yusuke1997/dblp-id-title huggingface dataset:
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning
Jailbreaking to Jailbreak
Federated Reinforcement Learning for Uplink Centric Broadband Communication Optimization over Unlicensed Spectrum
Tactics for Reasoning modulo AC in Coq
Offline Reinforcement Learning with Imputed Rewards
Industrial Robot Trajectory Tracking Using Multi-Layer Neural Networks Trained by Iterative Learning Control
Model Generation with Provable Coverability for Offline Reinforcement Learning
Causal Structure Learning with Greedy Unconditional Equivalence Search
Loomis Painter: Reconstructing the Painting Process
Bad Communities with High Modularity
A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
EyePCR: A Comprehensive Benchmark for Fine-Grained Perception, Knowledge Comprehension and Clinical Reasoning in Ophthalmic Surgery
Design of Compandor Based on Approximate the First-Degree Spline Function
Inpaint Anything: Segment Anything Meets Image Inpainting
Recent Theoretical Advances in Non-Convex Optimization
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond
Zero-Shot Learning in Named-Entity Recognition with External Knowledge
Study of positional encoding approaches for Audio Spectrogram Transformers
A Mechanised Proof of Gödel's Incompleteness Theorems using Nominal Isabelle
Corruption Robust Phase Retrieval via Linear Programming
Towards Mobile Sensing with Event Cameras on High-mobility Resource-constrained Devices: A Survey
Challenging Common Assumptions in Multi-task Learning
A heuristic use of dynamic programming to upperbound treewidth
Equivariant maps from invariant functions
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application
Anti-concentration for random polynomials
Design Strategies for Playful Technologies to Support Light-intensity Physical Activity in the Workplace
Clusters in Markov Chains via Singular Vectors of Laplacian Matrices
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images
Analysis of an M/M/1 Queue Using Fixed Order of Search for Arrivals and Service
RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing
Bridging Smart Meter Gaps: A Benchmark of Statistical, Machine Learning and Time Series Foundation Models for Data Imputation
ConvNet Architecture Search for Spatiotemporal Feature Learning
Causality Diagrams using Hybrid Vector Clocks
Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction
Concurrent Reference Counting and Resource Management in Wait-free Constant Time
A Force-Directed Approach for Offline GPS Trajectory Map Matching
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
Prepare Before You Act: Learning From Humans to Rearrange Initial States
Efficient Backbone Search for Scene Text Recognition
Which Trading Agent is Best? Using a Threaded Parallel Simulation of a Financial Market Changes the Pecking-Order
PLEX: Towards Practical Learned Indexing
Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains
Safety Verification of Output Feedback Controllers for Nonlinear Systems
Asymmetric matrix sensing by gradient descent with small random initialization
On state-space representations of general discrete-time dynamical systems
Integrating Machine Learning with Physics-Based Modeling
JPEG Compliant Compression for Both Human and Machine, A Report
Scheduling of Emergency Tasks for Multiservice UAVs in Post-Disaster Scenarios
Window-Level is a Strong Denoising Surrogate
Parking Analytics Framework using Deep Learning
UPPLIED: UAV Path Planning for Inspection through Demonstration
Effect of Coupling on the Epidemic Threshold in Interconnected Complex Networks: A Spectral Analysis
Transfer learning for process design with reinforcement learning
Source Camera Attribution of Multi-Format Devices
AIA-UltraNeRF:Acoustic-Impedance-Aware Neural Radiance Field with Hash Encodings for Robotic Ultrasound Reconstruction and Localization
Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders
Detection of high-frequency oscillations using time-frequency analysis
Annotating Cognates and Etymological Origin in Turkic Languages
Conditional independence testing: a predictive perspective
A Sentinel-3 foundation model for ocean colour
MorphIt: Flexible Spherical Approximation of Robot Morphology for Representation-driven Adaptation
On the Convergence of Policy in Unregularized Policy Mirror Descent
Large-scale Multigrid with Adaptive Galerkin Coarsening
Linear lambda calculus with explicit substitutions as proof-search in Deep Inference
An Edge-Cloud Collaboration Framework for Generative AI Service Provision with Synergetic Big Cloud Model and Small Edge Models
ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
Semantic Subtyping for Maps in Erlang
A Critique of the Google Apple Exposure Notification (GAEN) Framework
The entropy of keys derived from laser speckle
ReDecode Framework for Iterative Improvement in Paraphrase Generation
Safe Certificate-Based Maneuvers for Teams of Quadrotors Using Differential Flatness
Exploring Reliable PPG Authentication on Smartwatches in Daily Scenarios
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
Equilibria of Plurality Voting with Abstentions
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
An Adaptive E-Learning System Using Justification Based Truth Maintenance System
A Review of Traffic Wave Suppression Strategies: Variable Speed Limit vs. Jam-Absorption Driving
Cooperative spectrum sensing with enhanced energy detection under GAUSSIAN noise uncertainty in cognitive radios
A criterion for critical junctions in elastic-plastic adhesive wear
Answers to Questions Formulated in the Paper "On States Observability in Deterministic Finite Automata"
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
Navigating Decision Landscapes: The Impact of Principals on Decision-Making Dynamics
On convexity in complex networks
PIPPIN: Generating variable length full events from partons
Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
S 2 Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios
Computational Causal Inference
Communities and Patterns of Scientific collaboration
OFDM based Distributed Space Time Coding for Asynchronous Relay Networks
Query Rewriting On Path Views Without Integrity Constraints
Efficient approximation of high-dimensional functions with deep neural networks
Quantum Computing: Towards Industry Reference Problems
Scalability in nonlinear network systems affected by delays and disturbances
Seat Arrangement Problems under B-utility and W-utility
Improving the color accuracy of lighting estimation models
Adapting Large Language Models for Character-based Augmentative and Alternative Communication
Adversarial Jamming for a More Effective Constellation Attack
TaP: A Taxonomy-Guided Framework for Automated and Scalable Preference Data Generation
Scalable Pattern Matching in Computation Graphs
Fourth-order flows in surface modelling
ZiMM: a deep learning model for long term adverse events with non-clinical claims data
Trustworthy AI: UK Air Traffic Control Revisited
A Tutte-type canonical decomposition of 4-connected graphs
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
On the parameterized complexity of the Minimum Path Cover problem in DAGs
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through self-knowledge distillation
What is the State of Memory Saving for Model Training?
An Event-based Diffusion LMS Strategy
A structure-preserving numerical method for the fourth-order geometric evolution equations for planar curves
Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge
Analyzing Linear Communication Networks using the Ribosome Flow Model
Optimal additive quaternary codes of dimension 3.5
Privacy Information Classification: A Hybrid Approach
Exploring Quality and Generalizability in Parameterized Neural Audio Effects
Supervised cross-modal factor analysis
Greedy Dynamic Matching
Computing a Frobenius Coin Problem decision problem in O(n^2)
Heuristic Algorithms for Best Match Graph Editing
Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks
Machine learning in policy evaluation: new tools for causal inference
Query-Kontext: An Unified Multimodal Model for Image Generation and Editing
Blissful Ignorance: Anti-Transfer Learning for Task Invariance
SlicerOrbitSurgerySim: An Open-Source Platform for Virtual Registration and Quantitative Comparison of Preformed Orbital Plates
On the Computational Complexity of Determining Value
Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy
Separate Generation and Evaluation for Parallel Greedy Best-First Search
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
Uncertainty quantification in model discovery by distilling interpretable material constitutive models from Gaussian process posteriors
Spectral Statistics of Lattice Graph Percolation Models
A Method for Fast Autonomy Transfer in Reinforcement Learning
High-Speed State Estimation in Power Systems with Extreme Unobservability Using Machine Learning
Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning
Optimization-based Alignment for Strapdown Inertial Navigation System Comparison and Extension
How human-robot collaboration impacts construction productivity: an agent-based multi-fidelity modeling approach
Unconventional Cognitive Intelligent Robotic Control: Quantum Soft Computing Approach in Human Being Emotion Estimation - QCOptKB Toolkit Application
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations
Face Recognition via Globality-Locality Preserving Projections
Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
Unlocking Reproducibility: Automating re-Build Process for Open-Source Software
Convergence Analysis using the Edge Laplacian: Robust Consensus of Nonlinear Multi-agent Systems via ISS Method
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
Instance Dependent Testing of Samplers using Interval Conditioning
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
Automating Historical Insight Extraction from Large-Scale Newspaper Archives via Neural Topic Modeling
Performance Analysis of IEEE 802.11bn Non-Primary Channel Access
When Are Two Gossips the Same? Types of Communication in Epistemic Gossip Protocols
A parallel iterative procedure for weak Galerkin methods for second order elliptic problems
New Theoretical Insights and Algorithmic Solutions for Reconstructing Score Sequences from Tournament Score Sets
Facial movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time
Relevance of the Basset history term for Lagrangian particle dynamics
DNAD: Differentiable Neural Architecture Distillation
Performance Analysis and Power Allocation of Joint Communication and Sensing Towards Future Communication Networks
Representation Learning for Regime detection in Block Hierarchical Financial Markets
Strategies in object-oriented design
Analytical Model of Proportional Fair Scheduling in Interference-limited OFDMA/LTE Networks
Real-Time QP Solvers: A Concise Review and Practical Guide Towards Legged Robots
Preventive and Active Safety Applications
Generalisable prediction model of surgical case duration: multicentre development and temporal validation
Kernel Transform Learning
validation method to improve behavioral flows on uml requirements analysis model by cross-checking with state transition model
Low-Rank and Total Variation Regularization and Its Application to Image Recovery
On the matching arrangement of a graph,improper weight function problem and its application
Don't Trash your Intermediate Results, Cache 'em
Static Analysis for Logic-Based Dynamic Programs
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs
Degrees of Freedom for the MIMO Multi-way Relay Channel
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Automated segmentation and morphological characterization of placental histology images based on a single labeled image
Sensitivity Analysis of Core Specialization Techniques
On the Variability of AI-based Software Systems Due to Environment Configurations
Exploring industrial safety knowledge via Zipf law
Efficient programmable learning to search
MM-IFEngine: Towards Multimodal Instruction Following
An algebraic algorithm for rank-2 ParaTuck-2 decomposition
Data assimilation in a nonlinear time-delayed dynamical system
A Method Based on Total Variation for Network Modularity Optimization using the MBO Scheme
RPS: Portfolio Asset Selection using Graph based Representation Learning
Improved Conditional Flow Models for Molecule to Image Synthesis
A Reinforcement Learning Approach to Sensor Planning for 3D Models
QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models
Early Diagnosis of Pneumonia with Deep Learning
Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
Learning-Based vs Human-Derived Congestion Control: An In-Depth Experimental Study
Lossy Asymptotic Equipartition property for Hierarchical Data Structures
Modeling Drivers' Risk Perception via Attention to Improve Driving Assistance
Optimising robotic operation speed with edge computing over 5G networks: Insights from selective harvesting robots
Parallel and Scalable Precise Clustering for Homologous Protein Discovery
ViTAD: Timing Violation-Aware Debugging of RTL Code using Large Language Models
Explainable Predictive Maintenance
A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare
Deep learning of quantum entanglement from incomplete measurements
Analysis of human steering behavior differences in human-in-control and autonomy-in-control driving
When are the most informative components for inference also the principal components?
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
Thermodynamics-based Artificial Neural Networks for constitutive modeling
Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
A deep learning based surrogate model for stochastic simulators
Three Shades of Partial Protection in Elastic Optical Networks
Scaling Stream Processing with Transactional State Management on Multicores
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
Generating Gender Augmented Data for NLP
Ranking Inferences Based on the Top Choice of Multiway Comparisons
Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events
Efficient decomposition of unitary matrices in quantum circuit compilers
Evaluation and Comparison Semantics for ODRL
Thickened 2D Networks for 3D Medical Image Segmentation
Minimum-Entropy Couplings and their Applications
Error Rates of Capacity-Achieving Codes Are Convex
Edge-boosted graph learning for functional brain connectivity analysis
Discrete Ramanujan-Fourier Transform of Even Functions (mod $r$)
Dealing with Run-Time Variability in Service Robotics: Towards a DSL for Non-Functional Properties
Re.Dis.Cover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI
Developing a Grounded View of AI
Leveraging Big Data Frameworks for Spam Detection in Amazon Reviews
Opening discussion on banking sector risk exposures and vulnerabilities from virtual currencies: An operational risk perspective
Really should we pruning after model be totally trained? Pruning based on a small amount of training
Stability of multidimensional persistent homology with respect to domain perturbations
Eye Disease Prediction using Ensemble Learning and Attention on OCT Scans
A Survey of Embodied Learning for Object-Centric Robotic Manipulation
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Resource-Aware Min-Min (RAMM) Algorithm for Resource Allocation in Cloud Computing Environment
Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges
Periodic Asynchronous Event-triggered Control
Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
From Kernels to Attention: A Transformer Framework for Density and Score Estimation
Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Resolving Availability and Run-time Integrity Conflicts in Real-Time Embedded Systems
Multi-Material Topology Optimization with Continuous Magnetization Direction for Permanent Magnet Synchronous Reluctance Motors
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors
CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection
A Cryptographic Scheme Of Mellin Transform
Determining Training Needs for Cloud Infrastructure Investigations using I-STRIDE
Fully automated workflow for the design of patient-specific orthopaedic implants: application to total knee arthroplasty
Reasoning about Unreliable Actions
Guideline for the Production of Digital Rights Management (DRM)
Networks in a World Unknown: Public WhatsApp Groups in the Venezuelan Refugee Crisis
Context Aware Nonnegative Matrix Factorization Clustering
Fairer and More Accurate Tabular Models Through NAS
Discovering the underlying analytic structure within Standard Model constants using artificial intelligence
Data-driven, Internet-inspired, and Scalable EV Charging for Power Distribution Grid
Proportional Fair Division of Multi-layered Cakes
Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm
Stochastic Mean-Shift Clustering
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving
Power Penalty Due to First-order PMD in Optical OFDM/QAM and FBMC/OQAM Transmission System
Secrets of the Brain: An Introduction to the Brain Anatomical Structure and Biological Function
Learning Safe Autonomous Driving Policies Using Predictive Safety Representations
On the Interference Cancellation by Reduced Channel Zero Forcing Class of Precodings in Massive MIMO Systems
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions
Upper bound on the cardinality containing shortest vectors in a lattice reduced by block Korkin-Zolotarev method
Towards Connected Enterprises: The Business Network System
Construction of extremal Type II ℤ 8 codes via doubling method
PhishDef: URL Names Say It All
Classification Under Ambiguity: When Is Average-K Better Than Top-K?
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning
Machine learning based modelling and optimization in hard turning of AISI D6 steel with newly developed AlTiSiN coated carbide tool
Parametric Modeling of EEG by Mono-Component Non-Stationary Signal
Residual-Recursion Autoencoder for Shape Illustration Images
Hunting for supernovae articles in the universe of scientometrics
Trade-off capacities of the quantum Hadamard channels
A critical analysis of metrics used for measuring progress in artificial intelligence
Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition
CoTexT: Multi-task Learning with Code-Text Transformer
Efficient Item ID Generation for Large-Scale LLM-based Recommendation
Mosaics of Combinatorial Designs
Convergence of gradient based training for linear Graph Neural Networks
Approximation in the Wasserstein distance with application to clustering
Induced Minors and Region Intersection Graphs
Converse: A Tree-Based Modular Task-Oriented Dialogue System
MRecGen: Multimodal Appropriate Reaction Generator
Note on sampling without replacing from a finite collection of matrices
Modeling and Controlling Interstate Conflict
Language models as tools for investigating the distinction between possible and impossible natural languages
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Gait Analysis for A Tilt-rotor: The Dynamic Invertible Gait
Reply to recent scepticism about the foundations of quantum cryptography
A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition
Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
A Quasipolynomial (2+ε)-Approximation for Planar Sparsest Cut
Security and Privacy Policy Languages: A Survey, Categorization and Gap Identification
Geometric Artifact Correction for Symmetric Multi-Linear Trajectory CT: Theory, Method, and Generalization
Committee Machines - A Universal Method to Deal with Non-Idealities in RRAM-Based Neural Networks
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors
Rate of convergence for geometric inference based on the empirical Christoffel function
A multiagent urban traffic simulation
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition
Portable system for the prediction of anemia based on the ocular conjunctiva using Artificial Intelligence
Encouraging Human Interaction with Robot Teams: Legible and Fair Subtask Allocations
Constitutive Manifold Neural Networks
Boosting Weak Positives for Text Based Person Search
Scalable Interconnect Learning in Boolean Networks
Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning
Shootout-89: A Comparative Evaluation of Knowledge-based Systems that Forecast Severe Weather
"I know myself better, but not really greatly": Using LLMs to Detect and Explain LLM-Generated Texts
GenderRobustness: Robustness of Gender Detection in Facial Recognition Systems with variation in Image Properties
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks
Improved lower bounds on the maximum size of graphs with girth 5
SMS: Self-supervised Model Seeding for Verification of Machine Unlearning
New Edge Detection Technique based on the Shannon Entropy in Gray Level Images
O Algoritmo usado no programa de criptografia PASME
Femtocell Networks: A Survey
Training-Free Label Space Alignment for Universal Domain Adaptation
"Nobody should control the end user": Exploring Privacy Perspectives of Indian Internet Users in Light of DPDPA
Overview of the NSTX Control System