yusuke1997/dblp-id-title huggingface dataset:
Learning Where to Look While Tracking Instruments in Robot-assisted Surgery
What Variables Affect Out-Of-Distribution Generalization in Pretrained Models?
Implementation of float-float operators on graphics hardware
Machine-arranged Interactions Improve Institutional Belonging and Cohesion
Alternating projections between two inconsistent affine subspaces with varying relaxation
Adaptive Neighborhood Resizing for Stochastic Reachability in Multi-Agent Systems
Gamification and AI: Enhancing User Engagement through Intelligent Systems
LAVIS: A Library for Language-Vision Intelligence
AV-data2vec: Self-supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations
No Free Lunch From Random Feature Ensembles
Deep Reinforcement Learning Based Mode Selection and Resource Allocation for Cellular V2X Communications
Harnessing the Complexity of Education with Information Technology
The Concept of Semantic Value in Social Network Analysis: an Application to Comparative Mythology
Current State of IPv6 Security in IoT
Exploring the Optimal Size of Grid-forming Energy Storage in an Off-grid Renewable P2H System under Multi-timescale Energy Management
Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies
Benchmarking Humanoid Imitation Learning with Motion Difficulty
Continual learning in cross-modal retrieval
Transformations between deep neural networks
Generating Text from Structured Data with Application to the Biography Domain
Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval
An evaluation of a microprocessor with two independent hardware execution threads coupled through a shared cache
Privacy Guarantees of BLE Contact Tracing: A Case Study on COVIDWISE
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure
Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysis
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
Efficiently Processing Large Relational Joins on GPUs
Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification
From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models
A Practical Quantum Hoare Logic with Classical Variables, I
1.5-Pints Technical Report: Pretraining in Days, Not Months - Your Language Model Thrives on Quality Data
A Gronwall Inequality Based Approach to Transient Stability Assessment for Power Grids
Fully dynamic data structure for LCE queries in compressed space
Asynchronous Distributed Genetic Algorithms with Javascript and JSON
Modeling informational novelty in a conversational system with a hybrid statistical and grammar-based approach to natural language generation
Distributed Algorithms for Computing Alternate Paths Avoiding Failed Nodes and Links
FoR 2 M: Recognition and Repair of Foldings in Mesh Surfaces. Application to 3D Object Degradation
Accelerating large-eddy simulations of clouds with Tensor Processing Units
BERT Meets Chinese Word Segmentation
Deep Learning for Domain Adaption: Engagement Recognition
Loosely Coupled Payload Transport System with Robot Replacement
Power Hardware-In-the-Loop Testing of a Peer-to-Peer Energy Trading Framework
Towards Automated and Marker-less Parkinson Disease Assessment: Predicting UPDRS Scores using Sit-stand videos
Range-Only Localization System for Small-Scale Flapping-Wing Robots
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning
Toward a Deep Learning-Driven Intrusion Detection Approach for Internet of Things
MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps
Ignore Previous Prompt: Attack Techniques For Language Models
A scalable mining of frequent quadratic concepts in d-folksonomies
Classical - Quantum Arbitrarily Varying Wiretap Channel: Common Randomness Assisted Code and Continuity
Online Explanation Generation for Human-Robot Teaming
A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM
Retrofitting Fine Grain Isolation in the Firefox Renderer (Extended Version)
Policy Gradient-based Algorithms for Continuous-time Linear Quadratic Control
A Unified Framework for Consensus and Synchronization on Lie Groups admitting a Bi-Invariant Metric
Q-Map: clinical concept mining with phrase sense disambiguation
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
Narrate2Nav: Real-Time Visual Navigation with Implicit Language Reasoning in Human-Centric Environments
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
Robust Video Synchronization using Unsupervised Deep Learning
BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Adversarial Online Learning with Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity
Machine unlearning via GAN
Learning quantum states and unitaries of bounded gate complexity
AKEM: Aligning Knowledge Base to Queries with Ensemble Model for Entity Recognition and Linking
Modelling Dead Rocking In Online Multiplayer Games
Interagir avec un contenu opératique : le projet d'opéra virtuel interactif Virtualis
Everything is Relative: Understanding Fairness with Optimal Transport
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning
Sample Complexity of the Boolean Multireference Alignment Problem
Metriplectic Conditional Flow Matching for Dissipative Dynamics
Iterative Layer-wise Distillation for Efficient Compression of Large Language Models
Optimality of adaptive H(div div) mixed finite element methods for the Kirchhoff-Love plate bending problem
Average-case Approximation Ratio of Scheduling without Payments
Decompose X-ray Images for Bone and Soft Tissue
Radar Odometry on SE(3) with Constant Acceleration Motion Prior and Polar Measurement Model
Rate-Equivocation Optimal Spatially Coupled LDPC Codes for the BEC Wiretap Channel
Classification and Learning-to-rank Approaches for Cross-Device Matching at CIKM Cup 2016
Linear Latent Force Models using Gaussian Processes
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks
Seeing What You Say: Expressive Image Generation from Speech
PDE/PDF-informed adaptive sampling for efficient non-intrusive surrogate modelling
Sub-Graph p-cycle formation for span failures in all-Optical Networks
NP-hardness results for partitioning graphs into disjoint cliques and a triangle-free subgraph
Construction of a Non-2-colorable k-uniform Hypergraph with Few Edges
BatchNorm-based Weakly Supervised Video Anomaly Detection
Temporal Analysis and Gender Bias in Computing
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing
Examining Motivations behind Paper Usage in Academia
Relevance-guided Neural Machine Translation
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
Optimal finite element error estimates for an optimal control problem governed by the wave equation with controls of bounded variation
Measure transport via polynomial density surrogates
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Sequential and Parallel Algorithms for the Addition of Big-Integer Numbers
Rate-Loss Regions for Polynomial Regression with Side Information
Computationally Efficient Robust Estimation of Sparse Functionals
SeSE: A Structural Information-Guided Uncertainty Quantification Framework for Hallucination Detection in LLMs
Data-driven Closures & Assimilation for Stiff Multiscale Random Dynamics
Optimizing method for Neural Network based on Genetic Random Weight Change Learning Algorithm
Skip-free Markov decision processes
Vector Quantization by Minimizing Kullback-Leibler Divergence
Novel Reconciliation Protocol Based on Spinal Code for Continuous-variable Quantum Key Distribution
Accelerated Kinetic Monte Carlo methods for general nonlocal traffic flow models
Minimum-Weight Half-Plane Hitting Set
Constrained Sliced Wasserstein Embedding
Integrated optimization of heterogeneous-network management and the elusive role of macrocells
How to Track Online SLA
Finite element approximation of a phase field model for tumour growth
Alice's Adventures in a Differentiable Wonderland - Volume I, A Tour of the Land
Overcoming the Challenges of Batch Normalization in Federated Learning
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks
On the Implementation of a Bayesian Optimization Framework for Interconnected Systems
AutoAugment: Learning Augmentation Policies from Data
Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification
Energy-Efficient Node Deployment in Static and Mobile Heterogeneous Multi-Hop Wireless Sensor Networks
A comparison of Leja- and Krylov-based iterative schemes for Exponential Integrators
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data
Effectiveness Of Defect Prevention In I.T. For Product Development
Balancing Opposing Views to Reduce Controversy
Low-Rank Parity-Check Codes Over Finite Commutative Rings and Application to Cryptography
Number Theoretic Transform and Its Applications in Lattice-based Cryptosystems: A Survey
An improved CTGAN for data processing method of imbalanced disk failure
A Comparative Performance Evaluation of Kyber, sntrup761, and FrodoKEM for Post-Quantum Cryptography
On Unsupervised Prompt Learning for Classification with Black-box Language Models
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation
Generalized nearly isotonic regression
Spectral Transform Forms Scalable Transformer
Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps
A Hierarchical Decomposition of Kullback-Leibler Divergence: Disentangling Marginal Mismatches from Statistical Dependencies
Food Image Recognition by Using Convolutional Neural Networks (CNNs)
VerteNet - A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images
High Order in Space and Time Schemes Through an Approximate Lax-Wendroff Procedure
Tropical Spectral Theory of Tensors
Learning Mixtures of Gaussians using the k-means Algorithm
A forward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institut
Approximate Bayesian Computation for Physical Inverse Modeling
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings and Distant Supervision
Plücker Embedding of Cyclic Orbit Codes
A Note on Doubly Robust Estimator in Regression Continuity Designs
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition
Scaling laws for single-agent reinforcement learning
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows
What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation
Guiding Language Models of Code with Global Context using Monitors
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation
Diamond Abrasive Electroplated Surface Anomaly Detection using Convolutional Neural Networks for Industrial Quality Inspection
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space
Towards QD-suite: developing a set of benchmarks for Quality-Diversity algorithms
Lattice QCD on a novel vector architecture
Exploring the Boundaries: Thorough Software Testing for Safety-Critical Driving Scenarios Based on Kinematics in the Context of Autonomous Driving
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Errata for: A subexponential lower bound for the Random Facet algorithm for Parity Games
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning
Decentralized Approach to Detect and Eliminate Flapping Phenomena due to Flexible Resources
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval
ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation
Energy and Spectral Efficiencies Trade-off with Filter Optimization in Multiple Access Interference-Aware
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
Parareal in time and spectral in space fast L1 quasilinear subdiffusion solver
Skip priors and add graph-based anatomical information, for point-based Couinaud segmentation
Flexible Quasi-Yagi-Uda antenna for 5G communication
Mismatching as a tool to enhance algorithmic performances of Monte Carlo methods for the planted clique model
Next-Generation Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration Across Messaging Frameworks
Robustness of non-computability
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding
Combining Human-centred Explainability and Explainable AI
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Understanding What Software Engineers Are Working on - The Work-Item Prediction Challenge
ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction
Observation of dynamics inside an unlabeled live cell using bright-field photon microscopy: Evaluation of organelles' trajectories
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation - a Multilingual Perspective
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks
M 2 : Meshed-Memory Transformer for Image Captioning
Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
Unsupervised MMRegNet based on Spatially Encoded Gradient Information
Moving past point-contacts: Extending the ALIP model to humanoids with non-trivial feet using hierarchical, full-body momentum control
How to Succeed in Crowdfunding: a Long-Term Study in Kickstarter
Path Verification for Dynamic Indirect Illumination
Shape of Traveling Densities with Extremum Statistical Complexity
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
Machine Learning Algorithms In User Authentication Schemes
PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization
Design and Analysis of a Novel Radial Deployment Mechanism of Payloads in Sounding Rockets
Ticketing System: A Descriptive Research on the Use of Ticketing System for Project Management and Issue Tracking in IT Companies
Another look at inference after prediction
AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations
Sparsification of Motion-Planning Roadmaps by Edge Contraction
On Phase Offsets of 802.11ac Commodity WiFi
On the Capacity of CSI Based Transmission Link Selection in Decode-and-Forward Cooperative System
MicroEmo: Time-Sensitive Multimodal Emotion Recognition with Micro-Expression Dynamics in Video Dialogues
LSB Based Non Blind Predictive Edge Adaptive Image Steganography
MetaDetect: Metamorphic Testing Based Anomaly Detection for Multi-UAV Wireless Networks
Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI
Time series forecasting based on complex network in weighted node similarity
Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification
Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation
Variational regularization with oversmoothing penalty term in Banach spaces
SpikingRx: From Neural to Spiking Receiver
Efficient Dynamic Rank Aggregation
Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance
Towards Reasoning About Properties of Imperative Programs using Linear Logic
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
Succinct Geometric Indexes Supporting Point Location Queries
Extending the Fermi-LAT Data Processing Pipeline to the Grid
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
Secure Aggregation Is Not All You Need: Mitigating Privacy Attacks with Noise Tolerance in Federated Learning
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents
A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues
AI Models for Depressive Disorder Detection and Diagnosis: A Review
Compositional Abstraction Error and a Category of Causal Models
Backdoor Attack with Mode Mixture Latent Modification
Evaluation of Coordination Strategies for Underground Automated Vehicle Fleets in Mixed Traffic
Leakage and Interpretability in Concept-Based Models
Scalable Information-Flow Analysis of Secure Three-Party Affine Computations
Designing Chatbots to Support Victims and Survivors of Domestic Abuse
An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking
MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions
Cora: Accelerating Stateful Network Applications with SmartNICs
Reinforcement Learning for Machine Learning Engineering Agents
Certified Control for Train Sign Classification
When Agents are Powerful: Black Hole Search in Time-Varying Graphs
Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features
Rail break and derailment prediction using Probabilistic Graphical Modelling
Cooperative Set Aggregation for Multiple Lagrangian Systems
Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
Neural source-filter-based waveform model for statistical parametric speech synthesis
On the Minimal Pseudo-Codewords of Codes from Finite Geometries
Optimizing Bidding Strategies in First-Price Auctions in Binary Feedback Setting with Predictions
Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data
Revisiting Absence withSymptoms that *T* Show up Decades Later to Recover Empty Categories
From Course to Skill: Evaluating LLM Performance in Curricular Analytics
Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
Projected State-action Balancing Weights for Offline Reinforcement Learning
Cost-of-Pass: An Economic Framework for Evaluating Language Models
ComMark: Covert and Robust Black-Box Model Watermarking with Compressed Samples
Locally adaptive cellular automata for goal-oriented self-organization
Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification
Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting
Local, Interactive, and Actionable: a Pandemic Behavioral Nudge
IoT-based Noise Monitoring using Mobile Nodes for Smart Cities
Precision of Pulse-Coupled Oscillator Synchronization on FPGA-Based Radios
Systematic Evaluation of Geolocation Privacy Mechanisms
Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs
An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation
Extending Unification in EL to Disunification: The Case of Dismatching and Local Disunification
Claim Verification in the Age of Large Language Models: A Survey
On the Memorization Properties of Contrastive Learning
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base
Selecting Belief-State Approximations in Simulators with Latent States
A Factor Framework for Experimental Design for Performance Evaluation of Commercial Cloud Services
Block-diagonal covariance selection for high-dimensional Gaussian graphical models
PRISM of Opinions: A Persona-Reasoned Multimodal Framework for User-centric Conversational Stance Detection
Off-line Constraint Propagation for Efficient HPSG Processing
Learning-Based and Quality Preserving Super-Resolution of Noisy Images
CLLMRec: LLM-powered Cognitive-Aware Concept Recommendation via Semantic Alignment and Prerequisite Knowledge Distillation
Game-Theoretic Mixed H 2 /H ∞ Control with Sparsity Constraint for Multi-agent Networked Control Systems
Genetic Algorithm-based Beamforming in Subarray Architectures for GEO Satellites
How can we learn (more) from challenges? A statistical approach to driving future algorithm development
Towards a Good ABS Design for more Reliable Vehicles on the Roads
Generalizable Neural Voxels for Fast Human Radiance Fields
Stochastic Constitutive Model of Isotropic Thin Fiber Networks Based on Stochastic Volume Elements
One-bit Compressed Sensing using Generative Models
A fixed latency ORBGRAND decoder architecture with LUT-aided error-pattern scheduling
A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning
IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection
CompassLLM: A Multi-Agent Approach toward Geo-Spatial Reasoning for Popular Path Query
Coarse-to-Fine Non-Rigid Registration for Side-Scan Sonar Mosaicking
Legally grounded fairness objectives
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization
Sustainable AI Regulation
Inter-Annotator Agreement in the Wild: Uncovering Its Emerging Roles and Considerations in Real-World Scenarios
Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine Architecture
A fixed-stress type splitting method for nonlinear poroelasticity
6-DoF Robotic Grasping with Transformer
Progressive Data Science: Potential and Challenges
4Dynamic: Text-to-4D Generation with Hybrid Priors
Metal Blossom: Laser Forming Complex and Freeform Metal Structures Imitating Flower Blooming
Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories
Tensor Forms of Derivatives of Matrices and their applications in the Solutions to Differential Equations
Controlling earthquake-like instabilities using artificial intelligence
GROUPS-NET: Group Meetings Aware Routing in Multi-Hop D2D Networks
Towards Ubiquitous Intelligent Hand Interaction
Nonconvex Robust Quaternion Matrix Completion for Imaging Processing
Joint Approximate Partial Diagonalization of Large Matrices
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only
Notes on dual-critical graphs