yusuke1997/dblp-id-title huggingface dataset:
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
Two Stage Contextual Word Filtering for Context bias in Unified Streaming and Non-streaming Transducer
STRAP: Structured Object Affordance Segmentation with Point Supervision
Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification-Based LSTM Model
Advancing Hybrid Quantum Neural Network for Alternative Current Optimal Power Flow
First Steps Towards Radical Parametrization of Algebraic Surfaces
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
A Light-Weight Contrastive Approach for Aligning Human Pose Sequences
UniHOI: Learning Fast, Dense and Generalizable 4D Reconstruction for Egocentric Hand Object Interaction Videos
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning
Multi-modal Streaming 3D Object Detection
On the Minimum Distance of Non Binary LDPC Codes
Security Analysis of Big Data on Internet of Things
Combining Background Subtraction Algorithms with Convolutional Neural Network
2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Reconstruction
RMMI: Enhanced Obstacle Avoidance for Reactive Mobile Manipulation using an Implicit Neural Map
Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning
POCFormer: A Lightweight Transformer Architecture for Detection of COVID-19 Using Point of Care Ultrasound
On rapid parallel tuning of controllers of a swarm of MAVs - distribution strategies of the updated gains
Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation
A Finite-Volume Scheme for Fractional Diffusion on Bounded Domains
CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model
Neuro-symbolic partial differential equation solver
Distributed Scheduling Algorithms for Crosspoint-Buffered Switches
The Dynamics of Group Codes: Dual Abelian Group Codes and Systems
Robust Precoding for Resilient Cell-Free Networks
Real-Time 3D Object Detection with Inference-Aligned Learning
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation
Review of Data-centric Time Series Analysis from Sample, Feature, and Period
iCPS-DL: A Description Language for Autonomic Industrial Cyber-Physical Systems
Emotional Musical Prosody: Validated Vocal Dataset for Human Robot Interaction
Analysis of Performance of Dynamic Multicast Routing Algorithms
Multiple Testing and Variable Selection along Least Angle Regression's path
Modular and Adaptive Conformal Prediction for Sequential Models via Residual Decomposition
Inferring Inference
Predictive Fault Tolerance for Autonomous Robot Swarms
Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model
Revisiting Generalization Across Difficulty Levels: It's Not So Easy
Sequential mastery of multiple tasks: Networks naturally learn to learn
Sufficient statistics for linear control strategies in decentralized systems with partial history sharing
BCNet: Searching for Network Width with Bilaterally Coupled Network
Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy
The footprint of a metrics-based research evaluation system on Spanish philosophical scholarship: an analysis of researchers perceptions
A Review of Latent Space Models for Social Networks
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey
Infinite sequential Nash equilibrium
Model Checking Epistemic Halpern-Shoham Logic Extended with Regular Expressions
Hyper-multi-step: The Truth Behind Difficult Long-context Tasks
Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
Quantifying the Effect of Sentiment on Information Diffusion in Social Media
Time-Supervised Primary Object Segmentation
Change State Space Models for Remote Sensing Change Detection
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals
Validation & Exploration of Multimodal Deep-Learning Camera-Lidar Calibration models
Long-term Health Index Prediction for Power Asset Classes Based on Sequence Learning
A Set-valued Impact Law Approach for Modeling and Analysis of Rigid Contact Universal Joint with Clearance
Doubly-stochastic mining for heterogeneous retrieval
Load Balancing with preemptive and non-preemptive task scheduling in Cloud Computing
Boosting Federated Learning Convergence with Prototype Regularization
PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU
Deep Learning of Compressed Sensing Operators with Structural Similarity Loss
Understanding Machine-learned Density Functionals
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey
Verification of Query Completeness over Processes [Extended Version]
Learning to flock through reinforcement
Scaling Laws for Transfer
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution Microscopy
Superiority of Softmax: Unveiling the Performance Edge Over Linear Attention
Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools
An Improved Dung Beetle Optimizer for Random Forest Optimization
Waiting is worth it and can be improved with predictions
DRM Revisited: A Complete Error Analysis
Toward a Geometric Theory of Manifold Untangling
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization
Enhancing Monocular Height Estimation from Aerial Images with Street-view Images
Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
On the primitivity of PRESENT and other lightweight ciphers
Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
D-RMGPT: Robot-assisted collaborative tasks driven by large multimodal models
Improved Differential-neural Cryptanalysis for Round-reduced Simeck32/64
The weak pigeonhole principle for function classes in S^1_2
A First Look at Blockchain-based Decentralized Applications
Double Q-learning for Value-based Deep Reinforcement Learning, Revisited
Fine-Tuning DialoGPT on Common Diseases in Rural Nepal for Medical Conversations
The case for shifting the Renyi Entropy
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
Hyperparameter Adaptive Search for Surrogate Optimization: A Self-Adjusting Approach
Scaling Program Synthesis Based Technology Mapping with Equality Saturation
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization
Sampling for Deep Learning Model Diagnosis (Technical Report)
One-Step Generative Channel Estimation via Average Velocity Field
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
EnSiam: Self-Supervised Learning With Ensemble Representations
Coupling purposes with status-functions in artificial institutions
Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries
H-DES: a Quantum-Classical Hybrid Differential Equation Solver
Hierarchical Conflict Propagation: Sequence Learning in a Recurrent Deep Neural Network
Efficient Dynamic WFST Decoding for Personalized Language Models
Video Multimethod Assessment Fusion (VMAF) on 360VR contents
Recommended Practices for Spreadsheet Testing
LLM-based Robot Task Planning with Exceptional Handling for General Purpose Service Robots
PaccMann RL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
Representational Analysis of Binding in Large Language Models
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
Local Geometry of Nonconvex Spike Deconvolution from Low-Pass Measurements
Multi-Armed Bandits-Based Optimization of Decision Trees
CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems
The Ramsey Number $R(3, K_{10}-e)$ and Computational Bounds for $R(3, G)$
Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
DisCoRL: Continual Reinforcement Learning via Policy Distillation
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning
naab: A ready-to-use plug-and-play corpus for Farsi
Analysis of Quantum Particle Automata for Solving the Density Classification Problem
Formalizing the Four-layer Metamodeling Stack - Potential and Benefits
An Exploratory Mixed-Methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software
Scaling green hydrogen and CCUS via cement-methanol co-production in China
Bridging the reality gap in quantum devices with physics-aware machine learning
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
Matrix-Free Evaluation of High-Order Shifted Boundary Finite Element Operators
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics
Taming the Tri-Space Tension: ARC-Guided Hallucination Modeling and Control for Text-to-Image Generation
Detecting Mode Collapse in Language Models via Narration
Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure
MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations
Argumentative Debates for Transparent Bias Detection [Technical Report]
Attacking logo-based phishing website detectors with adversarial perturbations
Convergence analysis of Hermite approximations for analytic functions
ETP-Mine: An Efficient Method for Mining Transitional Patterns
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices
Near Optimal Hamiltonian-Control and Learning via Chattering
The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
Hypercube Policy Regularization Framework for Offline Reinforcement Learning
DuckDB on xNVMe
Performance Analysis of Clustering Protocol Using Fuzzy Logic for Wireless Sensor Network
A Modality-Aware Cooperative Co-Evolutionary Framework for Multimodal Graph Neural Architecture Search
HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System
How Does Perfect Fitting Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks
Graph Self Supervised Learning: the BT, the HSIC, and the VICReg
Examining the Capability of GANs to Replace Real Biomedical Images in Classification Models Training
Multi-Server Verifiable Delegation of Computations: Unconditional Security and Practical Efficiency
Adaptive Noise Reduction Scheme for Salt and Pepper
CoT is Not True Reasoning, It Is Just a Tight Constraint to Imitate: A Theory Perspective
Distance function of D numbers
Recognizing Relating Edges in Graphs without Cycles of Length 6
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
A Link between Coding Theory and Cross-Validation with Applications
Outcome-Based Quality Assessment Framework for Higher Education
Reflective Metagraph Rewriting as a Foundation for an AGI "Language of Thought"
Finite-Time Analysis of Constant Step-Size Q-Learning : Switching System Approach Revisited
Repair-R1: Better Test Before Repair
Schools are segregated by educational outcomes in the digital space
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
LoRaCompass: Robust Reinforcement Learning to Efficiently Search for a LoRa Tag
Weighted reduced order methods for uncertainty quantification in computational fluid dynamics
Gravity Network for end-to-end small lesion detection
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark
Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents
Efficient Discovery of Meaningful Outlier Relationships
MedRule-KG: A Knowledge-Graph-Steered Scaffold for Reliable Mathematical and Biomedical Reasoning
ECVL-ROUTER: Scenario-Aware Routing for Vision-Language Models
Pleasant Imperative Program Proofs with GallinaC
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties
Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
An integrated model of traffic, geography and economy in the Internet
BILP-Q: Quantum Coalition Structure Generation
Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects
Adaptive motion control of parallel robots with kinematic and dynamic uncertainties
High-Coherence Heralded Single-Photon Source based on Two-Photon Interference
The Digital Sous Chef - A Comparative Study on Fine-Tuning Language Models for Recipe Generation
Siamese Network Training Using Sampled Triplets and Image Transformation
The ILASP system for Inductive Learning of Answer Set Programs
Joint Pilot and Payload Power Control for Uplink MIMO-NOMA with MRC-SIC Receivers
Mind the Gap... or Not? How Translation Errors and Evaluation Details Skew Multilingual Results
Integrating Approaches to Word Representation
Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization
Algorithmic Connections Between Active Learning and Stochastic Convex Optimization
Explainable AI based Glaucoma Detection using Transfer Learning and LIME
Energy-Based Transfer for Reinforcement Learning
Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization
Federated Foundation Model for Cardiac CT Imaging
Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing
Hierarchical Policy Learning is Sensitive to Goal Space Design
Mitigating Coriolis Effects in Centrifuge Simulators Through Allowing Small, Unperceived G-Vector Misalignments
Exploring Group and Symmetry Principles in Large Language Models
Identifying Best Fair Intervention
Analysis of the structure of the Krylov subspace in various preconditioned CGS algorithms
ProtDAT: A Unified Framework for Protein Sequence Design from Any Protein Text Description
Language-Guided Object-Centric Diffusion Policy for Collision-Aware Robotic Manipulation
Unifying Requirements and Code: an Example
Learning Deep Generative Models with Short Run Inference Dynamics
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography
Universal Approximation Theory: Foundations for Parallelism in Neural Networks
Lower Bounds on the Complexity of Solving Two Classes of Non-cooperative Games
Thermophysical modelling and parameter estimation of small solar system bodies via data assimilation
Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
On Architectures for Including Visual Information in Neural Language Models for Image Description
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems
Layered Index-less Indexed Flash Codes for Improving Average Performance
Visual and Memory Dual Adapter for Multi-Modal Object Tracking
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
Mesoscopic representation of texts as complex networks
The Role-Relevance Model for Enhanced Semantic Targeting in Unstructured Text
Fermat's Last Theorem for regular primes
Discrete Event System Modeling of Neuromorphic Circuits
A Novel Admission Control Model in Cloud Computing
Speeding up reinforcement learning by combining attention and agency features
VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks
Predicting Terrorist Attacks in the United States using Localized News Data
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images - A Review
Exploiting Diffusion Prior for Generalizable Pixel-Level Semantic Prediction
GeoDBLP: Geo-Tagging DBLP for Mining the Sociology of Computer Science
The Mafiascum Dataset: A Large Text Corpus for Deception Detection
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records
SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space
Experiences with the GTU grammar development environment
Comment on "Clustering by fast search and find of density peaks"
RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation
Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
Coupled Variational Reinforcement Learning for Language Model General Reasoning
A Deep Learning System for Domain-specific speech Recognition
Explicit numerical method for highly non-linear time-changed stochastic differential equations
I Can See it in Your Eyes: Gaze towards a Robot as an Implicit Cue of Uncanniness and Task Performance in Long-term Interactions
Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template
Output Controllability of a Linear Dynamical System with Sparse Controls
Mediators: Conversational Agents Explaining NLP Model Behavior
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
EPAN: Robust Pedestrian Re-Identification via Enhanced Alignment Network for IoT Surveillance
K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters
Distribution-Aware Mobility-Assisted Decentralized Federated Learning
Transfer Learning via Latent Dependency Factor for Estimating PM 2.5
Performance Analysis of Unsymmetrical trimmed median as detector on image noises and its Fpga implementation
Resilience and Criticality: Brothers in Arms for 6G
Linear-time One-Class Classification with Repeated Element-wise Folding
Vortex-capturing multiscale spaces for the Ginzburg-Landau equation
LLMs for Supply Chain Management
A Multi-traffic Inter-cell Interference Coordination Scheme in Dense Cellular Networks
Implementation-First Approach of Developing Formal Semantics of a Simulation Language in VDM-SL
Optimal Upper and Lower Bounds for Boolean Expressions by Dissociation
Understanding quantum machine learning also requires rethinking generalization
IFD: A Large-Scale Benchmark for Insider Filing Violation Detection
The Challenges in SDN/ML Based Network Security : A Survey
Mixed-precision Supernet Training from Vision Foundation Models using Low Rank Adapter
An Inference and Learning Engine for Spiking Neural Networks in Computational RAM (CRAM)
Seeing without Pixels: Perception from Camera Trajectories
Beyond Text-to-SQL: Autonomous Research-Driven Database Exploration with DAR
CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations
NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency
On the Complexity of the Grounded Semantics for Infinite Argumentation Frameworks
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
E-CHUM: Event-based Cameras for Human Detection and Urban Monitoring
Clonemator: Composing Spatiotemporal Clones to Create Interactive Automators in Virtual Reality
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
Drift-Corrected Monocular VIO and Perception-Aware Planning for Autonomous Drone Racing
SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images
Polarimetric SAR Image Segmentation with B-Splines and a New Statistical Model
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT
Fractional Dissipative PDEs
A possible intrinsic weakness of AES and other cryptosystems
Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning
Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation
K-Metamodes: frequency- and ensemble-based distributed k-modes clustering for security analytics
PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
Using stigmergy as a computational memory in the design of recurrent neural networks
MST in O(1) Rounds of the Congested Clique
Developing an AI-based Integrated System for Bee Health Evaluation
Equivalence of Learning Algorithms
Adaptive Sampling for Convex Regression
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism
Explanation format does not matter; but explanations do - An Eggsbert study on explaining Bayesian Optimisation tasks
Verifying a Cruise Control System using Simulink and SpaceEx
Wearing the Same Outfit in Different Ways - A Controllable Virtual Try-on Method
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems
Continuum as a primitive type (version 2)
Simultaneous Triggering and Synchronization of Sensors and Onboard Computers
AllConcur: Leaderless Concurrent Atomic Broadcast (Extended Version)
Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?
CRouting: Reducing Expensive Distance Calls in Graph-Based Approximate Nearest Neighbor Search
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
GoS Proposal to Improve Trust and Delay of MPLS Flows for MCN Services
Gene-induced Multimodal Pre-training for Image-omic Classification
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
ActSonic: Everyday Activity Recognition on Smart Glasses using Active Acoustic Sensing
DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials
Manifold regularization based on Nystr{ö}m type subsampling
SymPKF: a symbolic and computational toolbox for the design of parametric Kalman filter dynamics
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models
L-C4: Language-Based Video Colorization for Creative and Consistent Color
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis
Dynamic Fusion Network For Light Field Depth Estimation
The end of radical concept nativism
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning
XMiner: Efficient Directed Subgraph Matching with Pattern Reduction
What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models
3D simulation of complex shading affecting PV systems taking benefit from the power of graphics cards developed for the video game industry
UENAS: A Unified Evolution-based NAS Framework
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction
City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD Pooling
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
Channel Estimation with Dynamic Metasurface Antennas via Model-Based Learning