yusuke1997/dblp-id-title huggingface dataset:
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation
A Note on the Complexity of Computing the Smallest Four-Coloring of Planar Graphs
Planning of Fast Charging Infrastructure for Electric Vehicles in a Distribution System and Prediction of Dynamic Price
Music Score Expansion with Variable-Length Infilling
Synthesizing Switching Controllers for Hybrid Systems by Continuous Invariant Generation
Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection
Leveraging Rights of Data Subjects for Social Media Analysis: Studying TikTok via Data Donations
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
LA-RCS: LLM-Agent-Based Robot Control System
Distinctive Fire and Smoke Detection with Self-Similar
Convergence of Hierarchical Clustering and Persistent Homology Methods on Directed Networks
Signatures of small-world and scale-free properties in large computer programs
Some continuity properties of quantum Rényi divergences
An Information-Theoretic Proof of the Kac-Bernstein Theorem
CAVE-AR: A VR User Interface to Interactively Design, Monitor, and Facilitate AR Experiences
A deep-learning view of chemical space designed to facilitate drug discovery
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
Quantum proofs can be verified using only single qubit measurements
The Graph Exploration Problem with Advice
Towards Non-Robocentric Dynamic Landing of Quadrotor UAVs
Proceedings Second International Workshop on Interactions, Games and Protocols, IWIGP 2012, Tallinn, Estonia, 25th March 2012
Unlocking Insights: Semantic Search in Jupyter Notebooks
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
An Integrated System of Drug Matching and Abnormal Approval Number Correction
On the Design Fundamentals of Diffusion Models: A Survey
Hybrid Attribution Priors for Explainable and Robust Model Training
Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
New Constructions of Mutually Orthogonal Complementary Sets and Z-Complementary Code Sets Based on Extended Boolean Functions
Exploring the Robustness of Decentralized Training for Large Language Models
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers
Appearance-Based Gaze Estimation via Gaze Decomposition and Single Gaze Point Calibration
Efficient Identification of High Similarity Clusters in Polygon Datasets
Channels' Confirmation and Predictions' Confirmation: from the Medical Test to the Raven Paradox
Into the Square - On the Complexity of Quadratic-Time Solvable Problems
PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
SG-PBFT: a Secure and Highly Efficient Blockchain PBFT Consensus Algorithm for Internet of Vehicles
On Analyzing the Role of Image for Visual-enhanced Relation Extraction
Merly.jl: Web Framework in Julia
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms
How useful is photo-realistic rendering for visual learning?
One2Avatar: Generative Implicit Head Avatar For Few-shot User Adaptation
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation
FedSyn: Synthetic Data Generation using Federated Learning
Finding Experts in Transformer Models
Response surface single loop reliability-based design optimization with higher-order reliability assessment
Evaluation of Bias Towards Medical Professionals in Large Language Models
Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics
Using Feedback for Secrecy over Graphs
Noise Injection as a Probe of Deep Learning Dynamics
PFLOTRAN-SIP: A PFLOTRAN Module for Simulating Spectral-Induced Polarization of Electrical Impedance Data
Machine learning assist nyc subway navigation safer and faster
Effective Clipart Image Vectorization Through Direct Optimization of Bezigons
A geometric approach to integer factorization
An Extremely Efficient Chess-board Detection for Non-trivial Photos
Bone: Block Affine Transformation as Parameter Efficient Fine-tuning Methods for Large Language Models
RICAU-Net: Residual-block Inspired Coordinate Attention U-Net for Segmentation of Small and Sparse Calcium Lesions in Cardiac CT
CLIP-KOA: Enhancing Knee Osteoarthritis Diagnosis with Multi-Modal Learning and Symmetry-Aware Loss Functions
Pixel-Sensitive and Robust Steganography Based on Polar Codes
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Lattice-Theoretic Progress Measures and Coalgebraic Model Checking (with Appendices)
On the Existence of Anomalies, The Reals Case
pySigLib - Fast Signature-Based Computations on CPU and GPU
Prior Prompt Engineering for Reinforcement Fine-Tuning
Why so? or Why no? Functional Causality for Explaining Query Answers
Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
Analysis, Design, and Fabrication of a High-Gain Low-Profile Metasurface Antenna Using Direct Feeding of Sievenpiper s HIS
Noisy Accelerated Power Method for Eigenproblems with Applications
Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines
The Security Overview and Analysis of 3GPP 5G MAC CE
Interactive Databases for the Life Sciences
A Lyapunov Analysis of Momentum Methods in Optimization
Egalitarian Resource Sharing Over Multiple Rounds
Bio-Inspired 4D-Printed Mechanisms with Programmable Morphology
Wadge Hardness in Scott Spaces and Its Effectivization
An Information-Theoretic Approach for Automatically Determining the Number of States when Aggregating Markov Chains
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators
Motion Prediction of Multi-agent systems with Multi-view clustering
Decision-centric fairness: Evaluation and optimization for resource allocation problems
Quantum spectral analysis: frequency at time
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation
Recovering Robustness in Model-Free Reinforcement learning
MyPDDL: Tools for efficiently creating PDDL domains and problems
Analyticity and sparsity in uncertainty quantification for PDEs with Gaussian random field inputs
Analyzing Inexact Hypergradients for Bilevel Learning
Robust universal neural vocoding
U-DFA: A Unified DINOv2-Unet with Dual Fusion Attention for Multi-Dataset Medical Segmentation
Can the early human visual system compete with Deep Neural Networks?
COMPASS: Context-Modulated PID Attention Steering System for Hallucination Mitigation
De Rham compatible Deep Neural Networks
Swiss Parliaments Corpus Re-Imagined (SPC_R): Enhanced Transcription with RAG-based Correction and Predicted BLEU
Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization
The Sharpe predictor for fairness in machine learning
FedProto: Federated Prototype Learning over Heterogeneous Devices
Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity
Constraint-Based Causal Structure Learning from Undersampled Graphs
Geometry Meets Light: Leveraging Geometric Priors for Universal Photometric Stereo under Limited Multi-Illumination Cues
Context-based Cell Search in Millimeter Wave 5G Networks
High-Bandwidth, Low-Computational Approach: Estimator-Based Control for Hybrid Flying Capacitor Multilevel Converters Using Multi-Cost Gradient Descent and State Feedforward
On the momentum diffusion over multiphase surfaces with meshless methods
ARBAC Policy for a Large Multi-National Bank
MotionCrafter: One-Shot Motion Customization of Diffusion Models
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training
Chasing the Shadows: TTPs in Action to Attribute Advanced Persistent Threats
Energy-Efficient Coordinated Multi-Cell Multigroup Multicast Beamforming with Antenna Selection
Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method
Bag of Tricks for FGSM Adversarial Training
Diffusion Beats Autoregressive in Data-Constrained Settings
Semi-analytical Solutions for Breakage and Aggregation-breakage Equations via Daftardar-Jafari Method
Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016
A macroscopic approach for stress driven anisotropic growth in bioengineered soft tissues
Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs
Demonstration of a Cloud-based Software Framework for Video Analytics Application using Low-Cost IoT Devices
m-Bonsai: a Practical Compact Dynamic Trie
Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting
Shape from Semantics: 3D Shape Generation from Multi-View Semantics
Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise
Static and Dynamic Failure Localization through Progressive Network Tomography
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks
Deep learning based unsupervised concept unification in the embedding space
Heterogeneous Swarms for Maritime Dynamic Target Search and Tracking
Predictive Minds: LLMs As Atypical Active Inference Agents
Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds
Handy Annotations within Oracle 10g
Gibbs sampling for game-theoretic modeling of private network upgrades with distributed generation
Quantifier Instantiations: To Mimic or To Revolt?
A Quadratic Convex Approximation of Optimal Power Flow in Distribution System with Application in Loss Allocation
Poisson Conjugate Prior for PHD Filtering based Track-Before-Detect Strategies in Radar Systems
A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh-Bénard convection
VFArchē: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software
Neuron ranking - an informed way to condense convolutional neural networks architecture
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version
Smile for the Camera: Privacy and Policy Implications of Emotion AI
Task formulation for Extracting Social Determinants of Health from Clinical Narratives
Fast Imbalanced Classification of Healthcare Data with Missing Values
Vibration Analysis of Geometrically Nonlinear and Fractional Viscoelastic Cantilever Beams
Domino Tatami Covering is NP-complete
On The Multiparty Communication Complexity of Testing Triangle-Freeness
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography
Improving Pursuit Algorithms Using Stochastic Resonance
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences
Noncommutative Donoho-Elad-Gribonval-Nielsen-Fuchs Sparsity Theorem
H2 suboptimal containment control of homogeneous and heterogeneous multi-agent systems
Overcoming the order barrier two in splitting methods when applied to semilinear parabolic problems with non-periodic boundary conditions
A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars
Fast Krasnosel'skii-Mann algorithm with a convergence rate of the fixed point iteration of o(1/k)
There Are Fewer Facts Than Words: Communication With A Growing Complexity
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
Legal Case Document Similarity: You Need Both Network and Text
Towards Lingua Franca Named Entity Recognition with BERT
Market Model 3.0: A New Ecosystem for Demand-side Flexibility Aggregators in Denmark
Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing
Two-Dimensional (2D) Particle Swarms for Structure Selection of Nonlinear Systems
ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Machine-Learning Compression for Particle Physics Discoveries
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach
On Neural Differential Equations
Risks and Transaction Costs of Distributed-Ledger Fintech: Boundary Effects and Consequences
Automated Application Processing
A Green Perspective on Wi-Fi Offloading
TeleFMG: A Wearable Force-Myography Device for Natural Teleoperation of Multi-finger Robotic Hands
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
Decoding Human-LLM Collaboration in Coding: An Empirical Study of Multi-Turn Conversations in the Wild
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
Greedy Approach for Low-Rank Matrix Recovery
The role of artificial intelligence in achieving the Sustainable Development Goals
A New Automatic Method to Adjust Parameters for Object Recognition
On the interaction of automatic evaluation and task framing in headline style transfer
Enhancing Distributed Authorization With Lagrange Interpolation And Attribute-Based Encryption
The MUSE Benchmark: Probing Music Perception and Auditory Relational Reasoning in Audio LLMS
Coding for Random Projections and Approximate Near Neighbor Search
Content Replication in Large Distributed Caches
Composite federated learning with heterogeneous data
Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
Conditional CycleGAN for Attribute Guided Face Image Generation
Hgformer: Hyperbolic Graph Transformer for Recommendation
Thinking Before You Speak: A Proactive Test-time Scaling Approach
Identification of Causal Influences in Quantum Processes
Intrinsic filtering on Lie groups with applications to attitude estimation
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
Tracking by Predicting 3-D Gaussians Over Time
Capturing High-order Structures on Motif-based Graph Nerual Networks
Learning class prototypes from Synthetic InSAR with Vision Transformers
Multi-Modal Video Feature Extraction for Popularity Prediction
Semantic Communications: the New Paradigm Behind Beyond 5G Technologies
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Upper Bounds on the Number of Codewords of Some Separating Codes
Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations
Secure Mobile Identities
Online Voting using Point to MultiPoint Quantum Key Distribution via Passive Optical Networks
Generalized Quantum-assisted Digital Signature
Global vs. s-t Vertex Connectivity Beyond Sequential: Almost-Perfect Reductions & Near-Optimal Separations
Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity
Continually learning new languages
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation
Bayesian ECG reconstruction using denoising diffusion generative models
A constant parameterized approximation for hard-capacitated k-means
Adversarial Examples for Unsupervised Machine Learning Models
Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition
Are wearable devices ready for HTTPS? Measuring the cost of secure communication protocols on wearable devices
Model Checking as Control: Feedback Control for Statistical Model Checking of Cyber-Physical Systems
Statistical Topology of Bond Networks with Applications to Silica
Taming the Light: Illumination-Invariant Semantic 3DGS-SLAM
Supervised Sentiment Classification with CNNs for Diverse SE Datasets
Urban Social Media Inequality: Definition, Measurements, and Application
Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing
"Why do so?" - A Practical Perspective on Machine Learning Security
Online Graph Topology Learning from Matrix-valued Time Series
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space
Improved Approximations for Shallow-Light Spanning and Steiner Trees
Excitation allocation for generic identifiability of linear dynamic networks with fixed modules
A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Permutations of context-free and indexed languages
NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation
Better Algorithms for Individually Fair k-Clustering
Detection of Single vs Multiple Antenna Transmission Systems Using Pilot Data
Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation
Analyzing categorical time series with the R package ctsfeatures
Complex-Object Visual Inspection via Multiple Lighting Configurations
XAI Model for Accurate and Interpretable Landslide Susceptibility
Towards vision-based dual arm robotic fruit harvesting
Robust Bayesian Target Value Optimization
Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning
Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
Data augmentation and explainability for bias discovery and mitigation in deep learning
MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
Corrected overlap weight and clustering coefficient
LocRef-Diffusion:Tuning-Free Layout and Appearance-Guided Generation
Power-Area Efficient Serial IMPLY-based 4:2 Compressor Applied in Data-Intensive Applications
A micromechanics-based recurrent neural networks model for path-dependent cyclic deformation of short fiber composites
Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents
Cloud Computing Through Mobile-Learning
Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement
Call Trace and Memory Access Pattern based Runtime Insider Threat Detection for Big Data Platforms
Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection
Self-stabilization Overhead: an Experimental Case Study on Coded Atomic Storage
Artificial Intelligence can facilitate selfish decisions by altering the appearance of interaction partners
Automated Feedback on Student-Generated UML and ER Diagrams Using Large Language Models
Privacy-Preserving CNN Training with Transfer Learning
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Optimum Interference Management in Underlay Inband D2D-Enhanced Cellular Networks
Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions
Comparing Performance and Portability between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs
Two Stages Approach for Tweet Engagement Prediction
RingAuth: Wearable Authentication using a Smart Ring
Spotting Information biases in Chinese and Western Media
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder
Link Failure Detection in Multi-hop Control Networks
Formation of Embedded Microstructures by Thermal Activated Solvent Bonding
Transparent and Fair Profiling in Employment Services: Evidence from Switzerland
Version Age of Information Minimization over Fading Broadcast Channels
Fast state tomography with optimal error bounds
A Note on Hardness of Multiprocessor Scheduling with Scheduling Solution Space Tree
A Direct Parallel-in-Time Quasi-Boundary Value Method for Inverse Space-Dependent Source Problems
ShopList: Programming PDA applications for Windows Mobile using C#
Design of an Efficient Three-Level Buck-Boost Converter in PSIM
Reasoning about Regular Properties: A Comparative Study
Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming
AMP: Authentication of Media via Provenance
Real Time Collision Detection and Identification for Robotic Manipulators
Trainable Associative Memory Neural Networks in a Quantum-Dot Cellular Automata
Multi-Token Enhancing for Vision Representation Learning
Autotuning OpenCL Workgroup Size for Stencil Patterns
AI Fairness in Practice
The Quality of Information: A Weighted Entropy Approach to Near-Optimal Mastermind
Online Training and Pruning of Deep Reinforcement Learning Networks
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting
Does chronology matter in JIT defect prediction? A Partial Replication Study
ProteoKnight: Convolution-based phage virion protein classification and uncertainty analysis
Quantum communication is possible with pure ensemble of entangled states
RoMu4o: A Robotic Manipulation Unit For Orchard Operations Automating Proximal Hyperspectral Leaf Sensing
mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines
Supporting Human Raters with the Detection of Harmful Content using Large Language Models
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution
Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios
Designing for Work with Intelligent Entities: A Review of Perspectives
WiFi Assisted Multi-WiGig AP Coordination for Future Multi-Gbps WLANs
An Efficient Multi-Step Framework for Malware Packing Identification
Test Security in Remote Testing Age: Perspectives from Process Data Analytics and AI
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning
A Novel Energy-Efficient Cross-Layer Design for Scheduling and Routing in 6TiSCH Networks
Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head
Recursive Sparse Pseudo-input Gaussian Process SARSA
A measure of centrality based on the spectrum of the Laplacian
Deep Learning-based Prediction of Electrical Arrhythmia Circuits from Cardiac Motion: An In-Silico Study
A new construction of nonlinear codes via algebraic function fields
Content Enhanced BERT-based Text-to-SQL Generation
Finding Approximate Local Minima for Nonconvex Optimization in Linear Time
Out of the Loop: Problems in the development of next generation community networks
Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches
SAT encodings for sorting networks, single-exception sorting networks and ε-halvers
Replay to Remember: Retaining Domain Knowledge in Streaming Language Models
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users
A Deep Learning Based Workflow for Detection of Lung Nodules With Chest Radiograph
On The Construction of Capacity-Achieving Lattice Gaussian Codes
Proposer selection in EIP-7251
ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D
Ranking Competitors Using Degree-Neutralized Random Walks
SnipSnap: A Joint Compression Format and Dataflow Co-Optimization Framework for Efficient Sparse LLM Accelerator Design
CCSD: Cross-Modal Compositional Self-Distillation for Robust Brain Tumor Segmentation with Missing Modalities
Diffusion-based graph generative methods