yusuke1997/dblp-id-title huggingface dataset:
TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning
360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes
Mitosis detection in domain shift scenarios: a Mamba-based approach
A virtual airplane for fear of flying therapy
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Understanding the Issues and Causes in WebAssembly Application Development: A Mining-based Study
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
Robotic Shepherding in Cluttered and Unknown Environments using Control Barrier Functions
Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns
High-precision target positioning system for unmanned vehicles based on binocular vision
An Outer-approximation Guided Optimization Approach for Constrained Neural Network Inverse Problems
The SAT solving method as applied to cryptographic analysis of asymmetric ciphers
Timeline Generation: Tracking individuals on Twitter
Analysis of the Decoder Width for Parametric Partial Differential Equations
Coarse-graining Complex Networks for Control Equivalence
The Ties that Bind Networks: Weak Ties Facilitate the Emergence of Collective Memories
Cached Transformers: Improving Transformers with Differentiable Memory Cache
An efficient hierarchical graph based image segmentation
Bounding the Bias of Tree-Like Sampling in IP Topologies
Vertex-Based Localization of generalized Turán Problems
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
Dependence Measures Bounding the Exploration Bias for General Measurements
Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control
A Reproducible Workflow for Scraping, Structuring, and Segmenting Legacy Archaeological Artifact Images
Machine Learning in Acoustics: A Review and Open-Source Repository
Performance and Programming Effort Trade-offs of Android Persistence Frameworks
Mastering Music Instruments through Technology in Solo Learning Sessions
A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
Fine-grained 3D object recognition: an approach and experiments
Ensembling Portfolio Strategies for Long-Term Investments: A Distribution-Free Preference Framework for Decision-Making and Algorithms
Bugs in Large Language Models Generated Code: An Empirical Study
Understanding the network formation pattern for better link prediction
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation
Using Argumentation Schemes to Model Legal Reasoning
Cross-Modal Mapping: Eliminating the Modality Gap for Few-Shot Image Classification
Highly Parallel Sparse Matrix-Matrix Multiplication
On properties of a semi-explicit in time fourth-order vector compact scheme for the multidimensional acoustic wave equation
Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
Analysis of a mixed discontinuous Galerkin method for the time-harmonic Maxwell equations with minimal smoothness requirements
DATE: Domain Adaptive Product Seeker for E-commerce
Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches
Query complexities of quantum channel discrimination and estimation: A unified approach
An improvement of the upper bound for GKS communication game
Construction of (σ, δ)-cyclic codes over a non-chain ring and their applications in DNA codes
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection
cHyRRT and cHySST: Two Motion Planning Tools for Hybrid Dynamical Systems
DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands
HetHub: A Heterogeneous distributed hybrid training system for large-scale models
First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods
Domain Specific Author Attribution Based on Feedforward Neural Network Language Models
Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks
High order splitting methods for SDEs satisfying a commutativity condition
Uncertainty-Based Knowing How Logic
Robust Model Predictive Control Design for Autonomous Vehicles with Perception-based Observers
The Perception of Humanoid Robots for Domestic Use in Saudi Arabia
MaLei at MultiClinSUM: Summarisation of Clinical Documents using Perspective-Aware Iterative Self-Prompting with LLMs
Multilingual Attribute Extraction from News Web Pages
Defending Against Malicious Behaviors in Federated Learning with Blockchain
Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
Condensed Generalized Finite Element Method (CGFEM)
Multivariate f-Divergence Estimation With Confidence
Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
Responsible AI in Healthcare
Investigating Deep-Learning NLP for Automating the Extraction of Oncology Efficacy Endpoints from Scientific Literature
FlexIO: Flexible Single- and Multi-Channel Speech Separation and Enhancement
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Quantum Secret Sharing Rates
Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values
MeVe: A Modular System for Memory Verification and Effective Context Control in Language Models
S3Simulator: A benchmarking Side Scan Sonar Simulator dataset for Underwater Image Analysis
Natural Language Person Search Using Deep Reinforcement Learning
Outbound Modeling for Inventory Management
Performance Analysis and Improvement of Parallel Differential Evolution
Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network
Development of Active Pixel Photodiode Sensors for Gamma Camera Application
PruneX: A Hierarchical Communication-Efficient System for Distributed CNN Training with Structured Pruning
Random Coordinate Descent for Resource Allocation in Open Multi-Agent Systems
Accelerating Atomic Fine Structure Determination with Graph Reinforcement Learning
Auto deep learning for bioacoustic signals
Learning dynamically inspired invariant subspaces for Koopman and transfer operator approximation
Calc-X: Enriching Arithmetical Chain-of-Thoughts Datasets by Interaction with Symbolic Systems
The Design and Implementation of Modern Online Programming Competitions
Security against false data injection attack in cyber-physical systems
Topology-Aware Node Selection for Data Regeneration in Heterogeneous Distributed Storage Systems
Handle Object Navigation as Weighted Traveling Repairman Problem
Capsule Neural Networks as Noise Stabilizer for Time Series Data
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
Modelling and simulation of a commercially available dielectric elastomer actuator
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Data Depth as a Risk
Romantic Partnerships and the Dispersion of Social Ties: A Network Analysis of Relationship Status on Facebook
Flatness-based Deformation Control of an Euler-Bernoulli Beam with In-domain Actuation
Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning
BIOMERO 2.0: end-to-end FAIR infrastructure for bioimaging data import, analysis, and provenance
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization
Approximating the partition function of the ferromagnetic Potts model
Automatic Anomalies Detection in Hydraulic Devices
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks
Market efficiency, anticipation and the formation of bubbles-crashes
Metacognitive Decision Making Framework for Multi-UAV Target Search Without Communication
Behavioral Generative Agents for Energy Operations
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study
SNOOPI: Supercharged One-step Diffusion Distillation with Proper Guidance
UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low vision
A Game Theoretic Approach for Demand Response Allocation among Strategic Prosumers in Regulated Distribution Utilities
Security of OS-level virtualization technologies: Technical report
Performance Evaluation of Microservices Architectures using Containers
A Geometric Reduction Approach for Identity Testing of Reversible Markov Chains
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities
idris-ct: A Library to do Category Theory in Idris
A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series
Model-based Exception Mining for Object-Relational Data
MMIL: A novel algorithm for disease associated cell type discovery
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias
Integer Programming Games: A Gentle Computational Overview
Practical Estimation of Renyi Entropy
Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation
A Data-driven Study of View Duration on YouTube
Fair Energy Allocation in Risk-aware Energy Communities
Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study
LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation
Error estimate for semi-implicit method of sphere-constrained high-index saddle dynamics
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning
ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
Asymptotic structure of cosmological fluid flows in one and two space dimensions: a numerical study
Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management
Window-Based Feature Engineering for Cognitive Workload Detection
Optimal Network Compression
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Two are better than one: Context window extension with multi-grained self-injection
TARG: Training-Free Adaptive Retrieval Gating for Efficient RAG
What Matters in Deep Learning for Time Series Forecasting?
Facial Attributes: Accuracy and Adversarial Robustness
Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs
RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks
The Principles of Human-like Conscious Machine
Optical Tactile Sensing for Aerial Multi-Contact Interaction: Design, Integration, and Evaluation
Zero-bias autoencoders and the benefits of co-adapting features
Rainbow variations on a theme by Mantel: extremal problems for Gallai colouring templates
Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems
EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models
Sparse Codesigned Communication and Radar Systems
Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n 2 )-type of Risk Bounds
Scaling Embedding Layers in Language Models
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Routing Arena: A Benchmark Suite for Neural Routing Solvers
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning
A Secure Sequencer and Data Availability Committee for Rollups (Extended Version)
Optimal Intervention in Economic Networks using Influence Maximization Methods
The Attack as Intuitionistic Negation
Multi-level Adaptation for Automatic Landing with Engine Failure under Turbulent Weather
Platonic Grounding for Efficient Multimodal Language Models
FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications
Stable Throughput Region of Cognitive-Relay Networks with Imperfect Sensing and Finite Relaying Buffer
General In-Hand Object Rotation with Vision and Touch
Merging the Astrophysics and Planetary Science Information Systems
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval
The Gaussian multiple access wire-tap channel: wireless secrecy and cooperative jamming
Hybrid High-Order methods for finite deformations of hyperelastic materials
Transformer on Shuttlecock Flying Direction Prediction for Hit-frame Detection
Evaluating LLMs in Medicine: A Call for Rigor, Transparency
The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks
Random intersection graphs and their applications in security, wireless communication, and social networks
First Stretch then Shrink and Bulk: A Two Phase Approach for Enumeration of Maximal $(Δ, γ)$\mbox{-}Cliques of a Temporal Network
Data-driven Exponential Framing for Pulsive Temporal Patterns without Repetition or Singularity
CYRUS Soccer Simulation 2D Team Description Paper 2021
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping
Review of Clustering-Based Recommender Systems
Kilovolt Pyroelectric Voltage Generation and Electrostatic Actuation With Fluidic Heating
TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
Adversary-Aware Partial label learning with Label distillation
Safe Disassociation of Set-Valued Datasets
Robust Plant Disease Diagnosis with Few Target-Domain Samples
Segmentation-driven 6D Object Pose Estimation
An ontology-based chatbot for crises management: use case coronavirus
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation
Learning Pairwise Disjoint Simple Languages from Positive Examples
Socially Beneficial Metaverse: Framework, Technologies, Applications, and Challenges
A Hybrid Strategy for Aggregated Probabilistic Forecasting and Energy Trading in HEFTCom2024
Diagonal Based Feature Extraction for Handwritten Alphabets Recognition System using Neural Network
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks
Supermodular Locality Sensitive Hashes
AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI
Development of an underwater inductive coupling communication system with power carrier technology
Guided Diffusion Model for Adversarial Purification from Random Noise
Zero-Shot Learning and Clustering for Semantic Utterance Classification
FAU, Facial Expressions, Valence and Arousal: A Multi-task Solution
Aerial Maritime Vessel Detection and Identification
MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
Improved Object Tracking via Bags of Affine Subspaces
Path Loss Exponent Estimation in Large Wireless Networks
Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking
Identifying Compiler Options to Minimise Energy Consumption for Embedded Platforms
Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph Summarization
Privacy Preservation and Identity Tracing Prevention in AI-Driven Eye Tracking for Interactive Learning Environments
Rapid grasping of fabric using bionic soft grippers with elastic instability
Continually Adding New Languages to Multilingual Language Models
ARE: Scaling Up Agent Environments and Evaluations
High-order Discretization of a Gyrokinetic Vlasov Model in Edge Plasma Geometry
A Novel Algorithm for Informative Meta Similarity Clusters Using Minimum Spanning Tree
Using UNet and PSPNet to explore the reusability principle of CNN parameters
Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets
Transfer of Manure from Livestock Farms to Crop Fields as Fertilizer using an Ant Inspired Approach
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Primal Dual Affine Scaling on GPUs
A Channel Attention-Driven Hybrid CNN Framework for Paddy Leaf Disease Detection
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
Approximation systems for functions in topological and in metric spaces
Exploring the Unfairness of DP-SGD Across Settings
Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding
A System for Automated Image Editing from Natural Language Commands
What Does Stable Diffusion Know about the 3D Scene?
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
Foundations of Quantum Granular Computing with Effect-Based Granules, Algebraic Properties and Reference Architectures
A Simple Robot Selection Criteria After Path Planning Using Wavefront Algorithm
Optimal Control Design for Operating a Hybrid PV Plant with Robust Power Reserves for Fast Frequency Regulation Services
C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting
Learning Task Execution Hierarchies for Redundant Robots
Matching Media Contents with User Profiles by means of the Dempster-Shafer Theory
The Approximate Capacity of the Gaussian N-Relay Diamond Network
Churn prediction in online gambling
Direction of slip modulates the perception of slip distance and slip speed
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Concurrent Disjoint Set Union
Developing a Strong CPS Defender: An Evolutionary Approach
Recurrence extraction and denotational semantics with recursive definitions
Detecting sequences of system states in temporal networks
On the restriction to unitarity for rational approximations to the exponential function
EuroLLM: Multilingual Language Models for Europe
A high-order augmented basis positivity-preserving discontinuous Galerkin method for a Linear Hyperbolic Equation
Can Whisper perform speech-based in-context learning
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches
Unrestricted algorithms for elementary and special functions
Human Aspects and Perception of Privacy in Relation to Personalization
Efficient and Robust Topological Data Analysis on Metric Spaces
Towards a method to anticipate dark matter signals with deep learning at the LHC
Characterization of drivers heterogeneity and its integration within traffic simulation
Explore-Exploit: A Framework for Interactive and Online Learning
Continuity and Additivity Properties of Information Decompositions
Simple Unsupervised Multi-Object Tracking
A Typedriven Vector Semantics for Ellipsis with Anaphora using Lambek Calculus with Limited Contraction
Frequency-domain Learning for Volumetric-based 3D Data Perception
Data-Driven Discovery and Formulation Refines the Quasi-Steady Model of Flapping-Wing Aerodynamics
A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity
Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction
Several classes of minimal linear codes with few weights from weakly regular plateaued functions
ZS-MSTM: Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding
Digital twins of nonlinear dynamical systems: A perspective
Thermodynamic Machine Learning through Maximum Work Production
Koalja: from Data Plumbing to Smart Workspaces in the Extended Cloud
Parameterizable Byzantine Broadcast in Loosely Connected Networks
RepCL: Exploring Effective Representation for Continual Text Classification
Estimating Driver Personality Traits from On-Road Driving Data
Open Loop In Natura Economic Planning
DReX: Pure Vision Fusion of Self-Supervised and Convolutional Representations for Image Complexity Prediction
Cross-Complementary Pairs for Optimal Training in Spatial Modulation over Frequency Selective Channels
HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods
Photo-z-SQL: integrated, flexible photometric redshift computation in a database
Virtual Private Overlays: Secure Group Commounication in NAT-Constrained Environments
An Analytical Model for S-ALOHA Performance Evaluation in M2M Networks
Can Large Language Models design a Robot?
Efficient Similarity-Preserving Unsupervised Learning using Modular Sparse Distributed Codes and Novelty-Contingent Noise
Object-Level Representation Learning for Few-Shot Image Classification
Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption
The Limitation of Random Network Coding
ArrowGAN : Learning to Generate Videos by Learning Arrow of Time
Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training
Anti-lock Brake System for Integrated Electric Parking Brake Actuator Based on Sliding-mode Control
Potholes on the Royal Road
Incentivizing Data Contribution in Cross-Silo Federated Learning
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
Modeling Evacuee Behavior for Robot-Guided Emergency Evacuation
An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection
AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning
Taming Weak Memory Models
Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification
Event-triggered Observability: A Set-membership Perspective
Learning sound representations using trainable COPE feature extractors
HotFlip: White-Box Adversarial Examples for NLP
Quasi-quantum secure direct communication scheme using non-maximally entangled states
Comparative performance analysis of AntHocNet and DSR in optimal path route determination
Top-Down Skiplists
A Novel U-Net Architecture for Denoising of Real-world Noise Corrupted Phonocardiogram Signal
CKConv: Learning Feature Voxelization for Point Cloud Analysis
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications
Oracle Analysis of Representations for Deep Open Set Detection