yusuke1997/dblp-id-title huggingface dataset:
GlobalTrack: A Simple and Strong Baseline for Long-term Tracking
Personalized Vision via Visual In-Context Learning
Reliable Academic Conference Question Answering: A Study Based on Large Language Model
Uplink performance of multi-antenna cellular networks with co-operative base stations and user-centric clustering
Large Language Models for Failure Mode Classification: An Investigation
A Soft-Aided Staircase Decoder Using Three-Level Channel Reliabilities
A Control-Oriented Notion of Finite State Approximation for Systems Over Finite Alphabets
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
Owicki-Gries Logic for Timestamp Semantics
Constrained Meta Agnostic Reinforcement Learning
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
Coded Pilot Access: A Random Access Solution for Massive MIMO Systems
Affective Air Quality Dataset: Personal Chemical Emissions from Emotional Videos
PRAMs over integers do not compute maxflow efficiently
SIMU: Selective Influence Machine Unlearning
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters
RackLay: Multi-Layer Layout Estimation for Warehouse Racks
MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI
Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction
Measuring diversity of synthetic prompts and data generated with fine-grained persona prompting
Distributed Constraint-Coupled Optimization over Lossy Networks
Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress
Utility-Learning Tension in Self-Modifying Agents
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
Momentum Benefits Non-IID Federated Learning Simply and Provably
CiNCT: Compression and retrieval for massive vehicular trajectories via relative movement labeling
Existence and Construction of LCD codes over Finite Fields
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels
First Experiences Optimizing Smith-Waterman on Intel's Knights Landing Processor
Service Delay Minimization for Federated Learning over Mobile Devices
Dynamic Path Planning and Movement Control in Pedestrian Simulation
Distributed Data Storage Systems with Opportunistic Repair
A Status Quo Investigation of Large Language Models towards Cost-Effective CFD Automation with OpenFOAMGPT: ChatGPT vs. Qwen vs. Deepseek
Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning
Self-Aligned Double Patterning Friendly Configuration for Standard Cell Library Considering Placement
Strong link between BWT and XBW via Aho-Corasick automaton and applications to Run-Length Encoding
Skew constacyclic codes over a class of finite commutative semisimple rings
Cytoplasmic Strings Analysis in Human Embryo Time-Lapse Videos using Deep Learning Framework
ISS With Respect to Boundary Disturbances for 1-D Parabolic PDES
In-Context Convergence of Transformers
Video Dialog as Conversation about Objects Living in Space-Time
Intractability of approximate multi-dimensional nonlinear optimization on independence systems
On the Distributional Properties of Adaptive Gradients
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition
Learning What to Attend First: Modality-Importance-Guided Reasoning for Reliable Multimodal Emotion Understanding
Navigation in tilings of the hyperbolic plane and possible applications
ShaRF: Shape-conditioned Radiance Fields from a Single View
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance
Dynamic User Segmentation and Usage Profiling
Sequoia: A Software Framework to Unify Continual Learning Research
Decision-Making under Miscalibration
Network Moments: Extensions and Sparse-Smooth Attacks
Machine Learning for Genomic Data
Using network structure and community detection to discover important website features when distinguishing between phishing and legitimate ones
Smart Language Agents in Real-World Planning
LLM-Guided Scenario-based GUI Testing
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue
The Economics of Augmented and Virtual Reality
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks
Divisible Load Scheduling in Mobile Grid based on Stackelberg Pricing Game
Artificial Intelligence Systems applied to tourism: A Survey
Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A Survey
Iterative learning control in prosumer-based microgrids with hierarchical control
A constrained tropical optimization problem: complete solution and application example
Proofs of the Technical Results Justifying an Algorithm of Reactive 3D Navigation for a Surface Scan by a Nonholonomic Mobile Robot
On the Security of an Unconditionally Secure, Universally Composable Inner Product Protocol
Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
Hyperintensional Intention
Multi-objective Evolution of Heuristic Using Large Language Model
Automated Generation of Dimensioned Rectangular Floorplans
A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System
Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication
Robust and Fast 3D Scan Alignment using Mutual Information
SAMEP: A Secure Protocol for Persistent Context Sharing Across AI Agents
Analyzing sparse dictionaries for online learning with kernels
General policy mapping: online continual reinforcement learning inspired on the insect brain
Can LLMs Recognize Toxicity? Structured Toxicity Investigation Framework and Semantic-Based Metric
Point Cloud Compression with Bits-back Coding
Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning
Distribution-Free Robust Linear Regression
Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers
Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation
Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM
Optimal Transport Adapter Tuning for Bridging Modality Gaps in Few-Shot Remote Sensing Scene Classification
Generative Early Stage Ranking
Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image Recognition
Uncovering the Bias in Facial Expressions
Galilean Symmetry in Robotics
Penalizing small errors using an Adaptive Logarithmic Loss
The Random Variables of the DNA Coverage Depth Problem
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
Evaluation of Three Nonlinear Control Methods to Reject the Constant Bounded Disturbance for Robotic Manipulators
Programming Cloud Resource Orchestration Framework: Operations and Research Challenges
Line Flow based SLAM
Dynamic Metric Learning from Pairwise Comparisons
Age-Invariant Face Embedding using the Wasserstein Distance
Model Predictive Approach for Detumbling an Underactuated Satellite
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition
Redundant Array Computation Elimination
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
Neural Programmer: Inducing Latent Programs with Gradient Descent
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods
MultiPath Transfer Engine: Breaking GPU and Host-Memory Bandwidth Bottlenecks in LLM Services
Hierarchical GraphCut Phase Unwrapping based on Invariance of Diffeomorphisms Framework
Best-of-Both-Worlds Guarantees with Fairer Endings
End-to-End Predictions-Based Resource Management Framework for Supercomputer Jobs
Communication, and concurrency with logic-based restriction inside a calculus of structures
Edsger W. Dijkstra: a Commemoration
A Semi-automated Peer-review System
A Population Model for the Academic Ecosystem
2D bidirectional gated recurrent unit convolutional Neural networks for end-to-end violence detection In videos
Covariate Gaussian Process Latent Variable Models
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
Hybrid Scheme of Post-Quantum Cryptography and Elliptic-Curve Cryptography for Certificates - A Case Study of Security Credential Management System in Vehicle-to-Everything Communications
Towards Self-Supervised High Level Sensor Fusion
Byzantine-Robust Decentralized Coordination of LLM Agents
Voting for Deceptive Opinion Spam Detection
Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks
Learning normalizing flows from Entropy-Kantorovich potentials
A Local Algorithm for Finding Dense Subgraphs
A digital twin based approach to smart lighting design
Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)
Towards a Question Answering System over the Semantic Web
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution
Hazard Gradient Penalty for Survival Analysis
TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
Who's Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots
One Year of DDoS Attacks Against a Cloud Provider: an Overview
An Iterative Task-Driven Framework for Resilient LiDAR Place Recognition in Adverse Weather
How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
Predicting proximity with ambient mobile sensors for non-invasive health diagnostics
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution
Analysis of Two-Station Polling Queues with Setups using Continuous Time Markov Chain
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis
Visual RAG: Expanding MLLM visual knowledge without fine-tuning
Hulls of Cyclic Codes over Z 4
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation
Explaining Deep Neural Networks
Investigating large language models for their competence in extracting grammatically sound sentences from transcribed noisy utterances
A Data-Centric Approach to 3D Semantic Segmentation of Railway Scenes
High-dimensional noise-based logical controller
Technical Report: A Contact-aware Feedback CPG System for Learning-based Locomotion Control in a Soft Snake Robot
An automatic volume control for preserving intelligibility
Synthetic aperture imaging with intensity-only data
Calibrated Simplex Mapping Classification
Adapting to the AI Disruption: Reshaping the IT Landscape and Educational Paradigms
Reward (Mis)design for Autonomous Driving
Player Re-Identification Using Body Part Appearences
A stabilized DG cut cell method for discretizing the linear transport equation
Dimensionality reduction for prediction: Application to Bitcoin and Ethereum
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
Visual Monitoring for Multiple Points of Interest on a 2.5D Terrain using a UAV with Limited Field-of-View Constraint
Programmable Spectrometry - Per-pixel Classification of Materials using Learned Spectral Filters
BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation
Nonlinear MPC for full-pose manipulation of a cable-suspended load using multiple UAVs
Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers
Scaling ResNets in the Large-depth Regime
A Comparison between Frame-based and Event-based Cameras for Flapping-Wing Robot Perception
Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems
Virtual Fluoroscopy for Interventional Guidance using Magnetic Tracking
SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images
The Prolog Interface to the Unstructured Information Management Architecture
Dimensional Reduction of Solvency Contagion Dynamics on Financial Networks
Using Bluetooth to capture passenger trips on public transport buses
Stable Invariant Models via Koopman Spectra
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment
Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics
An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet
Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoost
Calculated attributes of synonym sets
Stability Analysis of Large-Scale Distributed Networked Control Systems with Random Communication Delays: A Switched System Approach
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
SynCoLFinGer: Synthetic Contactless Fingerprint Generator
On sampling symmetric Gibbs distributions on sparse random graphs and hypergraphs
EviPrompt: A Training-Free Evidential Prompt Generation Method for Segment Anything Model in Medical Images
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
Impact of digital economic activity on regional economic growth: A Case study from northern Minas Gerais between 2009 To 2018
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods
Coop-RPL: A Cooperative Approach to RPL-based Routing in Smart Grid AMI Networks
Using Multi-Viewpoint Contracts for Negotiation of Embedded Software Updates
Towards Understanding the Challenges of Bug Localization in Deep Learning Systems
It's FLAN time! Summing feature-wise latent representations for interpretability
Computer Vision based inspection on post-earthquake with UAV synthetic dataset
Developing a Collaborative and Autonomous Training and Learning Environment for Hybrid Wireless Networks
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
A nonsmooth extension of the Brezzi-Rappaz-Raviart approximation theorem via metric regularity techniques and applications to nonlinear PDEs
Culture and International Usability Testing: The Effects of Culture in Structured Interviews
Developing Multi-Agent Systems with Degrees of Neuro-Symbolic Integration [A Position Paper]
A reference frame-based microgrid primary control for ensuring global convergence to a periodic orbit
When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
DRWKV: Focusing on Object Edges for Low-Light Image Enhancement
Key Frame Extraction with Attention Based Deep Neural Networks
LUNA: A Framework for Language Understanding and Naturalness Assessment
Instance-level Few-shot Learning with Class Hierarchy Mining
Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph
Modelling Intertextuality with N-gram Embeddings
KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes
TRINITY: Coordinated Performance, Energy and Temperature Management in 3D Processor-Memory Stacks
Efficient Baseline for Quantitative Precipitation Forecasting in Weather4cast 2023
On Relation between Constraint Answer Set Programming and Satisfiability Modulo Theories
A Network Digital Twin of a 5G Private Network: Designing a Proof-of-Concept from Theory to Practice
Comparing LSTM-Based Sequence-to-Sequence Forecasting Strategies for 24-Hour Solar Proton Flux Profiles Using GOES Data
Streaming Algorithms for News and Scientific Literature Recommendation: Submodular Maximization with a d-Knapsack Constraint
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
Cyberattack Detection in Mobile Cloud Computing: A Deep Learning Approach
A Machine Learning Approach to Automatic Fall Detection of Soldiers
TSCnet: A Text-driven Semantic-level Controllable Framework for Customized Low-Light Image Enhancement
The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review
Graph and Union of Graphs Compositions
Higher-arity PAC learning, VC dimension and packing lemma
Translating Text Synopses to Video Storyboards
Artificial Intelligence & Cooperation
Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network
Autocorrelation-Run Formula for Binary Sequences
Computational Homogenization of Fresh Concrete Flow Around Reinforcing Bars
One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
A Recursive PLS (Partial Least Squares) based Approach for Enterprise Threat Management
Applying Deep Learning To Airbnb Search
On the Inverse Of General Cyclic Heptadiagonal and Anti-Heptadiagonal Matrices
Are Pre-trained Convolutions Better than Pre-trained Transformers?
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance - A Case Study in Finance
Random Forest Autoencoders for Guided Representation Learning
Associative Learning for Network Embedding
Instant Motion Tracking and Its Applications to Augmented Reality
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors
Transducer-based Rewriting Games for Active XML
Deontic modality based on preference
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction
A Generalizable Knowledge Framework for Semantic Indoor Mapping Based on Markov Logic Networks and Data Driven MCMC
A Parallel Way to Select the Parameters of SVM Based on the Ant Optimization Algorithm
A Compositional Neuro-Controller for Advanced Motor Control Tasks
On the relation between topological entropy and restoration entropy
Probabilistic Binary Neural Networks
Deep Generative Models on 3D Representations: A Survey
A Data Driven Approach to Query Expansion in Question Answering
Desenvolvimento de ferramenta de simulação para auxílio no ensino da disciplina de robótica industrial
Design and Analysis of a Multi-Agent E-Learning System Using Prometheus Design Tool
Compressive Sensing of Large-Scale Images: An Assumption-Free Approach
NAE-SAT-based probabilistic membership filters
ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings
Mesoscopic approach to minority games in herd regime
Multi-View Stereo Representation Revisit: Region-Aware MVSNet
Echo-N1: Affective RL Frontier
Three Stories on a Two-sided Coin: Index Coding, Locally Recoverable Distributed Storage, and Guessing Games on Graphs
Mixed finite element methods for the ferrofluid model with magnetization paralleled to the magnetic field
Convergence Analysis of Iterated Best Response for a Trusted Computation Game
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
LRWR: Large-Scale Benchmark for Lip Reading in Russian language
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR
Calibrated Explanations for Regression
RealCertify: a Maple package for certifying non-negativity
TraceHiding: Scalable Machine Unlearning for Mobility Data
Carpet-bombing patch: attacking a deep network without usual requirements
Two is Better Than One: Answering Complex Questions by Multiple Knowledge Sources with Generalized Links
Combined Regularization and Discretization of Equilibrium Problems and Primal-Dual Gap Estimators
Set-valued dynamic treatment regimes for competing outcomes
Real-time 3D Light-field Viewing with Eye-tracking on Conventional Displays
Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation
GRuB: Gas-Efficient Blockchain Storage via Workload-Adaptive Data Replication
Stochastic Distributed Optimization for Machine Learning from Decentralized Features
An improvement of the asymptotic Elias bound for non-binary codes
Intelligent Trajectory Planning in UAV-mounted Wireless Networks: A Quantum-Inspired Reinforcement Learning Perspective
Memento: Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation
Trajectory-aware Shifted State Space Models for Online Video Super-Resolution
Topological descriptors for 3D surface analysis
Diffusion Models in NLP: A Survey
Impact of Visuomotor Feedback on the Embodiment of Virtual Hands Detached from the Body
Geospatial Machine Learning Libraries
Improved results for a memory allocation problem
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile
RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
On Planar Visibility Counting Problem
Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift
Deep Metric Structured Learning For Facial Expression Recognition
Optimal Sizing of On-site Renewable Resources for Offshore Microgrids
OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning
DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning
Security Decisions for Cyber-Physical Systems based on Solving Critical Node Problems with Vulnerable Nodes
Morphological Analysis of the Bishnupriya Manipuri Language using Finite State Transducers
Spectral Efficiency of Multipair Massive MIMO Two-Way Relaying with Hardware Impairments
Large Scale Artificial Neural Network Training Using Multi-GPUs
Few-shot Sim2Real Based on High Fidelity Rendering with Force Feedback Teleoperation
Efficient Sparse Flow Decomposition Methods for RNA Multi-Assembly
Controllable-Continuous Color Editing in Diffusion Model via Color Mapping
InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On
Influence of coronary plaque morphology on local mechanical states and associated in-stent restenosis
Opinion Diffusion Software with Strategic Opinion Revelation and Unfriending
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning
An AI Architecture with the Capability to Classify and Explain Hardware Trojans
Spatio-Temporal Graph Structure Learning for Earthquake Detection
Evaluating Facial Expression Recognition Datasets for Deep Learning: A Benchmark Study with Novel Similarity Metrics
Automatic detection of alarm sounds in a noisy hospital environment using model and non-model based approaches
Design, Integration, and Field Evaluation of a Robotic Blossom Thinning System for Tree Fruit Crops
Low complexity, low probability patterns and consequences for algorithmic probability applications
A Software Architecture for Automatic Deployment of CORBA Components Using Grid Technologies
The Gap Between Principle and Practice of Lossy Image Coding