Leveled Visual Assessments for Young Learners
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection
AI for the Web - Ontology-Based Community Web Portals
Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
Narrative Planning Model Acquisition from Text Summaries and Descriptions
A sequential reversible belief revision method based on polynomials
3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection
On the Reputation of Agent-Based Web Services
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation
An Explanation for Minimal Attachment and Right Association
Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees
Preliminary Results on Exploration-Driven Satisfiability Solving
Unsupervised Large Graph Embedding
Truncated Gaussian Policy for Debiased Continuous Control
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection
Deep Contextual Clinical Prediction with Reverse Distillation
Learning Disentangled Representation with Pairwise Independence
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret
Consensus Graph Representation Learning for Better Grounded Image Captioning
Temporal Bilinear Networks for Video Action Recognition
Hotels-50K: A Global Hotel Recognition Dataset
Style-Guided and Disentangled Representation for Robust Image-to-Image Translation
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words
Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception
Multi-Labeled Relation Extraction with Attentive Capsule Network
Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
The Complexity of Bribery in Network-Based Rating Systems
Differential Networks for Visual Question Answering
Acquiring Lexical Knowledge from Text: A Case Study
Federated Learning for Vision-and-Language Grounding Problems
Bayesian Networks with Prior Knowledge for Malware Phylogenetics
How Similar Are Two Elections?
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation
A Correspondence Metric for Imitation
Autonomous Development of a Grounded Object Ontology by a Learning Robot
Age of Exposure: A Model of Word Learning
Self-Supervised Bidirectional Learning for Graph Matching
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera
A Framework for Problem Solving Activities in Multi-Agent Systems
Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles
Time Representation: A Taxonomy of Internal Relations
Modeling Human Decision Making in Cliff-Edge Environments
Semantic Understanding for Contextual In-Video Advertising
Toward Connectionist Parsing
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
Lifted Proximal Operator Machines
Reasoning with Orders of Magnitude and Approximate Relations
Constraint Propagation Algorithms for Temporal Reasoning
Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture
Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution
Video Face Super-Resolution with Motion-Adaptive Feedback Cell
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio
IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context
co-rank: An Online Tool for Collectively Deciding Efficient Rankings Among Peers
Category-Guided Visual Question Generation (Student Abstract)
Using Machine Learning to Improve Stochastic Optimization
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
MULE: Multimodal Universal Language Embedding
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds
Modelling Iterative Judgment Aggregation
Identifiability of Direct Effects from Summary Causal Graphs
Computing Superior Counter-Examples for Conformant Planning
Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
Data-Free Generalized Zero-Shot Learning
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Exploiting the Social-Like Prior in Transformer for Visual Reasoning
Agent Influence as a Predictor of Difficulty for Decentralized Problem-Solving
EtinyNet: Extremely Tiny Network for TinyML
Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty
SentiCap: Generating Image Descriptions with Sentiments
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
RESA: Recurrent Feature-Shift Aggregator for Lane Detection
Incorporating Opponent Models into Adversary Search
Multi-Label Classification with Label Graph Superimposing
Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation
Refining the Structure of Terminological Systems: Terminology = Schema + Views
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding
Backdoor Attack on Propagation-based Rumor Detectors
Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
New Models for Competitive Contagion
Echo-State Conditional Restricted Boltzmann Machines
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
1.6-Bit Pattern Databases
Memeta: A Framework for Multi-Relational Analytics on the Blogosphere
Robust Blind Text Image Deblurring via Maximum Consensus Framework
Dynamic Determinantal Point Processes
GSENet: Global Semantic Enhancement Network for Lane Detection
The Benefit in Free Information Disclosure When Selling Information to People
Table Header Detection and Classification
Associative Memory Using Dictionary Learning and Expander Decoding
A Representation for Temporal Sequence and Duration in Massively Parallel Networks
Reactive Reasoning and Planning
FOCUS: Towards Universal Foreground Segmentation
Reputation-Aware Continuous Double Auction
Requirements Assurance in Machine Learning
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
Probabilistic Frame-Based Systems
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization
The Swarm Application Framework
Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains
Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key
Predicting Bike Usage for New York City's Bike Sharing System
The AAAI-97 Mobile Robot Competion: Martians, Remotes, Hors d'oeuvres and Cleaning up the Mess Afterwards (Abstract)
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model
TextToucher: Fine-Grained Text-to-Touch Generation
AI Audit: A Card Game to Reflect on Everyday AI Systems
On the Convergence of Communication-Efficient Local SGD for Federated Learning
New Expressive Languages for Ontological Query Answering
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
A Description Classifier for the Predicate Calculus
Quantum Best Arm Identification with Quantum Oracles
Compiling Model-Based Diagnosis to Boolean Satisfaction
High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field
Capturing the Pulse of Cities: Opportunity and Research Challenges for Robust Stream Data Reasoning
A Variational Point Process Model for Social Event Sequences
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities
Context Enhanced Transformer for Single Image Object Detection in Video Data
Scholarly Big Data: AI Perspectives, Challenges, and Ideas, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
Multi-Label Dimensionality Reduction via Dependence Maximization
The Power of Sequential Single-Item Auctions for Agent Coordination
Learning Structural Causal Models from Ordering: Identifiable Flow Models
Social Emotion Classification via Reader Perspective Weighted Model
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
Recurrent Neural Network Properties and their Verification with Monte Carlo Techniques
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract)
Contextual Pandora's Box
Death vs. Data Science: Predicting End of Life
REGNav: Room Expert Guided Image-Goal Navigation
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
Java Constraint Library: bringing constraints technology on the Internet using the Java language
TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
Contextually-Based Utility: An Appraisal-Based Approach at Modeling Framing and Decisions
Enhancing Sequential Recommendation with Global Diffusion
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations
When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure
Future-Guided Incremental Transformer for Simultaneous Translation
Leveraging Multiple Networks for Author Personalization
Tractable Theories of Multiple Defeasible Inheritance in Ordinary Nonmonotonic Logics
ConversationMoC: Encoding Conversational Dynamics using Multiplex Network for Identifying Moment of Change in Mood and Mental Health Classification
Dynamic Restart Policies
Search-Based Path Planning with Homotopy Class Constraints
Searching for Alignment in Face Recognition
Counting Models Using Connected Components
Dynamic Network Embedding by Modeling Triadic Closure Process
Software Testing for Machine Learning
Privacy-Preserving Face Recognition in the Frequency Domain
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation
Pairwise Fairness for Ranking and Regression
Re-Examining the Mental Imagery Debate with Neuropsychological Data from the Clock Drawing Test
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
A Noise Scaled Semi Parametric Gaussian Process Model for Real Time Water Network Leak Detection in the Presence of Heteroscedasticity
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework
Compressing Configuration Data for Memory Limited Devices
Randomized Mechanisms for Selling Reserved Instances in Cloud Computing
RAGG: Retrieval-Augmented Grasp Generation Model
Transportability of Causal and Statistical Relations: A Formal Approach
Meta Multi-Task Learning for Sequence Modeling
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing
Fast-Tracking Stationary MOMDPs for Adaptive Management Problems
Non-reversible Parallel Tempering for Deep Posterior Approximation
Data Mining for Maintenance of Complex Systems
On the Extraction of Shape Information from Shading
Security Games with Protection Externalities
Rational Inference Patterns Based on Conditional Logic
Kwiri - What, When, Where and Who: Everything You Ever Wanted to Know About Your Game But Didn't Know How to Ask
Symmetric Subgame Perfect Equilibria in Resource Allocation
From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction
Linear-Time Gibbs Sampling in Piecewise Graphical Models
Optimal Column Subset Selection by A-Star Search
Robust Principal Component Analysis-Based Infrared Small Target Detection
Fair Knapsack
Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping
Learning Multi-Modal Word Representation Grounded in Visual Context
Understanding Dropouts in MOOCs
Learning Support Vector Machines from Distributed Data Sources
Towards a Validated Model of "Emotional Intelligence"
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Delegation-Relegation for Boolean Matrix Factorization
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device
Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering
TEXTAL™: Automated Crystallographic Protein Structure Determination
On Testing for Discrimination Using Causal Models
Satisfiability and Model Counting in Open Universes
Maxileximin Envy Allocations and Connected Goods
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks
Decompositional, Model-based Learning and its Analogy to Diagnosis
Application of Artificial Intelligence to Operational Real-Time Clear-Air Turbulence Prediction
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
Learning to Copy Coherent Knowledge for Response Generation
Knowledge-Enriched Visual Storytelling
Multiagent Connected Path Planning: PSPACE-Completeness and How to Deal With It
The Limits on Combining Recursive Horn Rules with Description Logics
NL2LTL - a Python Package for Converting Natural Language (NL) Instructions to Linear Temporal Logic (LTL) Formulas
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
Metaphors and Models
The Complexity of LTL on Finite Traces: Hard and Easy Fragments
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm
Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views
Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding
Multi-Document Transformer for Personality Detection
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Generalized Task Markets for Human and Machine Computation
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
Unsupervised Controllable Text Formalization
Online Multi-Agent Pathfinding
Unsupervised Anomaly Detection by Robust Density Estimation
Constraint Symmetry and Solution Symmetry
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
Efficient Clinical Concept Extraction in Electronic Medical Records
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English
Mixed-Effects Contextual Bandits
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
Robotic Crawling Assistance for Infants with Cerebral Palsy
Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User
Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data
Discovering Options That Minimize Average Planning Time
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Truthful and Fair Mechanisms for Matroid-Rank Valuations
Untangled: A Complete Dynamic Topological Logic
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
Relightable and Animatable Neural Avatars from Videos
Robustification of Online Graph Exploration Methods
Load Balancing for Hypertable
Edge-Aware Guidance Fusion Network for RGB-Thermal Scene Parsing
Memory-based Reasoning Applied to English Pronunciation
Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence
Continual Planning in Golog
Modeling High-Dimensional Data by Combining Simple Experts
Scale Up Event Extraction Learning via Automatic Training Data Generation
Towards Oracle Knowledge Distillation with Neural Architecture Search
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
Minimal Belief and Negation as Failure: A Feasible Approach
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection