yusuke1997/dblp-id-title huggingface dataset:
Topology optimization of fluidic pressure-driven multi-material compliant mechanisms
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
Reinforced Deep Markov Models With Applications in Automatic Trading
Deep Learning Approaches for Multimodal Intent Recognition: A Survey
Causal Deep Information Bottleneck
Action for Better Prediction
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection
Multiple Set Matching and Pre-Filtering with Bloom Multifilters
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections
Spatiotemporal Motion Synchronization for Snowboard Big Air
Complex Locomotion Skill Learning via Differentiable Physics
MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
Dynamic neuronal networks efficiently achieve classification in robotic interactions with real-world objects
Convo: What does conversational programming need? An exploration of machine learning interface design
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping
TACS-Graphs: Traversability-Aware Consistent Scene Graphs for Ground Robot Indoor Localization and Mapping
Mismatched Estimation in Large Linear Systems
A Hand Combining Two Simple Grippers to Pick up and Arrange Objects for Assembly
Mixed Autonomy in Ride-Sharing Network
Privacy-preserving Analysis of Correlated Data
Algorithm xxx: RIDC Methods - A Family of Parallel Time-Integrators
Analysis and Forecasting of the Dynamics of a Floating Wind Turbine Using Dynamic Mode Decomposition
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
A Robot Leg with Compact Variable Stiffness Joint based on Leaf-Spring Mechanism
Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers
Matrix-Product Complementary dual Codes
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles
Quantifying the effect of representations on task complexity
FAIR Ecosystems for Science at Scale
A Novel Approach to Fully Private and Secure Auction: A Sealed Bid Knapsack Auction
Generative Adversarial Network using Perturbed-Convolutions
Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection
Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed
Whisper Leak: a side-channel attack on Large Language Models
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models
Evaluating Classification Systems Against Soft Labels with Fuzzy Precision and Recall
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information
Comparing Dialectical Systems: Contradiction and Counterexample in Belief Change (Extended Version)
Application of Ontologies in Cloud Computing: The State-Of-The-Art
Initial Algebras of Domains via Quotient Inductive-Inductive Types
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search
Robot-stated limitations but not intentions promote user assistance
Universality of parametric Coupling Flows over parametric diffeomorphisms
Anatomy of High-Performance Column-Pivoted QR Decomposition
Rethinking Information Sharing for Actionable Threat Intelligence
Discovering Diverse Solutions in Deep Reinforcement Learning
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
Deep Learning Models for Multilingual Hate Speech Detection
Recognition and Isomorphism of Proper U-graphs in FPT-time
β-VAEs can retain label information even at high compression
Competitive Analysis for sum stretch on single and identical parallel machines
Holder Recommendations using Graph Representation Learning & Link Prediction
Automated Instantiation of Control Flow Tracing Exercises
Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation
Class-aware Sounding Objects Localization via Audiovisual Correspondence
A Quotient Space Formulation for Statistical Analysis of Graphical Data
MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions
An FPTAS for the Δ-modular multidimensional knapsack problem
A model of student's dilemma
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Controllable Patching for Compute-Adaptive Surrogate Modeling of Partial Differential Equations
Prospects of federated machine learning in fluid dynamics
The Analogue Computer as a Voltage-Controlled Synthesiser
Load Balancing using Hilbert Space-filling Curves for Parallel Reservoir Simulations
CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series
Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia
Automatically detecting the conflicts between software requirements based on finer semantic analysis
Prompt fidelity of ChatGPT4o / Dall-E3 text-to-image visualisations
An Algorithm for the Longest Common Subsequence and Substring Problem for Multiple Strings
Fluctuations of The Symmetric Perceptron
MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft
Arbitration-Free Consistency is Available (and Vice Versa)
Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos
APGNet: Adaptive Prior-Guided for Underwater Camouflaged Object Detection
Predicting Out-of-Domain Generalization with Local Manifold Smoothness
A Tighter Insertion-based Approximation of the Crossing Number
From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development - An Opinion Paper
Refining Reasoning in Qualitative Probabilistic Networks
Investigating Youths' Everyday Understanding of Machine Learning Applications: a Knowledge-in-Pieces Perspective
A Reference Framework for Variability Management of Software Product Lines
HAMLET: Hyperadaptive Agent-based Modeling for Live Embodied Theatrics
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
Draw a Portrait of Your Graph Data: An Instance-Level Profiling Framework for Graph-Structured Data
Automated Reasoning in Blockchain: Foundations, Applications, and Frontiers
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks
An Information-theoretic Model for Knowledge Sharing in Opportunistic Social Networks
On Kenn's Rule of Combination Applied to Breast Cancer Precision Therapy
The $H_2$ Control Problem for Decentralized Systems with Delays
Learning convex bodies is hard
Time-to-reach Bounds for Verification of Dynamical Systems Using the Koopman Spectrum
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Infectivity Enhances Prediction of Viral Cascades in Twitter
Oscillations of simple networks
Pyramid Mask Text Detector
On the minimum order of a quadrangulation on a given closed 2-manifold
A comparative analysis of the geometrical surface texture of a real and virtual model of a tooth flank of a cylindrical gear
Measuring Human Assessed Complexity in Synthetic Aperture Sonar Imagery Using the Elo Rating System
Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy
Impacto de Treinamento em Programação Competitiva no Ensino Médio: Resultados e Desafios
Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play
Metric mean dimension and analog compression
Approximating Quadratic 0-1 Programming via SOCP
Inter/extrapolation-based multirate schemes - a dynamic-iteration perspective
On the Secure Degrees of Freedom of the K-user MAC and 2-user Interference Channels
Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023
Relativistic Digital Twin: Bringing the IoT to the Future
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis
Competitive Online Selection in Main and External Memory
The Predictable Leading Monomial Property for Linearized Polynomials and Gabidulin List-Decoding
Moving Toward High Precision Dynamical Modelling in Hidden Markov Models
Complex Field-Trainable ISTA for Linear and Nonlinear Inverse Problems
High Performance Block Incomplete LU Factorization
QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
PyTorch Hyperparameter Tuning - A Tutorial for spotPython
Occams Razor for Big Data? On Detecting Quality in Large Unstructured Datasets
On the Stability of Sparse Convolutions
Multidimensional Hopfield Networks for clustering
Analysing and Modelling of Discretionary Lane Change Duration Considering Driver Heterogeneity
On the Utility of Context (or the Lack Thereof) for Object Detection
Device Tuning for Multi-Task Large Model
Parameter Norm Growth During Training of Transformers
Streaming parallel transducer beam search with fast-slow cascaded encoders
SCORPIO: Serving the Right Requests at the Right Time for Heterogeneous SLOs in LLM Inference
An MDL-Based Classifier for Transactional Datasets with Application in Malware Detection
Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations
Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances
Top- k Feature Importance Ranking
Balancing Fixed Number of Nodes Among Multiple Fixed Clusters
When Can You Get Away with Low Memory Adam?
SU-Net: Pose estimation network for non-cooperative spacecraft on-orbit
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation
Integrating a Manual Pipette into a Collaborative Robot Manipulator for Flexible Liquid Dispensing
MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
Automatically Proving Microkernels Free from Privilege Escalation from their Executable
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation
Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
ISAC Super-Resolution Receivers: The Effect of Different Dictionary Matrices
Networks with Memory
Conformer-based Hybrid ASR System for Switchboard Dataset
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach
Compositional Synthesis of Finite Abstractions for Networks of Systems: A Small-Gain Approach
Wavelet-Based Feature Extraction and Unsupervised Clustering for Parity Detection: A Feature Engineering Perspective
Adaptive Prompt Learning with Distilled Connective Knowledge for Implicit Discourse Relation Recognition
Schrödinger's Tree - On Syntax and Neural Language Models
SAFLA: Semantic-aware Full Lifecycle Assurance Designed for Intent-Driven Networks
Mass-preserving approximation of a chemotaxis multi-domain transmission model for microfluidic chips
Memetics and Neural Models of Conspiracy Theories
DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
Incorporating Procedural Fairness in Flag Submissions on Social Media Platforms
Technical Report: Artificial DNA - a Concept for Self-Building Embedded Systems
Recovering the History of Informed Consent for Data Science and Internet Industry Research Ethics
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
DMON: A Simple yet Effective Approach for Argument Structure Learning
Provable Benefits of In-Tool Learning for Large Language Models
Computing the $k$-resilience of a Synchronized Multi-Robot System
Learn bifurcations of nonlinear parametric systems via equation-driven neural networks
Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks
A Hybrid Estimation of Distribution Algorithm with Random Walk local Search for Multi-mode Resource-Constrained Project Scheduling problems
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Citation gaming induced by bibliometric evaluation: a country-level comparative analysis
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques
RUMC: A Rule-based Classifier Inspired by Evolutionary Methods
CodeCipher: Learning to Obfuscate Source Code Against LLMs
A Federated Learning Framework for Healthcare IoT devices
Computing largest circles separating two sets of segments
Adorym: A multi-platform generic x-ray image reconstruction framework based on automatic differentiation
Zero-Trust Strategies for O-RAN Cellular Networks: Principles, Challenges and Research Directions
Fiber bundle topology optimization for surface flows
Delving Deeper into MOOC Student Dropout Prediction
Minimum maximal matchings in cubic graphs
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities
Quantum Inspired Encoding Strategies for Machine Learning Models: Proposing and Evaluating Instance Level, Global Discrete, and Class Conditional Representations
VideoPath-LLaVA: Pathology Diagnostic Reasoning Through Video Instruction Tuning
Representational Ethical Model Calibration
Knowledge discovery via multidimensional science maps: the case of the Species Problem
A real-time algorithm for human action recognition in RGB and thermal video
Co 3 Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion
A Generalized Scalarization Method for Evolutionary Multi-objective Optimization
HuBar: A Visual Analytics Tool to Explore Human Behaviour based on fNIRS in AR guidance systems
Fast OTSU Thresholding Using Bisection Method
Defending Regression Learners Against Poisoning Attacks
Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
Hardness measures and resolution lower bounds
Adaptive Data Exploitation in Deep Reinforcement Learning
Lagrangian Duality based Algorithms in Online Scheduling
Motion Estimation for Large Displacements and Deformations
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
Inferring Granger Causality from Irregularly Sampled Time Series
SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration
Classification of compact radio sources in the Galactic plane with supervised machine learning
Active inference body perception and action for humanoid robots
An insecure noninteractive group key establishment scheme
Adversarial Training for Failure-Sensitive User Simulation in Mental Health Dialogue Optimization
Multi-Objective Task-Aware Predictor for Image-Text Alignment
UniLearn: Enhancing Dynamic Facial Expression Recognition through Unified Pre-Training and Fine-Tuning on Images and Videos
The Objective Indefiniteness Interpretation of Quantum Mechanics
Solving Mixed Integer Programs Using Neural Networks
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation
On the Parallel Undecided-State Dynamics with Two Colors
A Unified Framework for Speech Separation
Computation in Large-Scale Scientific and Internet Data Applications is a Focus of MMDS 2010
Finite elements for divdiv-conforming symmetric tensors in three dimensions
Systems of Graph Formulas and their Equivalence to Alternating Graph Automata
FouRA: Fourier Low Rank Adaptation
Updates in Answer Set Programming: An Approach Based on Basic Structural Properties
Semantics for Variational Quantum Programming
Reliability-Based Fault Analysis and Modeling of Satellite Electrical Power Subsystems Using Fault Tree and Simulation Tools
Detection of texts in natural images
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
Exploring vision transformer layer choosing for semantic segmentation
Two intriguing variants of the AAA algorithm for rational approximation
On MDS convolutional Codes over $\mathbb Z_{p^r}$
A Two-phase Recommendation Framework for Consistent Java Method Names
Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
Deep Learning versus Traditional Classifiers on Vietnamese Students' Feedback Corpus
SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
Solving the Workflow Satisfiability Problem using General Purpose Solvers
Basis Prediction Networks for Effective Burst Denoising with Large Kernels
From Natural Language to Certified H-infinity Controllers: Integrating LLM Agents with LMI-Based Synthesis
FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI
Global Platform for Rich Media Conferencing and Collaboration
Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
An AI model for Rapid and Accurate Identification of Chemical Agents in Mass Casualty Incidents
On Calculation of Bounds for Greedy Algorithms when Applied to Sensor Selection Problems
An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective
MMC-Based Distributed Maximum Power Point Tracking for Photovoltaic Systems
A Comment on "The Ecological Rationality of State-Dependent Valuation"
Robust Video Watermarking Schemes in Phase domain Using Binary Phase Shift Keying
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
MedTQ: Dynamic Topic Discovery and Query Generation for Medical Ontologies
Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How
WaveShot: A Compact Portable Unmanned Surface Vessel for Dynamic Water Surface Videography and Media Production
Blockchain Based Decentralized Cyber Attack Detection for Large Scale Power Systems
AI-MASLD Metabolic Dysfunction and Information Steatosis of Large Language Models in Unstructured Clinical Narratives
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation
Mind the Gaps: Logical English, Prolog, and Multi-agent Systems for Autonomous Vehicles
A universal law in human mobility
An Extensible Multimodal Multi-task Object Dataset with Materials
Measuring Total Transverse Reference-free Displacements of Railroad Bridges using 2 Degrees of Freedom (2DOF): Experimental Validation
Approximate matrices of systems of max-min fuzzy relational equations
Electric Currents for Discrete Data Generation
On an Interpretation of ResNets via Solution Constructions
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
Speech Recognition With No Speech Or With Noisy Speech Beyond English
RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map Estimation
Adversarial Examples Target Topological Holes in Deep Networks
The Amazon Nova Family of Models: Technical Report and Model Card
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis
The age of secrecy and unfairness in recidivism prediction
Mixed Integer Convex Quadratic Programming is Fixed Parameter Tractable
Data Exploration and Validation on dense knowledge graphs for biomedical research
Real time Simulation of Gird-connected Photovoltaic Multilevel Inverter using Hybrid GA/PSO Optimization Algorithm
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer
Evolution of Online User Behavior During a Social Upheaval
Real or Virtual: A Video Conferencing Background Manipulation-Detection System
A Peer-to-Peer Energy Trading Framework in Distribution Systems Considering Network Constraints
MidiCaps - A large-scale MIDI dataset with text captions
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally
Agentization of Two Population-Driven Models of Mathematical Biology
Lazy Restless Bandits for Decision Making with Limited Observation Capability: Applications in Wireless Networks
A Quick Response Algorithm for Dynamic Autonomous Mobile Robot Routing Problem with Time Windows
Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks
Joint Beamforming Design in Multi-Cluster MISO NOMA Intelligent Reflecting Surface-Aided Downlink Communication Networks
Automated Repeatable Adversary Threat Emulation with Effects Language (EL)
A New Characterization of Path Graphs
SEA: Self-Evolution Agent with Step-wise Reward for Computer Use
A priori subcell limiting approach for the FR/CPR method on unstructured meshes
Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
Predicting Eye Fixations Under Distortion Using Bayesian Observers
Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning
Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows
Hierarchical Cryptographic Signature Mapping for Ransomware Classification: A Structural Decomposition Approach
Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language Models
MatMamba: A Matryoshka State Space Model
Denoising Nearest Neighbor Graph via Continuous CRF for Visual Re-ranking without Fine-tuning
Training BatchNorm Only in Neural Architecture Search and Beyond
A Logic for Paraconsistent Transition Systems
Measuring the happiness of large-scale written expression: Songs, Blogs, and Presidents
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
A metric for evaluating 3D reconstruction and mapping performance with no ground truthing
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Not all paths lead to Rome: Analysing the network of sister cities
Preventing Reward Hacking with Occupancy Measure Regularization
Rapid feasibility assessment of components formed through hot stamping: A deep learning approach
LCE: An Augmented Combination of Bagging and Boosting in Python
Learning to Detect Few-Shot-Few-Clue Misinformation
Evaluating Frontier Models for Dangerous Capabilities
Optimality and sustainability of hybrid limit cycles in the pollution control problem with regime shifts
ManWav: The First Manchu ASR Model
Hateful Memes Challenge: An Enhanced Multimodal Framework
Tiny Machine Learning: Progress and Futures
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
On the growth of hypergeometric sequences
Reactive Valuations
Policy Evaluation in Decentralized POMDPs with Belief Sharing
DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration