yusuke1997/dblp-id-title huggingface dataset:
On joint eigen-decomposition of matrices
Nonmonotone Globalization for Anderson Acceleration Using Adaptive Regularization
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay
Learning Attentional Mixture of LoRAs for Language Model Continual Learning
Total variation-based phase retrieval for diffraction tomography
Probabilistic Soft Type Assignment
Game Derandomization
Remote sensing image classification exploiting multiple kernel learning
Bringing Everyone to the Table: An Experimental Study of LLM-Facilitated Group Decision Making
What's the worth of having a single CS teacher program aimed at teachers with heterogeneous profiles?
A State Space Tool for Models Expressed In C++ (tool paper)
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures
Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
Optimal Radio Resource Allocation for Hybrid Traffic in Cellular Networks: Traffic Analysis and Implementation
Demysifying Deep Neural Networks Through Interpretation: A Survey
Re-designing Dynamic Content Delivery in the Light of a Virtualized Infrastructure
Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models
Optimal Controller Identification for multivariable non-minimum phase systems
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
Harnessing Slow Dynamics in Neuromorphic Computation
Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks
Convergence of a finite difference scheme for the Kuramoto-Sivashinsky equation defined on an expanding circle
Universality of Baysian mixture predictors
Chebyshev and The Fast Fourier Transform Methods for Signal Interpolation
The structure of optimal portfolio strategies for continuous time markets
Light-Weighted CNN for Text Classification
Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
Enhancing Maritime Domain Awareness on Inland Waterways: A YOLO-Based Fusion of Satellite and AIS for Vessel Characterization
A Convolutional Neural Network Approach to Supernova Time-Series Classification
Efficiently and Globally Solving Joint Beamforming and Compression Problem in the Cooperative Cellular Network via Lagrangian Duality
Exploiting the Uncoordinated Privacy Protections of Eye Tracking and VR Motion Data for Unauthorized User Identification
Uniform relations between the Gauss-Legendre nodes and weights
Reconfigurable Intelligent Surfaces-Assisted Multiuser MIMO Uplink Transmission with Partial CSI
Novel High-Throughput Decoding Algorithms for Product and Staircase Codes based on Error-and-Erasure Decoding
Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Prediction
New Approximation Algorithms for Fair k-median Problem
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video
Algorithms for distance problems in planar complexes of global nonpositive curvature
Multi-hop Analog Network Coding: An Amplify-and-Forward Approach
Revisiting Cellular Throughput Prediction: Learning in-situ for Multi-device and Multi-network Considerations for 5G
Lessons learned in a decade of research software engineering GPU applications
Attention to detail: inter-resolution knowledge distillation
AutoML in Heavily Constrained Applications
Efficient And Portable SDR Waveform Development: The Nucleus Concept
SmartNight: Turning Off the Lights on Android
CARE: Content Aware Redundancy Elimination for Disaster Communications on Damaged Networks
Uncovering Hidden Connections: Iterative Tracking and Reasoning for Video-grounded Dialog
Optimization of the n-dimensional sliding window inter-channel correlation algorithm for multi-core architecture
Which architecture should be implemented to manage data from the real world, in an Unreal Engine 5 simulator and in the context of mixed reality?
Parameterized Algorithms for the Steiner Tree Problem on a Directed Hypercube
S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Preliminary Report: On Information Hiding in Multi-Hop Radio Networks
Wages of wins: could an amateur make money from match outcome predictions?
A Cross-Residual Learning for Image Recognition
Compacting Neural Network Classifiers via Dropout Training
Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models
Degree-bounded Online Bipartite Matching: OCS vs. Ranking
Hardware-in-the-Loop and Road Testing of RLVW and GLOSA Connected Vehicle Applications
Achievements in Answer Set Programming (Preliminary Report)
Onsite Non-Line-of-Sight Imaging via Online Calibrations
Learning to Predict Visual Attributes in the Wild
GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation
Stable Persistent Homology Features of Dynamic Metric Spaces
Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries
Attention-Wrapped Hierarchical BLSTMs for DDI Extraction
When Can Helper Node Selection Improve Regenerating Codes? Part II: An Explicit Exact-Repair Code Construction
Stability of a numerical scheme for methane transport in hydrate zone under equilibrium and non-equilibrium conditions
Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay
Gaussians on Riemannian Manifolds for Robot Learning and Adaptive Control
Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View
Gold Price Prediction Using Long Short-Term Memory and Multi-Layer Perceptron with Gray Wolf Optimizer
Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy
Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing
Detecting egregious responses in neural sequence-to-sequence models
The Constrained Round Robin Algorithm for Fair and Efficient Allocation
UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
Developing a Machine-Learning Algorithm to Diagnose Age-Related Macular Degeneration
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
Federated LQR: Learning through Sharing
Please come back later: Benefiting from deferrals in service systems
Understanding Auto-Scheduling Optimizations for Model Deployment via Visualizations
A Quantum Approach to Subset-Sum and Similar Problems
Analysis of Average Consensus Algorithm for Asymmetric Regular Networks
Four-hour thunderstorm nowcasting using deep diffusion models of satellite
Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and Cross-Attention Mechanism
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models
Robust static output feedback control using a Particle Swarm Optimization-DE-linear matrix inequality algorithm hybrid algorithm
Bibliometric Analysis of Scientific Production on the COVID-19 Effect in Information Sciences
Throughput-Optimal Load Balancing for Intra Datacenter Networks
Improving Model Robustness with Transformation-Invariant Attacks
Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images
Length-optimal tool path planning for freeform surfaces with preferred feed directions
Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems
Good Colour Maps: How to Design Them
ContentV: Efficient Training of Video Generation Models with Limited Compute
Finding the most biased coin with fewest flips
A family of orthogonal rational functions and other orthogonal systems with a skew-Hermitian differentiation matrix
Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation
Randomized Algorithms for Large scale SVMs
Causal Analysis of Customer Churn Using Deep Learning
Explicit Word Density Estimation for Language Modelling
Weight mechanism adding a constant in concatenation of series connect
RPHunter: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
Correcting Model Bias with Sparse Implicit Processes
Rotation-Equivariant Deep Learning for Diffusion MRI
AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models
Seeing is not always believing: The Space of Harmless Perturbations
Optimal Machine Intelligence Near the Edge of Chaos
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning
Active Preference Inference using Language Models and Probabilistic Reasoning
Computing Crossing Numbers in Quadratic Time
Agglomerative Attention
Machine learning approach for mapping the stable orbits around planets
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
Learning Generalizable Human Motion Generator with Reinforcement Learning
Empowering Time Series Forecasting with LLM-Agents
Asymptotic size of the Karp-Sipser Core in Configuration Model
Fast and Simplex: 2-Simplicial Attention in Triton
Compressing CNN models for resource-constrained systems by channel and layer pruning
Adaptive Hybrid Sort: Dynamic Strategy Selection for Optimal Sorting Across Diverse Data Distributions
PoseRAC: Pose Saliency Transformer for Repetitive Action Counting
Efficient 3D Aerial Base Station Placement Considering Users Mobility by Reinforcement Learning
Collaborative Human-Robot Surgery for Mandibular Angle Split Osteotomy: Optical Tracking based Approach
Active Learning For Repairable Hardware Systems With Partial Coverage
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction for Hierarchical Reinforcement Learning
Algorithmic Rationality: Game Theory with Costly Computation
Tight Piecewise Convex Relaxations for Global Optimization of Optimal Power Flow
Fair densest subgraph across multiple graphs
Sparse Recovery for Holographic MIMO Channels: Leveraging the Clustered Sparsity
An Epsilon Hierarchical Fuzzy Twin Support Vector Regression
Active-Threaded Algorithms for Provenance Cognition in the Cloud preserving Low Overhead and Fault Tolerance
Quantum Hyperdense Coding for Distributed Communications
Density functions for the overdamped generalized Langevin equation and its Euler-Maruyama method: smoothness and convergence
Improving AI Efficiency in Data Centres by Power Dynamic Response
Improved Approximation Algorithms for Connected Domatic Partitions and Related Problems
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Performance Analysis of Enhanced Clustering Algorithm for Gene Expression Data
Feasibility of Supervised Machine Learning for Cloud Security
MorphoNoC: Exploring the Design Space of a Configurable Hybrid NoC using Nanophotonics
Rethinking GSPO: The Perplexity-Entropy Equivalence
Hadoop in Low-Power Processors
A taxonomy for quality in simulation-based development and testing of automated driving systems
When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning
Class Relevance Learning For Out-of-distribution Detection
Sine Cosine Crow Search Algorithm: A powerful hybrid meta heuristic for global optimization
Non-Parametric Bayesian Rejuvenation of Smart-City Participation through Context-aware Internet-of-Things (IoT) Management
ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation
D2D Multicast in Underlay Cellular Networks with Exclusion Zones
A Hybrid Simulation of DNN-based Gray Box Models
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
Interpreting intermediate convolutional layers in unsupervised acoustic word classification
Singularity and Coordination Problems: Pandemic Lessons from 2020
A Systematic Framework for Dynamically Optimizing Multi-User Wireless Video Transmission
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Safe and Agile Transportation of Cable-Suspended Payload via Multiple Aerial Robots
Multi-LLM-Agent Systems: Techniques and Business Perspectives
On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition
ReCoGS: Real-time ReColoring for Gaussian Splatting scenes
HybridOctree_Hex: Hybrid Octree-Based Adaptive All-Hexahedral Mesh Generation with Jacobian Control
TanDiT: Tangent-Plane Diffusion Transformer for High-Quality 360° Panorama Generation
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
Probabilistic Super-Resolution for High-Fidelity Physical System Simulations with Uncertainty Quantification
Approximating Electoral Control Problems
Long-Term Forecasts of Military Technologies for a 20-30 Year Horizon: An Empirical Assessment of Accuracy
SkyLink: Unifying Street-Satellite Geo-Localization via UAV-Mediated 3D Scene Alignment
On the structure of normalized models of circular-arc graphs - Hsu's approach revisited
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed
Adaptive Queue Prediction Algorithm for an Edge Centric Cyber Physical System Platform in a Connected Vehicle Environment
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Time Optimization of Constrained Control for a Thermoelectric Solid System with a Peltier Element
Shift-ConvNets: Small Convolutional Kernel with Large Kernel Effects
Object Detector Differences when using Synthetic and Real Training Data
On the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments
Cumulative Distribution Function based General Temporal Point Processes
The Condorcet Dimension of Metric Spaces
FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces
Passive Beamforming Design and Channel Estimation for IRS Communication System with Few-Bit ADCs
Privacy Aware Person Detection in Surveillance Data
UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
SEP-Nets: Small and Effective Pattern Networks
ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents
Eff the ineffable: on the uncommunicability of a conceptually simple contribution to HCI methodology
Another virtue of wavelet forests?
Performance Analysis of DNA Crossbar Arrays for High-Density Memory Storage Applications
NeMo-Inspector: A Visualization Tool for LLM Generation Analysis
We Are Not There Yet: The Implications of Insufficient Knowledge Management for Organisational Compliance
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient
Cross-Question Method Reuse in Large Language Models: From Word-Level Prediction to Rational Logical-Layer Reasoning
MobilityDL: A Review of Deep Learning From Trajectory Data
A Comparison of Adversarial Learning Techniques for Malware Detection
Matched-Filter Design to Improve Self-Interference Cancellation in Full-Duplex Communication Systems
Numerical Solution Partial Differential Equations using the Discrete Fourier Transform
Second Hand Price Prediction for Tesla Vehicles
Yum-me: Personalized Healthy Meal Recommender System
PTRM: Perceived Terrain Realism Metrics
Development of Fake News Model using Machine Learning through Natural Language Processing
Self-citation Analysis using Sentence Embeddings
Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning
Meta-Learning for Time Series Forecasting Ensemble
Analyzing Player Involvement in the Indian Pro Kabaddi League: A Network Analysis Approach
Stochastic Perron's method for Hamilton-Jacobi-Bellman equations
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Scaling up Echo-State Networks with multiple light scattering
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts
Evaluating Neural Language Models as Cognitive Models of Language Acquisition
Feature Selection using the concept of Peafowl Mating in IDS
Constraint-Based Causal Discovery In The Presence Of Cycles
Random networks with arbitrary k-core structure
Fundamental Limits of Caching: Improved Bounds For Small Buffer Users
Enhancing Expressiveness in Dance Generation via Integrating Frequency and Music Style Information
Fake News Detection Tools and Methods - A Review
MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
A New Outlook on the Profitability of Rogue Mining Strategies in the Bitcoin Network
Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification
Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors
Quizbowl: The Case for Incremental Question Answering
Everything You Always Wanted to Know About TREC RTS* (*But Were Afraid to Ask)
Analysis of Recent Trends in Face Recognition Systems
Performance Evaluation of Vision-Based Algorithms for MAVs
Effective Strategies for Using Hashtags in Online Communication
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
Structure-preserving function approximation via convex optimization
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
Towards Reliable Evaluation of Large Language Models for Multilingual and Multimodal E-Commerce Applications
White Hat Search Engine Optimization using Large Language Models
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks
Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks
Multimodal sparse representation learning and applications
A linear proof language for second-order intuitionistic linear logic
Switchable Single/Dual Edge Registers for Pipeline Architecture
Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas
Conforming Finite Element Function Spaces in Four Dimensions, Part 1: Foundational Principles and the Tesseract
Chinese Typeface Transformation with Hierarchical Adversarial Network
Discounting in Games across Time Scales
Multiuser MISO UAV Communications in Uncertain Environments with No-fly Zones: Robust Trajectory and Resource Allocation Design
Actin droplet machine
Integrated speech and morphological processing in a connectionist continuous speech understanding for Korean
Equivalence Checking By Logic Relaxation
COLT: Enhancing Video Large Language Models with Continual Tool Usage
Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs (Extended Version)
The Maximum Cut Problem in Co-bipartite Chain Graphs
From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images
A Preliminary Model for the Design of Music Visualizations
Iltis: Teaching Logic in the Web
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach
Petrification: Software Model Checking for Programs with Dynamic Thread Management (Extended Version)
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
Plagiarism Detection Using Machine Learning
Robust Inference Policies
Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study
"When Data is Scarce, Prompt Smarter"... Approaches to Grammatical Error Correction in Low-Resource Settings
TagMe: GPS-Assisted Automatic Object Annotation in Videos
Identifying First-person Camera Wearers in Third-person Videos
Universal Domain Adaptation from Foundation Models
PrediTree: A Multi-Temporal Sub-meter Dataset of Multi-Spectral Imagery Aligned With Canopy Height Maps
Control of dynamical systems with neural networks
On the Evaluation of Generative Models in High Energy Physics
Explainable Deep Learning for Secrecy Energy-Efficiency Maximization in Ambient Backscatter Multi-User NOMA Systems
Simulation of valveless micropump and mode analysis
An Improved EPA based Receiver Design for Uplink LDPC Coded SCMA System
Adaptive Mesh Refinement for Electromagnetic Simulation
A Path To DOT: Formalizing Fully-Path-Dependent Types
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching
Rebalanced Zero-shot Learning
Generating Scale-free Networks with Adjustable Clustering Coefficient Via Random Walks
It was not known about simple cycles
Capturing Spectral and Long-term Contextual Information for Speech Emotion Recognition Using Deep Learning Techniques
Divide and Ensemble: Progressively Learning for the Unknown
IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Health
Video Classification with Channel-Separated Convolutional Networks
Comparing feature fusion strategies for Deep Learning-based kidney stone identification
Towards Comfortable Cycling: A Practical Approach to Monitor the Conditions in Cycling Paths
Foundation Models for Time Series: A Survey
SiLVERScore: Semantically-Aware Embeddings for Sign Language Generation Evaluation
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving
Analytical Model of Memory-Bound Applications Compiled with High Level Synthesis
Regulated Pure Pursuit for Robot Path Tracking
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
Toward Evolution Strategies Application in Automatic Polyphonic Music Transcription using Electronic Synthesis
Mathematical Modeling of the Weaving Structure Design
Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring
Reinforcement Learning for Assignment problem
Joint Discriminative-Generative Modeling via Dual Adversarial Training
Self-Supervised Pretext Tasks for Alzheimer's Disease Classification using 3D Convolutional Neural Networks on Large-Scale Synthetic Neuroimaging Dataset
Agnostic Membership Query Learning with Nontrivial Savings: New Results, Techniques
Cast vote records: A database of ballots from the 2020 U.S. Election
Pando: a Volunteer Computing Platform for the Web
Comprehensive Cognitive LLM Agent for Smartphone GUI Automation
Running genetic algorithms on Hadoop for solving high dimensional optimization problems
Towards user-centered interactive medical image segmentation in VR with an assistive AI agent
Frequency Range 3 for ISAC in 6G: Potentials and Challenges
Complexity Guarantees for Nonconvex Newton-MR Under Inexact Hessian Information
Tree-wise Distribution Sensitive hashing: Efficient Maximum likelihood Classification by joint dimensionality reduction in known probabilistic settings
DW-KNN: A Transparent Local Classifier Integrating Distance Consistency and Neighbor Reliability
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training
Comparison Between IPv4 to IPv6 Transition Techniques
Absence of chaos in Digital Memcomputing Machines with solutions
Atomic Cluster Expansion without Self-Interaction
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification