yusuke1997/dblp-id-title huggingface dataset:
When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark
The Statistical Learning of Accurate Heuristics
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video
Machine Learning for On-Line Hardware Reconfiguration
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs
Multi-agent Retrograde Analysis
On Calibrating Computer Controlled Cameras for Perceiving 3-D Scenes
Extracting Propositional Rules from Feed-forward Neural Networks - A New Decompositional Approach
Comparing Variants of Strategic Ability
Intrinsically Interpretable Document Classification via Concept Lattices
Why Can't You Convince Me? Modeling Weaknesses in Unpersuasive Arguments
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Issues in inductive learning of domain-specific text extraction rules
Fair Imposition
Propositional Non-Monotonic Reasoning and Inconsistency in Symmetric Neural Networks
Graph Neural Architecture Search
Kinship Verification through Transfer Learning
Use of Data Representation Mapping in Automatic Generation of Data Base Access Procedures
Oz - A Programming Language for Multi-Agent Systems
Towards a Framework for Safety Assurance of Autonomous Systems
Modeling Inter- and Intra-Part Deformations for Object Structure Parsing
Web Watcher: A Tour Guide for the World Wide Web
Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis
Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract)
A Formalism and Environment for the Development of a Large Grammar of English
Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey
Distributed Collaborative Feature Selection Based on Intermediate Representation
Reasoned Assumptions and Pareto Optimality
Joint Models for Extracting Adverse Drug Events from Biomedical Text
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks
Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
GRAEL: an agent-based evolutionary computing approach for natural language grammar development
Engineering Ontologies using Semantic Patterns
Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents
On-line Evolutionary Exponential Family Mixture
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Multi-Modality Tracker Aggregation: From Generative to Discriminative
Video Question Answering on Screencast Tutorials
Point-Based Value Iteration for Constrained POMDPs
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift
Utile Distinctions for Relational Reinforcement Learning
Joint Posterior Revision of NLP Annotations via Ontological Knowledge
Generating More Audios for End-to-End Spoken Language Understanding
Machine Learning for Cutting Planes in Integer Programming: A Survey
An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy
Data Augmentation for Learning to Play in Text-Based Games
Orchestrating a Network of Mereotopological Theories: An Abridged Report
Open-World Semi-Supervised Learning with Class Semantic Correlations
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation
Measuring conflict and agreement between two prioritized belief bases
Accountable Approval Sorting
Open Information Extraction: The Second Generation
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020
Adversarial Sequence Tagging
Observation Reduction for Strong Plans
A Boosting Algorithm for Item Recommendation with Implicit Feedback
Matching with Constraints
Inferring Iterated Function Systems Approximately from Fractal Images
How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
LRTA*(k)
AI at the Margins: Data, Decisions, and Inclusive Social Impact
View Learning for Statistical Relational Learning: With an Application to Mammography
Multi-Dimensional Causal Discovery
Your Metaphor or Mine: Belief Ascription and Metaphor Interpretation
Appearance Prompt Vision Transformer for Connectome Reconstruction
Partakable Technology
Identifying Human Mobility via Trajectory Embeddings
Shape from Shading for Surfaces with Texture and Specularity
Towards Sharp Analysis for Distributed Learning with Random Features
Dialogues with Socially Aware Robot Agents - Knowledge and Reasoning Using Natural Language
Planning Robot Control Parameter Values with Qualitative Reasoning
Debugging Program Code Using Implicative Dependencies
Reward Prediction Error as an Exploration Objective in Deep RL
Extending Consistent Domains of Numeric CSP
Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
Query Conservative Extensions in Horn Description Logics with Inverse Roles
Norms as a Basis for Governing Sociotechnical Systems: Extended Abstract
Fast Anomaly Detection for Streaming Data
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients
Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract)
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
The US and Japan Cooperative AI Research and Development
Looking at Mondrian's Victory Boogie-Woogie: What Do I Feel?
HC-Search for Incremental Parsing
A Tractability Result for Reasoning with Incomplete First-Order Knowledge Bases
Computing Strongest Necessary and Weakest Sufficient Conditions of First-Order Formulas
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract)
Learning Preferences in a Cognitive Decision Model
A Study of Argumentative Characterisations of Preferred Subtheories
Symbolic Priors for RNN-based Semantic Parsing
Meta-Evaluation as a Tool for Program Understanding
Between Imitation and Intention Learning
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences
AESim: A Data-Driven Aircraft Engine Simulator
Feature Augmented Memory with Global Attention Network for VideoQA
A heuristic model for concurrent bi-lateral negotiations in incomplete information settings
Carbon Market Simulation with Adaptive Mechanism Design
Improving CNN Performance with Min-Max Objective
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
Robots, skills, and symbols
ASAP-UCT: Abstraction of State-Action Pairs in UCT
A Knowledge Engineering Perspective of Knowledge Management: How to Manage Project Meeting Knowledge
Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
On Correctness and Privacy in Distributed Mechanisms
A Framework for Safety Violation Identification and Assessment in Autonomous Driving
Multi-Agent Communication with Information Preserving Graph Contrastive Learning
Multi-Task Learning via Time-Aware Neural ODE
SAGE: A Hybrid Geopolitical Event Forecasting System
Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network
DEL: Deep Embedding Learning for Efficient Image Segmentation
A Bayesian Factorised Covariance Model for Image Analysis
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
On the Online Generation of Effective Macro-Operators
Memory-Based Navigation
Ontology-Mediated Queries with Closed Predicates
Convergence to Equilibria in Strategic Candidacy
Learning Label Dependencies for Visual Information Extraction
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
Learning to Interpret Satellite Images using Wikipedia
Towards More Expressive Cake Cutting
Object Recognition with Hidden Attributes
Decomposition Search: A Combinatorial Games Approach to Game Tree Search, with Applications to Solving Go Endgames
Calibrating a Deep Neural Network with Its Predecessors
Group Wisdom at a Price: Jury Theorems with Costly Information
Batch Decorrelation for Active Metric Learning
A Fixed-Parameter Tractable Algorithm for Spatio-Temporal Calendar Management
Robust Draws in Balanced Knockout Tournaments
SARDSRN: A Neural Network Shift-Reduce Parser
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
Extending the Resolution Method with Sorts
Feature Integration with Adaptive Importance Maps for Visual Tracking
Building Joint Spaces for Relation Extraction
Anchors Selection for Cross-lingual Embedding Alignment through Time
Fast Model Identification via Physics Engines for Data-Efficient Policy Search
Selected It Tools in Enterprise Knowledge Management Processes - Overview and Efficiency Study
RDPD: Rich Data Helps Poor Data via Imitation
Fast Parallel Training of Neural Language Models
Meta-Level Control of Anytime Algorithms with Online Performance Prediction
Survey on Online Streaming Continual Learning
Robust Learning for Repeated Stochastic Games via Meta-Gaming
GR2: A Hybrid Knowledge-based System Using General Rules
DANE: Domain Adaptive Network Embedding
Learning Regular Languages via Alternating Automata
Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), Virtual, August, 2021
An Efficient Protocol for Negotiation over Multiple Indivisible Resources
On the Computational Complexity of Naive-Based Semantics for Abstract Dialectical Frameworks
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
Efficient Query Answering over Expressive Inconsistent Description Logics
Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection
WikiWrite: Generating Wikipedia Articles Automatically
Uniform Convergence, Stability and Learnability for Ranking Problems
Predicting The Length Of Solutions To Problems
Algorithmic Motion Planning Meets Minimially-Invasive Robotic Surgery
Verification of Generalized Inconsistency-Aware Knowledge and Action Bases
Universal Graph Self-Contrastive Learning
A Net Structure Based Relational Question Answerer: Description and Examples
Online Mechanism Design for Vehicle-to-Grid Car Parks
TuringBox: An Experimental Platform for the Evaluation of AI Systems
Dynamic Feature Fusion for Semantic Edge Detection
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision
New Fairness Concepts for Allocating Indivisible Items
ONCOCIN: An Expert System for Oncology Protocol Management
Infeasibility Certificates and the Complexity of the Core in Coalitional Games
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection
Pushdown Multi-Agent System Verification
Parallel Parsing for Unification Grammars
Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning
Flexible Learning of Problem Solving Heuristics Through Adaptive Search
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
Transfer Learning Based Adaptive Automated Negotiating Agent Framework
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction
CIC: A Framework for Culturally-Aware Image Captioning
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations
Inter-Agent Communication: A Cost-Reduction Approach Using an Autonomous Mobile Mailbox
Automatically Generating Problems and Solutions for Natural Deduction
Evaluation of Group Profiling Strategies
Label Specific Multi-Semantics Metric Learning for Multi-Label Classification: Global Consideration Helps
FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs
An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
A Social Welfare Optimal Sequential Allocation Procedure
Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract
On the Power of Optimism in Constrained Online Convex Optimization
An Efficient Algorithm for Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks
Solving the Partial Label Learning Problem: An Instance-Based Approach
Multi-Objective Generalized Linear Bandits
Scalable Verification of Strategy Logic through Three-Valued Abstraction
On Cycles, Attackers and Supporters - A Contribution to The Investigation of Dynamics in Abstract Argumentation
SAT-Encodings, Search Space Structure, and Local Search Performance
The Line of Curvature Constraint and the Interpretation of 3-D Shape From Parallel Surface Contours
Weak Equivalence for Constraint Sets
Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016
Exploring Fourier Prior for Single Image Rain Removal
DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations
Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection Problems
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging
Approximately EFX and fPO Allocations for Bivalued Chores
HTN Planning with Preferences
Transductive Relation-Propagation Network for Few-shot Learning
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables
SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint
The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking
A Novel Metric for Assessing User Influence based on User Behaviour
Deceptive Path-Planning
Preduction: A Common Form of Induction and Analogy
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach
A knowledge model to support inconsistency management when reasoning with shared knowledge
A Spatiotemporal/Spatiotemporal-Frequency Interpretation of Apparent Motion Reversal
Curriculum Learning for Natural Answer Generation
Gentzen-Type Formel System Representing Properties of Function and its Implementation
Structure from Motion Without Correspondence: General Principle
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Planning in the World of the Air Traffic Controller
Complexity of Pure Equilibria in Bayesian Games
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India
Structure Cognition from Images
Building Patterned Structures with Robot Swarms
EFEVD: Enhanced Feature Extraction for Smart Contract Vulnerability Detection
Diffusion Variational Autoencoders
Flexible Representative Democracy: An Introduction with Binary Issues
An Implementation of a Multi-Agent Plan Synchronizer
FRACTAL: Efficient Fault Isolation Using Active Testing
Case Adaptation with Qualitative Algebras
Keys, Nominals, and Concrete Domains
Not All Layers of LLMs Are Necessary During Inference
Improving Knowledge Tracing via Pre-training Question Embeddings
Machine Discovery of Effective Admissible Heuristics
On Condensing a Sequence of Updates in Answer-Set Programming
Learning from Data Heterogeneity: Algorithms and Applications
Fusion of Multiple Features and Supervised Learning for Chinese OOV Term Detection and POS Guessing
LISP Machine NK3 and Measurement of Its Performance
Template-based Uncertainty Multimodal Fusion Network for RGBT Tracking
Stochastic Market Games
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Accelerating Adversarial Training on Under-Utilized GPU
Helpful Information Sharing for Partially Informed Planning Agents
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering
Generating Integrated Interpretation of Partial Information Based on Distributed Qualitative Reasoning
Answering Metaqueries over Hi (OWL 2 QL) Ontologies
Do You Need Infinite Time?
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Real-World Automatic Makeup via Identity Preservation Makeup Net
Letizia: An Agent That Assists Web Browsing
The Use of Fuzzy Representation in a CBR System for Mesh Design
Exploring Knowledge Engineering Strategies in Designing and Modelling a Road Traffic Accident Management Domain
Toward Robust Non-Transferable Learning: A Survey and Benchmark
Conics with a Common Axis of Symmetry: Properties and Applications to Camera Calibration
A First Runtime Analysis of NSGA-III on a Many-Objective Multimodal Problem: Provable Exponential Speedup via Stochastic Population Update
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification
Using a Cognitive Architecture to Plan Dialogs for the Adaptive Explanation of Proofs
Deep Session Interest Network for Click-Through Rate Prediction
Initializing Then Refining: A Simple Graph Attribute Imputation Network
Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows
Robust Advertisement Allocation
Understanding and Exploiting Language Diversity
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
GUARDS - Innovative Application of Game Theory for National Airport Security
Abstract Argumentation Frameworks with Marginal Probabilities
Entailment Semantics for Rules with Priorities
Sensible Agent Technology Improving Coordination and Communication in Biosurveillance Domains
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
ComVas: Contextual Moral Values Alignment System
Weighted Bipolar Argumentation Graphs: Axioms and Semantics
A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models
Towards an Artificial Argumentation System
A Tree-Based Tabu Search Algorithm for the Manpower Allocation Problem with TimeWindows and Job-Teaming Constraints
Unsupervised Progressive Learning and the STAM Architecture
Structured d-DNNF Is Not Closed under Negation
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract)
Topic Extraction from Online Reviews for Classification and Recommendation
Learning Generative Adversarial Networks from Multiple Data Sources
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving
Spatially Covariant Lesion Segmentation
UCT Enhancements in Chinese Checkers Using an Endgame Database
Exploiting the Structure of Unsatisfiable Cores in MaxSAT
Robot Learning and Error Correction
A New d-DNNF-Based Bound Computation Algorithm for Functional E-MAJSAT
Policy Search in Reproducing Kernel Hilbert Space
The Cube of Opposition: A Structure Underlying Many Knowledge Representation Formalisms
Goal Recognition Design with Stochastic Agent Action Outcomes
Item Response Ranking for Cognitive Diagnosis
Difficulty Controllable Generation of Reading Comprehension Questions
An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics
Expressive Completeness of Existential Rule Languages for Ontology-Based Query Answering
Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables
A Definition-Driven Theorem Prover
Multi-hop Attention Graph Neural Networks
Community Detection in Social Networks through Community Formation Games
Internet of Things as a Significant Factor of Innovations in an Intelligent Organization
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits
Structure and Rules in Automated Multimedia Presentation Planning
Dynamic Replanning for Improved Public Transport Routing
On Robust Estimation of High Dimensional Generalized Linear Models
Interleaved Depth-First Search
HyperBF Networks for Real Object Recognition
Resource Allocation Using Sequential Auctions
Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework
Automatic Determination of Image-to-Database Correspondences
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series
Turing Test Considered Harmful
Basket-Sensitive Personalized Item Recommendation
Discovering New Creative Mixtures of Cooking Ingredients
Guide to Numerical Experiments on Elections in Computational Social Choice
Solving Math Word Problems with Teacher Supervision
LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening
Efficient Parameterizable Type Expansion for Typed Feature Formalisms
Assessing Translation Ability through Vocabulary Ability Assessment
Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks
Bayesian Real-Time Dynamic Programming
CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis
Exploiting Decomposition on Constraint Problems with High Tree-Width
Quiet: Faster Belief Propagation for Images and Related Applications
Indirect Online Preference Optimization via Reinforcement Learning
Fourier Analysis-based Iterative Combinatorial Auctions
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
Characterising the Manipulability of Boolean Games
AND/OR Branch-and-Bound for Graphical Models
Concurrent LISP on a Multi-Micro-Processor System
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness
Observability, Identifiability and Sensitivity of Vision-Aided Inertial Navigation
Hypergraph Self-supervised Learning with Sampling-efficient Signals
Mixed Link Networks
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks
PROW: A Step Toward Automatic Program Writing
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation
Generative AI for Immersive Video: Recent Advances and Future Opportunities
Settling the Complexity of Popularity in Additively Separable and Fractional Hedonic Games
A Fast and Accurate ANN-SNN Conversion Algorithm with Negative Spikes
Coherence Across Components in Cognitive Systems - One Ontology to Rule Them All
Cost-Based Goal Recognition for the Path-Planning Domain
Learning to Count by Think Aloud Imitation
Navigational Plans for Data Integration
Generalized Potential Heuristics for Classical Planning
Towards a Theory of Diagnosis of Faulty Ontologies