yusuke1997/dblp-id-title huggingface dataset:
Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array
Coarse-to-fine Optimization for Speech Enhancement
GeoGuess: Multimodal Reasoning based on Hierarchy of Visual Information in Street View
Consistency and Convergence of a High Order Accurate Meshless Method for Solution of Incompressible Fluid Flows
Revisiting Non-Progressive Influence Models: Scalable Influence Maximization
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
Deep Two-way Matrix Reordering for Relational Data Analysis
SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment
Prediction of dynamical systems using geometric constraints imposed by observations
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
Diffusion-enabled Secure Semantic Communication Against Eavesdropping
Weakly Supervised One-Shot Detection with Attention Siamese Networks
Neuro-inspired automated lens design
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing
Information Leakage from Embedding in Large Language Models
Early soft and flexible fusion of EEG and fMRI via tensor decompositions
A selected review on reinforcement learning based control for autonomous underwater vehicles
Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs
Downlink Power Control in Two-Tier Cellular Networks with Energy-Harvesting Small Cells as Stochastic Games
Mapping the Course for Prompt-based Structured Prediction
Enhancing Automotive Security with a Hybrid Approach towards Universal Intrusion Detection System
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views
An Introduction to Adjoints and Output Error Estimation in Computational Fluid Dynamics
Scholarly Wikidata: Population and Exploration of Conference Data in Wikidata using LLMs
NarrowBand IoT Data Transmission Procedures for Massive Machine Type Communications
Confidence Adaptive Anytime Pixel-Level Recognition
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite
H-SIREN: Improving implicit neural representations with hyperbolic periodic functions
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Disseminacao de mensagens DTN com base em grupos de interesses
Distilled GPT for Source Code Summarization
Unlabelled Sensing: A Sparse Bayesian Learning Approach
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning
A spectral characterization and an approximation scheme for the Hessian eigenvalue
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
A Deep Learning Approach to the Prediction of Short-term Traffic Accident Risk
Biographical: A Semi-Supervised Relation Extraction Dataset
Can Low-Rank Knowledge Distillation in LLMs be Useful for Microelectronic Reasoning?
A Closer Look at Self-training for Zero-Label Semantic Segmentation
Vanlearning: A Machine Learning SaaS Application for People Without Programming Backgrounds
CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
Contractive Diffusion Probabilistic Models
An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding
The Role of Machine Learning in Reducing Healthcare Costs: The Impact of Medication Adherence and Preventive Care on Hospitalization Expenses
Generalized preferential attachment: tunable power-law degree distribution and clustering coefficient
DipSVD: Dual-importance Protected SVD for Efficient LLM Compression
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation
ActionSink: Toward Precise Robot Manipulation with Dynamic Integration of Action Flow
From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
Presenting a classifier to detect research contributions in OpenAlex
CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning
Thompson Sampling for Parameterized Markov Decision Processes with Uninformative Actions
Automating Transfer Credit Assessment in Student Mobility - A Natural Language Processing-based Approach
Benchmarking GNNs Using Lightning Network Data
First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning
Hardware-Centric Analysis of DeepSeek's Multi-Head Latent Attention
LearningWord Embeddings for Low-resource Languages by PU Learning
A Robust Two-Level Schwarz Preconditioner For Sparse Matrices
Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies
Disentangling Interaction and Bias Effects in Opinion Dynamics of Large Language Models
Compilation of Aggregates in ASP
A Source-Criticism Debiasing Method for GloVe Embeddings
GenTKG: Generative Forecasting on Temporal Knowledge Graph
Honey Trap or Romantic Utopia: A Case Study of Final Fantasy XIV Players PII Disclosure in Intimate Partner-Seeking Posts
A Weighted Quiver Kernel using Functor Homology
PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image Descriptions
A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
Automatic Transferring between Ancient Chinese and Contemporary Chinese
FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning
Describing the complexity of systems: Multi-variable "set complexity" and hypergraphs
Displacement-Sparse Neural Optimal Transport
Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models
Deformation Theory of Boltzmann Distributions
A mixture model for aggregation of multiple pre-trained weak classifiers
Enriching Social Science Research via Survey Item Linking
Millimeter-Wave in Milliseconds: Sliding Window Network Coding Outperforms Rateless Codes
LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
Perceptual analyses of action-related impact sounds
On Pixel-level Performance Assessment in Anomaly Detection
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis
A proposal for a quantitative indicator of original research output
Balanced Black and White Coloring Problem on knights chessboards
Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks
High-order Differentiable Autoencoder for Nonlinear Model Reduction
Infinite lexicographic products of positional objectives
Structured Variational Inference in Unstable Gaussian Process State Space Models
Data-driven sparse polynomial chaos expansion for models with dependent inputs
Memristive circuits and their Newtonian models φ "=F(t, φ, φ')/m with memory
Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
Efficient Sampling of Dependency Structures
Reliable Image Dehazing by NeRF
Dev2vec: Representing Domain Expertise of Developers in an Embedding Space
BigGAN-based Bayesian reconstruction of natural images from human brain activity
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes
Posterior Mean Super-resolution with a Causal Gaussian Markov Random Field Prior
Transition to congestion in communication/computation networks via Montecarlo simulations: from optimal resource allocation to real-world routing algorithms
Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone
RiTTA: Modeling Event Relations in Text-to-Audio Generation
A System for Acquiring, Processing, and Rendering Panoramic Light Field Stills for Virtual Reality
HARP 2.0: Expanding Hosted, Asynchronous, Remote Processing for Deep Learning in the DAW
Slots-Memento : A System Facilitating Intergenerational Story Sharing and Preservation of Family Mementos
Electronically Tunable Voltage-Mode Biquad Filter/Oscillator Based On CCCCTAs
Local Characteristic Decomposition Based Central-Upwind Scheme
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations
Building Multi lingual TTS using Cross Lingual Voice Conversion
On Characterizing the Data Movement Complexity of Computational DAGs for Parallel Execution
Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference
Issues in the software implementation of stochastic numerical Runge-Kutta
Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme
Efficient and Effective Local Search for the Set-Union Knapsack Problem and Budgeted Maximum Coverage Problem
Crowds, Bluetooth, and Rock-n-Roll. Understanding Music Festival Participant Behavior
Model fusion for efficient learning of nonlinear dynamical systems
Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies
Data Aggregation and Privacy for Police Patrols
New quaternary codes derived from posets of the disjoint union of two chains
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits
Counting Spanning Trees of Threshold Graphs
Radio Map Based 3D Path Planning for Cellular-Connected UAV
Gradient-type subspace iteration methods for the symmetric eigenvalue problem
HC-Ref: Hierarchical Constrained Refinement for Robust Adversarial Training of GNNs
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction
Barking dogs: A Fréchet distance variant for detour detection
Collaborative Interest-aware Graph Learning for Group Identification
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey
Attention Retrieves, MLP Memorizes: Disentangling Trainable Components in the Transformer
Accelerated Medicines Development using a Digital Formulator and a Self-Driving Tableting DataFactory
Facial Expression-based Parkinson's Disease Severity Diagnosis via Feature Fusion and Adaptive Class Balancing
Reversible Data Hiding over Encrypted Images via Intrinsic Correlation in Block-Based Secret Sharing
What is an equivariant neural network?
DentalSplat: Dental Occlusion Novel View Synthesis from Sparse Intra-Oral Photographs
Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
A Comparison Between Different Formulations for Solving Axisymmetric Time-Harmonic Electromagnetic Wave Problems
Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs
Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria
Compressibility and probabilistic proofs
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?
Information and Set Algebras: Interpretation and Uniqueness of Conditional Independence
Recovering 6D Object Pose: Multi-modal Analyses on Challenges
Generic and lifted probabilistic comparisons - max replaces minmax
An Overview of Neural Network Compression
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder
Shape Back-Projection In 3D Scenes
A Comparative Study of Deep Reinforcement Learning for Crop Production Management
Data Dissemination Strategies for Emerging Wireless Body-to-Body Networks based Internet of Humans
Multiscale Residual Mixture of PCA: Dynamic Dictionaries for Optimal Basis Learning
Crafty: Efficient, HTM-Compatible Persistent Transactions
Machine learning meets mass spectrometry: a focused perspective
Image Classification with Rejection using Contextual Information
Realizability of discs with ribbons on a Möbius strip
Learning to Customize Language Model for Generation-based dialog systems
TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos
Distortion element in the automorphism group of a full shift
Attend in groups: a weakly-supervised deep learning framework for learning from web data
From Microbes to Methane: AI-Based Predictive Modeling of Feed Additive Efficacy in Dairy Cows
Various models of process of the learning, based on the numerical solution of the differential equations
Correcting for Position Bias in Learning to Rank: A Control Function Approach
Abelian Closures of Infinite Binary Words
Load Balancing via Random Local Search in Closed and Open systems
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference
GP: Context-free Grammar Pre-training for Text-to-SQL Parsers
Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks
Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2
Subgraph Similarity Search in Large Graphs
Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
Enhanced Digital Twin for Human-Centric and Integrated Lighting Asset Management in Public Libraries: From Corrective to Predictive Maintenance
Computational historical linguistics and language diversity in South Asia
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization
PerNodeDrop: A Method Balancing Specialized Subnets and Regularization in Deep Neural Networks
Cross-Modal 3D Shape Generation and Manipulation
From Model-Based to Model-Free: Learning Building Control for Demand Response
Frame invariance and scalability of neural operators for partial differential equations
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning
PuzzleClone: An SMT-Powered Framework for Synthesizing Verifiable Data
Robust Time Series Denoising with Learnable Wavelet Packet Transform
A variation of Broyden Class methods using Householder adaptive transforms
Higher order Markov random fields for independent sets
IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset
MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling
HybridNN: Supporting Network Location Service on Generalized Delay Metrics
Automating Financial Statement Audits with Large Language Models
Gender Bias in Computing
Over++: Generative Video Compositing for Layer Interaction Effects
Entropy-Synchronized Neural Hashing for Unsupervised Ransomware Detection
PTQ-SL: Exploring the Sub-layerwise Post-training Quantization
Cognitive Deep Machine Can Train Itself
SEE4D: Pose-Free 4D Generation via Auto-Regressive Video Inpainting
Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques
Hope Speech Detection in Social Media English Corpora: Performance of Traditional and Transformer Models
Sequential Drift Detection in Deep Learning Classifiers
Query-Regression Networks for Machine Comprehension
Robust Person Re-Identification through Contextual Mutual Boosting
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
Yet Another Tensor Toolbox for discontinuous Galerkin methods and other applications
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
Interference Steering to Manage Interference
Process-Commutative Distributed Objects: From Cryptocurrencies to Byzantine-Fault-Tolerant CRDTs
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
On the Semidefinite Duality of Finite-Horizon LQG Problem
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Human-guided Swarms: Impedance Control-inspired Influence in Virtual Reality Environments
3-D Material Style Transfer for Reconstructing Unknown Appearance in Complex Natural Materials
A Chaotic Cipher Mmohocc and Its Security Analysis
Learning to retrieve out-of-vocabulary words in speech recognition
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series
Stopping Criteria for Value and Strategy Iteration on Concurrent Stochastic Reachability Games
Exploring Benefits of Transfer Learning in Neural Machine Translation
Entanglement capacity of fermionic Gaussian states
Asymptotics of Bernoulli random walks, bridges, excursions and meanders with a given number of peaks
Automatic Localization and Detection Applicable to Robust Image Watermarking Resisting against Camera Shooting
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
Robust Single-step Adversarial Training with Regularizer
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection
Reasoning over Multi-view Knowledge Graphs
Similarity Kernel and Clustering via Random Projection Forests
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
Leave-One-Out Learning with Log-Loss
Access to care improves EHR reliability and clinical risk prediction model performance
Learning to Split for Automatic Bias Detection
Constructive community race: full-density spiking neural network model drives neuromorphic computing
Unique Ergodicity of Stochastic Theta Method for Monotone SDEs driven by Nondegenerate Multiplicative Noise
A Shared Write-protected Root Filesystem for a Group of Networked Clients
Wikipedia Vandalism Detection Through Machine Learning: Feature Review and New Proposals: Lab Report for PAN at CLEF 2010
Transformers for scientific data: a pedagogical review for astronomers
A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions
Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration
ProBoost: a Boosting Method for Probabilistic Classifiers
Graph Compression Using The Regularity Method
With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach
Few-shot Continual Relation Extraction via Open Information Extraction
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets
On-line coloring between two lines
SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference
Transfer Learning in Astronomy: A New Machine-Learning Paradigm
Improved Linear-Time Algorithm for Computing the 4-Edge-Connected Components of a Graph
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing
Limited Farsightedness in Priority-Based Matching
Progressive Graph Convolution Network for EEG Emotion Recognition
Homogeneity of Cluster Ensembles
Principled Coarse-Grained Acceptance for Speculative Decoding in Speech
LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
Optimization for Oriented Object Detection via Representation Invariance Loss
Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma
Parking Spot Classification based on surround view camera system
On the rules of science game
Tukey g-and-h neural network regression for non-Gaussian data
EVADE: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications
Structured Image Classification from Conditional Random Field with Deep Class Embedding
Matrix-based implementation and GPU acceleration of linearized ordinary state-based peridynamic models in MATLAB
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency
Uplink Multi-Cell Processing: Approximate Sum Capacity under a Sum Backhaul Constraint
Generalised learning of time-series: Ornstein-Uhlenbeck processes
Work in Progress: Middleware-Transparent Callback Enforcement in Commoditized Component-Oriented Real-time Systems
Baird Counterexample Is Solved: with an example of How to Debug a Two-time-scale Algorithm
Proceedings Third Workshop From Biology To Concurrency and back, FBTC 2010, Paphos, Cyprus, 27th March 2010
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking
Non-stationary Contextual Bandits and Universal Learning
Multilinear formulations for computing Nash equilibrium of multi-player matrix games
BlockMarkchain: A Secure Decentralized Data Market with a Constant Load on the Blockchain
Dataflow Dialogue Generation
Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications to Image Compression, Super-Resolution and Deep Learning
On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition
The rational homology of the outer automorphism group of $F_7$
UNION: A Lightweight Target Representation for Efficient Zero-Shot Image-Guided Retrieval with Optional Textual Queries
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling
Analyzing the Role of Model Uncertainty for Electronic Health Records
Effective Computer Model For Recognizing Nationality From Frontal Image
Interference-Cooperation in Multi-User/Multi-Operator Receivers
A Stopping Game on Zero-Sum Sequences
Navigating the Data Space Landscape: Concepts, Applications, and Future Directions
Overcoming the vanishing gradient problem in plain recurrent networks
Playing Against Opponents With Limited Memory
PropRAG: Guiding Retrieval with Beam Search over Proposition Paths
Open Access Scientometrics and the UK Research Assessment Exercise
Prospective Messaging: Learning in Networks with Communication Delays
On Shore and Johnson properties for a Special Case of Csiszár f-divergences
Programmers Prefer Individually Assigned Tasks vs. Shared Responsibility
Coupling public and private gradient provably helps optimization
An Adaptive Decision-Making Approach for Better Selection of a Blockchain Platform for Health Insurance Frauds Detection with Smart Contracts: Development and Performance Evaluation
Symplectic Isospectral Runge-Kutta Methods as Lie group methods
PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts
QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum
Subjective Simulation as a Notion of Morphism for Composing Concurrent Resources
Your Image is Secretly the Last Frame of a Pseudo Video
Benchmarking Optimizers for Large Language Model Pretraining
Cooperation in the spatial prisoner's dilemma game with probabilistic abstention
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral algorithm with optimal rate of recovery
Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement Learning
Model-Based Task Transfer Learning
OpenCUA: Open Foundations for Computer-Use Agents
Can Large Language Models Master Complex Card Games?
Accelerating Automatic Differentiation of Direct Form Digital Filters
Finding Counterfactual Explanations through Constraint Relaxations
Inverse Reinforcement Learning with Missing Data
A New Urban Objects Detection Framework Using Weakly Annotated Sets
A dynamic system characterization of road network node models
Product Echo State Networks: Time-Series Computation with Multiplicative Neurons
Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages