yusuke1997/dblp-id-title huggingface dataset:
An Automatic Attribute Based Access Control Policy Extraction from Access Logs
Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
On-line Learning with Abstention
Dewey Long Context Embedding Model: A Technical Report
Imposing Regulation on Advanced Algorithms
Fast Incremental Method for Nonconvex Optimization
3Deformer: A Common Framework for Image-Guided Mesh Deformation
Prototype Augmented Hypernetworks for Continual Learning
A Hough Transform Approach to Solving Linear Min-Max Problems
Eight Methods to Evaluate Robust Unlearning in LLMs
Satellite to Street : Disaster Impact Estimator
Cyberattack Detection in Critical Infrastructure and Supply Chains
Formative Assessment and its E-learning Implementation
Assessing Data Augmentation-Induced Bias in Training and Testing of Machine Learning Models
State of the Practice for Medical Imaging Software
A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network
On the Fixed Point Property in Reflexive Banach Spaces
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center study
Self-Driving Vehicle Verification Towards a Benchmark
Beyond Keywords: Driving Generative Search Engine Optimization with Content-Centric Agents
MagnifierSketch: Quantile Estimation Centered at One Point
kappa_SQ: A Matlab package for randomized sampling of matrices with orthonormal columns
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation
Integrated Visualization of Patient Data
MyLibrary: A Model for Implementing a User-centered, Customizable Interface to a Library's Collection of Information Resources
EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for Automated Scoring of CEFR B2 Speaking Assessment Transcripts
Video or Image Transmission Security for ESP-EYE IoT device used in Business Processes
Sample selection with noise rate estimation in noise learning of medical image analysis
Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
Optimally Solving Colored Generalized Sliding-Tile Puzzles: Complexity and Bounds
The two sides of the Environmental Kuznets Curve: a socio-semantic analysis
Specification Construction Using Behaviours, Equivalences, and SMT Solvers
Hands-Free Heritage: Automated 3D Scanning for Cultural Heritage Digitization
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
Testable Likelihoods for Beyond-the-Standard Model Fits
Joint or Disjoint: Mixing Training Regimes for Early-Exit Models
Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System
Design and Realization of a Scalable Simulator of Magnetic Resonance Tomography
Sets of Low Correlation Sequences from Cyclotomy
Improving RNN Transducer With Target Speaker Extraction and Neural Uncertainty Estimation
Formulation of Weighted Average Smoothing as a Projection of the Origin onto a Convex Polytope
Strong direct product conjecture holds for all relations in public coin randomized one-way communication complexity
BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects
Bijections from Dyck and Motzkin meanders with catastrophes to pattern avoiding Dyck paths
Distance-wise Graph Contrastive Learning
FINDER: Feature Inference on Noisy Datasets using Eigenspace Residuals
Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
Distributed, communication-efficient, and differentially private estimation of KL divergence
LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs
Re-route Package Pickup and Delivery Planning with Random Demands
Efficient Avoidance of Ellipsoidal Obstacles with Model Predictive Control for Mobile Robots and Vehicles
Stable, scalable, decentralized P2P file sharing with non-altruistic peers
StampNet: unsupervised multi-class object discovery
Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation
Latent Planning via Embedding Arithmetic: A Contrastive Approach to Strategic Reasoning
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation
TexRel: a Green Family of Datasets for Emergent Communications on Relations
On the Burstiness of Distributed Machine Learning Traffic
Coordinated Control of Autonomous Vehicles for Traffic Density Reduction at a Signalized Junction: An MPC Approach
Risk-Sensitive Mean Field Games
Cellular Connectivity for UAVs: Network Modeling, Performance Analysis and Design Guidelines
Hearing the shape of an arena with spectral swarm robotics
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Scaling crossover of the generalized Jeffreys-type law
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction
Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization
Online Learning of Dynamical Systems: An Operator Theoretic Approach
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
Design and Performance Analysis of hybrid adders for high speed arithmetic circuit
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
Random Binary Mappings for Kernel Learning and Efficient SVM
Longitudinal change in language behaviour during protests: A case study of Euromaidan in Ukraine
Alignment- and reference-free phylogenomics with colored de-Bruijn graphs
Spotlight Session on Autonomous Weapons Systems at ICRC 34th International Conference
Corrected Trapezoidal Rules for Near-Singular Surface Integrals Applied to 3D Interfacial Stokes Flow
Automated Smartphone based System for Diagnosis of Diabetic Retinopathy
Pruning Before Training May Improve Generalization, Provably
A Neural Dynamic Model based on Activation Diffusion and a Micro-Explanation for Cognitive Operations
OpenVanilla - A Non-Intrusive Plug-In Framework of Text Services
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models
Improvement of the Han-Kobayashi Rate Region for General Interference Channel
Zero-Shot Interactive Text-to-Image Retrieval via Diffusion-Augmented Representations
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization
Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design
Deep auxiliary learning for visual localization using colorization task
Examining the Robustness of Homogeneity Bias to Hyperparameter Adjustments in GPT-4
Reference Based Color Transfer for Medical Volume Rendering
Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models
Numerical methods and hypoexponential approximations for gamma distributed delay differential equations
Holonorm
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users
Deep Networks are Reproducing Kernel Chains
Patterns in the Transition From Founder-Leadership to Community Governance of Open Source
Natural Scene Image Segmentation Based on Multi-Layer Feature Extraction
Using cognitive psychology to understand GPT-3
Design to automate the detection and counting of Tuberculosis(TB) bacilli
InceptionTime vs. Wavelet - A comparison for time series classification
Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models
A Robust Independence Test for Constraint-Based Learning of Causal Structure
Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding
Arabidopsis roots segmentation based on morphological operations and CRFs
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization
Random feature neural networks learn Black-Scholes type PDEs without curse of dimensionality
AMS-Sampling in Distributed Monitoring, with Applications to Entropy
Electre Tree A Machine Learning Approach to Infer Electre Tri B Parameters
Complexity Analysis of Approaching Clinical Psychiatry with Predictive Analytics and Neural Networks
Second Order Value Iteration in Reinforcement Learning
Adaptive Deep Learning through Visual Domain Localization
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning
Abstract Markov Random Fields
Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation
Cyberattack Detection using Deep Generative Models with Variational Inference
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling
SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding
The Role of Confidence for Trust-based Resilient Consensus (Extended Version)
Giallar: Push-Button Verification for the Qiskit Quantum Compiler
Communication Efficient Parallel Reinforcement Learning
Real-time Emotion and Gender Classification using Ensemble CNN
Extending Explainable Boosting Machines to Scientific Image Data
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions
Hierarchical Control for Vehicle Repositioning in Autonomous Mobility on Demand Systems
AMMSE Optimization for Multiuser MISO Systems with Imperfect CSIT and Perfect CSIR
Mathematical Modeling for Network Upgrades in Internet Service Provider Infrastructure
Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR
Blind Image Deblurring by Spectral Properties of Convolution Operators
Balancing Selection Pressures, Multiple Objectives, and Neural Modularity to Coevolve Cooperative Agent Behavior
Self-Supervised Any-Point Tracking by Contrastive Random Walks
Finite Element Integration with Quadrature on the GPU
Distributed Sparsest Cut via Eigenvalue Estimation
Serinv: A Scalable Library for the Selected Inversion of Block-Tridiagonal with Arrowhead Matrices
Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer
Improving Document Binarization via Adversarial Noise-Texture Augmentation
Towards a Methodology for Participant Selection in Software Engineering Experiments. A Vision of the Future
Examining the Landscape of Digital Safety and Privacy Assistance for Black Communities
Secure Expansion of Energy Storage and Transmission Lines Considering Bundling Option Under Renewable Penetration
Permutohedral Lattice CNNs
Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks
Self-support topology optimization considering distortion and overheating for metal additive manufacturing
Automated and Scalable SEM Image Analysis of Perovskite Solar Cell Materials via a Deep Segmentation Framework
Identify and understand pay-it-forward reciprocity using millions of online red packets
Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework
A spectral method for solving heat and moisture transfer through consolidated porous media
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and LSTM Networks
StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning
Computing the Barnes G-function in the entire complex plane
Trace-Distance based End-to-End Entanglement Fidelity with Information Preservation in Quantum Networks
A gambling interpretation of some quantum information-theoretic quantities
Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps
Deriving pairwise transfer entropy from network structure and motifs
Barycentric rational approximation for learning the index of a dynamical system from limited data
A Quantum Annealing Approach to Reduce Covid-19 Spread on College Campuses
Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction
CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation
Immersive virtual reality methods in cognitive neuroscience and neuropsychology: Meeting the criteria of the National Academy of Neuropsychology and American Academy of Clinical Neuropsychology
Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes
Deep Learning Optimization of Two-State Pinching Antennas Systems
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields
Parallel Constraint-Driven Inductive Logic Programming
A New Result on the Random Residue Sequence Algorithm
A posteriori error estimates for a distributed optimal control problem of the stationary Navier-Stokes equations
Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty
Boundedness-Preserving Implicit Correction of Mesh-Induced Errors for VoF Based Heat and Mass Transfer
Approximate policy iteration using neural networks for storage problems
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
A Flux-Differencing Formula for Split-Form Summation By Parts Discretizations of Non-Conservative Systems: Applications to Subcell Limiting for magneto-hydrodynamics
Hesse's Redemption: Efficient Convex Polynomial Programming
Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education
FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications
Challenges of Designing and Developing Tangible Interfaces for Mental Well-being
Pointer Life Cycle Types for Lock-Free Data Structures with Memory Reclamation
Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis
An Audio-Visual Attention Based Multimodal Network for Fake Talking Face Videos Detection
A first approach for a possible cellular automaton model of fluids dynamics
iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning
Leveraging tagging and rating for recommendation: RMF meets weighted diffusion on tripartite graphs
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images
Universal limitations on quantum key distribution over a network
Methodology for Simulation-based Comparison of Algorithms for Distributed Mutual Exclusion
Exploiting Features for Data Source Quality Estimation
A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
Entropy of the Conditional Expectation under Gaussian Noise
Aligning Explanations with Human Communication
Manageable to unmanageable transition in a fractal model of project networks
A universally verifiable, software independent, bare-handed voting protocol
Proof nets for Herbrand's Theorem
H2RSVLM: Towards Helpful and Honest Remote Sensing Large Vision Language Model
A Machine Learning Approach to Safer Airplane Landings: Predicting Runway Conditions using Weather and Flight Data
A Unified Theory for Transient Synchronization Stability Analysis of Renewable Dominated Power Systems
Exploring the Sector-Specific Influence and Response of AI Tools: A Critical Review
Towards socially-competent and culturally-adaptive artificial agents Expressive order, interactional disruptions and recovery strategies
An Optimized and Scalable Eigensolver for Sequences of Eigenvalue Problems
Generalized Riemann Problem Method for the Kapila Model of Compressible Multiphase Flows I: Temporal-Spatial Coupling Finite Volume Scheme
LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants
Graph Neural Networks for Graphs with Heterophily: A Survey
Analog Physical Systems Can Exhibit Double Descent
Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings
Linear Phase Retrieval for Near-Field Measurements with Locally Known Phase Relations
A Characterization of Max-Min SIR-Balanced Power Allocation with Applications
Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning
Data-Driven Control Of Power Converters
Loss Function Entropy Regularization for Diverse Decision Boundaries
Conditions for tractability of the weighted L p -discrepancy and integration in non-homogeneous tensor product spaces
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study
OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs
Geometrically exact beam elements and smooth contact schemes for the modeling of fiber-based materials and structures
Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet
A Framework for Measuring the Quality of Infrastructure-as-Code Scripts
LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation
Bimodal Camera Pose Prediction for Endoscopy
Prerequisite-driven Q-matrix Refinement for Learner Knowledge Assessment: A Case Study in Online Learning Context
Machine Learning Based Crackle Detection in Lung Sounds
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation
Scalable and Efficient Methods for Uncertainty Estimation and Reduction in Deep Learning
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing
Towards A Time Based Video Search Engine for Al Quran Interpretation
Energy-Aware Random Access Networks: Connection-Based versus Packet-Based
Fast Ramsey Quantifier Elimination in LIRA (with applications to liveness checking)
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
Exploring Over-stationarization in Deep Learning-based Bus/Tram Arrival Time Prediction: Analysis and Non-stationary Effect Recovery
On the convex geometry of blind deconvolution and matrix completion
Privacy-Preserving Quantum Two-Party Geometric Intersection
Integer multiplication is at least as hard as matrix transposition
Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning
Prompting the E-Brushes: Users as Authors in Generative AI
Graph Pre-Training Models Are Strong Anomaly Detectors
Motion Deblurring for Light Fields
Automatic Tuning of Local Memory Use on GPGPUs
An Effective Round Robin Algorithm using Min-Max Dispersion Measure
Online monitoring for safe pedestrian-vehicle interactions
Text-Guided Semantic Image Encoder
Diffusion Generative Modelling for Divide-and-Conquer MCMC
Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception
CAD: Memory Efficient Convolutional Adapter for Segment Anything
Prutor: A System for Tutoring CS1 and Collecting Student Programs for Analysis
A Benchmark Dataset for Micro-video Thumbnail Selection
Deep Reinforcement Learning for Task-driven Discovery of Incomplete Networks
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding
SAC-MoE: Reinforcement Learning with Mixture-of-Experts for Control of Hybrid Dynamical Systems with Uncertainty
Understanding Memory Access Patterns Using the BSC Performance Tools
Deep Structured learning for mass segmentation from Mammograms
Computing spectral measures of self-adjoint operators
Nonhomogeneous patterns on numerical semigroups
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration
Self-supervised similarity models based on well-logging data
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
Alchemy: Techniques for Rectification Based Irregular Scene Text Recognition
Learning-Based Approaches for Graph Problems: A Survey
Error analysis for a finite element approximation of the steady p(·)-Navier-Stokes equations
IXGS-Intraoperative 3D Reconstruction from Sparse, Arbitrarily Posed Real X-rays
Multiple Parameter Estimation With Quantized Channel Output
Do Successful Researchers Reach the Self-Organized Critical Point?
Suporte à Mobilidade em Redes Mesh Sem Fio: estratégias comuns versus SDN
Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping
Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning
Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift
Fully adaptive structure-preserving hyper-reduction of parametric Hamiltonian systems
Demystifying ARM SME to Optimize General Matrix Multiplications
WaveletInception Networks for Drive-by Vibration-Based Infrastructure Health Monitoring
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction
Feature Space Modeling Through Surrogate Illumination
A Robust Compressive Quantum State Tomography Algorithm Using ADMM
Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech
A New Stability Result for the Feedback Interconnection of Negative Imaginary Systems with a Pole at the Origin
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
Wireless Compressive Sensing Over Fading Channels with Distributed Sparse Random Projections
Evaluating the Feasibility of Standard Facial Expression Recognition in Individuals with Moderate to Severe Intellectual Disabilities
Autoformalization of Game Descriptions using Large Language Models
Validation of a simulation model for FaaS performance benchmarking using predictive validation
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR
An algebraic multigrid method based on an auxiliary topology with edge matrices
Stability of Graph Convolutional Neural Networks to Stochastic Perturbations
Privacy-Preserving Multi-Document Summarization
Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model
Instance Performance Difference: A Metric to Measure the Sim-To-Real Gap in Camera Simulation
Elevating Styled Mahjong Agents with Learning from Demonstration
Efficient Few-Shot Clinical Task Adaptation with Large Language Models
Introduction to Ultra Reliable and Low Latency Communications in 5G
Towards Automatic Evaluation and High-Quality Pseudo-Parallel Dataset Construction for Audio Editing: A Human-in-the-Loop Method
Robust Task Offloading for UAV-enabled Secure MEC Against Aerial Eavesdropper
Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence
Decision Feedback Based Scheme for Slepian-Wolf Coding of sources with Hidden Markov Correlation
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments
BRISC-V Emulator: A Standalone, Installation-Free, Browser-Based Teaching Tool
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates
An algorithm to verify local threshold testability of deterministic finite automata
ECG Classification with a Convolutional Recurrent Neural Network
Permutation Complexity Related to the Letter Doubling Map
Network Growth with Feedback