yusuke1997/dblp-id-title huggingface dataset:
A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
Approximating Text-to-Pattern Hamming Distances
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation
Graph Signal Processing for Heterogeneous Change Detection Part I: Vertex Domain Filtering
Regression-aware Continual Learning for Android Malware Detection
Adaptive Spectral Inversion for Inverse Medium Problems
Natural Language Processing of Privacy Policies: A Survey
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification
Specifying and Reasoning about Contextual Preferences in the Goal-oriented Requirements Modelling
On Planarity of Graphs in Homotopy Type Theory
Swarm behavior tracking based on a deep vision algorithm
The maximum capability of a topological feature in link prediction
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks
Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
Stability and Regret bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems
Multiple Protein Profiler 1.0 (MPP): A webserver for predicting and visualizing physiochemical properties of proteins at the proteome level
Proceedings 1st International Workshop on Strategic Reasoning, SR 2013, Rome, Italy, March 16-17, 2013
Analysing and strengthening OpenWPM's reliability
Zero-shot Bias Correction: Efficient MR Image Inhomogeneity Reduction Without Any Data
RNGA for non-square multivariable control systems: properties and application
Flexible Robotic Grasping with Sim-to-Real Transfer based Reinforcement Learning
Misinforming LLMs: vulnerabilities, challenges and opportunities
Improved dual channel pulse coupled neural network and its application to multi-focus image fusion
Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join
Space-Efficient Circuit Evaluation
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos
Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks
Multimodal Side-Tuning for Document Classification
Passage-traversing optimal path planning with sampling-based algorithms
Better Together - An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems
Investigating ADR mechanisms with knowledge graph mining and explainable AI
A System-Theoretic Clean Slate Approach to Provably Secure Ad Hoc Wireless Networking
Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients
Hyperbolic Geometry of Complex Networks
Traffic smoothing using explicit local controllers
Non linear Prediction of Antitubercular Activity Of Oxazolines and Oxazoles derivatives Making Use of Compact TS-Fuzzy models Through Clustering with orthogonal least sqaure technique and Fuzzy identification system
Adversarial Examples in the Physical World: A Survey
SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling
Operator Splitting/Finite Element Methods for the Minkowski Problem
Review for Handling Missing Data with special missing mechanism
Explaining Safety Failures in NetKAT
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
Linear Separability in Spatial Databases
Tree structured sparse coding on cubes
A reduced-IRKA method for large-scale ℋ 2 -optimal model order reduction
Multi-scale Neural Networks for Retinal Blood Vessels Segmentation
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
CCSK:Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models
Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases
Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes
ViT-LSLA: Vision Transformer with Light Self-Limited-Attention
DistB-Condo: Distributed Blockchain-based IoT-SDN Model for Smart Condominium
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
Efficient iterative linearised solvers for numerical approximations of stochastic Stefan problems
A New Real-World Video Dataset for the Comparison of Defogging Algorithms
An LSTM model for Twitter Sentiment Analysis
GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning
Sim-to-Real Surgical Robot Learning and Autonomous Planning for Internal Tissue Points Manipulation using Reinforcement Learning
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
A System for Critical Facility and Resource Optimization in Disaster Management and Planning
High-Efficiency Neural Video Compression via Hierarchical Predictive Learning
Dialog System Technology Challenge 7
Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS
Unsupervised Segmentation of Action Segments in Egocentric Videos using Gaze
Optimal sequence for Parrondo games
Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video Rank Models
CoKV: Optimizing KV Cache Allocation via Cooperative Game
Approximate Weighted CR Coded Matrix Multiplication
Robotic Assembly across Multiple Contact Stiffnesses with Robust Force Controllers
Facial Expression Retargeting from Human to Avatar Made Easy
Computational Complexity of Finding Subgroups of a Given Order
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice
Spatial-Winograd Pruning Enabling Sparse Winograd Convolution
Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of G N -Coset Codes
Secure Communication over Fading Channels
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning
Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM
Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
Multiple Instance Deep Learning for Weakly Supervised Audio Event Detection
Part-Aware Self-Supervised Pre-Training for Person Re-Identification
From Collaboration to Solitude and Back: Remote Pair Programming during COVID-19
Direct Method for Training Feed-forward Neural Networks using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization
Multi-domain learning CNN model for microscopy image classification
From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments
Cybernetics and the Future of Work
Topological Considerations for Tuning and Fingering Stringed Instruments
Some Observations on Fact-Checking Work with Implications for Computational Support
Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semantics
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
Quantum-aware Transformer model for state classification
Handwriting-based Automated Assessment and Grading of Degree of Handedness: A Pilot Study
Learning Deep Neural Policies with Stability Guarantees
Feedback Neural Network based Super-resolution of DEM for generating high fidelity features
SGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignment
A Memristor based Unsupervised Neuromorphic System Towards Fast and Energy-Efficient GAN
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment
ARRIVAL: Recursive Framework & ℓ 1 -Contraction
Co-action provides rational basis for the evolution of cooperation
Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges
HashSDF: Accurate Implicit Surfaces with Fast Local Features on Permutohedral Lattices
An interior penalty DG method with correct and minimal averages, jumps and penalties for the miscible displacement problem of nonnegative characteristic form, and SUPG-type error estimates under low regularity, dominating Darcy velocity
BeDKD: Backdoor Defense based on Dynamic Knowledge Distillation and Directional Mapping Modulator
Training IBM Watson using Automatically Generated Question-Answer Pairs
Students' Engagement in Anonymous Peer Review: Using the Open-Source Sakai Platform
Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited
ORangE: Operational Range Estimation for Mobile Robot Exploration on a Single Discharge Cycle
On a Dissimilarity Metric for Analyzing Body Synergistic Coordination in Non-Periodic Motion
Modeling bank performance: A novel fuzzy two-stage DEA approach
Carbon-Aware Workflow Scheduling with Fixed Mapping and Deadline Constraint
Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
Tonal consonance parameters expose a hidden order in music
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Transduction with Matrix Completion Using Smoothed Rank Function
A new approach for image segmentation based on diffeomorphic registration and gradient fields
Generative diffusion modeling protocols for improving the Kikuchi pattern indexing in electron back-scatter diffraction
Spatially-Coupled Binary MacKay-Neal Codes for Channels with Non-Binary Inputs and Affine Subspace Outputs
Distributed Frequency Restoration and SoC Balancing Control for AC Microgrids
Minimax Multi-Agent Persistent Monitoring of a Network System
Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State Delay
Learning Dexterous Manipulation with Quantized Hand State
Reputation Transfer in the Twitter Diaspora
Learning the Language of NVMe Streams for Ransomware Detection
AlphaSeq: Sequence Discovery with Deep Reinforcement Learning
A Limitation of V-Matrix based Methods
Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
Value of risk-contact data from digital contact monitoring apps in infectious disease modeling
Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
Not all Layers of LLMs are Necessary during Inference
Surgical Knowledge Rewrite in Compact LLMs: An 'Unlearn-then-Learn' Strategy with (IA 3 ) for Localized Factual Modulation and Catastrophic Forgetting Mitigation
Faithful universal graphs for minor-closed classes
PySpatial: A High-Speed Whole Slide Image Pathomics Toolkit
THU-Splines: Highly Localized Refinement on Smooth Unstructured Splines
The Anatomy of Leadership in Collective Behaviour
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable Propagation, Channel Hardening, and Rank Deficiency
Simulating Virtual Players for UNO without Computers
Analyticup E-commerce Product Search Competition Technical Report from Team Tredence_AICOE
Enumeration in the lattice of q -decreasing words
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs
Uniqueness of Nonextensive entropy under Renyi's Recipe
ARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications
Studying the Affecting Factors on Trust in Social Commerce
Mapping bipartite networks into multidimensional hyperbolic spaces
A General Architecture for Language Engineering (GATE) - a new approach to Language Engineering R&D
Fusion of Model-free Reinforcement Learning with Microgrid Control: Review and Insight
Learning Complex Teamwork Tasks using a Sub-task Curriculum
Deeper Task-Specificity Improves Joint Entity and Relation Extraction
Resource dependency and survivability in complex networks
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
PittPack: An Open-Source Poisson's Equation Solver for Extreme-Scale Computing with Accelerators
Positive and monotone fragments of FO and LTL
Estado Actual de la Práctica de la Ingeniería de Software en México
Durian: Dual Reference Image-Guided Portrait Animation with Attribute Transfer
A categorical formulation of Kraus' paradox
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
The N-5 Scaling Law: Topological Dimensionality Reduction in the Optimal Design of Fully-actuated Multirotors
On Designing Data Models for Energy Feature Stores
Efficiency through Evolution, A Darwinian Approach to Agent-Based Economic Forecast Modeling
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
On Attack Detection and Identification for the Cyber-Physical System using Lifted System Model
Signal Space Alignment for the Gaussian Y-Channel
Norms, Institutions, and Robots
Routing Number Of A Pyramid
Context-dependent metabolic networks
TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation
ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning
Curvilinear High-Order Mimetic Differences that Satisfy Conservation Laws
Evaluation of Automatic Text Summarization using Synthetic Facts
An Actuator with Magnetic Restoration, Part II: Model Evaluation and Control Loops
Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting
Weakly Supervised Silhouette-based Semantic Change Detection
Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra
ROS Help Desk: GenAI Powered, User-Centric Framework for ROS Error Diagnosis and Debugging
Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
Heterogeneous Multi-task Learning with Expert Diversity
Feedback Stability Analysis via Dissipativity with Dynamic Supply Rates
MTLM: an Innovative Language Model Training Paradigm for ASR
Instance-Based Model Adaptation For Direct Speech Translation
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN
Deep generative-contrastive networks for facial expression recognition
T-LEAP: occlusion-robust pose estimation of walking cows using temporal information
Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning
Second-Order Tensorial Partial Differential Equations on Graphs
Passport: Enabling Accurate Country-Level Router Geolocation using Inaccurate Sources
KCN: Knowledge Centric Networking
AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network
Advancing subgroup fairness via sleeping experts
Automated Machine Learning for Positive-Unlabelled Learning
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories
Fast Training of Recurrent Neural Networks with Stationary State Feedbacks
Deep Learning Enhanced Multivariate GARCH
Co-Investment under Revenue Uncertainty Based on Stochastic Coalitional Game Theory
eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images
Object Navigation with Structure-Semantic Reasoning-Based Multi-level Map and Multimodal Decision-Making LLM
Rapfi: Distilling Efficient Neural Network for the Game of Gomoku
Aquila: A Hierarchically Aligned Visual-Language Model for Enhanced Remote Sensing Image Comprehension
Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
Mapping LiDAR and Camera Measurements in a Dual Top-View Grid Representation Tailored for Automated Vehicles
OVG-HQ: Online Video Grounding with Hybrid-modal Queries
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics
Gyroscope-aided Relative Pose Estimation for Rolling Shutter Cameras
Elementary Cellular Automata as Non-Cryptographic Hash Functions
Edge Deletion to Restrict the Size of an Epidemic
A Pragmatic Approach for Measuring Maintainability of DPRA Models
Can Large Language Models be Used to Provide Psychological Counselling? An Analysis of GPT-4-Generated Responses Using Role-play Dialogues
Data Playwright: Authoring Data Videos with Annotated Narration
Hybrid Autoregressive Transducer (hat)
Acoustic correlates of the syllabic rhythm of speech: Modulation spectrum or local features of the temporal envelope
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
Enhance Multi-domain Sentiment Analysis of Review Texts through Prompting Strategies
Avoiding catastrophic forgetting in mitigating model biases in sentence-pair classification with elastic weight consolidation
On Verifying Designs With Incomplete Specification
Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation
On Scalable Variant of Wasserstein Barycenter
Koopman Form of Nonlinear Systems with Inputs
Provably Overwhelming Transformer Models with Designed Inputs
Probing the Intra-Component Correlations within Fisher Vector for Material Classification
Towards Partial Monitoring: It is Always too Soon to Give Up
Approximation of an optimal control problem for the time-fractional Fokker-Planck equation
On Representing Electronic Wave Functions with Sign Equivariant Neural Networks
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
On the Possibilities of AI-Generated Text Detection
Classifying grounded intersection graphs via ordered forbidden patterns
Performance Evaluation of Bit Division Multiplexing combined with Non-Uniform QAM
Connectivity and Giant Component of Stochastic Kronecker Graphs
Policy Optimization with Model-based Explorations
Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain
DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics
Can Artificial Intelligence Do Everything That We Can?
Of course we share! Testing Assumptions about Social Tagging Systems
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models
Unified Stochastic Geometry Model for MIMO Cellular Networks with Retransmissions
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
Hypermodularity and community detection in higher-order networks
Value function interference and greedy action selection in value-based multi-objective reinforcement learning
On the number of semi-magic squares of order 6
Controllable Sequence Editing for Counterfactual Generation
The Procedural Semantics Gap in Structured CTI: A Measurement-Driven STIX Analysis for APT Emulation
Color Constancy Using CNNs
Protein model quality assessment using rotation-equivariant, hierarchical neural networks
On the numerical approximation of Blaschke-Santaló diagrams using Centroidal Voronoi Tessellations
Future Architecture of the Interplanetary Internet
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Approximating maximum integral multiflows on bounded genus graphs
Learning and coordinating in a multilayer network
Graph-Cover-based Characterization of the Bethe Partition Function of Double-Edge Factor Graphs
Probabilistic Contrastive Loss for Self-Supervised Learning
Inheritance and Blockchain: Thoughts and Open Questions
Simple and Efficient Heterogeneous Temporal Graph Neural Network
Mining Contextualized Visual Associations from Images for Creativity Understanding
Improving COVID-19 CXR Detection with Synthetic Data Augmentation
Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates
Investigation of the Effect of Incidental Fear Privacy Behavioral Intention (Technical Report)
LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review
Go Beyond Multiple Instance Neural Networks: Deep-learning Models based on Local Pattern Aggregation
Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks
SafeDrop: Detecting Memory Deallocation Bugs of Rust Programs via Static Data-Flow Analysis
Phase-Shifting Separable Haar Wavelets and Applications
Requirements of Text Processing Lexicons
Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
Co-audit: tools to help humans double-check AI-generated content
A Crowdsourcing Extension of the ITU-T Recommendation P.835 with Validation
Attention-guided Feature Distillation for Semantic Segmentation
Complexity-entropy causality plane: a useful approach for distinguishing songs
The Pade Approximant Based Network for Variational Problems
Navigation In Urban Environments Amongst Pedestrians Using Multi-Objective Deep Reinforcement Learning
Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition
A toy model for approaching volcanic plumbing systems as complex systems
Reserve Matching with Thresholds
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Exploring Boolean and Non-Boolean Computing Applications of Spin Torque Devices
Online Algorithms for Scheduling Weighted Packets with Deadlines in Bounded Buffers
LocaGen: Sub-Sample Time-Delay Learning for Beam Localization
Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?
An adaptive finite element multigrid solver using GPU acceleration
Motion-Compensated Coding and Frame-Rate Up-Conversion: Models and Analysis
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis
Spatial-Spectral Manifold Embedding of Hyperspectral Data
How many faces can be recognized? Performance extrapolation for multi-class classification
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model
HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes
Towards an architecture for semantic integration of business components
Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification
A Sound and Complete Hoare Logic for Dynamically-Typed, Object-Oriented Programs - Extended Version -
A Uniform Confidence Phenomenon in Deep Learning and its Implications for Calibration
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems