yusuke1997/dblp-id-title huggingface dataset:
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network
Reductions for Safety Proofs (Extended Version)
"Is this an example image?" - Predicting the Relative Abstractness Level of Image and Text
On-the-fly Code Activation for Attack Surface Reduction
UniBrain: A Unified Model for Cross-Subject Brain Decoding
Scale factor point spread function matching: Beyond aliasing in image resampling
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
A Cobham theorem for scalar multiplication
What makes a good BIM design: quantitative linking between design behavior and quality
Deterministic hierarchical networks
Enhancing Text-to-Image Editing via Hybrid Mask-Informed Fusion
Revisiting Round-Trip Translation for Quality Estimation
An Asymmetric Fingerprinting Scheme based on Tardos Codes
Initial Placement for Fruchterman-Reingold Force Model with Coordinate Newton Direction
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
Gap-Filling Prompting Enhances Code-Assisted Mathematical Reasoning
Consistency in Distributed Data Stores
Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System
Privacy Management and Interface Design for a Smart House
Demystifying What Code Summarization Models Learned
Tail Optimality and Performance Analysis of the Nudge-M Scheduling Algorithm
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis
Exponential approximation space reconstruction WENO scheme for dispersive PDEs
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
An end-to-end Generative Retrieval Method for Sponsored Search Engine -Decoding Efficiently into a Closed Target Domain
Intrinsic Construction of Lyapunov Functions on Riemannian Manifold
Towards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLM
Data-driven estimation of system norms via impulse response
MEEA: Mere Exposure Effect-Driven Confrontational Optimization for LLM Jailbreaking
Network-based Topic Structure Visualization
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well
An overview of embedding models of entities and relationships for knowledge base completion
On Gaussian Half-Duplex Relay Networks
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos
Indriya: Building a Secure and Transparent Organ Donation System with Hyperledger Fabric
Prepare for Warp Speed: Sub-millisecond Visual Place Recognition Using Event Cameras
Prioritizing Technical Debt in Database Normalization Using Portfolio Theory and Data Quality Metrics
Parallel two-scale finite element implementation of a system with varying microstructures
From Golden to Unimodular Cryptography
Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition
Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice Architectures
Hybrid coarse-fine classification for head pose estimation
Impugan: Learning Conditional Generative Models for Robust Data Imputation
Towards Trustworthy Wi-Fi Sensing: Systematic Evaluation of Deep Learning Model Robustness to Adversarial Attacks
Deep Learning-based ECG Classification on Raspberry PI using a Tensorflow Lite Model based on PTB-XL Dataset
A Brandom-ian view of Reinforcement Learning towards strong-AI
Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021
Superposition Noisy Network Coding
CPM-2: Large-scale Cost-effective Pre-trained Language Models
Automatic Argumentative-Zoning Using Word2vec
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable
Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications
Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images
The academic motherload: Models of parenting engagement and the effect on academic productivity and performance
Active Adversarial Noise Suppression for Image Forgery Localization
White Paper: Brief overview of current practices for open consultation
A Tutorial on Mathematical Modeling of Millimeter Wave and Terahertz Cellular Systems
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications
On the Courtade-Kumar conjecture for certain classes of Boolean functions
Review of LiFi visible light communications : research and use cases
Bidding and Scheduling in Energy Markets: Which Probabilistic Forecast Do We Need?
B-FICA: BlockChain based Framework for Auto-insurance Claim and Adjudication
Bit Allocation for Increased Power Efficiency in 5G Receivers with Variable-Resolution ADCs
A Way to Understand Various Patterns of Data Mining Techniques for Selected Domains
Analysis of Argument Structure Constructions in the Large Language Model BERT
Productive Corecursion in Logic Programming
Degenerate area preserving surface Allen-Cahn equation and its sharp interface limit
NeRF-based Visualization of 3D Cues Supporting Data-Driven Spacecraft Pose Estimation
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
Context as a Spurious Concept
Signaling in Quasipolynomial time
PAC Learning, VC Dimension, and the Arithmetic Hierarchy
BrainStorm @ iREL at SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge
LightSync: Ultra Light Client for PoW Blockchains
Recent Progress in Appearance-based Action Recognition
Smaller Extended Formulations for the Spanning Tree Polytope of Bounded-genus Graphs
OccFusion: A Straightforward and Effective Multi-Sensor Fusion Framework for 3D Occupancy Prediction
GeoEdit: Geometric Knowledge Editing for Large Language Models
Categorical Semantics for Functional Reactive Programming with Temporal Recursion and Corecursion
Does the brain represent words? An evaluation of brain decoding studies of language understanding
Average-case analysis of perfect sorting by reversals
JaxDecompiler: Redefining Gradient-Informed Software Design
Hierarchical Orthogonal Factorization: Sparse Square matrices
PIMMiner: A High-performance PIM Architecture-aware Graph Mining Framework
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era
Robust temporal difference learning for critical domains
Quality Estimation Reranking for Document-Level Translation
Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learning
The ImmersaDesk3 - Experiences With A Flat Panel Display for Virtual Reality
Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks
Predicting Bank Loan Default with Extreme Gradient Boosting
Disambiguating Speech Intention via Audio-Text Co-attention Framework: A Case of Prosody-semantics Interface
Heuristic Feature Selection for Clickbait Detection
A Comprehensive Study of Quantum Arithmetic Circuits
Identifying Signatures of Image Phenotypes to Track Treatment Response in Liver Disease
Poisoning Behavioral-based Worker Selection in Mobile Crowdsensing using Generative Adversarial Networks
Learning from Matured Dumb Teacher for Fine Generalization
Inpainting Normal Maps for Lightstage data
A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
TrackerSift: Untangling Mixed Tracking and Functional Web Resources
A data-centric approach for assessing progress of Graph Neural Networks
Transformer-Based LM Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens
MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization
How to Extend the Abstraction Refinement Model for Systems with Emergent Behavior ?
CatFree3D: Category-agnostic 3D Object Detection with Diffusion
Less is More: Discovering Concise Network Explanations
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron
Super-Trajectories: A Compact Yet Rich Video Representation
CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift
Auditory Steady-State Response Stimuli based BCI Application - The Optimization of the Stimuli Types and Lengths
Seating preference analysis for hybrid workplaces
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
Exponentially Stable Adaptive Control Under Semi-PE Condition
Component-Based Machine Learning for Indoor Flow and Temperature Fields Prediction Latent Feature Aggregation and Flow Interaction
The Time Dimension of Science: Connecting the Past to the Future
Exponential evaluations in universal random privacy amplification
Visual-tactile manipulation to collect household waste in outdoor
BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation
Spectral Representation-based Reinforcement Learning
Higher-order Laplacian dynamics on hypergraphs with cooperative and antagonistic interactions
Minimum Energy Quantized Neural Networks
VIRAL SLAM: Tightly Coupled Camera-IMU-UWB-Lidar SLAM
Multi-modal Generation via Cross-Modal In-Context Learning
Adding Gradient Noise Improves Learning for Very Deep Networks
Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Preconditioned TBiCOR and TCORS Algorithms for Solving the Sylvester Tensor Equation
The "Collections as ML Data" Checklist for Machine Learning & Cultural Heritage
Regression with respect to sensing actions and partial states
Bioinspired Nested-Isotropic Lattices with Tunable Anisotropy for Additive Manufacturing
Tensor Algebra on an Optoelectronic Microchip
Online Context-aware Data Release with Sequence Information Privacy
On the Stable Throughput of Cooperative Cognitive Radio Networks with Finite Relaying Buffer
Nearest Points on Toric Varieties
Mechanical design and fabrication of a kinetic sculpture with application to bioinspired drone design
PySBD: Pragmatic Sentence Boundary Disambiguation
Depth- and Semantics-aware Multi-modal Domain Translation: Generating 3D Panoramic Color Images from LiDAR Point Clouds
Strong convergence of some Magnus-type schemes for the finite element discretization of non-autonomous parabolic SPDEs driven by additive fractional Brownian motion and Poisson random measure
Face-hitting dominating sets in planar graphs: Alternative proof and linear-time algorithm
Choosing by means of approval-preferential voting. The revised approval choice
NLUT: Neural-based 3D Lookup Tables for Video Photorealistic Style Transfer
Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto
Large-scale Virtual Clinical Trials of Closed-loop Treatments for People with Type 1 Diabetes
On Limitations of the Transformer Architecture
Ball-Larus Path Profiling Across Multiple Loop iterations
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios
Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
Industry Adoption Scenarios for Authoritative Data Stores using the ISDA Common Domain Model
End-to-End Deep Learning Framework for Real-Time Inertial Attitude Estimation using 6DoF IMU
Uncertainty Quantification of Multi-Scale Resilience in Nonlinear Complex Networks using Arbitrary Polynomial Chaos
Control-flow Flattening Preserves the Constant-Time Policy (Extended Version)
Centralized and Distributed Newton Methods for Network Optimization and Extensions
Alpha Berkeley: A Scalable Framework for the Orchestration of Agentic Systems
Sampling a Uniformly Random Solution of a Quadratic Equation over Quotient Rings
Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
Translation invariant diagonal frame decomposition for the Radon transform
CIFE: Code Instruction-Following Evaluation
Information Extraction Framework to Build Legislation Network
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time
Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer
Approximate Counting of Graphical Models Via MCMC Revisited
New lower bound on the Shannon capacity of C7 from circular graphs
Morpho-Aware Global Attention for Image Matting
Competing Bandits in Decentralized Large Contextual Matching Markets
Cortex-Synth: Differentiable Topology-Aware 3D Skeleton Synthesis with Hierarchical Graph Attention
Navigating High Dimensional Concept Space with Metalearning
A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic
AV Speech Enhancement Challenge using a Real Noisy Corpus
Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms
Confidence Calibration for Recommender Systems and Its Applications
Class Association Rules Mining based Rough Set Method
SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning
An unscented Kalman filter method for real time input-parameter-state estimation
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
Real-time Person Re-identification at the Edge: A Mixed Precision Approach
Beyond Trial-and-Error: Predicting User Abandonment After a Moderation Intervention
Federated Multi-Armed Bandits Under Byzantine Attacks
A Tutorial to Sparse Code Multiple Access
Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data
Robust Distributed Routing in Dynamical Flow Networks
Diffusion models with location-scale noise
Evidence-aware multi-modal data fusion and its application to total knee replacement prediction
ExploreADV: Towards exploratory attack for Neural Networks
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
MAP Estimation with Denoisers: Convergence Rates and Guarantees
Enhancing Psychotherapeutic Alliance in College: When and How to Integrate Multimodal Large Language Models in Psychotherapy
Reconstruction of space-dependence and nonlinearity of a reaction term in a subdiffusion equation
Optimal Multi-Dimensional Auctions: Conjectures and Simulations
Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach
Forecasting lifetime and performance of a novel NVM last-level cache with compression
New Quantum MDS codes constructed from Constacyclic codes
Navigating Robot Swarm Through a Virtual Tube with Flow-Adaptive Distribution Control
Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels
ViLBench: A Suite for Vision-Language Process Reward Modeling
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
Tensor Network Kalman Filtering for Large-Scale LS-SVMs
Sentience Quest: Towards Embodied, Emotionally Adaptive, Self-Evolving, Ethically Aligned Artificial General Intelligence
Practical Implementation of a Deep Random Generator
BDF2-type integrator for Landau-Lifshitz-Gilbert equation in micromagnetics, part I: unconditional weak convergence to weak solutions
LittleDarwin: a Feature-Rich and Extensible Mutation Testing Framework for Large and Complex Java Systems
Asymptotic Performance Analysis of GSVD-NOMA Systems with a Large-Scale Antenna Array
Event-based Stereo Visual-Inertial Odometry with Voxel Map
Military Applications of Machine Learning: A Bibliometric Perspective
Comparing deep neural networks against humans: object recognition when the signal gets weaker
Confluent Vessel Trees with Accurate Bifurcations
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM
Dispersion Analysis of CIP-FEM for Helmholtz Equation
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction
TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation
ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
Distributed Cache Enabled V2X Networks: Proposals, Research Trends and Challenging Issues
Replication of Virtual Network Functions: Optimizing Link Utilization and Resource Costs
Relation-Stratified Sampling for Shapley Values Estimation in Relational Databases
Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines
A 2/3-Approximation Algorithm for Vertex-weighted Matching
Enhancing Credit Risk Prediction: A Meta-Learning Framework Integrating Baseline Models, LASSO, and ECOC for Superior Accuracy
SliceSemOcc: Vertical Slice Based Multimodal 3D Semantic Occupancy Representation
A 3D Generation Framework from Cross Modality to Parameterized Primitive
UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining
A computationally efficient robust model predictive control framework for uncertain nonlinear systems
The art of coarse Stokes: Richardson extrapolation improves the accuracy and efficiency of the method of regularized stokeslets
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments
Gaussian Entropy Fields: Driving Adaptive Sparsity in 3D Gaussian Optimization
Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
Novel Active Disturbance Rejection Control Based on Nested Linear Extended State Observers
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography
A Structured Perspective of Volumes on Active Learning
Self-optimizing load balancing with backhaul-constrained radio access networks
A New Class of TAST Codes With A Simplified Tree Structure
Detecting sub-populations in online health communities: A mixed-methods exploration of breastfeeding messages in BabyCenter Birth Clubs
Integrating Public Perspectives in Microreactor Facility Design
Real-time Verification and Refinement of Language Model Text Generation
Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization
Large scale Lasso with windowed active set for convolutional spike sorting
Fostering Bilateral Patient-Clinician Engagement in Active Self-Tracking of Subjective Experience
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
New Horizons in Parameter Regularization: A Constraint Approach
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis
How Open Should Open Source Be?
Computing a Nonnegative Matrix Factorization -- Provably
Learning Hidden Markov Models from Pairwise Co-occurrences with Applications to Topic Modeling
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation
Towards Fine-Grained Recognition with Large Visual Language Models: Benchmark and Optimization Strategies
Persistent Homology Guided Exploration of Time-Varying Graphs
Two Stream Scene Understanding on Graph Embedding
An Algorithmic Argument for Query Complexity Lower Bounds of Advised Quantum Computation
Cloudprofiler: TSC-based inter-node profiling and high-throughput data ingestion for cloud streaming workloads
Constitutive Models for Active Skeletal Muscle: Review, Comparison, and Application in a Novel Continuum Shoulder Model
Convective transport in nanofluids: the stationary problem
Real-time Neural-based Input Method
Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems
Local Differential Privacy for Number of Paths and Katz Centrality
DQC: a Python program package for Differentiable Quantum Chemistry
A geometric based preprocessing for weighted ray transforms with applications in SPECT
Gaming on Coincident Peak Shaving: Equilibrium and Strategic Behavior
TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation
MMM: Multilingual Mutual Reinforcement Effect Mix Datasets & Test with Open-domain Information Extraction Large Language Models
Towards optimal space-time discretizations for reachable sets of nonlinear systems
Partially Specified Causal Simulations
Multi-context Attention Fusion Neural Network for Software Vulnerability Identification
Deepfake Detection for Facial Images with Facemasks
Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation
An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU
Discrete-Time State-Feedback Controller with Canonical Form on Inverted Pendulum (on a cart)
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series
The "Game about Squares" is NP-hard
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems
Deep Parameter Interpolation for Scalar Conditioning
Design, Control, and Motion Strategy of TRADY: Tilted-Rotor-Equipped Aerial Robot With Autonomous In-flight Assembly and Disassembly Ability
Decorrelated feature importance from local sample weighting
Universal Rateless Codes From Coupled LT Codes
Generating Reliable Process Event Streams and Time Series Data based on Neural Networks
Understanding the role of FFNs in driving multilingual behaviour in LLMs
Achieving High Resolution for Super-resolution via Reweighted Atomic Norm Minimization
Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts
Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems
Microservices based Framework to Support Interoperable IoT Applications for Enhanced Data Analytics
PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel
Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models
Max flow vitality in general and planar graphs
Are Expressions for Music Emotions the Same Across Cultures?
Antescofo Intermediate Representation
DeGauss: Dynamic-Static Decomposition with Gaussian Splatting for Distractor-free 3D Reconstruction
Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning
Adjunctions for exceptions
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks
Talk2Ref: A Dataset for Reference Prediction from Scientific Talks
BernoulliZip: a Compression Algorithm for Bernoulli Processes and Erdos-Renyi Graphs
Fast Optical Flow using Dense Inverse Search