yusuke1997/dblp-id-title huggingface dataset:
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons
Relationship-based Neural Baby Talk
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions
Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities
New MDS Self-Dual Codes from Generalized Reed-Solomon Codes
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting
RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems
Reducing Hallucinations in Entity Abstract Summarization with Facts-Template Decomposition
Approximation Algorithms for the Cumulative Vehicle Routing Problem with Stochastic Demands
QuadrupedGPT: Towards a Versatile Quadruped Agent in Open-ended Worlds
Flexible and Adaptive Manufacturing by Complementing Knowledge Representation, Reasoning and Planning with Reinforcement Learning
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
Coloring Down: $3/2$-approximation for special cases of the weighted tree augmentation problem
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
Differential Machine Learning for Time Series Prediction
Scooter-to-X Communications: Antenna Placement, Human Body Shadowing, and Channel Modeling
Joint-YODNet: A Light-weight Object Detector for UAVs to Achieve Above 100fps
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition
Slicing the IO execution with ReLayTracer
DiProber: Using Dual Probing to Estimate Tor Relay Capacities in Underloaded Networks
Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
Understanding Global Loss Landscape of One-hidden-layer ReLU Neural Networks
HiRE: High Recall Approximate Top-k Estimation for Efficient LLM Inference
OCP-LS: An Efficient Algorithm for Visual Localization
Nominal Sets in Rocq
Pragmatic classification of movement primitives for stroke rehabilitation
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Distribution-Dependent Rates for Multi-Distribution Learning
Behavioural Preorders on Stochastic Systems - Logical, Topological, and Computational Aspects
Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory
Sub-Micrometer Particles Remote Detection in Enceladus Plume Based on Cassinis UV Spectrograph Data
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis
Systematic Overestimation of Machine Learning Performance in Neuroimaging Studies of Depression
Power Minimization for NOMA-assisted Pinching Antenna Systems With Multiple Waveguides
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails
Model-Free and Real-Time Bioinspired Unicycle-Based Source Seeking: Differential Wheeled Robotic Experiments
A fixed-parameter tractable algorithm for combinatorial filter reduction
ClaimChain: Decentralized Public Key Infrastructure
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model
A Survey of Fog Computing and Communication: Current Researches and Future Directions
Causal inference and model explainability tools for retail
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models
Data Augmentation For Small Object using Fast AutoAugment
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation
Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs
eCDT: Event Clustering for Simultaneous Feature Detection and Tracking-
A note on quantum black-box complexity of almost all Boolean functions
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
Inequalities, identities, and bounds for divided differences of the exponential function
Multiagent Simulators for Social Networks
Dynamic Interference Management
Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework
Extended master equation models for molecular communication networks
A Novel Approach to Implement Message Level Security in RESTful Web Services
Probabilistic error analysis of limited-precision stochastic rounding
Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations
Neural Embeddings of Graphs in Hyperbolic Space
Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics
Context-Aware Agent-based Model for Smart Long Distance Transport System
Curriculum-Based Neighborhood Sampling For Sequence Prediction
Efficient transfer learning for NLP with ELECTRA
MatMMFuse: Multi-Modal Fusion model for Material Property Prediction
Distributed simulation of city inundation by coupled surface and subsurface porous flow for urban flood decision support system
An Introduction to Finite Fibonomial Calculus
Optimizing Synchronization Algorithm for Auto-parallelizing Compiler
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets
PASS-Enhanced MEC: Joint Optimization of Task Offloading and Uplink PASS Beamforming
Quantitative Analysis of IITs' Research Growth and SDG Contributions
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
Tight Non-asymptotic Inference via Sub-Gaussian Intrinsic Moment Norm
A New View of Observed Galaxies through 3D Modelling and Visualisation
Run-to-Run Adaptive Nonlinear Feedforward Control of Electromechanical Switching Devices
Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use
Non-convergence to the optimal risk for Adam and stochastic gradient descent optimization in the training of deep neural networks
The Tribes of Machine Learning and the Realm of Computer Architecture
Fault in your stars: An Analysis of Android App Reviews
A new operational interpretation of relative entropy and trace distance between quantum states
SO(3) attitude controllers and the alignment of robots with non-constant 3D vector fields
MODEST: Multi-Optics Depth-of-Field Stereo Dataset
DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
The Ising antiferromagnet and max cut on random regular graphs
A Set Theoretic Approach for Knowledge Representation: the Representation Part
Fault Tolerant Wireless Sensor MAC Protocol for Efficient Collision Avoidance
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning
Graphic lambda calculus and knot diagrams
CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier
Hierarchical Clustering Using Mutual Information
A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid Applications
Constrained Language Generation with Discrete Diffusion Models
Street View Sociability: Interpretable Analysis of Urban Social Behavior Across 15 Cities
Multi-Robot Scan-n-Print for Wire Arc Additive Manufacturing
Uncertain but Useful: Leveraging CNN Variability into Data Augmentation
A systematic literature review to unveil users objective reaction to virtual experiences: Complemented with a conceptual model (QoUX in VE)
Modelling Probabilistic FPC in Guarded Type Theory
Numeration systems on a regular language
Active Bayesian Assessment for Black-Box Classifiers
How to cut a cake with a gram matrix
Benchmarking Multi-Agent Preference-based Reinforcement Learning for Human-AI Teaming
Golden Angle Modulation: Approaching the AWGN Capacity
Vulnerable Source Code Detection using SonarCloud Code Analysis
ZNorm: Z-Score Gradient Normalization for Accelerating Neural Network Training
TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding
Deep Contextual Embeddings for Address Classification in E-commerce
Conformalized Physics-Informed Neural Networks
ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
The Limit of Recursion in State-based Systems
Geometric Understanding of Sketches
Enhancing LLM-based Code Translation in Repository Context via Triple Knowledge-Augmented
Effective submodularity of influence maximization on temporal networks
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection
Diversity and Intelligence in Multi-robot Teams
Hardness and Algorithmic Results for Roman {3}-Domination
An Algebraic Approach for Computing Equilibria of a Subclass of Finite Normal Form Games
Improving Sentence Representations with Multi-view Frameworks
Self-similar Magneto-electric Nanocircuit Technology for Probabilistic Inference Engines
MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction
A Cable-Driven Parallel Robot with Full-Circle End-Effector Rotations
Black-box Few-shot Knowledge Distillation
Revisiting the D-iteration method: from theoretical to practical computation cost
A Trajectory UML profile For Modeling Trajectory Data: A Mobile Hospital Use Case
Bioinformatics Knowledge Transmission (training, learning, and teaching): overview and flexible comparison of computer based training approaches
Conversations with Search Engines
No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
Multimodal Representation Learning using Deep Multiset Canonical Correlation
Interprecision transfers in iterative refinement
Symbolic image detection using scene and knowledge graphs
Data Deletion for Linear Regression with Noisy SGD
iSeg: An Iterative Refinement-based Framework for Training-free Segmentation
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks
Accelerating Streaming Video Large Language Models via Hierarchical Token Compression
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
Continual Low-Rank Scaled Dot-product Attention
Influence-Guided Concolic Testing of Transformer Robustness
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
The interdefinability of expansions of Belnap-Dunn logic
The Game is the Game: Dynamic network analysis and shifting roles in criminal networks
A Longitudinal Assessment of the Persistence of Twitter Datasets
Multi-Volume High Resolution RGB-D Mapping with Dynamic Volume Placement
Sentiment Analysis of Twitter Data : A Survey of Techniques
EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization
SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning
ADS 2.0: new architecture, API and services
A convex variational principle for the necessary conditions of classical optimal control
Implementation of real-time moving horizon estimation for robust air data sensor fault diagnosis in the RECONFIGURE benchmark
Mind the box: l 1 -APGD for sparse adversarial attacks on image classifiers
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification
Rethinking the Evaluation of Neural Machine Translation
Function Based Nonlinear Least Squares and Application to Jelinski--Moranda Software Reliability Model
Component Based Modeling of Ultrasound Signals
Avoiding Black Hole and Cooperative Black Hole Attacks in Wireless Ad hoc Networks
Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling
Reconstructing Tornadoes in 3D with Gaussian Splatting
From English To Foreign Languages: Transferring Pre-trained Language Models
Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks
Explaining Reinforcement Learning Policies through Counterfactual Trajectories
Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model
Auto-LfD: Towards Closing the Loop for Learning from Demonstrations
Higher-Order Mathematical Operational Semantics
A Polynomial Time Algorithm for Almost Optimal Vertex Fault Tolerant Spanners
Analysing the fall 2020 Emotet campaign
TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty
Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning
Classroom Activities and New Classroom Apps for Enhancing Children's Understanding of Social Media Mechanisms
FLUX: A Logic Programming Method for Reasoning Agents
A Matter of Interest: Understanding Interestingness of Math Problems in Humans and Language Models
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
Algorithms for Stochastic Games on Interference Channels
A Hybrid Model for Estimating Software Project Effort from Use Case Points
On an ecumenical natural deduction with stoup - Part I: The propositional case
Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases
Hanke-Raus heuristic rule for iteratively regularized stochastic gradient descent
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS
New 2D CA based Image Encryption Scheme and a novel Non-Parametric Test for Pixel Randomness
Robust Transfer Learning with Unreliable Source Data
Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network
Wireless Self-Powered Visual and NDE low-Cost Inspection System For Small Diameter Live Gas Distribution Mains
On Investment-Consumption with Regime-Switching
One Thing One Click++: Self-Training for Weakly Supervised 3D Scene Understanding
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A systematic literature review
Regularized Schrödinger Bridge: Alleviating Distortion and Exposure Bias in Solving Inverse Problems
Accessing LLMs for Front-end Software Architecture Knowledge
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems
PoseGPT: Chatting about 3D Human Pose
On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox
Interactive Proof-of-stake
Breaking Community Boundary: Comparing Academic and Social Communication Preferences regarding Global Pandemics
Interactive Proofs with Quantum Finite Automata
G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation
Mini Autonomous Car Driving based on 3D Convolutional Neural Networks
Property Classification of Vacation Rental Properties during Covid-19
Fast Reinforcement Learning for Anti-jamming Communications
Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly
Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region Selection
How good is the h-index?
On the computation of Shannon Entropy from Counting Bloom Filters
LLM-BABYBENCH: Understanding and Evaluating Grounded Planning and Reasoning in LLMs
Modified PSO based PID Sliding Mode Control using Improved Reaching Law for Nonlinear systems
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction
Application performance on a Cluster-Booster system
Provably Efficient Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning
Reversible Image data Hiding using Lifting wavelet Transform and Histogram Shifting
Secure Semantic Communication With Homomorphic Encryption
Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
Using machine learning to parametrize postmerger signals from binary neutron stars
Contextual Modeling for 3D Dense Captioning on Point Clouds
SynDoc: A Hybrid Discriminative-Generative Framework for Enhancing Synthetic Domain-Adaptive Document Key Information Extraction
Leveraging Legacy Data to Accelerate Materials Design via Preference Learning
An Analysis of the Impact of SEO on University Website Ranking
LANTENNA: Exfiltrating Data from Air-Gapped Networks via Ethernet Cables
Dual-Scale Single Image Dehazing Via Neural Augmentation
A Unifying Bayesian View of Continual Learning
Wireless charging and readout via textile coil for continuous full-body wearable computing
MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
Depth-dependent Parallel Visualization with 3D Stylized Dense Tubes
Outage Probability for Multi-Cell Processing under Rayleigh Fading
CineWild: Balancing Art and Robotics for Ethical Wildlife Documentary Filmmaking
Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning
Online Monitoring ω-Regular Properties in Unknown Markov Chains
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology
Link Prediction using Graph Neural Networks for Master Data Management
Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Computation of the incomplete gamma function for negative values of the argument
Distributed Data Collection and Storage Algorithms for Collaborative Learning Vision Sensor Devices with Applications to Pilgrimage
An Evaluation of the EEG alpha-to-theta and theta-to-alpha band Ratios as Indexes of Mental Workload
Unsupervised Summarization by Jointly Extracting Sentences and Keywords
MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
Optimally Training a Cascade Classifier
Void Shape Identification in a 2D Point Distribution
Crowd, Lending, Machine, and Bias
Increasing city safety awareness regarding disruptive traffic stream
Into the Wild: When Robots Are Not Welcome
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models
Network Estimation from Point Process Data
An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models
Partial Rewriting for Multi-Stage ASR
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation
Treatment response as a latent variable
A First Study of MEV on an Up-and-Coming Blockchain: Algorand
Sketch-Based Streaming Anomaly Detection in Dynamic Graphs
Motion optimization and parameter identification for a human and lower-back exoskeleton model
On the limit distribution of the normality measure of random binary sequences
ROOT I/O compression improvements for HEP analysis
VISUALCENT: Visual Human Analysis using Dynamic Centroid Representation
Chat, Shift and Perform: Bridging the Gap between Task-oriented and Non-task-oriented Dialog Systems
Guided Manifold Alignment with Geometry-Regularized Twin Autoencoders
CardioRAG: A Retrieval-Augmented Generation Framework for Multimodal Chagas Disease Detection
Robust Anomaly Detection in Industrial Environments via Meta-Learning
Competitive Policy Optimization
CNNs for Style Transfer of Digital to Film Photography
Anomaly detection for the identification of volcanic unrest in satellite imagery
Distributed Sparse Linear Regression under Communication Constraints
Multilayer Networks in a Nutshell
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update
Are All Training Examples Created Equal? An Empirical Study
SoftCloud: A Tool for Visualizing Software Artifacts as Tag Clouds
On the Evaluation of the Eigendecomposition of the Airy Integral Operator
A Study of Knowledge Sharing related to Covid-19 Pandemic in Stack Overflow
Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets
A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation
Face Verification via learning the kernel matrix
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
Erasure Schemes Using Generalized Polar Codes: Zero-Undetected-Error Capacity and Performance Trade-offs
Unfolding Convex Polyhedra via Quasigeodesics
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models
Subspace Leakage Analysis and Improved DOA Estimation with Small Sample Size
EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
Plug and Play! A Simple, Universal Model for Energy Disaggregation
Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond
Object-Centric Vision Token Pruning for Vision Language Models
Blockchain-based Decentralized Identity Management for Healthcare Systems
Superpixels: An Evaluation of the State-of-the-Art
Enhanced Quantum Circuit Cutting Framework for Sampling Overhead Reduction
Conditional Deep Generative Models for Belief State Planning
Contextual Visual Similarity
vashTimer: A Multi-Purpose, Multimodal Mobile App For Maintaining Passage of Time by means of Visual, Auditory, Speech, and Haptic Alerts
A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018)
Lifetime Improvement in Wireless Sensor Networks via Collaborative Beamforming and Cooperative Transmission
Quantum-Inspired Machine Learning for Molecular Docking
Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
Fundamental Limits of Secretive Coded Caching
A new unified stabilized mixed finite element method of the Stokes-Darcy coupled problem: Isotropic discretization
Usable Privacy in Virtual Worlds: Design Implications for Data Collection Awareness and Control Interfaces in Virtual Reality
Specification and Verification of Context-dependent Services
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training
Capturing Individuals' Uncertainties-On Establishing the Validity of an Interval-Valued Survey Response Mode
A comparison of self-supervised speech representations as input features for unsupervised acoustic word embeddings
Generalized convergence of the deep BSDE method: a step towards fully-coupled FBSDEs and applications in stochastic control
Optimizing data-flow in Binary Neural Networks
Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
Bearing Rigidity Theory and its Applications for Control and Estimation of Network Systems: Life Beyond Distance Rigidity
Compact Recurrent Transformer with Persistent Memory
Who can help me? Reconstructing users' psychological journeys in depression-related social media interactions
Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles
Learning to control from expert demonstrations
MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick Puzzles
Concept of Delivery System in the Smart City Environment
Synthia: Novel Concept Design with Affordance Composition
Angular Dispersion Accelerates k -Nearest Neighbors Machine Translation
Review of Deep Learning-based Malware Detection for Android and Windows System