yusuke1997/dblp-id-title huggingface dataset:
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
FIDDLE: Reinforcement Learning for Quantum Fidelity Enhancement
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
Robust Reinforcement Learning with Dynamic Distortion Risk Measures
HOComp: Interaction-Aware Human-Object Composition
How Many Tweets DoWe Need?: Efficient Mining of Short-Term Polarized Topics on Twitter: A Case Study From Japan
Efficient Video Object Segmentation with Compressed Video
Recontextualization Mitigates Specification Gaming without Modifying the Specification
Real-time pothole detection with onboard sensors and camera on vehicles
FreeViS: Training-free Video Stylization with Inconsistent References
Towards a better understanding and behavior recognition of inhabitants in smart cities. A public transport case
Learning Action Models: Qualitative Approach
$r$-indexing Wheeler graphs
Improving Depth Estimation using Location Information
DANAA: Towards transferable attacks with double adversarial neuron attribution
NGO-GM: Natural Gradient Optimization for Graphical Models
Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning
Foundations for learning from noisy quantum experiments
Towards Portfolios of Streamlined Constraint Models: A Case Study with the Balanced Academic Curriculum Problem
Algebraic stabilization of a Q 1 -P 0 Lagrangian formulation for frictional contact mechanics with hydraulically active fractures
Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
PageRank model of opinion formation on social networks
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Evaluation of Task Specific Productivity Improvements Using a Generative Artificial Intelligence Personal Assistant Tool
GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention
Privacy-Preserving and Sustainable Contact Tracing Using Batteryless BLE Beacons
Synergistic Network Learning and Label Correction for Noise-robust Image Classification
Deep Active Object Recognition by Joint Label and Action Prediction
A Decentralized Multi-Objective Optimization Algorithm
Data-conforming data-driven control: avoiding premature generalizations beyond data
Generalization In Multi-Objective Machine Learning
Real-World Deployment and Assessment of a Multi-Agent Reinforcement Learning-Based Variable Speed Limit Control System
Attitude Control of Highly Maneuverable Aircraft Using an Improved Q-learning
Information Flow in One-Dimensional Vehicular Ad Hoc Networks
Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation
Folding Simulation of Rigid Origami with Lagrange Multiplier Method
An organized review of key factors for fake news detection
Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering
Small Object Detection for Indoor Assistance to the Blind using YOLO NAS Small and Super Gradients
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
Composite Bayesian Optimization In Function Spaces Using NEON - Neural Epistemic Operator Networks
EngineKGI: Closed-Loop Knowledge Graph Inference
Optimization of Processing Allocation in Vehicular Edge Cloud based Architecture
Towards modelling cost and risks of infrequent events in the cargo screening process
New Optimization Approach Using Clustering-Based Parallel Genetic Algorithm
Automatic Illumination Spectrum Recovery
Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder
Meta-MeTTa: an operational semantics for MeTTa
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Image Segmentation Using Frequency Locking of Coupled Oscillators
Tourist Attractions Recommendation based on Attention Knowledge Graph Convolution Network
Reinforcement Learning for Active Matter
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation
A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra
Coded Caching for a Large Number Of Users
Hybrid Parallel Imaging and Compressed Sensing MRI Reconstruction with GRAPPA Integrated Multi-loss Supervised GAN
Resumptions, Weak Bisimilarity and Big-Step Semantics for While with Interactive I/O: An Exercise in Mixed Induction-Coinduction
Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
SKIntern : Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
Trefftz Functions for Nonlocal Electrostatics
Spline-based neural network interatomic potentials: blending classical and machine learning models
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS
Detecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis
Predicting Customer Churn in World of Warcraft
Quantum Doeblin Coefficients: Interpretations and Applications
Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry
Visual Tracking via Learning Dynamic Patch-based Graph Representation
Balancing transparency, efficiency and security in pervasive systems
Cooperative Multi-Agent Constrained POMDPs: Strong Duality and Primal-Dual Reinforcement Learning with Approximate Information States
Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
Latent Diffusion Model without Variational Autoencoder
Study of Uniform Jitter Mechanism for Metric-based Wireless Routing
Simplify RLHF as Reward-Weighted SFT: A Variational Method
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
Synthèse Comportementale Sous Contraintes de Communication et de Placement Mémoire pour les composants du TDSI
How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models
On Coordinating Collaborative Objects
Level-p-complexity of Boolean functions using Thinning, Memoization, and Polynomials
Operating the Cloud from Inside Out
The (de)biasing effect of GAN-based augmentation methods on skin lesion images
Language Models for Longitudinal Clinical Prediction
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining walls
SAV-based entropy-dissipative schemes for a class of kinetic equations
Semantics-Aware Image to Image Translation and Domain Transfer
The Impacts of Human-Cobot Collaboration on Perceived Cognitive Load and Usability during an Industrial Task: An Exploratory Experiment
Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera
CourtMotion: Learning Event-Driven Motion Representations from Skeletal Data for Basketball
MIPS: a Multimodal Infinite Polymer Sequence Pre-training Framework for Polymer Property Prediction
Randomized Key Encapsulation/Consolidation
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation
Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization
Dropout Prediction in Crowdsourcing Markets
Submodlib: A Submodular Optimization Library
Detect what you want: Target Sound Detection
Proof diagrams for multiplicative linear logic
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation
Car-following Models and Congestion Control with Followerstopper on a Ring-Road under Known Delay - Examining Limit Cycle
Data-Driven Subsynchronous Oscillation Suppression for Renewable Energy Integrated Power Systems Based on Koopman Operator
Statistical physics of loopy interactions: Independent-loop approximation and beyond
Improved OOD Generalization via Conditional Invariant Regularizer
The Five Elements of Flow
Optimizing Quantitative Photoacoustic Imaging Systems: The Bayesian Cramér-Rao Bound Approach
Restricting to the chip architecture maintains the quantum neural network accuracy, if the parameterization is a 2-design
Exact Requirements Engineering for Developing Business Process Models
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition
Joint Total Variation ESTATICS for Robust Multi-Parameter Mapping
What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
Can Language Models be Instructed to Protect Personal Information?
Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation
Projective integration schemes for nonlinear degenerate parabolic systems
Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling
Graph Data Modeling: Molecules, Proteins, & Chemical Processes
Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics
Online Adaptive Probabilistic Safety Certificate with Language Guidance
Social Style Characterization from Egocentric Photo-streams
Differential Private Stream Processing of Energy Consumption
A Gapped Scale-Sensitive Dimension and Lower Bounds for Offset Rademacher Complexity
Supervisory Control Theory with Event Forcing
Sublinear Time Nearest Neighbor Search over Generalized Weighted Manhattan Distance
Sequence Alignment with Dirichlet Process Mixtures
2D Integrated Bayesian Tomography of Plasma Electron Density Profile for HL-3 Based on Gaussian Process
On the Complexity of CSP-based Ideal Membership Problems
Breakpoint: Scalable evaluation of system-level reasoning in LLM code agents
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
Sentiment Analysis on Customer Responses
Evaluating the Efficacy of Online Assessments in Higher Education
Optimal Index Assignment for Multiple Description Scalar Quantization
DaemonSec: Examining the Role of Machine Learning for Daemon Security in Linux Environments
Efficient and robust solvers for a cell-by-cell dual-poroelasticity problem
Virtual staining for 3D X-ray histology of bone implants
REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
Improving Regression Uncertainty Estimates with an Empirical Prior
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG
Investigating Fine- and Coarse-grained Structural Correspondences Between Deep Neural Networks and Human Object Image Similarity Judgments Using Unsupervised Alignment
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions
Constructing Positive Elastic Kernels with Application to Time Series Classification
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
Galaxysearch - Discovering the Knowledge of Many by Using Wikipedia as a Meta-Searchindex
TP Decoding
On the Robustness of Decision Tree Learning under Label Noise
Practical Neural Network Performance Prediction for Early Stopping
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation
BERT's Conceptual Cartography: Mapping the Landscapes of Meaning
Neural Operator Learning for Ultrasound Tomography Inversion
A Topic Modeling Analysis of Stigma Dimensions, Social, and Related Behavioral Circumstances in Clinical Notes Among Patients with HIV
Collision-Free Inverse Kinematics Through QP Optimization (iKinQP)
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays
Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection
Deep learning reconstruction of ultrashort pulses from 2D spatial intensity patterns recorded by an all-in-line system in a single-shot
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning
Symmetric Policy Design for Multi-Agent Dispatch Coordination in Supply Chains
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
Uniform convergence of the smooth calibration error and its relationship with functional gradient
Capsules as viewpoint learners for human pose estimation
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks
LSG Attention: Extrapolation of pretrained Transformers to long sequences
Conversational Question Answering with Reformulations over Knowledge Graph
Interpreting Bias in Large Language Models: A Feature-Based Approach
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features
Voltage Estimation for Diode-Clamped MMC Using Compensated State-Space Model
PRANet: Point Cloud Registration with an Artificial Agent
Efficient, Fair and QoS-Aware Policies for Wirelessly Powered Communication Networks
A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback
JACK2: a new high-level communication library for parallel iterative methods
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification
RLupus: Cooperation through emergent communication in The Werewolf social deduction game
Breaking Generator Symmetry
Cross-Spectral Attention for Unsupervised RGB-IR Face Verification and Person Re-identification
Field Geology with a Wearable Computer: First Results of the Cyborg Astrobiologist System
Is it possible to know cosmological fine-tuning?
WOR and p's: Sketches for 𝓁 p -Sampling Without Replacement
Tasks, Time, and Tools: Quantifying Online Sensemaking Efforts Through a Survey-based Study
Density of rational languages under shift invariant measures
Euclidean and Affine Curve Reconstruction
Self-restricting Noise and Quantum Relative Entropy Decay
Parameter Efficient Continual Learning with Dynamic Low-Rank Adaptation
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
A Neural Network-based Multi-timestep Command Governor for Nonlinear Systems with Constraints
Dictionary-free Koopman Predictive Control for Autonomous Vehicles in Mixed Traffic
The Adini finite element on locally refined meshes
Dynamical, value-based decision making among N options
Immunity and Pseudorandomness of Context-Free Languages
Side-by-side first-price auctions with imperfect bidders
Gotta catch 'em all: a Multistage Framework for honeypot fingerprinting
Coupled Physics-informed Neural Networks for Inferring Solutions of Partial Differential Equations with Unknown Source Terms
eCAR: edge-assisted Collaborative Augmented Reality Framework
AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs
PhysFire-WM: A Physics-Informed World Model for Emulating Fire Spread Dynamics
A Survey on Security Issues in Cloud Computing
News Cover Assessment via Multi-task Learning
On the optimal frequency selectivity to maximize multiuser diversity in an OFDMA scheduling system
Statistical Foundation Behind Machine Learning and Its Impact on Computer Vision
Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models
Evaluation of an AI System for the Detection of Diabetic Retinopathy from Images Captured with a Handheld Portable Fundus Camera: the MAILOR AI study
A tutorial on MDL hypothesis testing for graph analysis
The XML and Semantic Web Worlds: Technologies, Interoperability and Integration. A Survey of the State of the Art
Deep Synthetic Minority Over-Sampling Technique
Chain-of-Thought Prompt Distillation for Multimodal Named Entity and Multimodal Relation Extraction
ToxVidLLM: A Multimodal LLM-based Framework for Toxicity Detection in Code-Mixed Videos
CRMWeaver: Building Powerful Business Agent via Agentic RL and Shared Memories
Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Are Protein Language Models Compute Optimal?
Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
DS4RS: Community-Driven and Explainable Dataset Search Engine for Recommender System Research
Computing the Volume of a Restricted Independent Set Polytope Deterministically
Engineering AI Judge Systems
Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning
Vectorized Attention with Learnable Encoding for Quantum Transformer
Joint DOA and Frequency Estimation with Sub-Nyquist Sampling for More Sources than Sensors
End-to-end Learning of Driving Models from Large-scale Video Datasets
Evaluation of Traffic Signals for Daily Traffic Pattern
Rectify and Align GPS Points to Parking Spots via Rank-1 Constraint
MATCASC: A tool to analyse cascading line outages in power grids
Integration of Probabilistic Uncertain Information
Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center
Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers
Sparsity-Promoting Sensor Selection for Non-linear Measurement Models
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning
Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block
Selective Sampling and Mixture Models in Generative Adversarial Networks
An Exponential Stochastic Runge-Kutta Type Method of Order up to 1.5 for SPDEs of Nemytskii-type
Scaling Optimal LR Across Token Horizon
GeneticPrism: Multifaceted Visualization of Scientific Impact Evolutions
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
Fair distributions for more participants than allocations
Channel-Wise Contrastive Learning for Learning with Noisy Labels
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks
Linearly-growing Reductions of Karp's 21 NP-complete Problems
Towards General Distributed Resource Selection
Multichannel consecutive data cross-extraction with 1DCNN-attention for diagnosis of power transformer
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
Learning Local Features with Context Aggregation for Visual Localization
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning
Multifunctional physical reservoir computing in soft tensegrity robots
Probabilities to accept languages by quantum finite automata
Dictionary-Transform Generative Adversarial Networks
Approximating Human Preferences Using a Multi-Judge Learned System
Finding an Effective Classification Technique to Develop a Software Team Composition Model
Row Impartial Terminus
Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks
Modeling and Simulation of Inelastic Effects in Composite Cables
Designing and Analysis of A Wi-Fi Data Offloading Strategy Catering for the Preference of Mobile Users
The Paradox Of Just-in-Time Liquidity in Decentralized Exchanges: More Providers Can Sometimes Mean Less Liquidity
BER for recommendations based on local popularity
Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
An Improved Reversible Data Hiding Algorithm Based on Reconstructed Mapping for PVO-k
On a tracial version of Haemers bound
Improved Lower Bounds for Monotone q-Multilinear Boolean Circuits
Multi-Dialect Arabic BERT for Country-Level Dialect Identification
A Nonconforming Finite Element Method for Elliptic Interface Problems on Locally Anisotropic Meshes
Satellite- and Cache-assisted UAV: A Joint Cache Placement, Resource Allocation, and Trajectory Optimization for 6G Aerial Networks
Time4sys2imi: A tool to formalize real-time system models under uncertainty
Research on data integration of overseas discrete archives from the perspective of digital humanties
LOST: Low-rank and Sparse Pre-training for Large Language Models
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations
FacEDiT: Unified Talking Face Editing and Generation via Facial Motion Infilling
Secrecy Degrees of Freedom of MIMO Broadcast Channels with Delayed CSIT
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
Symplectic Neural Networks Based on Dynamical Systems
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
ACE: Attentional Concept Erasure in Diffusion Models
On M2M communications standards for smart metering
Runtime Analysis of a Multi-Valued Compact Genetic Algorithm on Generalized OneMax
Reasoning-Finetuning Repurposes Latent Representations in Base Models
Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy
Energy Efficient Ant Colony Algorithms for Data Aggregation in Wireless Sensor Networks
Risk-averse learning with delayed feedback
How far can we go without convolution: Improving fully-connected networks
CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment
Attribute reduction algorithm of rough sets based on spatial optimization
The nature of individual choice: a formalism for utility function based on set theory
On computational complexity of Riemann mapping
Learning to detect dysarthria from raw speech
A Structured View on Weighted Counting with Relations to Counting, Quantum Computation and Applications
Graph Metrics for Temporal Networks
DYAN: A Dynamical Atoms Network for Video Prediction
Towards Managing Industrial Robot Fleets with Hyperledger Fabric Blockchain and ROS 2
A Language for Function Signature Representations
Identity Aging: Efficient Blockchain Consensus
The MST of Symmetric Disk Graphs (in Arbitrary Metrics) is Light
A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets
Kripke Semantics for Fuzzy Logics
CogCompTime: A Tool for Understanding Time in Natural Language Text
Analysis of Heterogeneous Structures of Non-separated Scales on Curved Bridge Nodes
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems
Deep Physiological State Space Model for Clinical Forecasting
BeetleVerse: A study on taxonomic classification of ground beetles
The Missing Link: Allocation Performance in Causal Machine Learning
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Proprioceptive Sonomyographic Control: A novel method of intuitive proportional control of multiple degrees of freedom for upper-extremity amputees
Social Bias in Popular Question-Answering Benchmarks