yusuke1997/dblp-id-title huggingface dataset:
Block Image Compressive Sensing with Local and Global Information Interaction
A Reciprocal Embedding Framework For Modelling Mutual Preferences
Residual Continual Learning
Polynomial-Time Learning with Version Spaces
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis
Privacy-and-Utility-Aware Publishing of Schedules
An Efficient Algorithm for Finding Optimal Gain-Ratio Multiple-Split Tests on Hierarchical Attributes in Decision Tree Learning
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
Exacerbating Algorithmic Bias through Fairness Attacks
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Convolutional 2D Knowledge Graph Embeddings
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Type-Based Exploration with Multiple Search Queues for Satisficing Planning
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time
Local Regularizer Improves Generalization
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
A.I. as an Introduction to Research Methods in Computer Science
Learning Light-Weight Translation Models from Deep Transformer
Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension
Efficient Computation of Semivalues for Game-Theoretic Network Centrality
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, DC, USA, July 11-15, 1993
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
Combining Opinions About the Order of Rule Execution
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Knowledge-Graph Driven Information State Approach to Dialog
Formula Synthesis in Propositional Dynamic Logic with Shuffle
Should Algorithms for Random SAT and Max-SAT Be Different?
Learning to Parse Database Queries Using Inductive Logic Programming
Exploiting Class Learnability in Noisy Data
An Empirical Study of Content Understanding in Conversational Question Answering
Multi-Source Survival Domain Adaptation
ALISON: Fast and Effective Stylometric Authorship Obfuscation
Making Partial Choices in Constraint Reasoning Problems
Towards Multidocument Summarization by Reformulation: Progress and Prospects
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
Deep Semantic Dictionary Learning for Multi-label Image Classification
Emphasizing 3D Properties in Recurrent Multi-View Aggregation for 3D Shape Retrieval
Planning with Numeric Timed Initial Fluents
Probing Product Description Generation via Posterior Distillation
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
Fibring Neural Networks
Combining Incremental Strategy Generation and Branch and Bound Search for Computing Maxmin Strategies in Imperfect Recall Games
CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information
Increasing the Diversity of Deep Generative Models
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
Max-Mahalanobis Anchors Guidance for Multi-View Clustering
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Understanding Natural Language with Diagrams
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions
Crowd-Assisted Disaster Scene Assessment with Human-AI Interactive Attention
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning
Research Problems in the Use of a Shallow Artificial Intelligence Model of Personality and Emotion
Combinatorial Causal Bandits
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, July 18-22, 1999, Orlando, Florida, USA
Metacognition for Robust Social Systems, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 11, 2010
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis
Mechanism-Aware Neural Machine for Dialogue Response Generation
MuSweeper: An Extensive Game for Collecting Mutual Exclusions
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
Multimodal Variational Autoencoder: A Barycentric View
Tracking Disaster Footprints with Social Streaming Data
Transfer Adversarial Hashing for Hamming Space Retrieval
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax
Context Tree Maximizing
Relational Stacked Denoising Autoencoder for Tag Recommendation
The Influence of Memory in Multi-Agent Consensus
New Efficient Multi-Spike Learning for Fast Processing and Robust Learning
Machine Rhythm
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
The Rensselaer Mandarin Project - A Cognitive and Immersive Language Learning Environment
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Towards Bounded Optimal Meta-Level Control: A Case Study
NoGood Caching for MultiAgent Backtrack Search
Incentives and Trust in Electronic Communities, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples
Learning Non-Uniform Hypergraph for Multi-Object Tracking
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
Multimodal Adversarially Learned Inference with Factorized Discriminators
An Approach to Multiply Segmented Constraint Satisfaction Problems
On the Distortion of Voting With Multiple Representative Candidates
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
Effective Management of Electric Vehicle Storage Using Smart Charging
Classification and Reductio-ad-Absurdum Optimality Proofs
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
Social Relations Model for Collaborative Filtering
Mechanism Design in Social Networks
Optimizing Infrastructure Enhancements for Evacuation Planning
Transfer Value Iteration Networks
Higher-Order Description Logics for Domain Metamodeling
Parallel Structured Duplicate Detection
VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning
Modeling Human Ad Hoc Coordination
Epistemic Disjunctive Datalog for Querying Knowledge Bases
Expectation-Based Vision for Self-Localization on a Legged Robot
A Benchmarking Tool for the International Climate Negotiations
Explainable Data Decompositions
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
An Image Analysis Environment for Species Identification of Food Contaminating Beetles
A Bottom-Up DAG Structure Extraction Model for Math Word Problems
Graph Transformer for Graph-to-Sequence Learning
AnalogCoder: Analog Circuit Design via Training-Free Code Generation
An Information-Based Approach to Punctuation
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction
EAAI-13 Preface
Causes of Stability in Dynamic Coalition Formation
Multi-Type Resource Allocation with Partial Preferences
A Semi-Autonomous Interactive Robot
Using SAT and Logic Programming to Design Polynomial-Time Algorithms for Planning in Non-Deterministic Domains
Towards Zero-Shot Learning for Automatic Phonemic Transcription
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
From Qualitative to Quantitative Proofs of Security Properties Using First-Order Conditional Logic
Inferring Brand Knowledge from Online Consumer Associative Brand Networks
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
Propagating Ranking Functions on a Graph: Algorithms and Applications
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection
Trust Region Evolution Strategies
PRAGMA - A Flexible Bidirectional Dialogue System
Classification with Strategically Withheld Data
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation
Fast Local Search Algorithm for Weighted Feedback Arc Set in Tournaments
Scanpath Complexity: Modeling Reading Effort Using Gaze Information
Query Answering with Inconsistent Existential Rules under Stable Model Semantics
A-VL: Adaptive Attention for Large Vision-Language Models
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
Making Simple Tabular ReductionWorks on Negative Table Constraints
Capturing Relational Schemas and Functional Dependencies in RDFS
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
Defining the Complexity of an Activity
Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton
Goals as Parallel Program Specifications
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
Attribute Noise Robust Binary Classification (Student Abstract)
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Factored Models for Probabilistic Modal Logic
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information
An Exemplar-based Framework for Chinese Text Recognition
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
Color Transfer with Modulated Flows
Leveraging Textual Memory and Key Frame Reasoning for Full Video Understanding Using Off-the-Shelf LLMs and VLMs (Student Abstract)
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Towards Making the Most of BERT in Neural Machine Translation
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
Microblog Sentiment Classification with Contextual Knowledge Regularization
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation
Generative Medical Segmentation
Ideal Introspective Belief
Less is More: Data Pruning for Faster Adversarial Training
Decentralized Stochastic Planning with Anonymity in Interactions
Deep Reinforcement Learning for Communication Networks
Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search
Forming Beliefs about a Changing World
Diverse Exploration for Fast and Safe Policy Improvement
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction
A Constructive Argumentation Framework
Applying Supervised Learning to Real-World Problems
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers
Pixel-Aware Deep Function-Mixture Network for Spectral Super-Resolution
A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
Active Video Summarization: Customized Summaries via On-line Interaction with the User
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies
A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media
VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding
On the Complexity of mCP-nets
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition
AI-Assisted Scientific Data Collection with Iterative Human Feedback
Continuous Safe Learning Based on First Principles and Constraints for Autonomous Driving
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract)
Experiences with a Mobile Robotic Guide for the Elderly
Safe Interval Path Planning with Kinodynamic Constraints
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Housing Markets with Indifferences: A Tale of Two Mechanisms
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
An Enhanced Levenberg-Marquardt Method via Gram Reduction
Graphical View of Blog Content Using B2G
Curriculum Multi-Negative Augmentation for Debiased Video Grounding
Default Reasoning From Statistics
Making VCG More Robust in Combinatorial Auctions via Submodular Approximation
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Towards Good Practices for Missing Modality Robust Action Recognition
Learning Hierarchical Task Knowledge for Planning
The Implementation of a Planning and Scheduling Architecture for Multiple Robots Assisting Multiple Users in a Retirement Home Setting
Planning to Avoid Side Effects
Trajectory Constraints in Qualitative Simulation
Plan Recognition in Complex Spatial Domains
Causal Effect Identification by Adjustment under Confounding and Selection Biases
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
TriSampler: A Better Negative Sampling Principle for Dense Retrieval
Computing Exact Aspect Graphs of Curved Objects: Parametric Surfaces
Local-Search Techniques for Boolean Combinations of Pseudo-Boolean Constraints
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
Automatic Identity Inference for Smart TVs
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
Hashing Based Answer Selection
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery
A Market-Inspired Bidding Scheme for Peer Review Paper Assignment
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
Learning Visual Abstract Reasoning through Dual-Stream Networks
Compact Transformer Tracker with Correlative Masked Modeling
Explorations of Quantum-Classical Approaches to Scheduling a Mars Lander Activity Problem
Using the Web to Interactively Learn to Find Objects
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Probabilistic Explanations for Linear Models
Check-In Desk Scheduling Optimisation at CDG International Airport
The Gradient of Algebraic Model Counting
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
Programmatic Gold: Targeted and Scalable Quality Assurance in Crowdsourcing
Scalable Attributed-Graph Subspace Clustering
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
Pragmatic Querying in Heterogeneous Knowledge Graphs
Genetic Programming and AI Planning Systems
Optimizing Quantiles in Preference-Based Markov Decision Processes
Dynamic Clustering Convolutional Neural Network
Efficiently Implementing GOLOG with Answer Set Programming
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Application of Microsimulation Towards Modelling of Behaviours in Complex Environments
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients
Learning Behavior Hierarchies via High-Dimensional Sensor Projection
Approximate Integer Solution Counts over Linear Arithmetic Constraints
Bayesian Learning of Other Agents' Finite Controllers for Interactive POMDPs
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks
General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants
Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images
Deep Quantization Network for Efficient Image Retrieval
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost
Using Constraints to Model Disjunctions in Rule-Based Reasoning
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Coalition Formation Methods in Multi-Agent Environments
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations
Liberal Safety for Answer Set Programs with External Sources
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Sophisticated Cooperation in FA/C Distributed Problem Solving Systems
Logic Rule Guided Attribution with Dynamic Ablation
CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees
Modal Markov Logic for Multiple Agents
On the Axiomatization of Qualitative Decision Criteria
Looking Wider for Better Adaptive Representation in Few-Shot Learning
Ontology-Enriched Query Answering on Relational Databases
Intrinsic Chess Ratings
Analysing the Noise Model Error for Realistic Noisy Label Data
Using Plan Recognition for Interpreting Referring Expressions
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes
A PSPACE Subclass of Dependency Quantified Boolean Formulas and Its Effective Solving
Mixed-Initiative, Entity-Centric Data Aggregation using Assistopedia
Behaviosites: Manipulation of Multiagent System Behavior through Parasitic Infection
Effective Data Distillation for Tabular Datasets (Student Abstract)
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract)
RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization
Incremental Embedding Learning via Zero-Shot Translation
Rank Aggregation Using Scoring Rules
Zeroth-Order Optimization for Composite Problems with Functional Constraints
Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks
DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model
Agnostic System Identification for Monte Carlo Planning
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract)
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection
Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint)
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees
Search Strategies for Topological Network Optimization
Reasoning About General Games Described in GDL-II
Radiology Report Generation via Multi-objective Preference Optimization
A Framework for Model-Based Repair
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering
Learning Signed Network Embedding via Graph Attention
Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis
A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract)
Merging Argumentation Systems
Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation
Smoothed Online Combinatorial Optimization Using Imperfect Predictions
Centralized, Distributed or Something Else? Making Timely Decisions in Multi-Agent Systems
Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract)
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations
EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis
Two Forms of Dependence in Propositional Logic: Controllability and Definability
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations
Explaining Decisions of Agents in Mixed-Motive Games
What Are Tweeters Doing: Recognizing Speech Acts in Twitter
Towards Making Learnware Specification and Market Evolvable
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains
Exploring Relational Semantics for Inductive Knowledge Graph Completion
Learning Student Networks with Few Data
Discovering State Constraints in DISCOPLAN: Some New Results
Representing and Reasoning about Commitments in Business Processes
Towards Robust Off-Policy Learning for Runtime Uncertainty
Computer-Assisted Authoring for Natural Language Story Scripts
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
Provable Guarantees for Understanding Out-of-Distribution Detection
Planning for Component-Based Configurations
Enhance Vision-Language Alignment with Noise
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits
Active Learning with Cross-Class Similarity Transfer
A Dual Attention Network with Semantic Embedding for Few-Shot Learning
Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing
A Knowledge-Based Approach to Organizing Retrieved Documents
Clustering What Matters: Optimal Approximation for Clustering with Outliers
RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation
Transforming between Propositions and Features: Bridging the Gap
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
On the Impact of Spurious Correlation for Out-of-Distribution Detection
Bi-directional Adapter for Multimodal Tracking
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Two-Streams: Dark and Light Networks with Graph Convolution for Action Recognition from Dark Videos (Student Abstract)
Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice
Utilizing Context in Generative Bayesian Models for Linked Corpus