yusuke1997/dblp-id-title huggingface dataset:
Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract)
Evaluating the Role of Background Knowledge in Enhancing Knowledge Discovery in Databases
Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature
On the Benefits of Exploiting Underlying Goals in Argument-based Negotiation
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment
Making Translations to Classical Planning Competitive with Other HTN Planners
Case-Based Diagnostic Analysis in a Blackboard Architecture
Occam's Razor and a Non-Syntactic Measure of Decision Tree Complexity
KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction
On the Satisfiability Problem of Patterns in SPARQL 1.1
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
Distributed PageRank Computation: An Improved Theoretical Study
Automated Model Selection Using Context-Dependent Behaviors
Relationship Identification for Social Network Discovery
Data Clustering with a Relational Push-Pull Model
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
The King Is Naked: On the Notion of Robustness for Natural Language Processing
Business Entity Matching with Siamese Graph Convolutional Networks
Continual Learning for Named Entity Recognition
A Framework for Optimal Sequential Planning in Multiagent Settings
IFBiD: Inference-Free Bias Detection
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework
A Framework for Evaluating Barriers to the Democratization of Artificial Intelligence
Chance-Constrained Probabilistic Simple Temporal Problems
Latent Smooth Skeleton Embedding
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers
An Optimizing Method for Structuring Inferentially Linked Discourse
On Discriminative Semi-Supervised Classification
Local Causal Discovery for Structural Evidence of Direct Discrimination
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Circumscriptive Ignorance
A POMDP Formulation of Preference Elicitation Problems
The Kelly Growth Optimal Portfolio with Ensemble Learning
Defending Elections against Malicious Spread of Misinformation
Teaching Machines to Learn by Metaphors
Graph-Based Hierarchical Conceptual Clustering in Structural Databases
Towards Building a Language-Independent Speech Scoring Assessment
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
Iterative Weakening: Optimal and Near-Optimal Policies for the Selection of Search Bias
Hiding Satisfying Assignments: Two Are Better than One
Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
Towards Trustworthy Machine Learning Under Distribution Shifts
A Knowledge-Grounded Neural Conversation Model
Towards Knowledge Oriented Intelligent Audio Analytics
Optimised Maintenance of Datalog Materialisations
Efficient Evolutionary Dynamics with Extensive-Form Games
Visual Hallucination Elevates Speech Recognition
Hierarchical Classification Auxiliary Network for Time Series Forecasting
Algorithm Evolution for Signal Understanding
BiRDy: Bullying Role Detection in Multi-Party Chats
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
Embedding Compression with Isotropic Iterative Quantization
Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble
An Interval Algebra for Indeterminate Time
Augmenting Disjunctive Temporal Problems with Finite-Domain Constraints
Auditable Algorithms for Approximate Model Counting
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
Understand Restart of SAT Solver Using Search Similarity Index (Student Abstract)
Using Expectations to Drive Cognitive Behavior
Delving into Multimodal Prompting for Fine-Grained Visual Classification
Editing Memories Through Few Targeted Neurons
Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification
An Agent Approach to Security in Pervasive Environments
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks
Semantics and Inference for Recursive Probability Models
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
Identifying Sentiment Words Using an Optimization Model with L1 Regularization
SELF: Structural Equational Likelihood Framework for Causal Discovery
Quickest Detection of Adversarial Attacks Against Correlated Equilibria
Boosted Dynamic Neural Networks
Game Design for Better Security of Combination Locks
Simple Robots with Minimal Sensing: From Local Visibility to Global Geometry
CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
Overlap-Robust Decision Boundary Learning for Within-Network Classification
T5 Encoder Based Acronym Disambiguation with Weak Supervision
Omega-Regular Decision Processes
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs
Dynamically Sequencing an Animated Pedagogical Agent
Debiased Distillation for Consistency Regularization
Contingent Planning with Goal Preferences
FORCE: A Framework of Rule-Based Conversational Recommender System
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning
Unifying Logical and Statistical AI
Optimal Route Planning for Electric Vehicles in Large Networks
Using a Hybrid Genetic Algorithm and Fuzzy Logic for Metabolic Modeling
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers
DIUSum: Dynamic Image Utilization for Multimodal Summarization
Multiwinner Analogues of the Plurality Rule: Axiomatic and Algorithmic Perspectives
10, 000+ Times Accelerated Robust Subset Selection
Learning Patch-Based Dynamic Graph for Visual Tracking
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
MHBench: Demystifying Motion Hallucination in VideoLLMs
Few-Shot Bayesian Imitation Learning with Logical Program Policies
Personalized Privacy-Preserving Social Recommendation
Panel: Directions for Expert Systems
A Prototype Reading Coach that Listens
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World
Incorporating Advice into Agents that Learn from Reinforcements
Learning Adversarial Reasoning Patterns in Customer Complaints
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
Clustered Federated Learning for Heterogeneous Data (Student Abstract)
ExcluIR: Exclusionary Neural Information Retrieval
Automatic Construction and Natural-Language Description of Nonparametric Regression Models
A Framework and Positive Results for IAR-answering
KADBASE - A Prototype Expert System-Database Interface for Integrated CAE Environments
Using snarpy to Connect a KR System to Pyro
Tracing Dependencies of Strategy Selections in Agent Design
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
Overview of AutoFeed: An Unsupervised Learning System for Generating Webfeeds
TODTLER: Two-Order-Deep Transfer Learning
Kalos - A System for Natural Language Generation with Revision
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
Asymptotic Risk of Bézier Simplex Fitting
Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence
Complexity of Safety and coSafety Fragments of Linear Temporal Logic
Will You "Reconsume" the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors
Contract-based Design and Verification of Multi-Agent Systems with Quantitative Temporal Requirements
Single-Label Multi-Class Image Classification by Deep Logistic Regression
Semantic Parsing with Neural Hybrid Trees
Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space
Data-Driven Programming and Behavior for Autonomous Virtual Characters
Set-Valued Sensitivity Analysis of Deep Neural Networks
Tyche at Factify 2022: Fusion Networks for Multi-Modal Fact-Checking (short paper)
Response Generation by Context-Aware Prototype Editing
Efficient Riemannian Meta-Optimization by Implicit Differentiation
Low-Rank Similarity Metric Learning in High Dimensions
Dynamic Control of Probabilistic Simple Temporal Networks
Focusing the ATMS
Overconfidence or Paranoia? Search in Imperfect-Information Games
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Covering Landmark Interactions for Semantically Diverse Plans
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching
Predicting the Performance of IDA* with Conditional Distributions
A Novel Neural Topic Model and Its Supervised Extension
Composition Games for Distributed Systems: The EU Grant Games
Explanation-based Failure Recovery
Three Findpath Problems
SNAP: Semantic Stories for Next Activity Prediction
MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information
ShareBERT: Embeddings Are Capable of Learning Hidden Layers
Unsupervised Identification of Materials with Hyperspectral Images
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
Collaborative Company Profiling: Insights from an Employee's Perspective
Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
PAC Identification of a Bandit Arm Relative to a Reward Quantile
Topic Modeling on Health Journals With Regularized Variational Inference
Explaining and Arguing With Examples
Style Transfer in Text: Exploration and Evaluation
How to Train Your Agent to Read and Write
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
Global Greedy Dependency Parsing
Efficient Triangulation-Based Pathfinding
Interpretable Rumor Detection in Microblogs by Attending to User Interactions
Resistance to Corruption of Strategic Argumentation
Planning and Learning for Decentralized MDPs With Event Driven Rewards
Finding Diverse and Similar Solutions in Constraint Programming
A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT
Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs
Multi-Objective Self-Paced Learning
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Detecting Multilingual and Multi-Regional Query Intent in Web Search
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model
Sensible Scenes: Visual Understanding of Complex Structures through Causal Analysis
Dispersion Games: General Definitions and Some Specific Learning Results
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract)
All Beings Are Equal in Open Set Recognition
Deep Multiple Instance Feature Learning via Variational Autoencoder
Stochastic Submodular Maximization with Performance-Dependent Item Costs
Towards a Higher Level of Human-Robot Interaction and Integration
Dynamic Memory based Attention Network for Sequential Recommendation
The Active Sensing Testbed
A Theory of State Abstraction for Reinforcement Learning
Automatically Creating Multilingual Lexical Resources
Safe and Nested Endgame Solving for Imperfect-Information Games
Template-Based Information Mining from HTML Documents
Computer-Aided Proofs of Arrow's and Other Impossibility Theorems
CertiFair: A Framework for Certified Global Fairness of Neural Networks
StrokeBank: Automating Personalized Chinese Handwriting Generation
Leap Before You Look: An Effective Strategy in an Oversubscribed Scheduling Problem
Visual Estimation of 3-D Line Segments from Motion - A Mobile Robot Vision System
Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis
An End-to-End Supervised Target-Word Sense Disambiguation System
DICR: AI Assisted, Adaptive Platform for Contract Review
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
Co-Training as a Human Collaboration Policy
Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach
How Long Will It Take?
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Forecasting Collector Road Speeds Under High Percentage of Missing Data
Sampling and Updating Higher Order Beliefs in Decision-Theoretic Bargaining Under Uncertainty
Beyond Incremental Processing: Tracking Concept Drift
A Knowledge Representation that Models Memory in Narrative Comprehension
Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise
Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning
Rating Super-Resolution Microscopy Images With Deep Learning
Conversation Machines for Transaction Processing
Nondestructive Graph Unification
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Multilabel Classification with Label Correlations and Missing Labels
Bugs in the Data: How ImageNet Misrepresents Biodiversity
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving
Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
Symptom Management for Schizophrenic Agents
Dual Sparse Attention Network For Session-based Recommendation
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
Adaptive Normalized Risk-Averting Training for Deep Neural Networks
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses
Hierarchical Modeling to Facilitate Personalized Word Prediction for Dialogue
Using "Live Information" in a Multimedia Framework
Conditional Logics of Normality as Modal Systems
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
Distribution-Free Learning of Bayesian Network Structure in Continuous Domains
Early Detection of Vacant Parking Spaces Using Dashcam Videos
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection
Frame-Guided Region-Aligned Representation for Video Person Re-Identification
A Demand-Driven Algorithm for Generating Minimal Models
Intuitive linguistic Joint Object Reference in Human-Robot Interaction: Human Spatial Reference Systems and Function-Based Categorization for Symbol Grounding
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Approximate Resolution of Hard Numbering Problems
Effective Continual Learning for Text Classification with Lightweight Snapshots
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs
DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels
Identifying At-Risk Students in Massive Open Online Courses
B-ROC Curves for the Assessment of Classifiers over Imbalanced Data Sets
AnomalyKiTS: Anomaly Detection Toolkit for Time Series
Unsupervised Multilingual Word Sense Disambiguation via an Interlingua
Persuasion for Social Good: How to Build and Break AI
Operator-Potential Heuristics for Symbolic Search
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets
ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract)
Structure-Aware Feature Fusion for Unsupervised Domain Adaptation
Learning Diverse Bayesian Networks
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
Non-Deterministic Social Laws
A Toolbox for Modelling Engagement with Educational Videos
Small Is Beautiful: Computing Minimal Equivalent EL Concepts
LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
A Model Checker for Verifying ConGolog Programs
Using Deep Structure to Locate Hard Problems
Towards User-Adaptive Information Visualization
NaRuto: Automatically Acquiring Planning Models from Narrative Texts
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees
Time Optimal Multi-Agent Path Planning on Graphs
An Integrated Model for Effective Saliency Prediction
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
On Continuous Local BDD-Based Search for Hybrid SAT Solving
Suggestion Strategies for Constraint-Based Matchmaker Agents
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
Clarifying the Behavior and the Difficulty of Adversarial Training
Attributing Intelligence to Humans and Machines: Between the Devil and the Deep Blue, See?
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
Spiking Point Transformer for Point Cloud Classification
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
Blackboard Agents for Mixed-Initiative Management of Integrated Process-Planning/Production-Scheduling Solutions Across the Supply Chain
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation
Computing Observation Vectors for Max-Fault Min-Cardinality Diagnoses
Efficient Active Learning of Halfspaces via Query Synthesis
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models
Detecting Multivariate Time Series Anomalies with Zero Known Label
Facial Age Estimation by Learning from Label Distributions
YAPS: A Production Rule System Meets Objects
Better Environments for Better AI
Optimal Margin Distribution Clustering
A New Structural Induction Scheme for Proving Properties of Mutually Recursive Concepts
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search
Realtime Constraint-Based Cinematography for Complex Interactive 3D Worlds
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
Constraint-Based Preferential Optimization
Learning-Augmented Algorithms for Online Steiner Tree
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network
Detecting Feature Interactions from Accuracies of Random Feature Subsets
Revisiting the Importance of Amplifying Bias for Debiasing
SummPilot: Bridging Efficiency and Customization for Interactive Summarization System
Assessing Quality in the Web of Linked Sensor Data
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase
Do Subsampled Newton Methods Work for High-Dimensional Data?
Modeling Ecological Integrity with Bayesian Belief Networks
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns
Error Classification in Action Descriptions: A Heuristic Approach
MIGAN: Malware Image Synthesis Using GANs
Descriptions for a Programming Environment
Multiple Instance Learning with Generalized Support Vector Machines
Towards a Reading Coach that Listens: Automated Detection of Oral Reading Errors
Hand1000: Generating Realistic Hands from Text with Only 1, 000 Images
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
New l 2, 1 -Norm Relaxation of Multi-Way Graph Cut for Clustering
Learning to Search in Local Branching
Transfer Graph Neural Networks for Pandemic Forecasting
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching
Generating Relevant Explanations: Natural Language Responses to Questions about Database Structure
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
Recurrently Aggregating Deep Features for Salient Object Detection
From Crayons to Code: AI-Driven Insights into a Child's Mental Health Through Drawings
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation
CREWS_NS: Scheduling Train Crew in The Netherlands
Task-Disruptive Background Suppression for Few-Shot Segmentation
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
Partial-Expansion A* with Selective Node Generation
A Graph Dynamics Prior for Relational Inference
Understanding and Predicting Interestingness of Videos
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs
Regret Bounds for Online Kernel Selection in Continuous Kernel Space
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory
Descriptive and Discriminative Document Identifiers for Generative Retrieval
Dynamic Capsule Attention for Visual Question Answering
McMaster University's Artificial Computing System
Fair and Optimal Prediction via Post-Processing
Shuffling Recurrent Neural Networks
Personalizing Your Web Services with Constructive DL Reasoning Join
Symmetric Graph Regularized Constraint Propagation
Fair Representation for Safe Artificial Intelligence via Adversarial Learning of Unbiased Information Bottleneck
Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds
Lazy Theta*: Any-Angle Path Planning and Path Length Analysis in 3D
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
A Corner Finding Algorithm for Image Analysis and Registration