yusuke1997/dblp-id-title huggingface dataset:
007: Democratically Finding The Cause of Packet Drops
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey
DIGing-SGLD: Decentralized and Scalable Langevin Sampling over Time-Varying Networks
Gromov-Wassertein-like Distances in the Gaussian Mixture Models Space
Remote Pathological Gait Classification System
Can We Delegate Learning to Automation?: A Comparative Study of LLM Chatbots, Search Engines, and Books
FastDDS-Based Middleware System for Remote X-Ray Image Classification Using Raspberry Pi
CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy Optimization
The mean value of the squared path-difference distance for rooted phylogenetic trees
How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
A Picture is Worth a Thousand (Correct) Captions: A Vision-Guided Judge-Corrector System for Multimodal Machine Translation
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework
NFCU: A New Friendship-based Routing with Buffer Management in Opportunistic Networks
One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP
Mechanistic Interpretability of LoRA-Adapted Language Models for Nuclear Reactor Safety Applications
Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems
Toward More Effective Human Evaluation for Machine Translation
Multi-Domain Adaptation by Self-Supervised Learning for Speaker Verification
DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning
Broken Rail Detection With Texture Image Processing Using Two-Dimensional Gray Level Co-occurrence Matrix
Fuzzy Theory in Computer Vision: A Review
Graphs can be succinctly indexed for pattern matching in $ O(|E|^2 + |V|^{5 / 2}) $ time
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II
Efficient Differentiable Contact Model with Long-range Influence
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
AAPPeC: Agent-based Architecture for Privacy Payoff in eCommerce
Estimating snow cover from publicly available images
Image Compressive Sensing Recovery Using Group Sparse Coding via Non-convex Weighted Lp Minimization
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Evaluation of Machine Learning Models in Student Academic Performance Prediction
Aspects of Assembly and Cascaded Aspects of Assembly: Logical and Temporal Properties
Virtual Laboratory: Enabling On-Demand Drug Design with the World Wide Grid
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions
Schrodinger equation and wave equation on finite graphs
Floor Scale Modulo Lifting for QC-LDPC codes
A note on numerical singular values of compositions with non-compact operators
TCM-SD: A Large Dataset for Syndrome Differentiation in Traditional Chinese Medicine
Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection
MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction
Goal oriented indicators for food systems based on FAIR data
Stochastic virtual element methods for uncertainty propagation of stochastic linear elasticity
Boosting Cross-Quality Face Verification using Blind Face Restoration
Societal citations undermine the function of the science reward system
A New Lower Bound for Agnostic Learning with Sample Compression Schemes
String commitment from unstructured noisy channels
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams
Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
3D View Prediction Models of the Dorsal Visual Stream
Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies
The effects of using created synthetic images in computer vision training
Contrastive Learning-Based Spectral Knowledge Distillation for Multi-Modality and Missing Modality Scenarios in Semantic Segmentation
An Overview of the Security Concerns in Enterprise Cloud Computing
Fundamental Limits of Communications in Interference Networks-Part II: Information Flow in Degraded Networks
Representation Learning with Multisets
Unprotected 4G/5G Control Procedures at Low Layers Considered Dangerous
A Graphics Function Standard Specification Validator
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
Bayesian Approach to Inverse Time-harmonic Acoustic Scattering from Sound-soft Obstacles with Phaseless Data
The Approximation Ratio of the k-Opt Heuristic for the Euclidean Traveling Salesman Problem
Reliability and repeatability of ISO 3382-3 metrics based on repeated acoustic measurements in open-plan offices
Examining the Difference Among Transformers and CNNs with Explanation Methods
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey
Four-Dimensional Elastically Deformed Simplex Space-Time Meshes for Domains with Time Variant Topology
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition
Risk Estimation in Differential Fuzzing via Extreme Value Theory
Training Language Models with Language Feedback at Scale
A 14uJ/Decision Keyword Spotting Accelerator with In-SRAM-Computing and On Chip Learning for Customization
A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
Detecting Harmful Memes with Decoupled Understanding and Guided CoT Reasoning
Discovering Multiple and Diverse Directions for Cognitive Image Properties
RExBench: Can coding agents autonomously implement AI research extensions?
Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding
Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy
Autonomous Station Keeping of Satellites in Areostationary Mars Orbit: A Predictive Control Approach
Improved Rank Aggregation under Fairness Constraint
Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations
Experimental verification of the quantum nature of a neural network
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior
Learning Local Feature Aggregation Functions with Backpropagation
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization
A probabilistic demand side management approach by consumption admission control
Classification for everyone : Building geography agnostic models for fairer recognition
Sonification in security operations centres: what do security practitioners think?
Searching the Nodes of a Graph: Theory and Algorithms
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping
Topological Data Analysis of Single-cell Hi-C Contact Maps
A Convenient Category for Higher-Order Probability Theory
Dynamic Neural Network Decoupling
Congestion Avoidance in Computer Networks with a Connectionless Network Layer
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
Approximate Topological Optimization using Multi-Mode Estimation for Robot Motion Planning
A Polynomial-time Algorithm to Achieve Extended Justified Representation
Our Practice Of Using Machine Learning To Recognize Species By Voice
On depth spectra of constacyclic codes over finite commutative chain rings
The Long, the Short and the Random
Synchronization dynamics on the picosecond timescale in coupled Josephson junction neurons
Data-driven Viscosity Solver for Fluid Simulation
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing
Analyzing the Machine Learning Conference Review Process
Framework for an Integrated Learning Block with CDIO-led Engineering Education
Modeling Reachability Types with Logical Relations
Language statistics at different spatial, temporal, and grammatical scales
A Family of Hybrid Random Number Generators with Adjustable Quality and Speed
ACD: Direct Conditional Control for Video Diffusion Models via Attention Supervision
Meta-learning Causal Discovery
Student-t processes as infinite-width limits of posterior Bayesian neural networks
A picture is worth a thousand words but how to organize thousands of pictures?
Misspecification-robust Sequential Neural Likelihood
Better scalability under potentially heavy-tailed feedback
deep-REMAP: Probabilistic Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
Extremality and Sharp Bounds for the k-edge-connectivity of Graphs
Minimal Arrangements of Spherical Geodesics
A conditional bound on sphere tangencies in all dimensions
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
A Non Linear Multifractal Study to Illustrate the Evolution of Tagore Songs Over a Century
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
Classifying k-Edge Colouring for H-free Graphs
Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray computed tomography: a survey
TetriServe: Efficient DiT Serving for Heterogeneous Image Generation
SRPCN: Structure Retrieval based Point Completion Network
PushPush is NP-hard in 3D
Assessing Changes in Thinking about Troubleshooting in Physical Computing: A Clinical Interview Protocol with Failure Artifacts Scenarios
Exact Calculation of Quantum Thermal Average from Continuous Loop Path Integral Molecular Dynamics
Scaling Datalog for Machine Learning on Big Data
A Novel Explainable Artificial Intelligence Model in Image Classification problem
Quantum and classical query complexities for determining connectedness of matroids
Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images
RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
A Bi-level assessment of Twitter in predicting the results of an election: Delhi Assembly Elections 2020
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
A space-time multiscale method for parabolic problems
Towards Secure and Efficient Payment Channels
Self-supervised Photographic Image Layout Representation Learning
Crack Detection in Infrastructure Using Transfer Learning, Spatial Attention, and Genetic Algorithm Optimization
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection
Model-Parallel Inference for Big Topic Models
Understanding Cognitive States from Head & Hand Motion Data
Coverage and Capacity of Joint Communication and Sensing in Wireless Networks
LiDAR Point Cloud Segmentation via Minimum-cost Perfect Matching in a Bipartite Graph
Queue-Channel Capacities with Generalized Amplitude Damping
Hybrid-Code: A Privacy-Preserving, Redundant Multi-Agent Framework for Reliable Local Clinical Coding
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks
On evaluation of permanents
Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics
A Generalized Framework for Ontology-Based Information Retrieval Application to a public-transportation system
Learning to Drive Ethically: Embedding Moral Reasoning into Autonomous Driving
RIS-based Communication Enhancement and Location Privacy Protection in UAV Networks
Gastro-Intestinal Tract Segmentation Using an Explainable 3D Unet
Enhanced Quantum Key Distribution using Hybrid Channels and Natural Random Numbers
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
Turnpike Properties in Optimal Control: An Overview of Discrete-Time and Continuous-Time Results
Boundary-Denoising for Video Activity Localization
Trustworthiness of X Users: A One-Class Classification Approach
Semantic Matching from Different Perspectives
Physically Based Neural LiDAR Resimulation
A Survey on Modern Code Review: Progresses, Challenges and Opportunities
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection
Flexible SQLf query based on fuzzy linguistic summaries
One SQL to Rule Them All
Residual Diffusion Bridge Model for Image Restoration
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning
Universal vulnerability in strong modular networks with various degree distributions between inequality and equality
Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models
CAT: Collaborative Adversarial Training
Music Composition Using Quantum Annealing
Deep Representation Learning and Clustering of Traffic Scenarios
Comprehensive Formal Verification of Observational Correctness for the CHERIoT-Ibex Processor
NVBleed: Covert and Side-Channel Attacks on NVIDIA Multi-GPU Interconnect
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset
Classic algorithms are fair learners: Classification Analysis of natural weather and wildfire occurrences
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value
Controllable Text Generation in the Instruction-Tuning Era
A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine
Structured Singular Value of a Repeated Complex Full Block Uncertainty
A feature refinement module for light-weight semantic segmentation network
Simulation assisted machine learning
Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques
Convex-area-wise Linear Regression and Algorithms for Data Analysis
Pricing Multi-Interval Dispatch under Uncertainty Part II: Generalization and Performance
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Prompt Engineering a Schizophrenia Chatbot: Utilizing a Multi-Agent Approach for Enhanced Compliance with Prompt Instructions
T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation
NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations
VLM-SlideEval: Evaluating VLMs on Structured Comprehension and Perturbation Sensitivity in PPT
Minimal linear codes from characteristic functions
Getting the best from skylines and top-k queries
UK General Election 2017: a Twitter Analysis
Normal-bundle Bootstrap
Achieving Diverse Objectives with AI-driven Prices in Deep Reinforcement Learning Multi-agent Markets
Quantifying detection rates for dangerous capabilities: a theoretical model of dangerous capability evaluations
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances
Case Studies: Business and Technical Perspectives in Migration of Legacy Systems to Service Oriented Architecture
Agent Probing Interaction Policies
Attitude Control of a Novel Tailsitter: Swiveling Biplane-Quadrotor
Pneumatic Shape-shifting Fingers to Reorient and Grasp
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots
ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning through Action in Dynamic Offer Optimization
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes
Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview
Nonparametric learning of stochastic differential equations from sparse and noisy data
Force-Limited Control of Wave Energy Converters using a Describing Function Linearization
Performance Analysis of an Interference-Limited RIS-Aided Network
A Generalization of Transformer Networks to Graphs
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Ethernet Packet Processor for SoC Application
Identifying Grey-box Thermal Models with Bayesian Neural Networks
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations
Synergizing Roadway Infrastructure Investment with Digital Infrastructure: Motivations, Current Status and Future Direction
ZeroFlow: Fast Zero Label Scene Flow via Distillation
A public transit network optimization model for equitable access to social services
Design and Optimization of Reconfigurable Intelligent Surfaces Using the PEEC Method
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Ginzburg-Landau Functionals in the Large-Graph Limit
Hypersparse Traffic Matrix Construction using GraphBLAS on a DPU
Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap
Memory and forecasting capacities of nonlinear recurrent networks
crypto price prediction using lstm+xgboost
Engagement Detection in Meetings
Unstructured Data Analysis using LLMs: A Comprehensive Benchmark
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
Quantum Carry Lookahead Adders for NISQ and Quantum Image Processing
Towards an Author-Topic-Term-Model Visualization of 100 Years of German Sociological Society Proceedings
Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder
A Note on Parallel Algorithmic Speedup Bounds
Are You Listening to Me? Fine-Tuning Chatbots for Empathetic Dialogue
Automated Reasoning for Vulnerability Management by Design
Feature Selection Facilitates Learning Mixtures of Discrete Product Distributions
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
A Multi-Component AI Framework for Computational Psychology: From Robust Predictive Modeling to Deployed Generative Dialogue
SPADE: Sequential-clustering Particle Annihilation via Discrepancy Estimation
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
A QUBO Formulation for Minimum Loss Spanning Tree Reconfiguration Problems in Electric Power Networks
A Modular Formalization of Reversibility for Concurrent Models and Languages
EchoLeak: The First Real-World Zero-Click Prompt Injection Exploit in a Production LLM System
Automatic Forecasting using Gaussian Processes
Automatic Recognition and Classification of Future Work Sentences from Academic Articles in a Specific Domain
On the capacity limit of wireless channels under colored scattering
Dynamic optical contrast imaging for real-time delineation of tumor resection margins using head and neck cancer as a model
PINN Training using Biobjective Optimization: The Trade-off between Data Loss and Residual Loss
Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks
Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models
Explicit error bound for modified numerical iterated integration by means of Sinc methods
Discrete Cosine Transform in JPEG Compression
A Fully Probabilistic Tensor Network for Regularized Volterra System Identification
Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation
Decoding Reed-Muller Codes Using Minimum-Weight Parity Checks
Optimal steering of a linear stochastic system to a final probability distribution
Deepsea: A Meta-ocean Prototype for Undersea Exploration
Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance
Quantitative Quantum Soundness for Bipartite Compiled Bell Games via the Sequential NPA Hierarchy
Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy
FCoT-VL:Advancing Text-oriented Large Vision-Language Models with Efficient Visual Token Compression
An FPGA cached sparse matrix vector product (SpMV) for unstructured computational fluid dynamics simulations
PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
When G^2 is a Konig-Egervary graph?
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
CITlab ARGUS for Arabic Handwriting
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
minimUML: A Minimalist Approach to UML Diagraming for Early Computer Science Education
Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving
Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling
Spectrum Sharing between Cooperative Relay and Ad-hoc Networks: Dynamic Spectrum Access, Resource Allocation and Real-time Implementation
An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws
A Conservation Law Method in Optimization
Jekyll-and-Hyde Tipping Point in an AI's Behavior
An Evaluation of Representation Learning Methods in Particle Physics Foundation Models
OmniJet-α C : Learning point cloud calorimeter simulations using generative transformers
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph
The Online Patch Redundancy Eliminator (OPRE): A novel approach to online agnostic continual learning using dataset compression
Divergence of Empirical Neural Tangent Kernel in Classification Problems
Abelian-Square-Rich Words
Highly Available Data Parallel ML training on Mesh Networks
"Get a Free Item Pack with Every Activation!" - Do Incentives Increase the Adoption Rates of Two-Factor Authentication?
Modeling the Dynamics of Infectious Diseases in Different Scale-Free Networks with the Same Degree Distribution
EYNet: Extended YOLO for Airport Detection in Remote Sensing Images
EDNA-Covid: A Large-Scale Covid-19 Tweets Dataset Collected with the EDNA Streaming Toolkit
A Deep Patent Landscaping Model using Transformer and Graph Convolutional Network