yusuke1997/dblp-id-title huggingface dataset:
"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives
VOX-KRIKRI: Unifying Speech and Language through Continuous Fusion
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Unsupervised Mismatch Localization in Cross-Modal Sequential Data
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
Differential Privacy for Network Assortativity
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Track Anything Annotate: Video annotation and dataset generation of computer vision models
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
A superconvergent HDG method for Stokes flow with strongly enforced symmetry of the stress tensor
S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels
How to improve the interpretability of kernel learning
ChromoSkein: Untangling Three-Dimensional Chromatin Fiber With a Web-Based Visualization Framework
Tackling A Class of Hard Subset-Sum Problems: Integration of Lattice Attacks with Disaggregation Techniques
Substring Suffix Selection
Quantum Advantage with Shallow Circuits under Arbitrary Corruption
The algebra of splines: duality, group actions and homology
Graph Neural Networks embedded into Margules model for vapor-liquid equilibria prediction
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Verti-Bench: A General and Scalable Off-Road Mobility Benchmark for Vertically Challenging Terrain
Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
On MDS Condition and Erased Lines Recovery of Generalized Expanded-Blaum-Roth Codes and Generalized Blaum-Roth Codes
Comparing LLMs for Sentiment Analysis in Financial Market News
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
A novel design of hidden web crawler using ontology
Property and structure in constructive analysis
Self-supervised Learning of Neural Implicit Feature Fields for Camera Pose Refinement
A Quantum Computing Approach for Multi-robot Coverage Path Planning
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance
Maximum Causal Entropy Inverse Constrained Reinforcement Learning
ROMNet: Renovate the Old Memories
Custom Extended Sobel Filters
A Neural-Network-Based Approach for Loose-Fitting Clothing
Bricks and conjectures of Berge, Fulkerson and Seymour
Efficient Swap Multicalibration of Elicitable Properties
Network dismantling
On the condition number of the shifted real Ginibre ensemble
Half-Duplex or Full-Duplex Relaying: A Capacity Analysis under Self-Interference
Does Tone Change the Answer? Evaluating Prompt Politeness Effects on Modern LLMs: GPT, Gemini, LLaMA
Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees
TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World
Face Recognition in the age of CLIP & Billion image datasets
The Problem of Atypicality in LLM-Powered Psychiatry
Weakly Supervised Caveline Detection For AUV Navigation Inside Underwater Caves
Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editing
A positive and moment-preserving Fourier spectral method
Continuous-time Signal Temporal Logic Planning with Control Barrier Function
ProtoEFNet: Dynamic Prototype Learning for Inherently Interpretable Ejection Fraction Estimation in Echocardiography
Maximum values of the Sombor-index-like graph invariants of connected graphs
Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image
Thermodynamic cost due to changing the initial distribution over states
How the notion of ACCESS guides the organization of a European research infrastructure: the example of DARIAH
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth
Hybrid Character Sums From Vectorial Dual-Bent Functions and Asymptotically Optimal Complex Codebooks With Small Alphabet Sizes
An Algorithm for Illuminating n Nonoverlapping Circular Discs' Boundaries on the Plane with Application to Tree Stem Illumination Problem
Architecture for Cooperative Prefetching in P2P Video-on- Demand System
THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation
Stochastic Channel Models for Massive and XL-MIMO Systems
An Online Hierarchical Algorithm for Extreme Clustering
Identifying Similarities in Epileptic Patients for Drug Resistance Prediction
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Online Learning of Deceptive Policies under Intermittent Observation
Decomposition of Kolmogorov Complexity And Link To Geometry
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
Risk Automatic Prediction for Social Economy Companies using Camels
String stability and a delay-based spacing policy for vehicle platoons subject to disturbances
When more of the same is better
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications
Computational Spectral Imaging: A Contemporary Overview
Revisiting Hierarchical Text Classification: Inference and Metrics
Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic
Angular Control Charts: A New Perspective for Monitoring Reliability of Multi-State Systems
Bayes' capacity as a measure for reconstruction attacks in federated learning
The Role of Net-Zero Energy Residential Buildings in Florida's Energy Transition: Economic Analysis and Technical Benefits
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems
DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
Augmented Segmentation and Visualization for Presentation Videos
Identifying statistical dependence in genomic sequences via mutual information estimates
Scientific Computing Meets Big Data Technology: An Astronomy Use Case
Understanding Contrastive Learning via Gaussian Mixture Models
DNS Tunneling: A Deep Learning based Lexicographical Detection Approach
Homotopies in Multiway (Non-Deterministic) Rewriting Systems as n-Fold Categories
FairSeg: A Large-scale Medical Image Segmentation Dataset for Fairness Learning with Fair Error-Bound Scaling
Implicit Incorporation of Heuristics in MPC-Based Control of a Hydrogen Plant
Emotional Contagion in Code: How GitHub Emoji Reactions Shape Developer Collaboration
Methodological monotheism across fields of science in contemporary quantitative research
Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution
Secure Comparison Without Explicit XOR
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Phase Transition for Stochastic Block Model with more than √n Communities (II)
Physical configurations of a cell doublet with line tension, a theoretical study
Fair Distributed Cooperative Bandit Learning on Networks for Intelligent Internet of Things Systems (Technical Report)
Deep learning for structural health monitoring: An application to heritage structures
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks
A Novel Preconditioning Framework for Solving Nonlinear PDEs based on Fenchel-Rockafellar Duality and Transformed Primal-Dual Techniques
STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters
Optimized Parallel Transmission in Elastic Optical Networks to Support High-Speed Ethernet
MagNet: a Two-Pronged Defense against Adversarial Examples
On the factorization of matrices into products of positive definite ones
Cross-artform performance using networked interfaces: Last Man to Die's Vital LMTD
HACSurv: A Hierarchical Copula-based Approach for Survival Analysis with Dependent Competing Risks
Building Statistical Shape Spaces for 3D Human Modeling
Random-bit optimal uniform sampling for rooted planar trees with given sequence of degrees and Applications
A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models
Exact Learning of Arithmetic with Differentiable Agents
Emergence of Cooperation and Commitment in Optional Prisoner's Dilemma
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks
Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks
SPOT: Text Source Prediction from Originality Score Thresholding
SpEx: A Spectral Approach to Explainable Clustering
Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer
State-of-charge Estimation of a Li-ion Battery using Deep Learning and Stochastic Optimization
Gaussian Representation for Deformable Image Registration
HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators
Computation and Communication Co-scheduling for Timely Multi-Task Inference at the Wireless Edge
Curricula for Learning Robust Policies with Factored State Representations in Changing Environments
A Direct Coupling Coherent Quantum Observer
Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
Joint Security-vs-QoS Game Theoretical Optimization for Intrusion Response Mechanisms for Future Network Systems
The detector principle of constructing artificial neural networks as an alternative to the connectionist paradigm
DeepWalking: Enabling Smartphone-based Walking Speed Estimation Using Deep Learning
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning
Switching Strategies for Linear Feedback Stabilization with Sparsified State Measurements
Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
Tracking Wildfire Assets with Commodity RFID and Gaussian Process Modeling
Buggin: Automatic intrinsic bugs classification model using NLP and ML
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping
JugglePAC: A Pipelined Accumulation Circuit
Learning Only with Images: Visual Reinforcement Learning with Reasoning, Rendering, and Visual Feedback
Synthesizing Coupling Proofs of Differential Privacy
TF-MoDISco v0.4.4.2-alpha: Technical Note
An Algebraic Approach for Approximity
Nonlinear functional regression by functional deep neural network with kernel embedding
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving
FFT, FMM, or MULTIGRID? A comparative study of state-of-the-art poisson solvers
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data
FSGS: An unlikely result
Evaluating the performance and fragility of large language models on the self-assessment for neurological surgeons
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space
Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories
Strategic Decision Making in the Planning of Integrated Multi-energy Networks Under Uncertainty
On Periodicity and Complexity of Generalized Pseudostandard Words
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs
1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking
Overlapped Arithmetic Codes
CNN architecture extraction on edge GPU
Optimal repair of Reed-Solomon codes: Achieving the cut-set bound
Deep Learning-Based Cross-Anatomy CT Synthesis Using Adapted nnResU-Net with Anatomical Feature Prioritized Loss
PMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos
ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
Gotta Hash 'Em All! Speeding Up Hash Functions for Zero-Knowledge Proof Applications
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
On the influence of topological characteristics on robustness of complex networks
Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity?
Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs
C-DLinkNet: considering multi-level semantic features for human parsing
Efficient management of IT Infrastructure implementation and support at enterprise level
Why compensating fibre nonlinearity will never meet capacity demands
Deep regression on manifolds: a 3D rotation case study
ExDBN: Exact learning of Dynamic Bayesian Networks
CompanionCast: A Multi-Agent Conversational AI Framework with Spatial Audio for Social Co-Viewing Experiences
Distributed Filter Design for Cooperative H-Infinity-Type Estimation
OmniGenome: Aligning RNA Sequences with Secondary Structures in Genomic Foundation Models
On the ability of neural nets to express distributions
Can a Mobile Game Teach Computer Users to Thwart Phishing Attacks?
PerfDetectiveAI - Performance Gap Analysis and Recommendation in Software Applications
Style Attack Disguise: When Fonts Become a Camouflage for Adversarial Intent
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks
Hatching-Box: Monitoring the Rearing Process of Drosophila Using an Embedded Imaging and in-vial Detection System
VLSP 2023 - LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
YouTube-8M: A Large-Scale Video Classification Benchmark
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning
ONER: Tool for Organization Named Entity Recognition from Affiliation Strings in PubMed Abstracts
Formalizing Schwartz functions and tempered distributions
Canonical bidirectional typechecking
LLM Based Multi-Document Summarization Exploiting Main-Event Biased Monotone Submodular Content Extraction
Model Extraction and Active Learning
Heterogeneous multireference alignment: a single pass approach
Semi-Automatic Terminology Ontology Learning Based on Topic Modeling
Multi-user Massive MIMO Communication Systems Based on Irregular Antenna Arrays
Quantum Recurrent Neural Networks for Sequential Learning
Beyond Cosine Similarity Magnitude-Aware CLIP for No-Reference Image Quality Assessment
AutoTSG: Learning and Synthesis for Incident Troubleshooting
Evolving Agents: Interactive Simulation of Dynamic and Diverse Human Personalities
Explainability in autonomous pedagogically structured scenarios
Senx: Sound Patch Generation for Security Vulnerabilities
Transferable Class Statistics and Multi-scale Feature Approximation for 3D Object Detection
A Comprehensive Survey on Enterprise Financial Risk Analysis: Problems, Methods, Spotlights and Applications
Resonance: Transaction Fees for Heterogeneous Computation
An a posteriori error analysis based on equilibrated stresses for finite element approximations of frictional contact
State of the Art of Augmented Reality (AR) Capabilities for Civil Infrastructure Applications
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models
Short Block-length Codes for Ultra-Reliable Low-Latency Communications
Capacity Limits of Diffusion-Based Molecular Timing Channels
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching
Patent Mining by Extracting Functional Analysis Information Modelled As Graph Structure: A Patent Knowledge-base Collaborative Building Approach
The prolonged service time at non-dedicated servers in a pooling system
Multi-Head Online Learning for Delayed Feedback Modeling
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network
Stable diffusion for Data Augmentation in COCO and Weed Datasets
The Westervelt-Rayleigh-Plesset model of ultrasound contrast imaging with microbubbles: analysis and simulation
Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations
The identities of additive binary arithmetics
PerceptronCARE: A Deep Learning-Based Intelligent Teleophthalmology Application for Diabetic Retinopathy Diagnosis
FaasKeeper: a Blueprint for Serverless Services
Co-channel Coexistence: Let ITS-G5 and Sidelink C-V2X Make Peace
Geometric scaling: a simple and effective preconditioner for linear systems with discontinuous coefficients
Adaptive Cluster Expansion (ACE): A Multilayer Network for Estimating Probability Density Functions
Weakly-supervised Learning of Human Dynamics
On The Fly Diffie Hellman for IoT
QuickMergesort: Practically Efficient Constant-Factor Optimal Sorting
Cloud-Native Computing: A Survey from the Perspective of Services
Spread Divergences
Who's the (Multi-)Fairest of Them All : Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Inverse reinforcement learning conditioned on brain scan
A UML-based Approach to Design Parallel and Distributed Applications
A Theory of Unimodal Bias in Multimodal Learning
Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents
Towards A Marketplace for Mobile Content: Dynamic Pricing and Proactive Caching
Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data
Flexibility Management in Economic Dispatch with Dynamic Automatic Generation Control
Global convergence of Oja's component flow for general square matrices and its applications
Robust Independence Tests with Finite Sample Guarantees for Synchronous Stochastic Linear Systems
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
A Reverse Reachable Set Based Approach for Motif Oriented Profit maximization in Social Networks
Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds
chatClimate: Grounding Conversational AI in Climate Science
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks
P-4DGS: Predictive 4D Gaussian Splatting with 90⨉ Compression
Some long-period random number generators using shifts and xors
Test-takers have a say: understanding the implications of the use of AI in language tests
Goal-Driven Dynamics Learning via Bayesian Optimization
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Multimodal Federated Learning in Healthcare: a review
Temporally-Evolving Generalised Networks and their Reproducing Kernels
Energy Aware Node Selection for Cluster-based Data Accuracy Estimation in Wireless Sensor Networks
SSS* = Alpha-Beta + TT
AI in Finance: Challenges, Techniques and Opportunities
Deep Learning Methods for Signature Verification
Strong c-concavity and stability in optimal transport
Neural Encoding for Image Recall: Human-Like Memory
Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices
Filtering Homogeneous Observer for MIMO System
Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG
Psychological Aspects of Pair Programming
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
DADS Under Unknown Input Coefficients
On the Synthesis of Reactive Collision-Free Whole-Body Robot Motions: A Complementarity-based Approach
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks
Behavioral Cloning Models Reality Check for Autonomous Driving
Similarity Driven Approximation for Text Analytics
CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks
Modular Workflow Engine for Distributed Services using Lightweight Java Clients
Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring
A role of constraint in self-organization
3-D Reciprocal Collision Avoidance on Physical Quadrotor Helicopters with On-Board Sensing for Relative Positioning
Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification
High Mutual Information in Representation Learning with Symmetric Variational Inference
Broadcast Channels with Privacy Leakage Constraints
OPSD: an Offensive Persian Social media Dataset and its baseline evaluations
Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model
Constructing disjoint Steiner trees in Sierpiński graphs
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
Linking the Network Centrality Measures Closeness and Degree
Time-bounded Reachability for Hybrid Automata: Complexity and Fixpoints
Process Mining on Uncertain Event Data
Efficient Generation of Parallel Spin-images Using Dynamic Loop Scheduling
The Complexity of Second-order HyperLTL
Latent Variable Modelling Using Variational Autoencoders: A survey
Collaborative Filtering with Stability
On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications
Complexity of Manipulation in Elections with Partial Votes
A Human-in-the-loop Approach to Robot Action Replanning through LLM Common-Sense Reasoning
Embedding of binary image in the Gray planes
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features
Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor
NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability
Virtual Agent-Based Communication Skills Training to Facilitate Health Persuasion Among Peers
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
Solution decomposition for the nonlinear Poisson-Boltzmann equation using the range-separated tensor format
Survey of Human Factors in Crisis Responsive Software Development
Reduction of detection limit and quantification uncertainty due to interferent by neural classification with abstention
Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization
Approximation and FPT Algorithms for Finding DM-Irreducible Spanning Subgraphs
MultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanism
The Mixtures and the Neural Critics: On the Pointwise Mutual Information Profiles of Fine Distributions
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers?
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation
Photographic home styles in Congress: a computer vision approach