yusuke1997/dblp-id-title huggingface dataset:
Are Automated Vehicles Safer than Manually Driven Cars?
Compiler Optimization via LLM Reasoning for Efficient Model Serving
BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shaping
Content-Based Bird Retrieval using Shape context, Color moments and Bag of Features
Every Local Minimum is a Global Minimum of an Induced Model
Enhancing Medical Image Segmentation via Heat Conduction Equation
Convolutional Networks in Visual Environments
On the Capacity of Memoryless Finite-State Multiple-Access Channels with Asymmetric State Information at the Encoders
Detecting software vulnerabilities using Language Models
Voltage enhancement and loss minimization in a radial network through optimal capacitor sizing and placement based on Crow Search Algorithm
From Development to Deployment of AI-assisted Telehealth and Screening for Vision- and Hearing-threatening diseases in resource-constrained settings: Field Observations, Challenges and Way Forward
Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation
Socio-Technological Challenges and Opportunities: Paths Forward
Elastic Similarity Measures for Multivariate Time Series Classification
Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularization
Competition in Cross-situational Word Learning: A Computational Study
Advancing site-specific disease and pest management in precision agriculture: From reasoning-driven foundation models to adaptive, feedback-based learning
Estimation of Radio Channel Parameters in Case of an Unknown Transmitter
Nonlinear Balanced Truncation: Part 2 - Model Reduction on Manifolds
CDN: Content Distribution Network
Free-space optical neural network based on thermal atomic nonlinearity
A Block-Sensitivity Lower Bound for Quantum Testing Hamming Distance
A Case Study in CUDA Kernel Fusion: Implementing FlashAttention-2 on NVIDIA Hopper Architecture using the CUTLASS Library
Scalable data storage for PV monitoring systems
Strong convergence rates for long-time approximations of SDEs with non-globally Lipschitz continuous coefficients
Hybrid Feedback Path Following for Robotic Walkers via Bang-Bang Control Actions
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
KeyCLD: Learning Constrained Lagrangian Dynamics in Keypoint Coordinates from Images
SWAN: A Generic Framework for Auditing Textual Conversational Systems
Unit Commitment Considering the Impact of Deep Cycling
RECAP: Retrieval Augmented Music Captioner
REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models
Dimming the Internet: Detecting Throttling as a Mechanism of Censorship in Iran
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems
InSyn: Modeling Complex Interactions for Pedestrian Trajectory Prediction
Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation
D-PCN: Parallel Convolutional Neural Networks for Image Recognition in Reverse Adversarial Style
Solving Oversmoothing in GNNs via Nonlocal Message Passing: Algebraic Smoothing and Depth Scalability
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels
Language Portability Strategies for Open-domain Dialogue with Pre-trained Language Models from High to Low Resource Languages
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learning
Frugal Algorithm Selection
Airway Labeling Meets Clinical Applications: Reflecting Topology Consistency and Outliers via Learnable Attentions
Can Physics Informed Neural Operators Self Improve?
Earballs: Neural Transmodal Translation
Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective
Variance Based Samples Weighting for Supervised Deep Learning
Postmortem Object Type Identification
Tiny Buffer TCP for Data Center Networks
Arabic aspect based sentiment analysis using BERT
Relocating thermal stimuli to the proximal phalanx may not affect vibrotactile sensitivity on the fingertip
Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces
Password Cracking: The Effect of Bias on the Average Guesswork of Hash Functions
Random Sequences from Primitive Pythagorean Triples
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology
An Application of Group Theory in Confidential Network Communications
MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review
DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring
Federated Learning based on Self-Evolving Gaussian Clustering
EEG-Based Detection of Braking Intention During Simulated Driving
Mining Sub-Interval Relationships In Time Series Data
Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces
A Hybrid GNN-IZR Framework for Fast and Empirically Robust AC Power Flow Analysis in Radial Distribution Systems
Overview of Current Challenges in Multi-Architecture Software Engineering and a Vision for the Future
SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection
Asynchronous and Dynamic Coverage Control Scheme for Persistent Surveillance Missions
GelTip Tactile Sensor for Dexterous Manipulation in Clutter
Dictionary-Sparse Recovery From Heavy-Tailed Measurements
DoS Attacks at Cooperative MAC
Decentralized Base-Graph Routing for the Quantum Internet
Scaling Rich Style-Prompted Text-to-Speech Datasets
Particle Swarm Optimization: Development of a General-Purpose Optimizer
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification
L-CAD: Language-based Colorization with Any-level Descriptions
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes
Reward Inside the Model: A Lightweight Hidden-State Reward Model for LLM's Best-of-N sampling
Adapted Pepper
Efficient constant factor approximation algorithms for stabbing line segments with equal disks
Evaluation of mathematical questioning strategies using data collected through weak supervision
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
Team RUC_AIM3 Technical Report at Activitynet 2020 Task 2: Exploring Sequential Events Detection for Dense Video Captioning
ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors
Fast Recursive Coding Based on Grouping of Symbols
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks
Implementing CNN Layers on the Manticore Cluster-Based Many-Core Architecture
Joint Extraction of Uyghur Medicine Knowledge with Edge Computing
Multiplicative assignment with upgrades
EduSAT: A Pedagogical Tool for Theory and Applications of Boolean Satisfiability
Computational Synthesis of Wearable Robot Mechanisms: Application to Hip-Joint Mechanisms
Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases
Evacuation of equilateral triangles by mobile agents of limited communication range
Statistical Mechanics of Dictionary Learning
Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
Estimation of the parameters of an infectious disease model using neural networks
Petr4: Formal Foundations for P4 Data Planes
Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection
Unsupervised Optimisation of GNNs for Node Clustering
Distributed NLP
Feedback-Gated Rectified Linear Units
A strong law for the rate of growth of long latency periods in cloud computing service
Noncommutative versions of inequalities in quantum information theory
Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems
Clustering without replication: approximation and inapproximability
New Space-Efficient Quantum Algorithm for Binary Elliptic Curves using the Optimized Division Algorithm
Measurement of Nuchal Translucency Thickness for Detection of Chromosomal Abnormalities using First Trimester Ultrasound Fetal Images
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching
A Primer on Spreadsheet Analytics
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
QGraphLIME - Explaining Quantum Graph Neural Networks
Numerical homogenization of spatial network models
Shortest Path versus Multi-Hub Routing in Networks with Uncertain Demand
BURT: BERT-inspired Universal Representation from Learning Meaningful Segment
Optimizing Intrusion Detection System Performance Through Synergistic Hyperparameter Tuning and Advanced Data Processing
On certain linearized polynomials with high degree and kernel of small dimension
ChatGPT cites the most-cited articles and journals, relying solely on Google Scholar's citation counts. As a result, AI may amplify the Matthew Effect in environmental science
AI Through the Human Lens: Investigating Cognitive Theories in Machine Psychology
Action Recognition in Videos: from Motion Capture Labs to the Web
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making
Self-Knowledge Distillation for Surgical Phase Recognition
On the Analogy between Human Brain and LLMs: Spotting Key Neurons in Grammar Perception
Are Pretrained Multilingual Models Equally Fair Across Languages?
A political cartography of news sharing: Capturing story, outlet and content level of news circulation on Twitter
AnimalClue: Recognizing Animals by their Traces
Reverse Engineering and Symbolic Knowledge Extraction on Łukasiewicz Fuzzy Logics using Linear Neural Networks
Space-time approximation of local strong solutions to the 3D stochastic Navier-Stokes equations
Lightweight MRI-Based Automated Segmentation of Pancreatic Cancer with Auto3DSeg
Fast Computation of PERCLOS and Saccadic Ratio
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review
Secure OTA Software Updates in Connected Vehicles: A survey
Visual-Semantic Scene Understanding by Sharing Labels in a Context Network
{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
ADAIL: Adaptive Adversarial Imitation Learning
Jealousy-freeness and other common properties in Fair Division of Mixed Manna
How Low Can You Go? Practical cold-start performance limits in FaaS
Statistical Physics for Humanities: A Tutorial
Beyond Words: Multimodal LLM Knows When to Speak
Toward Scalable Fully Homomorphic Encryption Through Light Trusted Computing Assistance
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer
Learnable Exposure Fusion for Dynamic Scenes
Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection
Reinforcing Power Grid Transmission with FACTS Devices
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
Separating domains from algebraic domains
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark
Black-box Adversaries from Latent Space: Unnoticeable Attacks on Human Pose and Shape Estimation
Delay Optimal Power Aware Opportunistic Scheduling with Mutual Information Accumulation
GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments
Row-constrained effective sets of colourings in the $2$-fold horocyclic tessellations of $\mathbb{H}^2$ are sofic
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems
Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language
Biologically inspired ChaosNet architecture for Hypothetical Protein Classification
EnFuzz: From Ensemble Learning to Ensemble Fuzzing
Design and Implementation of ARA Wireless Living Lab for Rural Broadband and Applications
Adversarial Detection without Model Information
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks
DAASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples
Sparse R-CNN OBB: Ship Target Detection in SAR Images Based on Oriented Sparse Proposals
Data Leakage in Visual Datasets
ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
Equilibrium boundary conditions for vectorial multi-dimensional lattice Boltzmann schemes
PHG-Net: Persistent Homology Guided Medical Image Classification
(Non)-Coherent MU-MIMO Block Fading Channels with Finite Blocklength and Linear Processing
Learning to simulate and design for structural engineering
High Performance Software in Multidimensional Reduction Methods for Image Processing with Application to Ancient Manuscripts
Molecular Machine Learning Using Euler Characteristic Transforms
Phase-Aware Deep Learning with Complex-Valued CNNs for Audio Signal Applications
Deep Learning of Vortex Induced Vibrations
Pretty darn good control: when are approximate solutions better than approximate models
RT-Focuser: A Real-Time Lightweight Model for Edge-side Image Deblurring
Fast A Posteriori State Error Estimation for Reliable Frequency Sweeping in Microwave Circuits via the Reduced-Basis Method
Learning Performance Bounds for Safety-Critical Systems
Usable Security for ML Systems in Mental Health: A Framework
A class of Parameterized Shift-Splitting Preconditioners for Regularized Three-by-Three Block Saddle Point Problems
Using Ontologies for the Design of Data Warehouses
MAD-NG, a standalone multiplatform tool for linear and non-linear optics design and optimisation
Generative and Discriminative Learning for Distorted Image Restoration
Byzantine Broadcast Under a Selective Broadcast Model for Single-hop Wireless Networks
Semantic Segmentation for Urban-Scene Images
The Memory Perturbation Equation: Understanding Model's Sensitivity to Data
The downside of heterogeneity: How established relations counteract systemic adaptivity in tasks assignments
Blind Source Separation Based on Sparsity
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms
Nonconforming Virtual Element basis functions for space-time Discontinuous Galerkin schemes on unstructured Voronoi meshes
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
An Asymptotically Optimal Algorithm for Communicating Multiplayer Multi-Armed Bandit Problems
On the Relation between Context-Free Grammars and Parsing Expression Grammars
Concept Layers: Enhancing Interpretability and Intervenability via LLM Conceptualization
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning
Metrics and Ambits and Sprawls, Oh My
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem
Lattice gauge symmetry in neural networks
Bridging between soft and hard thresholding by scaling
Detecting service provider alliances
Ontology Learning with LLMs: A Benchmark Study on Axiom Identification
Simulating acculturation dynamics between migrants and locals in relation to network formation
HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors
Phantom Artifacts & Code Review Coverage in Dependency Updates
Multi-task Learning Based Spoofing-Robust Automatic Speaker Verification System
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning
A Sufficiently Fast Algorithm for Finding Close to Optimal Junction Trees
Intelligence in Artificial Intelligence
New characterization and parametrization of LCD Codes
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos
Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter
Musico-acoustic Depictions of Laminar and Turbulent Flows in Ligeti Piano Etude No 9 and a Novel Method of Analysis
Data-Plane Security Applications in Adversarial Settings
Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks
A Model for Mining Multilevel Fuzzy Association Rule in Database
RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
Analyzing the Influence of Dataset Composition for Emotion Recognition
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
The differential properties of certain permutation polynomials over finite fields
Data-Driven Nonlinear TDOA for Accurate Source Localization in Complex Signal Dynamics
Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability
Parameter Differentiation based Multilingual Neural Machine Translation
OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability
NLP and CALL: integration is working
A Pragmatic Way to Measure Chain-of-Thought Monitorability
Neural models for prediction of spatially patterned phase transitions: methods and challenges
WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
Convergence guarantee for consistency models
Proactive bottleneck performance analysis in parallel computing using openMP
Trajectory Based Optimal Segment Computation in Road Network Databases
Reconstructing 3D Flow from 2D Data with Diffusion Transformer
Analyzing Branch-and-Bound Algorithms for the Multiprocessor Scheduling Problem
AI-Guided Exploration of Large-Scale Codebases
Parallel algorithms for problems of cluster analysis with very large amount of data
On one-orbit cyclic subspace codes of 𝒢 q (n,3)
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
Exponential Integrators on Graphic Processing Units
Rollable Latent Space for SAR Target Recognition of Un-seen Views
Shall We Play a Game? Language Models for Open-ended Wargames
Data-driven Regularization via Racecar Training for Generalizing Neural Networks
Ethics, Data Science, and Health and Human Services: Embedded Bias in Policy Approaches to Teen Pregnancy Prevention
Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Enhancing Financial Decision-Making: Machine Learning and AI-Powered Predictions and Analysis
An Eulerian hyperbolic model for heat transfer derived via Hamilton's principle: analytical and numerical study
TEDL: A Text Encryption Method Based on Deep Learning
GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization
On the Approximation of Toeplitz Operators for Nonparametric $\mathcal{H}_\infty$-norm Estimation
Multi-Phase EMTR-based Fault Location Method Using Direct Convolution Considering Frequency-Dependent Parameters and Lossy Ground
On the Optimality of Tracking Fisher Information in Adaptive Testing with Stochastic Binary Responses
PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation
Asymmetric Regulation on Steroids: U.S. Competition Policy and Fiber to the Home
Liquid Density Sensing Using Resonant Flexural Plate Wave Device with Sol-Gel PZT Thin Films
Hybrid Actuator Design for a Gait Augmentation Wearable
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge
Online Actuator Selection and Controller Design for Linear Quadratic Regulation over a Finite Horizon
SELFormer: Molecular Representation Learning via SELFIES Language Models
EraseDiff: Erasing Data Influence in Diffusion Models
A Behavior-based Approach for Multi-agent Q-learning for Autonomous Exploration
Path-lifting Mechanism for MRP and Equivalence of Stability between results in ℝ 3 and SO(3)
Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology
Dynamic Orthogonal Matching Pursuit for Signal Reconstruction
Face Detection on Surveillance Images
Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation
Near-Optimal O(k)-Robust Geometric Spanners
Interpolatory Weighted-H2 Model Reduction
Rethinking Tokenization for Rich Morphology: The Dominance of Unigram over BPE and Morphological Alignment
Group Coding with Complex Isometries
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning
A Neurosymbolic Framework for Geometric Reduction of Binary Forms
SQL/JavaScript Hybrid Worms As Two-stage Quines
Credibility evaluation of income data with hierarchical correlation reconstruction
DoomArena: A framework for Testing AI Agents Against Evolving Security Threats
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss
Video compression with low complexity CNN-based spatial resolution adaptation
Feature anomaly detection system (FADS) for intelligent manufacturing
Exploring How FoMO, Social Media Addiction, and Subjective Norms Influence Personal Moderation Configurations
VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge
Preference-Aware Memory Update for Long-Term LLM Agents
LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation
Meta Learning for Knowledge Distillation
Emotional Interaction between Artificial Companion Agents and the Elderly
Capacity Bounds for Quantum Communications through Quantum Trajectories
A pre-training technique to localize medical BERT and enhance BioBERT
Revisiting Interest Indicators Derived from Web Reading Behavior for Implicit User Modeling
DropMax: Adaptive Stochastic Softmax
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation
Samplability makes learning easier
A solver for stiff finite-rate relaxation in Baer-Nunziato two-phase flow models
Few-Shot Learning with a Strong Teacher
Maximally Divergent Intervals for Anomaly Detection
LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls
High Order Control Lyapunov Function - Control Barrier Function - Quadratic Programming Based Autonomous Driving Controller for Bicyclist Safety
Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
RubyStar: A Non-Task-Oriented Mixture Model Dialog System
Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware
Tree decompositions with bounded independence number and their algorithmic applications
Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits
Optimal transport in multilayer networks
Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits
A Framework using Contrastive Learning for Classification with Noisy Labels
Low-resource Languages: A Review of Past Work and Future Challenges
Adaptive Video Encoding For Different Video Codecs
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone
Implementation Of Back-Propagation Neural Network For Isolated Bangla Speech Recognition
RAVE: RISC-V Analyzer of Vector Executions, a QEMU tracing plugin
Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation