yusuke1997/dblp-id-title huggingface dataset:
Im2Pencil: Controllable Pencil Illustration from Photographs
NeuroTrainer: An Intelligent Memory Module for Deep Learning Training
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation
About the "accurate mode" of the IEEE 1788-2015 standard for interval arithmetic
Guiding Development Work Across a Software Ecosystem by Visualizing Usage Data
Food Image Generation on Multi-Noun Categories
Learned multi-patch similarity
Learning Operators with Stochastic Gradient Descent in General Hilbert Spaces
FLAME: Flexible LLM-Assisted Moderation Engine
Automatic time-series phenotyping using massive feature extraction
Monte Carlo modeling photon-tissue interaction using on-demand cloud infrastructure
Self-Citations in Academic Excellence: Analysis of the Top 1% Highly Cited India-Affiliated Research Papers
Summarization-based Data Augmentation for Document Classification
Bayesian Fully-Connected Tensor Network for Hyperspectral-Multispectral Image Fusion
TRAP: Targeted Redirecting of Agentic Preferences
Assessing the Alignment of Audio Representations with Timbre Similarity Ratings
Inter-Slice Mobility Management in 5G: Motivations, Standard Principles, Challenges and Research Directions
On the graphical stability of hybrid solutions with non-matching jump times: Extended Paper
MIND - Mainstream and Independent News Documents Corpus
Do Construction Distributions Shape Formal Language Learning In German BabyLMs?
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
Verifying nondeterministic probabilistic channel systems against $\omega$-regular linear-time properties
Compressed Sensing for Sparse Underwater Channel Estimation: Some Practical Considerations
Multicopter attitude control for recovery from large disturbances
Low-Risk Mechanisms for the Kidney Exchange Game
Geometric Neural Operators (GNPs) for Data-Driven Deep Learning of Non-Euclidean Operators
Constrained Signaling for Welfare and Revenue Maximization
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method
Code generation for generally mapped finite elements
Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results
Probabilistic Guarantees for Practical LIA Loop Invariant Automation
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
What's in the Box: Ergonomic and Expressive Capture Tracking over Generic Data Structures (Extended Version)
Recovery of Low Rank Matrices Under Affine Constraints via a Smoothed Rank Function
On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning
Investigating Cellular Automata Based Network Intrusion Detection System For Fixed Networks (NIDWCA)
A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables
Android Multi-Level System Permission Management Approach
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks
Sequential Hierarchical Least-Squares Programming for Prioritized Non-Linear Optimal Control
Nonlinear Spectral Duality
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
PDF/A-3u as an archival format for Accessible mathematics
Structured Learning of Binary Codes with Column Generation
Radial Basis Operator Networks
Improving and Scaling Trans-dimensional Random Field Language Models
Accurately modeling the Internet topology
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning
LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection
Study on Feature Subspace of Archetypal Emotions for Speech Emotion Recognition
Representing choice functions by a total hyper-order
Leveraging blur information for plenoptic camera calibration
Modified Dijkstra Algorithm with Invention Hierarchies Applied to a Conic Graph
RBT4DNN: Requirements-based Testing of Neural Networks
FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery
A large-scale and fault-tolerant approach of subgraph mining using density-based partitioning
Towards AI Logic for Social Reasoning
Approximation algorithms for scheduling a group of heat pumps
A future mobile packet core network based on ip-in-ip protocol
Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems
Towards sub-millisecond latency real-time speech enhancement models on hearables
Non-asymptotic Error Analysis of Explicit Modified Euler Methods for Superlinear and Non-contractive SODEs
Robust Molecular Property Prediction via Densifying Scarce Labeled Data
A Nested Partitioning Scheme for Parallel Heterogeneous Clusters
Detecting Personality and Emotion Traits in Crowds from Video Sequences
On the Dynamics of Bounded-Degree Automata Networks
KTBox: A Modular LaTeX Framework for Semantic Color, Structured Highlighting, and Scholarly Communication
FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in For\^et Montmorency
Tighter Bounds for Makespan Minimization on Unrelated Machines
MetaCache: Efficient Metadata Caching in Linux file system
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers
Towards Multi-Lingual Visual Question Answering
Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting
Adroitness: An Android-based Middleware for Fast Development of High-performance Apps
Hop-Constrained Oblivious Routing
Measuring Informativeness Gap of (Mis)Calibrated Predictors
Brief Announcement: Decentralized Construction of Multicast Trees Embedded into P2P Overlay Networks based on Virtual Geometric Coordinates
A Comparative Analysis of Instagram and TikTok as Islamic Da'wah Media in the Digital Era
Assessing the performance of correlation-based multi-fidelity neural emulators
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning
Affordance Labeling and Exploration: A Manifold-Based Approach
Biologically Motivated Distributed Designs for Adaptive Knowledge Management
Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance
Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems
Processing Tweets for Cybersecurity Threat Awareness
META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection
PeF: Poisson's Equation Based Large-Scale Fixed-Outline Floorplanning
Optimizing Utility-Scale Solar Siting for Local Economic Benefits and Regional Decarbonization
Learning to Transfer: A Foliated Theory
More Expert-like Eye Gaze Movement Patterns are Related to Better X-ray Reading
Robust Node Representation Learning via Graph Variational Diffusion Networks
TeleScope: A Longitudinal Dataset for Investigating Online Discourse and Information Interaction on Telegram
METAMAT 01: A semi-analytic Solution for Benchmarking Wave Propagation Simulations of homogeneous Absorbers in 1D/3D and 2D
RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations
Land Surface Temperature Super-Resolution with a Scale-Invariance-Free Neural Approach: Application to MODIS
Secure Range Queries for Multiple Users
GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
Convergent Tree-Backup and Retrace with Function Approximation
On the selection of polynomials for the DLP algorithm
Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation
Fundamental Tradeoffs on Green Wireless Networks
Exploration versus exploitation in reinforcement learning: a stochastic control approach
Spectral Domain Neural Reconstruction for Passband FMCW Radars
On the $k$-error linear complexity of binary sequences derived from polynomial quotients
A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems
Autonomous Wall Building with a UGV-UAV Team at MBZIRC 2020
Optimizing Indoor Navigation Policies For Spatial Distancing
SFA: Scan, Focus, and Amplify toward Guidance-aware Answering for Video TextVQA
CompCap: Improving Multimodal Large Language Models with Composite Captions
Thermal RGB Fusion for Micro-UAV Wildfire Perimeter Tracking with Minimal Comms
Proceedings Second Workshop on Synthesis, SYNT 2013, Saint Petersburg, Russia, July 13th and July 14th, 2013
A deep learning model for estimating story points
Probabilistic Inductive Inference:a Survey
Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning
MLPHand: Real Time Multi-View 3D Hand Mesh Reconstruction via MLP Modeling
Posthoc Interpretability of Learning to Rank Models using Secondary Training Data
Multivariate Probabilistic Regression with Natural Gradient Boosting
CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning
Skolemization in Simple Type Theory: the Logical and the Theoretical Points of View
Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation
Axes-parallel unit disk graph recognition is NP-hard
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Multi-Agent Path Finding via Finite-Horizon Hierarchical Factorization
Design and Validation of Safety Cruise Control System for Automobiles
Can Synergy in Triple-Helix Relations be Quantified? A Review of the Development of the Triple-Helix Indicator
Semantic denoising autoencoders for retinal optical coherence tomography
Three dimensional unique identifier based automated georeferencing and coregistration of point clouds in underground environment
Atomic scale nanoelectronics for quantum neuromorphic devices: comparing different materials
Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification
Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation
Worst-Case Analysis of Weber's Algorithm
On Improving Capacity of Full-Duplex Small Cells with D2D
Analysis of Distributed Ledger Technologies for Industrial Manufacturing
Frequency truncated discrete-time system norm
Row-Based Dual Vdd Assignment, for a Level Converter Free CSA Design and Its Near-Threshold Operation
Computing Flowpipe of Nonlinear Hybrid Systems with Numerical Methods
User Scheduling for Coordinated Dual Satellite Systems with Linear Precoding
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles
Spatial second-order positive and asymptotic preserving filtered P N schemes for nonlinear radiative transfer equations
New News : System-2 Fine-tuning for Robust Integration of New Knowledge
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision
Advanced Deep Learning Techniques for Classifying Dental Conditions Using Panoramic X-Ray Images
Mean-square convergence rates of implicit Milstein type methods for SDEs with non-Lipschitz coefficients: applications to financial models
A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction
Stochastic complexity of Bayesian networks
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism
Single-Core Superscalar Optimization of Clifford Neural Layers
Lax Modal Lambda Calculi
Frequency Control Analysis based on Unit Commitment Schemes with High Wind Power Integration: a Spanish Isolated Power System Case Study
A Scale-invariant Generalization of Renyi Entropy and Related Optimizations under Tsallis' Nonextensive Framework
Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization
FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine Collaboration
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
Error-based Knockoffs Inference for Controlled Feature Selection
Stress Bytes: Decoding the Associations between Internet Use and Perceived Stress
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences
Res-Dense Net for 3D Covid Chest CT-scan classification
Comparison of block-based and hybrid-based programming environments in transferring programming skills to text-based environment
Learned Spectral Computed Tomography
Probabilistic Integration
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
Spacetimes with Semantics (III) - The Structure of Functional Knowledge Representation and Artificial Reasoning
Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation
An Efficient Quadratic Penalty Method for a Class of Graph Clustering Problems
The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning
Control Design with Guaranteed Transient Performance: an Approach with Polyhedral Target Tubes
Mainline Automatic Train Horn and Brake Performance Metric
Givers & Receivers perceive handover tasks differently: Implications for Human-Robot collaborative system design
Constrained Non-Monotone Submodular Maximization: Offline and Secretary Algorithms
Schedule Earth Observation satellites with Deep Reinforcement Learning
On the stability of bubble functions and a stabilized mixed finite element formulation for the Stokes problem
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach
Learning Test Traces
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach
The Price-Pareto growth model of networks with community structure
Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery
Generative Adversarial Reduced Order Modelling
MSG score: A Comprehensive Evaluation for Multi-Scene Video Generation
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Quantum optimization for Nonlinear Model Predictive Control
Enabling New HDLs with Agents
On ISI-free Modulations for Diffusion based Molecular Communication
ShapeGen3DCP: A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
Average Outward Flux Skeletons for Environment Mapping and Topology Matching
Abstract Machine as a Model of Content Management Information System
Code-Expanded Random Access for Machine-Type Communications
Human Gaussian Splatting: Real-time Rendering of Animatable Avatars
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Inverting Non-Linear Dimensionality Reduction with Scale-Free Radial Basis Interpolation
COCO: Performance Assessment
The category of networks of ontologies
Continuous Flattening of All Polyhedral Manifolds using Countably Infinite Creases
ETHcavation: A Dataset and Pipeline for Panoptic Scene Understanding and Object Tracking in Dynamic Construction Environments
A genetic algorithm for straight-line embedding of a cycle onto a given set of points inside the general simple polygons
Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage
Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions
Duelling Bandits with Weak Regret in Adversarial Environments
Efficient Query Repair for Aggregate Constraints
SMML estimators for linear regression and tessellations of hyperbolic space
A Visual Analytics Approach to Building Logistic Regression Models and its Application to Health Records
Verifying Strong Eventual Consistency in δ-CRDTs
Performance Analysis of LiDAR-based Graph-SLAM for Autonomous Vehicle in Diverse Typical Driving Scenarios of Hong Kong
Ant Detective: An Automated Approach for Counting Ants in Densely Populated Images and Gaining Insight into Ant Foraging Behavior
Using Deep Reinforcement Learning to solve Optimal Power Flow problem with generator failures
Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning
Spectrum Sharing by Space-Time Waveform Shaping
Relay Assisted Device-to-Device Communication: Approaches and Issues
An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours
Emergence from Emergence: Financial Market Simulation via Learning with Heterogeneous Preferences
Graded Projection Recursion (GPR): A Framework for Controlling Bit-Complexity of Algebraic Packing
Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
Voltage stress minimization by optimal reactive power control
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning
Deep Contrastive Unlearning for Language Models
Efficiently Sampling Interval Patterns from Numerical Databases
A Reproducibility Study of "IP Spoofing Detection in Inter-Domain Traffic"
A Graph Sufficiency Perspective for Neural Networks
Unlocking Stopped-Rotor Flight: Development and Validation of SPERO, a Novel UAV Platform
Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
ϕ ∞ : Clause Purification, Embedding Realignment, and the Total Suppression of the Em Dash in Autoregressive Language Models
SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
Lossy Asymptotic Equipartition property for Networked Data Structures
"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models
Robust Augmentation for Multivariate Time Series Classification
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
Wireless Information and Power Transfer with Full Duplex Relaying
CoMP-Enabled RAN Slicing for Tactile Internet
Simplest random K-satisfiability problem
How Crucial is Transformer in Decision Transformer?
From Tether to Libra: Stablecoins, Digital Currency and the Future of Money
LDNet: End-to-End Lane Detection Approach usinga Dynamic Vision Sensor
On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery
Multi-Objective Mobile Damped Wave Algorithm (MOMDWA): A Novel Approach For Quantum System Control
Walking to Hide: Privacy Amplification via Random Message Exchanges in Network
Integrated modelling of microvibrations induced by Solar Array Drive Mechanism for worst-case end-to-end analysis and robust disturbance estimation
HA-VLN: A Benchmark for Human-Aware Navigation in Discrete-Continuous Environments with Dynamic Multi-Human Interactions, Real-World Validation, and an Open Leaderboard
Gamification and Engagement of Tourists and Residents in Public Transportation
MFA-KWS: Effective Keyword Spotting with Multi-head Frame-asynchronous Decoding
Joint Universal Adversarial Perturbations with Interpretations
Improved Community Detection using Deep Embeddings from Multilayer Graphs
A Comprehensive Incremental and Ensemble Learning Approach for Forecasting Individual Electric Vehicle Charging Parameters
Systematic Literature Reviews in Software Engineering - Enhancement of the Study Selection Process using Cohen's Kappa Statistic
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
On the Effect of Correlation on the Capacity of Backscatter Communication Systems
Modular Extremely Large-Scale Array Communication: Near-Field Modelling and Performance Analysis
Mapping Acceptance: Assessing Emerging Technologies and Concepts through Micro Scenarios
Robust High-Dimensional Linear Regression
Convexification With the Viscocity Term for Electrical Impedance Tomography
A Single Image based Head Pose Estimation Method with Spherical Parameterization
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation
Median Consensus Embedding for Dimensionality Reduction
Shear-flexible geometrically exact beam element based on finite differences
A Puzzle-Based Dataset for Natural Language Inference
Random k-SAT and the Power of Two Choices
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
Computing the Number of Longest Common Subsequences
Generative Data Augmentation for Object Point Cloud Segmentation
ROSA: Robust sparse adaptive channel estimation in the presence of impulsive noises
User fluctuation in communities: a forum case
Breaking Down the Task: A Unit-Grained Hybrid Training Framework for Vision and Language Decision Making
Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks
Conditional Generation of Paired Antibody Chain Sequences through Encoder-Decoder Language Model
Enhanced Precision in Rainfall Forecasting for Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams
An Open Benchmark Dataset for GeoAI Foundation Models for Oil Palm Mapping in Indonesia
Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study
Boundary adjustment of events in clinical named entity recognition
Clinical trial site matching with improved diversity using fair policy learning
Analytic adjoint solution for incompressible potential flows
Randomized Approximations of the Image Set of Nonlinear Mappings with Applications to Filtering
Cross-view Geo-localization with Evolving Transformer
Towards Blockchain-based Multi-Agent Robotic Systems: Analysis, Classification and Applications
Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos
Kinect Calibration and Data Optimization For Anthropometric Parameters
Meta-Learning Reinforcement Learning for Crypto-Return Prediction
Language Reward Modulation for Pretraining Reinforcement Learning
Explicit shading strategies for repeated truthful auctions
Towards Better User Requirements: How to Involve Human Participants in XAI Research
Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition
3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
Simulation Reproducibility of a Chaotic Circuit
CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs
Improving Fingerprint Pore Detection with a Small FCN
Blind Identification of SIMO Wiener Systems based on Kernel Canonical Correlation Analysis
Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Can Alice and Bob be random: a study on human playing zero knowledge protocols
Sparse reconstruction in spin systems I: iid spins
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
A Rule-Based Approach for UI Migration from Android to iOS
Transforming Software Development: Evaluating the Efficiency and Challenges of GitHub Copilot in Real-World Projects
Implicit Inverse Force Identification Method of Acoustic Liquid-structure Interaction Finite Element Model
Experiences with managing data parallel computational workflows for High-throughput Fragment Molecular Orbital (FMO) Calculations
From High-Level Modeling Towards Efficient and Trustworthy Circuits
Resilient Design of 5G Mobile-Edge Computing Over Intermittent mmWave Links
Applying deep learning to classify pornographic images and videos
A Practical Contrastive Learning Framework for Single Image Super-Resolution
Authoring and Living Next-Generation Location-Based Experiences
STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
On Local Domain Symmetry for Model Expansion