yusuke1997/dblp-id-title huggingface dataset:
VisFly: An Efficient and Versatile Simulator for Training Vision-based Flight
Gaussian Two-way Relay Channel with Private Information for the Relay
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
Object 6D Pose Estimation with Non-local Attention
On the effect of symmetry requirement for rendezvous on the complete graph
Driving Generative Agents With Their Personality
Distribution-Free Testing of Linear Functions on R^n
A machine learning platform for development of low flammability polymers
Found a good match: should I keep searching? - Accuracy and Performance in Iris Matching Using 1-to-First Search
Towards Fast Stochastic Sampling in Diffusion Generative Models
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification
On the Performance Potential of Connection Fault-Tolerant Commit Processing in Mobile Environment
Competitive dynamics of lexical innovations in multi-layer networks
Statistical mechanics of reputation systems in autonomous networks
Automatic Controlling Fish Feeding Machine using Feature Extraction of Nutriment and Ripple Behavior
Mean Extinction Times of Epidemics with State-Dependent Infectiousness
2D implementation of Kinetic-diffusion Monte Carlo in Eiron
What happens when self-supervision meets Noisy Labels?
Exact Conditional and Unconditional Cramèr-Rao Bounds for Near Field Localization
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
Synergistic Deep Graph Clustering Network
A Particle-Flow Algorithm for Free-Support Wasserstein Barycenters
Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Faces
UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network
A parametric finite element method for the incompressible Navier-Stokes equations on an evolving surface
Redundancy-Aware Camera Selection for Indoor Scene Neural Rendering
Have You Poisoned My Data? Defending Neural Networks against Data Poisoning
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
Barycentric Coordinates as Interpolants
Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking
A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images
Entropy, cocycles, and their diagrammatics
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
Exact Indexing of Time Series under Dynamic Time Warping
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
Too Many Options: A Survey of ABE Libraries for Developers
Finding Scientific Communities In Citation Graphs: Convergent Clustering
Dynamics modelling and path optimization for the on-orbit assembly of large flexible structures using a multi-arm robot
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model
Theorema 2.0: A Graphical User Interface for a Mathematical Assistant System
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations
Generative QoE Modeling: A Lightweight Approach for Telecom Networks
Electro-Quasistatic Animal Body Communication for Chronic Untethered Rodent Biopotential Recording
DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation
Advancing Object-Centric Process Mining with Multi-Dimensional Data Operations
On the Deployment of Reconfigurable Intelligent Surfaces in the Presence of Blockages
A Temporally and Spatially Local Spike-based Backpropagation Algorithm to Enable Training in Hardware
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
Explicating feature contribution using Random Forest proximity distances
Active Negative Loss: A Robust Framework for Learning with Noisy Labels
Projected Wasserstein gradient descent for high-dimensional Bayesian inference
Sensor Management for Tracking in Sensor Networks
Human Pose Estimation using Motion Priors and Ensemble Models
PAC-Bayesian Optimal Control with Stability and Generalization Guarantees
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Location retrieval using visible landmarks based qualitative place signatures
Communication Layer Security in Smart Farming: A Survey on Wireless Technologies
Photo-Realistic Facial Details Synthesis from Single Immage
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
A description length approach to determining the number of k-means clusters
Position Paper: Challenges and Opportunities in Topological Deep Learning
Evidence for Non-Finite-State Computation in a Human Social System
Simple Wriggling is Hard unless You Are a Fat Hippo
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model
Analysis of a new implicit solver for a semiconductor model
The Value Problem for Weighted Timed Games with Two Clocks is Undecidable
Defining, measuring, and modeling passenger's in-vehicle experience and acceptance of automated vehicles
Emergency Route Selection for D2D Cellular Communications During an Urban Terrorist Attack
High-Order Langevin Monte Carlo Algorithms
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust
Joint Mapping and Calibration via Differentiable Sensor Fusion
CEM-Net: Cross-Emotion Memory Network for Emotional Talking Face Generation
SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning
FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
Combinatorial Pure Exploration of Dueling Bandit
Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
SegFormer Fine-Tuning with Dropout: Advancing Hair Artifact Removal in Skin Lesion Analysis
Gradual Session Types
Deep Coupling Network For Multivariate Time Series Forecasting
Pruning of Convolutional Neural Networks Using Ising Energy Model
A Graph-Attentive LSTM Model for Malicious URL Detection
Expressing Algorithms As Concise As Possible via Computability Logic
Majority-vote model on Opinion-Dependent Networks
A study on cross-corpus speech emotion recognition and data augmentation
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar
TNT-KID: Transformer-based Neural Tagger for Keyword Identification
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel
The Power of Strong Linearizability: the Difficulty of Consistent Refereeing
Improved Analysis for Graphic TSP Approximation via Matchings
Active Sybil Attack and Efficient Defense Strategy in IPFS DHT
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond
A Survey on Software Engineering Practices in Brazilian Startups
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
An unbiased estimate for the mean of a {0, 1} random variable with relative error distribution independent of the mean
Fault-tolerant linear solvers via selective reliability
An approach to hummed-tune and song sequences matching
Making the RANMAR pseudorandom number generator in LAMMPS up to four times faster, with an implementation of jump-ahead
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models
Text-to-Speech Pipeline for Swiss German - A comparison
Reminding Forgetful Organic Neuromorphic Device Networks
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks
Cluster-guided LLM-Based Anonymization of Software Analytics Data: Studying Privacy-Utility Trade-offs in JIT Defect Prediction
Mining Top-k Sequential Patterns in Database Graphs: A New Challenging Problem and a Sampling-based Approach
Faster Algorithms for Quantitative Analysis of Markov Chains and Markov Decision Processes with Small Treewidth
XML Information Retrieval Systems: A Survey
Covering point-sets with parallel hyperplanes and sparse signal recovery
A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans
Feature Tracks are not Zero-Mean Gaussian
Social contagion with degree-dependent thresholds
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study
Image recognition via Vietoris-Rips complex
Structured Prompting: Scaling In-Context Learning to 1, 000 Examples
Unsupervised Lexical Acquisition of Relative Spatial Concepts Using Spoken User Utterances
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics
GameLabel-10K: Collecting Image Preference Data Through Mobile Game Crowdsourcing
Distributed Interactive Proofs for Planarity with Log-Star Communication
IIITDWD-ShankarB@ Dravidian-CodeMixi-HASOC2021: mBERT based model for identification of offensive content in south Indian languages
Linear-Quadratic regulators for internal boundary control of lane-free automated vehicle traffic
A fixed point theorem for COFEs
Vulnerablity analysis of Azure Blockchain Workbench key management system
A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations
Function synthesis for maximizing model counting
Partial Proof of a Conjecture with Implications for Spectral Majorization
Data Assimilation for Combined Parameter and State Estimation in Stochastic Continuous-Discrete Nonlinear Systems
Freestyle Sketch-in-the-Loop Image Segmentation
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
Riemannian Denoising Diffusion Probabilistic Models
Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Efficient Stochastic Gradient Descent for Distributionally Robust Learning
A Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems
Exploring the Drivers and Barriers to Uptake for Digital Contact Tracing
Automatic marker-free registration based on similar tetrahedras for single-tree point clouds
FastMIM: Expediting Masked Image Modeling Pre-training for Vision
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network
Reasoning Can Hurt the Inductive Abilities of Large Language Models
Commuter networks and community detection: a method for planning sub regional areas
A Traffic-Aware Medium Access Control Mechanism for Energy-Efficient Wireless Network-on-Chip Architectures
Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
A Cost-Scaling Algorithm for Minimum-Cost Node-Capacitated Multiflow Problem
Generalized EXTRA stochastic gradient Langevin dynamics
Integrating Dynamic Correlation Shifts and Weighted Benchmarking in Extreme Value Analysis
Proceedings of the 13th International Colloquium on Implementation of Constraint and LOgic Programming Systems
Predictive Approaches For Gaussian Process Classifier Model Selection
Two stage cluster for resource optimization with Apache Mesos
Detecting Fake Job Postings Using Bidirectional LSTM
AlignCAT: Visual-Linguistic Alignment of Category and Attributefor Weakly Supervised Visual Grounding
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Reliable Messaging to Millions of Users with MigratoryData
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead
ScotGrid: A Prototype Tier 2 Centre
Deep Learning Models for Automatic Summarization
Spectrum sharing in energy harvesting cognitive radio networks: A cross-layer perspective
On game psychology: an experiment on the chess board/screen, should you always "do your best", and why the programs with prescribed weaknesses cannot be our good friends?
ShanghaiTech Mapping Robot is All You Need: Robot System for Collecting Universal Ground Vehicle Datasets
Boundary error control for numerical solution of BSDEs by the convolution-FFT method
Non-parametric convolution based image-segmentation of ill-posed objects applying context window approach
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
From Two Stream to One Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation
Dopamine modulation via memristive schematic
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
The Virtual Monte Carlo
Feedback alignment in deep convolutional networks
Toward Integrated Solutions: A Systematic Interdisciplinary Review of Cybergrooming Research
A New Distributed DC-Programming Method and its Application to Physical Layer Security
Kwai Keye-VL 1.5 Technical Report
Enhancing Construction Site Analysis and Understanding with 3D Segmentation
An Ensemble Approach to Acronym Extraction using Transformers
Semantic localization in BIM using a 3D LiDAR sensor
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
Distributed Remote Vector Gaussian Source Coding with Covariance Distortion Constraints
Random Walk Sampling for Big Data over Networks
Distillation of Discrete Diffusion by Exact Conditional Distribution Matching
Machine Learning with Probabilistic Law Discovery: A Concise Introduction
Security in Carrier Class Server Applications for All-IP Networks
Augmenting Control over Exploration Space in Molecular Dynamics Simulators to Streamline De Novo Analysis through Generative Control Policies
Distributed consensus on minimum time rendezvous via cyclic alternating projection
Integrating digital human modeling into virtual environment for ergonomic oriented design
Confidence Interval of Probability Estimator of Laplace Smoothing
Equivariant Manifold Neural ODEs and Differential Invariants
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks
Multivariate Goppa codes
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers
Modeling morphology with Linear Discriminative Learning: considerations and design choices
Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation
t-multiple discrete logarithm problem and solving difficulty
Fast and Interpretable Mortality Risk Scores for Critical Care Patients
SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification
Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia
Fisher-Riemann geometry for nonparametric probability densities
Grover's oracle for the Shortest Vector Problem and its application in hybrid classical-quantum solvers
Stochastic Calibration of Radio Interferometers
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
Discovering Markov Blanket from Multiple interventional Datasets
Graph-based representation for multiview image coding
Recognition of Isolated Words using Zernike and MFCC features for Audio Visual Speech Recognition
Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
A ROS Architecture for Personalised HRI with a Bartender Social Robot
Semantic Communications for Vehicle-Based Mission-Critical Services: Challenges and Solutions
Hybrid Indoor Localization via Reinforcement Learning-based Information Fusion
Distributed Power Allocation with Rate Constraints in Gaussian Frequency-Selective Interference Channels
Persistently Exciting Data-Driven Model Predictive Control
Computational Argumentation-based Chatbots: a Survey
Stability selection enables robust learning of partial differential equations from limited noisy data
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Explaining the Machine Learning Solution of the Ising Model
Bayesian Regression for Predicting Subscription to Bank Term Deposits in Direct Marketing Campaigns
Deep Learning-Aided MPC of Wind Farms for AGC Considering the Dynamic Wake Effect
A Stabilization of a Continuous Limit of the Ensemble Kalman Filter
Incomplete Iterative Solution of the Subdiffusion Problem
Flows, straight but not so fast: Exploring the design space of Rectified Flows in Protein Design
Piercing translates and homothets of a convex body
Computation in anonymous networks
Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics
SubTuning: Efficient Finetuning for Multi-Task Learning
Is Oracle Pruning the True Oracle?
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection
Two exact algorithms for the generalized assignment problem
On the Difficulty of Unbiased Alpha Divergence Minimization
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes
A Distributed Agent Based System to Control and Coordinate Large Scale Data Transfers
Self-Supervised Approach to Addressing Zero-Shot Learning Problem
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent
Algorithmic Verification of Single-Pass List Processing Programs
A Fuzzy Scheduling Strategy for Workflow Decision Making in Uncertain Edge-Cloud Environments
Semi-constrained Systems
Fully Automated Hand Hygiene Monitoring\\in Operating Room using 3D Convolutional Neural Network
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors
Proficiency-Aware Adaptation and Data Augmentation for Robust L2 ASR
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions
Non-Fungible Tokens in Business and Management - A Review
Improved Algorithms for Multi-period Multi-class Packing Problems with~Bandit~Feedback
Model-Based Reinforcement Learning for Sepsis Treatment
DAHiTrA: Damage Assessment Using a Novel Hierarchical Transformer Architecture
GRE: A Graph Runtime Engine for Large-Scale Distributed Graph-Parallel Applications
ABC(T)-graphs: an axiomatic characterization of the median procedure in graphs with connected and G 2 -connected medians
Compatibility and accessibility: lattice representation for semantics of non-classical and modal logics
EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model Reasoning
Learning to Communicate in UAV-aided Wireless Networks: Map-based Approaches
Learning Dynamic Embeddings from Temporal Interactions
Homogenization with Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks
Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework
Modern Coding Theory: The Statistical Mechanics and Computer Science Point of View
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems
OSNAP: Faster numerical linear algebra algorithms via sparser subspace embeddings
Failures to be celebrated: an analysis of major pivots of software startups
Pandora with Inaccurate Priors
On Avoidance Learning with Partial Observability
Randomized Kernel Multi-view Discriminant Analysis
Ergodic Interference Alignment with Delayed Feedback
Unified Capacity Limit of Non-coherent Wideband Fading Channels
Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation
Unsupervised Optical Flow Using Cost Function Unrolling
Generalized Visual Quality Assessment of GAN-Generated Face Images
A solution for applying IEC 61499 function blocks in the development of substation automation systems
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods
Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder
Local Routing on a Convex Polytope in R^3
A Spectral LOD Method for Multiscale Problems with High Contrast
Study of Channel Estimation with Oversampling for 1-bit Large-Scale MIMO Systems
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance
Adore: Differentially Oblivious Relational Database Operators
Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images
Super-Linear Growth of the Capacity-Achieving Input Support for the Amplitude-Constrained AWGN Channel
A Novel Approach For Discovery Multi Level Fuzzy Association Rule Mining
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration
Referential ambiguity and clarification requests: comparing human and LLM behaviour
Social Network Extraction: Superficial Method and Information Retrieval
Park visitation and walkshed demographics in the United States
Counteracts: Testing Stereotypical Representation in Pre-trained Language Models
A semantic-aided particle filter approach for AUV localization
Experiential Futures In-the-wild to Inform Policy Design
Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study
Robot Sequential Decision Making using LSTM-based Learning and Logical-probabilistic Reasoning
Visual speech recognition: aligning terminologies for better understanding
Security-Constrained AC/DC Grid Optimal Power Flow Considering Asymmetrical HVDC Grid Operation using Sparse Tableau Formulation
Blackout Mitigation via Physics-guided RL
Graph as Point Set
Inferring Underwater Topography with FINN
Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
Autonomous Functional Locomotion in a Tendon-Driven Limb via Limited Experience
Improved visual-information-driven model for crowd simulation and its modular application
Training neural control variates using correlated configurations
Parallel needed reduction for pure interaction nets
NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
Rethinking Information Theory for Mobile Ad Hoc Networks
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking
To whom did my vote go?
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
Stepping Lazy Programs
From Finite Elements to Hybrid High-Order methods
A QPTAS for Facility Location on Unit Disk graphs
Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism
Style is a Distribution of Features
From Limited Data to Rare-event Prediction: LLM-powered Feature Engineering and Multi-model Learning in Venture Capital
Voice command generation using Progressive Wavegans
Online Matroid Intersection: Submodular Water-Filling and Matroidal Welfare Maximization
Discovering Sensorimotor Agency in Cellular Automata using Diversity Search
Disentangling the Drivers of LLM Social Conformity: An Uncertainty-Moderated Dual-Process Mechanism
A New Generic Taxonomy on Hybrid Malware Detection Technique
Interpreting Predictive Process Monitoring Benchmarks