yusuke1997/dblp-id-title huggingface dataset:
Handling Class Imbalance in Link Prediction using Learning to Rank Techniques
(Gap/S)ETH Hardness of SVP
Image enhancement using the mean dynamic range maximization with logarithmic operations
Posiform Planting: Generating QUBO Instances for Benchmarking
Revolutionizing Large Language Model Training through Dynamic Parameter Adjustment
Diagrammatic Differentiation for Quantum Machine Learning
Multi-Method Ensemble for Out-of-Distribution Detection
New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties
Aligning language models with human preferences
SAFER: Situation Aware Facial Emotion Recognition
Performance Evaluation of Flash File Systems
K-means clustering for efficient and robust registration of multi-view point sets
fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
Non-negative matrix and tensor factorisations with a smoothed Wasserstein loss
Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation
Specification-Aware Machine Translation and Evaluation for Purpose Alignment
Fast Multiplication of Large Integers: Implementation and Analysis of the DKSS Algorithm
Event-Driven Space Logistics Network Optimization with Embedded Propulsion Technology Trades
Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
To update or not to update? Delayed Nonparametric Bandits with Randomized Allocation
Informative Neural Ensemble Kalman Learning
An Enhanced Proprioceptive Method for Soft Robots Integrating Bend Sensors and IMUs
Optimal sequential transmission over broadcast channel with nested feedback
Decision-Oriented Text Evaluation
An Experiment on Using Bayesian Networks for Process Mining
Mitigating the Double-Reallocation Issue for IPv6 Lightweight Tunnel Encapsulations in the Linux Kernel
Semantic Image Synthesis via Efficient Class-Adaptive Normalization
Dynamic Graphs Generators Analysis : an Illustrative Case Study
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data
On the Performance of Uplink Pinching Antenna Systems (PASS)
Stakeholder Perspectives on Digital Twin Implementation Challenges in Healthcare: Insights from a Provider Digital Twin Case Study
BMVC 2019: Workshop on Interpretable and Explainable Machine Vision
Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
Responsibility: An Example-based Explainable AI approach via Training Process Inspection
A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints
Microscopic Vehicle Trajectory Datasets from UAV-collected Video for Heterogeneous, Area-Based Urban Traffic
Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure
Understanding the Effects of Domain Finetuning on LLMs
The Emptiness Problem for Valence Automata over Graph Monoids
Why Federated Optimization Fails to Achieve Perfect Fitting? A Theoretical Perspective on Client-Side Optima
High order numerical methods for solving high orders functional differential equations
Robust Scene Text Recognition Using Sparse Coding based Features
Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach
Inference for max-linear Bayesian networks with noise
Optimizing Service Function Chain Mapping in Network Function Virtualization through Simultaneous NF Decomposition and VNF Placement
Concepts and their Use for Modelling Objects and References in Programming Languages
How important are activation functions in regression and classification? A survey, performance comparison, and future directions
Semantic-Cohesive Knowledge Distillation for Deep Cross-modal Hashing
Debugging Invariant Issues in Pseudo Embedded Program: an Analytical Approach
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Tight Lipschitz Hardness for Optimizing Mean Field Spin Glasses
Particle-Based Adaptive Discretization for Continuous Control using Deep Reinforcement Learning
Learning from Noisy Anchors for One-stage Object Detection
Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform
GFlowNets for AI-Driven Scientific Discovery
Machine Space I: Weak exponentials and quantification over compact spaces
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Security Event Recognition for Visual Surveillance
Data Race Prediction for Inaccurate Traces
Scalable sparse covariance estimation via self-concordance
Semantic Similarity Strategies for Job Title Classification
Enhancing satellite system capacity using adaptive HARQ for delay tolerant services in mobile communications
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies, and Challenges
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing
What Can 240,000 New Credit Transactions Tell Us About the Impact of NGEU Funds?
A 3-approximation algorithm for computing a parsimonious first speciation in the gene duplication model
Log-time and Log-space Extreme Classification
Towards Understanding the Cognitive Habits of Large Reasoning Models
Integrating Deep Feature Extraction and Hybrid ResNet-DenseNet Model for Multi-Class Abnormality Detection in Endoscopic Images
Natural Language Reinforcement Learning
A Comprehensive Evaluation Framework for the Study of the Effects of Facial Filters on Face Recognition Accuracy
Non-autoregressive Transformer-based End-to-end ASR using BERT
Convergent regularization in inverse problems and linear plug-and-play denoisers
Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse
On sequences of projections of the cubic lattice
The Cascaded Forward Algorithm for Neural Network Training
Automated Precision Localization of Peripherally Inserted Central Catheter Tip through Model-Agnostic Multi-Stage Networks
DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
Land Cover and Land Use Detection using Semi-Supervised Learning
Once-Marking and Always-Marking 1-Limited Automata
Pifthon: A Compile-Time Information Flow Analyzer For An Imperative Language
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection
Automatic annotation of visual deep neural networks
Confidential Computing in Edge-Cloud Hierarchy
Quantifying dynamics of failure across science, startups, and security
A three-dimensional model of skeletal muscle tissues
GauTOAO: Gaussian-based Task-Oriented Affordance of Objects
$α$-Fair Contextual Bandits
Max-margin Deep Generative Models
NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models
Deep reinforcement learning for smart calibration of radio telescopes
A Bayesian Approach to Biomedical Text Summarization
Learning from Online Videos at Inference Time for Computer-Use Agents
Training face verification models from generated face identity data
Learning Binary Codes and Binary Weights for Efficient Classification
A Polynomial-Time Algorithm for the Tridiagonal and Hessenberg P-Matrix Linear Complementarity Problem
Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
Representation Learning with Diffusion Models
Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
Real time Detection of Spectre and Meltdown Attacks Using Machine Learning
On the relation between dependency distance, crossing dependencies, and parsing. Comment on "Dependency distance: a new perspective on syntactic patterns in natural languages" by Haitao Liu et al
The Internals of the Data Calculator
Multimodal Transformer Models for Turn-taking Prediction: Effects on Conversational Dynamics of Human-Agent Interaction during Cooperative Gameplay
Extrapolating continuous color emotions through deep learning
The BlackParrot BedRock Cache Coherence System
TripoSR: Fast 3D Object Reconstruction from a Single Image
RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning
Hybrid Approach for Single Text Document Summarization using Statistical and Sentiment Features
Not All Actions Are Created Equal: Bayesian Optimal Experimental Design for Safe and Optimal Nonlinear System Identification
Automatic generation and verification of test-stable floating-point code
On the profitability of selfish blockchain mining under consideration of ruin
Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster
Social Evolution of Published Text and The Emergence of Artificial Intelligence Through Large Language Models and The Problem of Toxicity and Bias
Revisiting Radius, Diameter, and all Eccentricity Computation in Graphs through Certificates
A Federated Learning Framework for Nonconvex-PL Minimax Problems
Dividing by zero - how bad is it, really?
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
Wavelet Attention GRU for Efficient Industrial Gas Recognition with Novel Metrics
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset
Marcinkiewicz-Zygmund inequalities for scattered data on polygons
On the Importance of 3D Surface Information for Remote Sensing Classification Tasks
Capturing Unseen Spatial Extremes Through Knowledge-Informed Generative Modeling
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling
$β$-skeletons for a set of line segments in $R^2$
A log-Sobolev inequality for the multislice, with applications
Mitigating False Predictions In Unreasonable Body Regions
miniKanren as a Tool for Symbolic Computation in Python
Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
"Computer Science for all": Concepts to engage teenagers and non-CS students in technology
Reducing energy consumption of cloud data centers using proper placement of virtual machines
FitControler: Toward Fit-Aware Virtual Try-On
AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions
In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis
Content-based Controls For Music Large Language Modeling
Compressive Sensing of Polynomial Phase Signals
Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors
The Science Gateway Community Institute's Consulting Services Program: Lessons for Research Software Engineering Organizations
Efficient Two-Level Scheduling for Concurrent Graph Processing
Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training
Facts and Fabrications about Ebola: A Twitter Based Study
Surface2Volume: Surface Segmentation Conforming Assemblable Volumetric Partition
A generative model for reciprocity and community detection in networks
QoE-oriented Dependent Task Scheduling under Multi-dimensional QoS Constraints over Distributed Networks
How to Understand Masked Autoencoders
Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation
StarGraph: A Coarse-to-Fine Representation Method for Large-Scale Knowledge Graph
InceptionCaps: A Performant Glaucoma Classification Model for Data-scarce Environment
Online Ensemble Model Compression using Knowledge Distillation
Towards a Common Speech Analysis Engine
Is Content Publishing in BitTorrent Altruistic or Profit-Driven
Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions
Concealed Communication in Online Social Networks
Theoretical and numerical indirect stabilization of coupled wave equations with a single time-delayed damping
A logic of judgmental existence and its relation to proof irrelevance
Automated Alertness and Emotion Detection for Empathic Feedback During E-Learning
Enhancing Subtask Performance of Multi-modal Large Language Model
Leader Election with High Probability for Self-Organizing Programmable Matter
EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement
Improving Few-shot Learning with Weakly-supervised Object Localization
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Disentanglement with Factor Quantized Variational Autoencoders
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition
Deadwooding: Robust Global Pruning for Deep Neural Networks
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation
Extreme Floorplan Reconstruction by Structure-Hallucinating Transformer Cascades
Compass: General Filtered Search across Vector and Structured Data
TTS-by-TTS: TTS-driven Data Augmentation for Fast and High-Quality Speech Synthesis
RobustFlow: Towards Robust Agentic Workflow Generation
Naturalizing Neuromorphic Vision Event Streams Using GANs
Federated Dynamic Spectrum Access
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
The Rabin index of parity games
Optimal Differentially Private ADMM for Distributed Machine Learning
BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation
The Design and Algorithms of a Verification Condition Generator
ROSETLineBot: One-Wheel-Drive Low-Cost Power Line Inspection Robot Design and Control
Learning Optimal Control via Forward and Backward Stochastic Differential Equations
Evaluation of research publications and publication channels in astronomy and astrophysics
Identification of Test Structures for Reduced Order Modeling of the Squeeze Film Damping in Mems
UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene
Prediction of Red Wine Quality Using One-dimensional Convolutional Neural Networks
Design and implementation of tools to build an ontology of Security Requirements for Internet of Medical Things
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
Compression with Actions
Generalized Invariant Matching Property via LASSO
QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition-Informed Approach to Quantifying Identity Fusion from Text
Prompting with Sign Parameters for Low-resource Sign Language Instruction Generation
Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model
Neuromimetic metaplasticity for adaptive continual learning
Subgraph-Oriented Testing for Deep Learning Libraries
Developer Load Normalization Using Iterative Kuhn-Munkres Algorithm: An Optimization Triaging Approach
A new approach to bipartite stable matching optimization
AI-Generated Video Detection via Perceptual Straightening
The uniform sparse FFT with application to PDEs with random coefficients
A Type System for First-Class Layers with Inheritance, Subtyping, and Swapping
Topology identification of autonomous quantum dynamical networks
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning
Can ChatGPT pass the Vietnamese National High School Graduation Examination?
Cognitive Radio Transmission Strategies for Primary Erasure Channels
On Partially Unitary Learning
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval
Augmented Carpentry: Computer Vision-assisted Framework for Manual Fabrication
K-Theory of Multi-parameter Persistence Modules: Additivity
A Staged Approach to Evolving Real-world UAV Controllers
The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
DualGazeNet: A Biologically Inspired Dual-Gaze Query Network for Salient Object Detection
Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos
Self-grouping Convolutional Neural Networks
Least-Squares Neural Network (LSNN) Method For Linear Advection-Reaction Equation: Non-constant Jumps
Speeding Up the NSGA-II via Dynamic Population Sizes
Excluding a Forest Induced Minor
Continuously Reliable Detection of New-Normal Misinformation: Semantic Masking and Contrastive Smoothing in High-Density Latent Regions
Hypothesis Generation with Large Language Models
Bridging the gap between image coding for machines and humans
DYNAMO: Dynamic Neutral Atom Multi-programming Optimizer Towards Quantum Operating Systems
Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models
How Do Users Revise Architectural Related Questions on Stack Overflow: An Empirical Study
Autonomous and Robust Orbit-keeping for Small Body Missions
Frank-Wolfe optimization for deep networks
Jones' Conjecture in subcubic graphs
A Pose-only Solution to Visual Reconstruction and Navigation
Parameterized Regular Expressions and their Languages
Bayesian Optimization With Censored Response Data
Taken by Surprise: Contrast effect for Similarity Scores
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games
Voting-Based Multi-Agent Reinforcement Learning
A procedural framework and mathematical analysis for solid sweeps
Models of on-line social networks
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact
Automatic Player Identification in Dota 2
TextCaps : Handwritten Character Recognition with Very Small Datasets
Teach me how to Interpolate a Myriad of Embeddings
Pheromone Static Routing Strategy for Complex Networks
Kinematic and Dynamic Analyses of the Orthoglide 5-axis
Analysis of DNS Dependencies and their Security Implications in Australia: A Comparative Study of General and Indigenous Populations
Power Control Protocols in VANET
Dynamic Fairness Perceptions in Human-Robot Interaction
Numerical Simulation of Metal Machining Process with Eulerian and Total Lagrangian SPH
Use of Fuzzy Sets in Semantic Nets for Providing On-Line Assistance to User of Technological Systems
Prediction of Optimal Drug Schedules for Controlling Autophagy
HashCC: Lightweight Method to Improve the Quality of the Camera-less NeRF Scene Generation
Exoplanet Cartography using Convolutional Neural Networks
Toward Noise-Aware Audio Deepfake Detection: Survey, SNR-Benchmarks, and Practical Recipes
Classifying Metamorphic versus Single-Fold Proteins with Statistical Learning and AlphaFold2
Fast likelihood-based change point detection
Distributed Random-Fixed Projected Algorithm for Constrained Optimization Over Digraphs
READ: a three-communicating-stage distributed super points detections algorithm
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
Generalized Expectation Maximization Framework for Blind Image Super Resolution
A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Confluence Detection for Transformations of Labelled Transition Systems
Advances in Multi-agent Reinforcement Learning: Persistent Autonomy and Robot Learning Lab Report 2024
Profile Popularity in a Business-oriented Online Social Network
Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset
Key attributes of a modern statistical computing tool
Boosted generalized normal distributions: Integrating machine learning with operations knowledge
A New Encounter Between Leader-Follower Tracking and Observer-Based Control: Towards Enhancing Robustness against Disturbances
A Generalized Circuit for the Hamiltonian Dynamics Through the Truncated Series
On the characterization of models of H* : The operational aspect
Top-k Community Similarity Search Over Large-Scale Road Networks (Technical Report)
Random-Fuzzy Dual Interpretation of Unknown Quantity for Estimation & Recognition: with Demonstration of IMM Filter
Byzantine Resilient Computing with the Cloud
GeoMeter: Probing Depth and Height Perception of Large Visual-Language Models
To what extent homophily and influencer networks explain song popularity
Contingency Training
A Unified Understanding of Offline Data Selection and Online Self-refining Generation for Post-training LLMs
Happiness and the Patterns of Life: A Study of Geolocated Tweets
Efficient processing of raster and vector data
Byzantine Attacks in RIS-Enhanced Cooperative Spectrum Sensing: A Decision Fusion Perspective
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
A Compact Neural Network-based Algorithm for Robust Image Watermarking
Progressively Diffused Networks for Semantic Image Segmentation
Spectrum and Energy Efficiency Evaluation of Two-Tier Femtocell networks With Partially Open Channels
On Sparsest Cut and Conductance in Directed Polymatroidal Networks
Thermodynamics-informed super-resolution of scarce temporal dynamics data
3D MIMO Scheme for Broadcasting Future Digital TV in Single Frequency Networks
Exploiting Vulnerabilities in Speech Translation Systems through Targeted Adversarial Attacks
CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking
Mobile Technologies in Education
Abstract Meaning Representation for Hospital Discharge Summarization
BeST - A Novel Source Selection Metric for Transfer Learning
Walking Your Frog Fast in 4 LoC
Value Engineering for Autonomous Agents
Towards Multi-Platform Mutation Testing of Task-based Chatbots
Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
Risk and Vulnerability Assessment of Energy-Transportation Infrastructure Systems to Extreme Weather
Approximation and Fixed Parameter Subquadratic Algorithms for Radius and Diameter
MiniFool - Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba
R-PackDroid: Practical On-Device Detection of Android Ransomware
A Deep Learning Approach to Localizing Multi-level Airway Collapse Based on Snoring Sounds
Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving
Energy Consumption Of Visual Sensor Networks: Impact Of Spatio-Temporal Coverage
Robustness analysis of finite precision implementations
A General Safety Framework for Autonomous Manipulation in Human Environments
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
Network Synchronization and Coordination in a Noisy Environment with Time Delays
Periods and borders of random words
IoT Malware Detection Architecture using a Novel Channel Boosted and Squeezed CNN
Machine learning at the mesoscale: a computation-dissipation bottleneck
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data
Error Correction for Physical Unclonable Functions Using Generalized Concatenated Codes
Linear Predictive Coding as an Estimator of Volatility