yusuke1997/dblp-id-title huggingface dataset:
3A-YOLO: New Real-Time Object Detectors with Triple Discriminative Awareness and Coordinated Representations
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing
Auxiliary Tasks and Exploration Enable ObjectNav
Structure-preserving schemes for drift-diffusion systems on general meshes: DDFV vs HFV
Multilayer Artificial Benchmark for Community Detection (mABCD)
Robustness to Augmentations as a Generalization metric
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy
Determinating Timing Channels in Statistically Multiplexed Clouds
OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees
Reassessing Code Authorship Attribution in the Era of Language Models
CIIA: A New Algorithm for Community Detection
One-shot Learning for Autonomous Aerial Manipulation
Recursive Regret Matching: A General Method for Solving Time-invariant Nonlinear Zero-sum Differential Games
Computational Protein Science in the Era of Large Language Models (LLMs)
Extended H2 Filtering for Attitude Estimation in Low Power Microprocessors
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning
Sentiment Classification using Images and Label Embeddings
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
3D Facial Expression Reconstruction using Cascaded Regression
Session-based k-NNs with Semantic Suggestions for Next-item Prediction
A Synchronized Stereo and Plenoptic Visual Odometry Dataset
Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels with Compressing Relays
Towards Reliable and Scalable Linux Kernel CVE Attribution in Automated Static Firmware Analyses
Implicit automata in typed λ-calculi II: streaming transducers vs categorical semantics
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Sparsifying Sums of Positive Semidefinite Matrices
An Efficient Fault Tolerant Workflow Scheduling Approach using Replication Heuristics and Checkpointing in the Cloud
Recognition of Dynamic Hand Gestures in Long Distance using a Web-Camera for Robot Guidance
SecureNT: A Practical Framework for Efficient Topology Protection and Monitoring
Algorithms for solving optimization problems arising from deep neural net models: smooth problems
Adversarial Parameter Defense by Multi-Step Risk Minimization
Sensor Management System (SMS): Open-source software for FAIR sensor metadata management in Earth system sciences
Exploring the Limits of Indiscriminate Data Poisoning Attacks
Parameterized Explanations for Investor / Company Matching
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners
A Survey of Secure Semantic Communications
Effect of target signals and delays on spatially selective active noise control for open-fitting hearables
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework
Evolution of Cooperation on Spatially Embedded Networks
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives
On Galois-Division Multiple Access Systems: Figures of Merit and Performance Evaluation
Utility-Aware Optimal Resource Allocation Protocol for UAV-Assisted Small Cells with Heterogeneous Coverage Demands
Design, Mechanical Simulation and Implementation of a New Six- Legged Robot
Optimization, guidance, and control of low-thrust transfers from the Lunar Gateway to low lunar orbit
Modelling of temporal fluctuation scaling in online news network with independent cascade model
Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
Enhancing Sampling-based Planning with a Library of Paths
Representing and computing the B-derivative of an $EC^r$ vector field's $PC^r$ flow
A Neural Network Anomaly Detector Using the Random Cluster Model
Increasing risk behavior can outweigh the benefits of anti-retroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam
Non causal deep learning based dereverberation
Parametricity, automorphisms of the universe, and excluded middle
Hamiltonian Matching for Symplectic Neural Integrators
OWL: Geometry-Aware Spatial Reasoning for Audio Large Language Models
An Impact Model of AI on the Principles of Justice: Encompassing the Autonomous Levels of AI Legal Reasoning
Stiffness-based Analytic Centre Method for Cable-Driven Parallel Robots
Group Diffusion Transformers are Unsupervised Multitask Learners
Evaluation of Huffman and Arithmetic Algorithms for Multimedia Compression Standards
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition
Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex
Why do people think liberals drink lattes? How social media afforded self-presentation can shape subjective social sorting
Software Toolkit for Building Embedded and Distributed Knowledge-based Systems
Computing the Cut Locus of a Riemannian Manifold via Optimal Transport
Computational Intelligence for Deepwater Reservoir Depositional Environments Interpretation
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization
Diagonal Peg Solitaire
On the Confidence Intervals in Bioequivalence Studies
Imperfect-Information Games on Quantum Computers: A Case Study in Skat
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
GCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering Network
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications
Functional Continuous Uncertainty Principle
The Normalization of Co-authorship Networks in the Bibliometric Evaluation: The Government Stimulation Programs of China and Korea
Deep Reinforced Query Reformulation for Information Retrieval
How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
Workflow for High-Fidelity Dynamic Analysis of Structures with Pile Foundation
Training Dynamics Impact Post-Training Quantization Robustness
CARMA: Collective Adaptive Resource-sharing Markovian Agents
Relaxed exception semantics for Arm-A (extended version)
Physics-Aware Robotic Palletization with Online Masking Inference
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks
On The Performance of Prefix-Sum Parallel Kalman Filters and Smoothers on GPUs
Closed-form Approximation for Performance Bound of Finite Blocklength Massive MIMO Transmission
The Algebraic View of Computation
Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder
Multi Sentence Description of Complex Manipulation Action Videos
Allocation of Licensed and Unlicensed Spectrum in Heterogeneous Networks
Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos
On a (β,q)-generalized Fisher information and inequalities involving q-Gaussian distributions
Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs
Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Quantum f-divergences and Their Local Behaviour: An Analysis via Relative Expansion Coefficients
A Theoretical Computer Science Perspective on Free Will
Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking
marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization
Regret-optimal Estimation and Control
GenoML: Automated Machine Learning for Genomics
Styleverse: Towards Identity Stylization across Heterogeneous Domains
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning
Bayesian Tensor Network and Optimization Algorithm for Probabilistic Machine Learning
Legal Concerns and Challenges in Cloud Computing
StudyMe: A New Mobile App for User-Centric N-of-1 Trials
Establishing process-structure linkages using Generative Adversarial Networks
Dynamic Code Coverage with Progressive Detail Levels
Generating Empathetic Responses with a Large Scale Dialog Dataset
TwinAligner: Visual-Dynamic Alignment Empowers Physics-aware Real2Sim2Real for Robotic Manipulation
A survey of top-down approaches for human pose estimation
Risk Bounds for Mixture Density Estimation on Compact Domains via the h -Lifted Kullback-Leibler Divergence
3D Printed Waveguide for Augmented Reality
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Collaborative Multi-sensor Classification via Sparsity-based Representation
Dynamic Separation Logic
The Passive Eavesdropper Affects my Channel: Secret-Key Rates under Real-World Conditions (Extended Version)
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
All models are local: time to replace external validation with recurrent local validation
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency
Resource Sharing Through Multi-Round Matchings
Classification of Anuran Frog Species Using Machine Learning
Feedback game on Eulerian graphs
Backward error analysis for variational discretisations of partial differential equations
SpeechAct: Towards Generating Whole-body Motion from Speech
DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation
Breaking the Data Barrier - Building GUI Agents Through Task Generalization
Sybil-Proof Mechanism for Information Propagation with Budgets
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study
Learning Regional Monsoon Patterns with a Multimodal Attention U-Net
Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining
Explicit lower bounds on strong simulation of quantum circuits in terms of $T$-gate count
Understanding Latent Factors Using a GWAP
Artificial Intelligence in the Low-Level Realm - A Survey
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution
Tomographic SAR Reconstruction for Forest Height Estimation
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
Solution Concepts in Hierarchical Games with Applications to Autonomous Driving
Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds
Prediction error-driven memory consolidation for continual learning. On the case of adaptive greenhouse models
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
Asymmetric Error Correction and Flash-Memory Rewriting using Polar Codes
SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Improving Automated Algorithm Selection by Advancing Fitness Landscape Analysis
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning
SO(3)-Equivariant Neural Networks for Learning Vector Fields on Spheres
Improving robustness of jet tagging algorithms with adversarial training
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method
Using Random Effects Machine Learning Algorithms to Identify Vulnerability to Depression
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Three-Way Channels with Multiple Unicast Sessions: Capacity Approximation via Network Transformation
A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions
Review of Automaton Learning Algorithms with Polynomial Complexity - Completely Solved Examples
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation
Quantum correlations and entanglement in a Kitaev-type spin chain
Sound Randomized Smoothing in Floating-Point Arithmetics
Probabilities of Causation: Adequate Size of Experimental and Observational Samples
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models
Genetic Algorithm in Audio Steganography
Distributionally Robust Safe Sample Screening
Permute, Graph, Map, Derange
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Design and Testing of a Low-Cost 3D-Printed Servo Gimbal for Thrust Vector Control in Model Rockets
A Novel Topology Recovery Method for Low Voltage Distribution Networks
Synthesis to Deployment: Cyber-Physical Control Architectures
Fragile by Design: On the Limits of Adversarial Defenses in Personalized Generation
Domain-Specific Machine Translation to Translate Medicine Brochures in English to Sorani Kurdish
Compressing Language Models for Specialized Domains
Computing a partition function of a generalized pattern-based energy over a semiring
How resilient is the Open Web to the COVID-19 pandemic?
Speed of Social Learning from Reviews in Non-Stationary Environments
A Triple-Error-Correcting Cyclic Code from the Gold and Kasami-Welch APN Power Functions
Spectra of Perfect State Transfer Hamiltonians on Fractal-Like Graphs
Impact of perfusion ROI detection to the quality of CBV perfusion map
Using Machine Learning to Predict Engineering Technology Students' Success with Computer Aided Design
The Strong 3SUM-INDEXING Conjecture is False
Designing Air Flow with Surrogate-assisted Phenotypic Niching
The Complexity of Testing Properties of Simple Games
Giving life to robotic skins
Deterministic graph connectivity in the broadcast congested clique
Some variations on Lyndon words
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems
Deep learning framework for crater detection and identification on the Moon and Mars
Lessons Learned Developing and Extending a Visual Analytics Solution for Investigative Analysis of Scamming Activities
Applications of potential theoretic mother bodies in Electrostatics
Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement
A practical introduction to the Rational Speech Act modeling framework
Multimodal intelligibility of scholarly hypertext: the documentalist's contribution. A required collaboration for serial documentisation in the scientific editorial process
Diagnosing our datasets: How does my language model learn clinical information?
Reinforcement Learning Based Minimum State-flipped Control for the Reachability of Boolean Control Networks
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
Neurocontrol methods review
DyRA: Dynamic Resolution Adjustment for Scale-robust Object Detection
History-Augmented Contrastive Learning With Soft Mixture of Experts for Blind Super-Resolution of Planetary Remote Sensing Images
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Random walk based in-network computation of arbitrary functions
Smooth Anonymity for Sparse Binary Matrices
On a deterministic particle-FEM discretization to micro-macro models of dilute polymeric fluids
GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval
Multi-relation Message Passing for Multi-label Text Classification
Image based Eye Gaze Tracking and its Applications
Satellite: Detecting and Analyzing Smart Contract Vulnerabilities caused by Subcontract Misuse
High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration
Vision-based Target Pose Estimation with Multiple Markers for the Perching of UAVs
Privacy-Preserving IoT in Connected Aircraft Cabin
Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data
Language-Guided World Models: A Model-Based Approach to AI Control
Lattice Packings of Cross-polytopes Constructed from Sidon Sets
Benchmarking Large Language Models for Math Reasoning Tasks
Improved Model and Analysis for RIS-Assisted Indoor Terahertz Wireless Networks
All in One: An Empirical Study of GPT for Few-Shot Aspect-Based Sentiment Anlaysis
U-Clip: On-Average Unbiased Stochastic Gradient Clipping
Calibrating Wayfinding Decisions in Pedestrian Simulation Models: The Entropy Map
An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model
Modular versus Hierarchical: A Structural Signature of Topic Popularity in Mathematical Research
FastSmoothSAM: A Fast Smooth Method For Segment Anything Model
Enabling Atomic Durability for Persistent Memory with Transiently Persistent CPU Cache
On Simulation of Power Systems and Microgrid Components with SystemC-AMS
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores
Vehicle-to-Everything (V2X) Communication: A Roadside Unit for Adaptive Intersection Control of Autonomous Electric Vehicles
Untargeted Near-collision Attacks in Biometric Recognition
Efficient Parallelization Layouts for Large-Scale Distributed Model Training
Composing Automatic Differentiation with Custom Derivatives of Higher-Order Functions
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
Secure M-PSK Communication via Directional Modulation
Cannikin's Law in Tensor Modeling: A Rank Study for Entanglement and Separability in Tensor Complexity and Model Capacity
Higher Order Multidimensional Slope Limiters with Local Maximum Principles
DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach
Rapid-Rate: A Framework for Semi-supervised Real-time Sentiment Trend Detection in Unstructured Big Data
SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots
System Description of CITlab's Recognition & Retrieval Engine for ICDAR2017 Competition on Information Extraction in Historical Handwritten Records
Learn to Preserve Personality: Federated Foundation Models in Recommendations
A Formally Verified HOL Algebra for Dynamic Reliability Block Diagrams
A Signal Processor for Gaussian Message Passing
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Psychophysics of musical elements in the discrete-time representation of sound
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility
Molecule Generation for Drug Design: a Graph Learning Perspective
AI Model Passport: Data and System Traceability Framework for Transparent AI in Health
Fast Moving Sampling Designs in Temporal Networks
Crime Linkage Detection by Spatio-Temporal-Textual Point Processes
Progressive Operational Perceptron with Memory
An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
Classification of 3 mod 5 arcs in PG(3, 5)
Using Self-Supervised Feature Extractors with Attention for Automatic COVID-19 Detection from Speech
Self-Supervised Borrowing Detection on Multilingual Wordlists
Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP
The worm algorithm for the Ising model is rapidly mixing
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web
Privacy, Secrecy, and Storage with Noisy Identifiers
Making Predictive Coding Networks Generative
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
A Two-sided Model for EV Market Dynamics and Policy Implications
Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding
Virtual Element Method for the Navier-Stokes Equation coupled with the Heat Equation
Success probability of the L 0 -regularized box-constrained Babai point and column permutation strategies
Revisiting the Softmax Bellman Operator: Theoretical Properties and Practical Benefits
AILA-First Experiments with Localist Language Models
NASA: Neural Articulated Shape Approximation
Meta Pruning via Graph Metanetworks : A Meta Learning Framework for Network Pruning
Role of Bloom Filter in Big Data Research: A Survey
Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey
Disentangling Instruction Influence in Diffusion Transformers for Parallel Multi-Instruction-Guided Image Editing
NIM: Neuro-symbolic Ideographic Metalanguage for Inclusive Communication
Human brain and classical computer can generate true random numbers through algorithmic process
Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers
A theoretical framework for reservoir computing on networks of organic electrochemical transistors
WEARS: Wearable Emotion AI with Real-time Sensor data
On the Application of Model Predictive Control to a Weighted Coverage Path Planning Problem
SurgRAW: Multi-Agent Workflow with Chain-of-Thought Reasoning for Surgical Intelligence
Nonbinary Error-Detecting Hybrid Codes
Person Re-identification with Hyperspectral Multi-Camera Systems - A Pilot Study
Deterministic K-Identification For Binary Symmetric Channel
Fast Verification of Control Barrier Functions via Linear Programming
A History of Philosophy in Colombia through Topic Modelling
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
An Improved and Parallel Version of a Scalable Algorithm for Analyzing Time Series Data
Learning from narrated instruction videos
Swiss German Speech to Text system evaluation
GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking
The Constrained Virtual Steiner Arborescence Problem: Formal Definition, Single-Commodity Integer Programming Formulation and Computational Evaluation
The Complexity of Reachability in Parametric Markov Decision Processes
CGAL Made More Accessible
Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance Optimization
Cooperative Aerial Coverage Path Planning for Visual Inspection of Complex Infrastructures
Modelling the Dynamics of an Aedes albopictus Population
Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
Stochastic Geometry Modeling of Cellular V2X Communication on Shared Uplink Channels
Matched bipartite block model with covariates
BER Performance of Polar Coded OFDM in Multipath Fading
Learning from Interaction: User Interface Adaptation using Reinforcement Learning
A hybrid spatial data mining approach based on fuzzy topological relations and MOSES evolutionary algorithm
FastLEC: Parallel Datapath Equivalence Checking with Hybrid Engines
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components