yusuke1997/dblp-id-title huggingface dataset:
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition
Accelerated Linear SVM Training with Adaptive Variable Selection Frequencies
Minimizing Age of Information with Soft Updates
Online Stochastic Bin Packing
Modular Deutsch Entropic Uncertainty Principle
Fixation dynamics on multilayer networks
Personality-Driven Gaze Animation with Conditional Generative Adversarial Networks
Emotional State Categorization from Speech: Machine vs. Human
Multi-Stage Fusion for One-Click Segmentation
Scale Free Projections Arise from Bipartite Random Networks
Systems of bounded rational agents with information-theoretic constraints
Towards Automated Acceptance testing for industrial robots
Learning interaction kernels in mean-field equations of 1st-order systems of interacting particles
Fast asynchronous updating algorithms for k-shell indices
A Systematic Review of Echo Chamber Research: Comparative Analysis of Conceptualizations, Operationalizations, and Varying Outcomes
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models
Explaining the Impact of Training on Vision Models via Activation Clustering
Reinforcement Learning for Pivoting Task
Context-aware Automatic Music Transcription
Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
Variational Denoising for Variational Quantum Eigensolver
Look-Ahead Removal for Top-Down Tree Transducers
Quantum Lower Bounds for 2D-Grid and Dyck Language
R2H: Building Multimodal Navigation Helpers that Respond to Help
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging
Tortho-Gaussian: Splatting True Digital Orthophoto Maps
A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression
Utilizing Bayesian Optimization for Timetable-Independent Railway Junction Performance Determination
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation
A control variate method based on polynomial approximation of Brownian path
Lean and Full Congruence Formats for Recursion
Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs
Cascade Decoders-Based Autoencoders for Image Reconstruction
Using Superposition Codebooks and Partial Decode and Forward in Low SNR Parallel Relay Networks
Combining Conventional Cryptography with Information Theoretic Security
Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception
The Utility of Abstaining in Binary Classification
Feasible Policy Iteration
Measuring Determinism in Large Language Models for Software Code Review
New Constructions of MDS Symbol-Pair Codes
Disentangled Feature Importance
Scalable Text Mining with Sparse Generative Models
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data
GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents
Optimal monomial quadratization for ODE systems
Comparative Study between Adversarial Networks and Classical Techniques for Speech Enhancement
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
Performance Analysis of Crosslink Radiometric Measurement based Autonomous Orbit Determination for Cislunar Small Satellite Formations
In-context learning for model-free system identification
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes
NeuroFly: A framework for whole-brain single neuron reconstruction
Identification Via Quantum Channels
Safe Control Design through Risk-Tunable Control Barrier Functions
Impact of Social Relationships on Peer Assessment in E-Learning
Random graphs containing arbitrary distributions of subgraphs
On Explaining Visual Captioning with Hybrid Markov Logic Networks
A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors
A structured proof of the Kolmogorov superposition theorem
Ultra-low memory seismic inversion with randomized trace estimation
Mining Local Gazetteers of Literary Chinese with CRF and Pattern based Methods for Biographical Information in Chinese History
Designing, Building, and Characterizing RF Switch-based Reconfigurable Intelligent Surfaces
PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors
A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
Combining Blockchain and IOT for Decentralized Healthcare Data Management
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression
On the application of generative adversarial networks for nonlinear modal analysis
LongCat-Image Technical Report
Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning
Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
Smoothness, Low-Noise and Fast Rates
Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction
Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)
A sequential guiding network with attention for image captioning
Retrieval of phonemes and Kohonen algorithm
Achievability of Nonlinear Degrees of Freedom in Correlatively Changing Fading Channels
Data-Driven Superstabilization of Linear Systems under Quantization
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation
Optimizing Queries in a Logic-based Information Integration System
Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning
oRANS: Online optimisation of RANS machine learning models with embedded DNS data generation
Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs
ALFA: A Dataset for UAV Fault and Anomaly Detection
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations
YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
FAIR Universe HiggsML Uncertainty Challenge Competition
Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade
Position Paper: Think Globally, React Locally - Bringing Real-time Reference-based Website Phishing Detection on macOS
Towards Innovative Physical Layer Design for Mobile WSN Platforms
A Probe into Causes of Non-citation Based on Survey Data
Decoupling Search and Learning in Neural Net Training
F0 analysis of Ghanaian pop singing reveals progressive alignment with equal temperament over the past three decades: a case study
Kontrol Edilebilir ptSTL Formulu Sentezi - Synthesis of Controllable ptSTL Formulas
FaaS: Federation-as-a-Service
CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish
Mixed Finite Element Method for Multi-layer Elastic Contact Systems
Are We Up to the Challenge? An analysis of the FCC Broadband Data Collection Fixed Internet Availability Challenges
Reproducibility in machine learning for medical imaging
ATAC: A Tool for Automating Timed Automata Construction
Handling Large and Complex Data in a Photovoltaic Research Institution Using a Custom Laboratory Information Management System
A Lower Bound on Observability for Target Tracking with Range Sensors and its Application to Sensor Assignment
Error estimation for physics-informed neural networks with implicit Runge-Kutta methods
A co-Design approach to develop a smart cooking appliance. Applying a Domain Specific Language for a community supported appliance
Swarm Herding: A Leader-Follower Framework For Multi-Robot Navigation
Known by the company we keep: 'Triadic influence' as a proxy for compatibility in social relationships
Life Estimation of HVDC Cable Insulation under Load Cycles: from Macroscopic to Microscopic Charge Conduction Modelling
Implementation of Symbol Timing Recovery for Estimation of Clock Skew
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports
Topic Detection in Continuous Sign Language Videos
Hybrid-DAOs: Enhancing Governance, Scalability, and Compliance in Decentralized Systems
A scientometrics law about co-authors and their ranking. The co-author core
Trajectory Generator Matching for Time Series
Why Did My Query Slow Down?
SemanticStitch: Enhancing Image Coherence through Foreground-Aware Seam Carving
On infinite-finite tree-duality pairs of relational structures
ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification
Right-hand side decoding of Gabidulin code and applications
Path Planning for Spot Spraying with UAVs Combining TSP and Area Coverages
Discovering Latent Structural Causal Models from Spatio-Temporal Data
A Practical Bandit Method with Advantages in Neural Network Tuning
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results
Maintaining Bipartite Colourings on Temporal Graphs on a Budget
Statistical Characterization of Random Errors Present in Synchrophasor Measurements
Boundary informed inverse PDE problems on discrete Riemann surfaces
Customised high-value document generation
A Self-supervised Representation Learning of Sentence Structure for Authorship Attribution
Efficient Action Counting with Dynamic Queries
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments
A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation
SenTest: Evaluating Robustness of Sentence Encoders
ProSG: Using Prompt Synthetic Gradients to Alleviate Prompt Forgetting of RNN-like Language Models
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Combinatorial Designs and Cellular Automata: A Survey
Weight-based Decomposition: A Case for Bilinear MLPs
High-Speed Visible Light Indoor Networks Based on Optical Orthogonal Codes and Combinatorial Designs
Ellipsoid Method for Linear Programming made simple
Improved Approximation for Maximum Edge Colouring Problem
Generative models uncertainty estimation
Fast Interactive Image Retrieval using large-scale unlabeled data
A Practical Guide to Tuning Spiking Neuronal Dynamics
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging
Multi-Contrast Computed Tomography Healthy Kidney Atlas
Covert Association of Applications on Edge Devices by Processor Workload
Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries
Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training
Topology-Aware Hybrid Wi-Fi/BLE Fingerprinting via Evidence-Theoretic Fusion and Persistent Homology
Transformers and Transfer Learning for Improving Portuguese Semantic Role Labeling
A Hierarchical Multi-resolution Mesh Network for Brain Decoding
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
EgoAnimate: Generating Human Animations from Egocentric top-down Views
An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Learning Implicit 3D Representations of Dressed Humans from Sparse Views
A conservation rule for constructing bibliometric network matrices
A Generic Axiomatic Characterization of Centrality Measures in Social Network
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
Eccentricity terrain of δ-hyperbolic graphs
A Meta-Evaluation of Style and Attribute Transfer Metrics
Adaptive Student's t-distribution with method of moments moving estimator for nonstationary time series
USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction
Statistical data analysis for Tourism in Poland in R Programming Environment
Understanding State Social Anxiety in Virtual Social Interactions using Multimodal Wearable Sensing Indicators
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI
Self-Supervised Learning for speech recognition with Intermediate layer supervision
Transformers are efficient hierarchical chemical graph learners
SGFormer: Spherical Geometry Transformer for 360 Depth Estimation
Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
Optimality of Non-Interactive Randomized Response
Bounded width = strict width 2, for coset templates
Exposure-Aware Recommendation using Contextual Bandits
On the inadequacy of nominal assortativity for assessing homophily in networks
Matchmaking Semantic Based for Information System Interoperability
BIPOLAR: Polarization-based granular framework for LLM bias evaluation
Automated Verification of Tree-Manipulating Programs Using Constrained Horn Clauses
Precision and Recall Reject Curves for Classification
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression
An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
Challenges and Pitfalls of Bayesian Unlearning
A Relaxation/Finite Difference discretization of a 2D Semilinear Heat Equation over a rectangular domain
A Perspective on K-12 AI Education
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
XML Representation of Constraint Networks: Format XCSP 2.1
Algorithmic aspects of Tverberg's Theorem
Online Knowledge Distillation with Reward Guidance
Multiplexing Gain of Amplify-Forward Relaying in Wireless Multi-Antenna Relay Networks
Environmentally-friendly GR(1) Synthesis
A Complete Epistemic Temporal Logic for Intelligent Agent
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling
Prompt Tuning for Multi-View Graph Contrastive Learning
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features
Transitional Behavior of q-Composite Random Key Graphs with Applications to Networked Control
PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration
Mixture of Link Predictors
Integrating Ontologies with Large Language Models for Enhanced Control Systems in Chemical Engineering
Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time Scaling
Improved resource-tunable near-term quantum algorithms for transition probabilities, with applications in physics and variational quantum linear algebra
Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates
1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection
Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality
A Decentralized Shared CAV System Design and Application
Recognizing Visibility Graphs of Polygons with Holes and Internal-External Visibility Graphs of Polygons
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image
RemedyGS: Defend 3D Gaussian Splatting against Computation Cost Attacks
Swarming of Aerial Robots with Markov Random Field Optimization
Toward Finding The Global Optimal of Adversarial Examples
Support Recovery with Stochastic Gates: Theory and Application for Linear Models
Learning to Compose Diversified Prompts for Image Emotion Classification
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes
An early prediction of covid-19 associated hospitalization surge using deep learning approach
Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild
Multilabel Classification throughout Random Graph Ensembles
Phase Repair for Time-Domain Convolutional Neural Networks in Music Super-Resolution
Cluster Model for parsimonious selection of variables and enhancing Students Employability Prediction
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Joint Distributions in Probabilistic Semantics
Better Technical Debt Detection via SURVEYing
Traffic Reconstruction and Analysis of Natural Driving Behaviors at Unsignalized Intersections
Practical Efficiency of Muon for Pretraining
Active Gate Drive with Gate-Drain Discharge Compensation for Voltage Balancing in Series-Connected SiC MOSFETs
Hyperbolic Convolution via Kernel Point Aggregation
Automating Quantified Multimodal Logics in Simple Type Theory -- A Case Study
DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving
Semidefinite Programs on Sparse Random Graphs
Adaptive Annotation Distribution for Weakly Supervised Point Cloud Semantic Segmentation
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition
Normalized Information Distance
DecodeX: Exploring and Benchmarking of LDPC Decoding across CPU, GPU, and ASIC Platforms
The Economy and Public Diplomacy: An Analysis of RT's Economic Content and Context on Facebook
Computing SHAP Efficiently Using Model Structure Information
WIPI: A New Web Threat for LLM-Driven Web Agents
ExpansionNet: exploring the sequence length bottleneck in the Transformer for Image Captioning
Davis-Kahan Theorem under a moderate gap condition
Knowledge Isomorphism between Neural Networks
The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines
Efficient and rate-optimal list-decoding in the presence of minimal feedback: Weldon and Slepian-Wolf in sheep's clothing
Adscape: Harvesting and Analyzing Online Display Ads
Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
Individually amplified text-to-speech
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images
A Novel Approach to the Behavioral Aspects of Cybersecurity
Approximation Algorithms for Vehicle Routing Problems with Stochastic Demands on Trees
Do Data Center Network Metrics Predict Application-Facing Performance?
DPO-Shift: Shifting the Distribution of Direct Preference Optimization
Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence
Anti-Degeneracy Scheme for Lidar SLAM based on Particle Filter in Geometry Feature-Less Environments
A Linear Algorithm for Computing Independence Polynomials of Trees
On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
Online busy time scheduling with flexible jobs
Omniscient Attacker in Stochastic Security Games with Interdependent Nodes
SPAC: A Python Package for Spatial Single-Cell Analysis of Multiplex Imaging
Tree-like resolution complexity of two planar problems
On the Complexity of Determining Whether there is a Unique Hamiltonian Cycle or Path
Medical AI Consensus: A Multi-Agent Framework for Radiology Report Generation and Evaluation
The Partial Evaluation Approach to Information Personalization
Improving Vision-Language-Action Models via Chain-of-Affordance
Collaborative Deep Learning for Speech Enhancement: A Run-Time Model Selection Method Using Autoencoders
Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework
Semantical Equivalence of the Control Flow Graph and the Program Dependence Graph
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues
Pre-proceedings of the DECLARE 2019 Conference
The Empty Chair: Using LLMs to Raise Missing Perspectives in Policy Deliberations
A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions
Evaluation of voltage magnitude based unbalance metric for low voltage distribution networks
Description of Structural Biases and Associated Data in Sensor-Rich Environments
TriNeRFLet: A Wavelet Based Multiscale Triplane NeRF Representation
Conditional Image Generation with Score-Based Diffusion Models
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project
A Process Calculus for Expressing Finite Place/Transition Petri Nets
Neural Diffusion Model for Microscopic Cascade Prediction
Least Squares Finite Element Method for Hepatic Sinusoidal Blood Flow
Direct deduction of chemical class from NMR spectra
Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Improving performance of real-time full-band blind packet-loss concealment with predictive network
A Survey of Secure Computation Using Trusted Execution Environments
RankAdaptor: Hierarchical Dynamic Low-Rank Adaptation for Structural Pruned LLMs
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays
Three-layer deep learning network random trees for fault diagnosis in chemical production process
PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts
On the Design of Hybrid Pose and Velocity-bias Observers on Lie Group SE(3)
Drawing Prolog Search Trees: A Manual for Teachers and Students of Logic Programming
Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation
Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
Semantic Communication in Multi-team Dynamic Games: A Mean Field Perspective
Adaptive regularisation for ensemble Kalman inversion with applications to non-destructive testing and imaging
Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving
Assessing the Impact of Conspiracy Theories Using Large Language Models
On Integrating Deductive Synthesis and Verification Systems
A conservative fully-discrete numerical method for the regularised shallow water wave equations
Removing Connected Obstacles in the Plane is FPT
Test like you Train in Implicit Deep Learning
Community-Aligned Behavior Under Uncertainty: Evidence of Epistemic Stance Transfer in LLMs
A Strategy for Power System Stability Improvement via Controlled Charge/Discharge of Plug-in Electric Vehicles
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems
Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning
NANO-SLAM : Natural Gradient Gaussian Approximation for Vehicle SLAM
The linear arboricity conjecture for 3-degenerate graphs
A Story of Suo Motos, Judicial Activism, and Article 184 (3)
Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities
Polymatrix Competitive Gradient Descent
Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples
Very Short Literature Survey From Supervised Learning To Surrogate Modeling
Optimizing a multi-state cold-standby system with multiple vacations in the repair and loss of units
Open Access: Who are the Ghost Readers?
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery
Computing all-vs-all MEMs in grammar-compressed text