yusuke1997/dblp-id-title huggingface dataset:
AppealMod: Shifting Effort from Moderators to Users Making Appeals
Masked Pre-trained Model Enables Universal Zero-shot Denoiser
Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models
The Feedback Capacity of Noisy Output is the STate (NOST) Channels
Stochastic matrix games with bandit feedback
A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19
Lest We Forget: A Dataset of Coronavirus-Related News Headlines in Swiss Media
Bears: An Extensible Java Bug Benchmark for Automatic Program Repair Studies
Protein Secondary Structure Prediction with Long Short Term Memory Networks
Towards a graphical language for quadrotor missions
Temporal Knowledge Propagation for Image-to-Video Person Re-identification
A Cross-Lingual Analysis of Bias in Large Language Models Using Romanian History
Scalable Prediction of Information Cascades over Arbitrary Time Horizons
Data Science: A Systematic Treatment
DTPPO: Dual-Transformer Encoder-based Proximal Policy Optimization for Multi-UAV Navigation in Unseen Complex Environments
When Distributed outperforms Centralized Scheduling in D2D-Enabled Cellular Networks
Process Monitoring Using Maximum Sequence Divergence
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers
Statistical validation of high-dimensional models of growing networks
Robust optimal well control using an adaptive multi-grid reinforcement learning framework
Secure Energy Efficiency Optimization for MISO Cognitive Radio Network with Energy Harvesting
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective
TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation
Selective Combining for Hybrid Cooperative Networks
Confidentiality without Encryption For Cloud Computational Privacy
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
The latent variable proximal point algorithm for variational problems with inequality constraints
Tag Clouds for Object-Oriented Source Code Visualization
Control of a Uniformly Magnetized Plasma with External Electric Fields
Abstraction Refinement for Trace Inclusion of Data Automata
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) - an end-to-end model for characterizing severity and diagnosis
A Sums-of-Squares Extension of Policy Iterations
Search Process and Probabilistic Bifix Approach
Billion-atom Synchronous Parallel Kinetic Monte Carlo Simulations of Critical 3D Ising Systems
Learning conditional distributions on continuous spaces
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields
Valori: A Deterministic Memory Substrate for AI Systems
Tasks that Require, or can Benefit from, Matching Blank Nodes
Backdoor Attack against NLP models with Robustness-Aware Perturbation defense
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D
Deep Transfer Learning Applications in Intrusion Detection Systems: A Comprehensive Review
CubifAE-3D: Monocular Camera Space Cubification on Autonomous Vehicles for Auto-Encoder based 3D Object Detection
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
Complex networks with arbitrary edge multiplicities
Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Using Synthetic Data for Conversational Response Generation in Low-resource Settings
You Can't Always Check What You Wanted: Selective Checking and Trusted Execution to Prevent False Actuations in Cyber-Physical Systems
AGENT-CQ: Automatic Generation and Evaluation of Clarifying Questions for Conversational Search with LLMs
Rendezvous and Merging for Two Metamorphic Robotic Systems without Global Compass
Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance
Maximum Entropy Dueling Network Architecture
Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs
Aggregate and conquer: detecting and steering LLM concepts by combining nonlinear predictors over multiple layers
Topological Regularization via Persistence-Sensitive Optimization
Did the Train Reach its Destination: The Complexity of Finding a Witness
Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models
On Compression of Cryptographic Keys
Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities
A Formal Approach for Agent Based Large Concurrent Intelligent Systems
Towards Machine Learning-based Fish Stock Assessment
CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions
Regional inflation analysis using social network data
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
Generalized Zero-Shot Learning Via Over-Complete Distribution
MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning
Graph Neural Networks for User Identity Linkage
Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets
Intrinsic motivations and open-ended learning
Natural Language and Spatial Rules
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
Source Detection via Contact Tracing in the Presence of Asymptomatic Patients
H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving
Methodology for Capacity Credit Evaluation of Physical and Virtual Energy Storage in Decarbonized Power System
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
An Adaptive MMC Synchronous Stability Control Method Based on Local PMU measurements
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
Improved Real-time Image Smoothing with Weak Structures Preserved and High-contrast Details Removed
On generic erasure correcting sets and related problems
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
Relaxation Schemes for Flows in Networks: Application to Shallow Water and Blood Flow Equations
Lagrangian schemes for Wasserstein gradient flows
Solving Hidden Monotone Variational Inequalities with Surrogate Losses
A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals
Models, networks and algorithmic complexity
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning
Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants
A universal solution scheme for fractional and classical PDEs
Generalized Simple Regenerating Codes: Trading Sub-packetization and Fault Tolerance
SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis
Reinforcement Learning for Autonomous Warehouse Orchestration in SAP Logistics Execution: Redefining Supply Chain Agility
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stage
A Local Algorithm for the Sparse Spanning Graph Problem
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
How Good Is a Strategy in a Game With Nature?
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers
MIMO Detection under Hardware Impairments: Data Augmentation With Boosting
Study of Robust Resource Allocation in Cell-Free Multiple-Antenna Networks
A probabilistic top-down parser for minimalist grammars
EmoCaliber: Advancing Reliable Visual Emotion Comprehension via Confidence Verbalization and Calibration
Variability Fault Localization: A Benchmark
Isometric force pillow: using air pressure to quantify involuntary finger flexion in the presence of hypertonia
Cross-lingual Lifelong Learning
Factorised Representation Learning in Cardiac Image Analysis
Fast tree-based algorithms for DBSCAN on GPUs
Proceedings of the 3rd International Workshop on Overlay Architectures for FPGAs (OLAF 2017)
DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning
An implementation of flow calculus for complexity analysis (tool paper)
Image Conditioned Keyframe-Based Video Summarization Using Object Detection
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition
Register Games on Infinite Ordered Data Domains
Differentially private k-means clustering via exponential mechanism and max cover
Automatic Voice Classification Of Autistic Subjects
Decentralized Rendezvous of Nonholonomic Robots with Sensing and Connectivity Constraints
Outlaw distributions and locally decodable codes
Influence Maximization Considering Influence, Cost and Time
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Receptive Field Expanded Look-Up Tables for Vision Inference: Advancing from Low-level to High-level Tasks
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI
Time Estimation Model of Concurrent Computing Systems
Cascading Failures in AC Electricity Grids
Estimating scale-invariant future in continuous time
Computer-aided Recognition and Assessment of a Porous Bioelastomer on Ultrasound Images for Regenerative Medicine Applications
Enriching the Felsenthal index with a priori unions for decision-making processes
Exploring Human-like Attention Supervision in Visual Question Answering
Fixed-Parameter Algorithms for Computing Kemeny Scores - Theory and Practice
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Capturing Lifecycle System Degradation in Digital Twin Model Updating
Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery
Influencing Opinion Dynamics in Networks with Limited Interaction
Error analysis of a collocation method on graded meshes for nonlocal diffusion problems with weakly singular kernels
Run-time application migration using checkpoint/restore in userspace
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
LargeSHS: A large-scale dataset of music adaptation
A Timely Survey on Vision Transformer for Deepfake Detection
An approach to computing downward closures
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
Set-merging for the Matching Algorithm of Micali and Vazirani
Time-periodic steady-state solution of fluid-structure interaction and cardiac flow problems through multigrid-reduction-in-time
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning
An Arbitrarily High Order Unfitted Finite Element Method for Elliptic Interface Problems with Automatic Mesh Generation
RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups
When Retriever Meets Generator: A Joint Model for Code Comment Generation
Using Fisher Information In Big Data
Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge
Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation Names
Weighted Sum-Throughput Maximization for Energy Harvesting Powered MIMO Multi-Access Channels
On the Interpretability and Evaluation of Graph Representation Learning
2nd Place Solutions for UG2+ Challenge 2022 - D 3 Net for Mitigating Atmospheric Turbulence from Images
Order in the chaos with examples from graph theory
CNN-based InSAR Denoising and Coherence Metric
Multi-View Attention Networks for Visual Dialog
Dynamic Interaction of Transportation and Power Distribution Networks With Electric Vehicles
State of the Art of the Intra-Task Dynamic Voltage and Frequency Scaling Technique
Incremental Semiparametric Inverse Dynamics Learning
Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare
Block-Level Unitary Query: Incorporating Orthogonal-like Space-time Code with Query Diversity for MIMO Backscatter RFID
Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers
Predicting population neural activity in the Algonauts challenge using end-to-end trained Siamese networks and group convolutions
A new structure exploiting derivation of recursive direct weight optimization
Execution Welfare Across Solver-based DEXes
Re-ranking the Context for Multimodal Retrieval Augmented Generation
A Personalised User Authentication System based on EEG Signals
ROOT: VLM based System for Indoor Scene Understanding and Beyond
Evaluation of short range depth sonifications for visual-to-auditory sensory substitution
The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis
A Polylogarithimic Approximation Algorithm for Edge-Disjoint Paths with Congestion 2
Learned Scalable Video Coding For Humans and Machines
Linear-time algorithm for vertex 2-coloring without monochromatic triangles on planar graphs
Virtualized Application Function Chaining: Maximizing the Wearable System Lifetime
Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion
GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures
Distributed Parameter Estimation Under Event-triggered Communications
A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?
Anomaly Detection in XML-Structured SOAP Messages Using Tree-Based Association Rule Mining
Let's Measure Information Step-by-Step: LLM-Based Evaluation Beyond Vibes
Impact of packet dropouts on the performance of optimal controllers and observers
UPP: Unified Path Planner with Adaptive Safety and Optimality
Audit and Change Analysis of Spreadsheets
tLaSDI: Thermodynamics-informed latent space dynamics identification
Serving Database Information Using a Flexible Server in a Three Tier Architecture
Multi-student Diffusion Distillation for Better One-step Generators
Parametric Topology Optimization with Multi-Resolution Finite Element Models
SALAD - Semantics-Aware Logical Anomaly Detection
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
AGO: Adaptive Grounding for Open World 3D Occupancy Prediction
Unconditionally stable time discretization of Lindblad master equations in infinite dimension using quantum channels
UniLat3D: Geometry-Appearance Unified Latents for Single-Stage 3D Generation
NMPCM: Nonlinear Model Predictive Control on Resource-Constrained Microcontrollers
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks
Network Hexagons Under Attack: Secure Crowdsourcing of Geo-Referenced Data
STAN: Smooth Transition Autoregressive Networks
Generic Traces and Constraints, GenTra4CP revisited
A categorisation and implementation of digital pen features for behaviour characterisation
A Novel Quasigroup Substitution Scheme for Chaos Based Image Encryption
Neural Network approximation power on homogeneous and heterogeneous reaction-diffusion equations
Algorithmic solvability of the lifting-extension problem
The evolution of Lightning Network's Topology during its first year and the influence over its core values
A Robust Frame-based Nonlinear Prediction System for Automatic Speech Coding
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
Write-Optimized and Consistent RDMA-based NVM Systems
Arbitrary order of convergence for Riesz fractional derivative via central difference method
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
Large Language Models for Multi-Facility Location Mechanism Design
Pedagogic Challenges in Teaching Cyber Security - a UK Perspective
Culture, Computation, Morality
Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Risk-Neutral Market Simulation
A Robust Continuous Time Fixed Lag Smoother for Nonlinear Uncertain Systems
Efficiency and Optimality in Electrochemical Battery Model Parameter Identification: A Comparative Study of Estimation Techniques
Band Attention Convolutional Networks For Hyperspectral Image Classification
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
Trajectory Representation and Landmark Projection for Continuous-Time Structure from Motion
Robust and efficient tool path generation for poor-quality triangular mesh surface machining
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation
Towards a Supply Chain Management System for Counterfeit Mitigation using Blockchain and PUF
Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm
SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT
Graph Neural Network-Based Anomaly Detection for River Network Systems
LLM-assisted Graph-RAG Information Extraction from IFC Data
Information Structures of Extremum Problems of Feedback Capacity for General Channels with Memory
Galaxy Classification: A machine learning approach for classifying shapes using numerical data
CBHRP: A Cluster Based Routing Protocol for Wireless Sensor Network
Interstitial Content Detection
GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models
Distillation based Multi-task Learning: A Candidate Generation Model for Improving Reading Duration
Poisson Matrix Completion
Multiview Cross-supervision for Semantic Segmentation
Convergence analysis of wide shallow neural operators within the framework of Neural Tangent Kernel
Maestro-EVC: Controllable Emotional Voice Conversion Guided by References and Explicit Prosody
Code Generation for Conic Model-Predictive Control on Microcontrollers with TinyMPC
A Family of Interleaved High Step-Up DC-DC Converters by Integrating a Voltage Multiplier and an Active Clamp Circuits
DNN-Based Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement
Deep Causal Learning for Robotic Intelligence
Invariant Test-Time Adaptation for Vision-Language Model Generalization
Stochastic Dimensionality Reduction for K-means Clustering
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis
The Dynamics of Collective Creativity in Human-AI Social Networks
LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic
Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource-constrained Conditions
STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
Learning a Continue-Thinking Token for Enhanced Test-Time Scaling
InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge
SELF: Self-Extend the Context Length With Logistic Growth Function
On Using Monolingual Corpora in Neural Machine Translation
A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem
Audio Language Modeling using Perceptually-Guided Discrete Representations
Physics-based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces
Adaptive Normalization Mamba with Multi Scale Trend Decomposition and Patch MoE Encoding
A Cognitive Architecture for the Implementation of Emotions in Computing Systems
AI-Driven Contribution Evaluation and Conflict Resolution: A Framework & Design for Group Workload Investigation
Promptable cancer segmentation using minimal expert-curated data
Enabling Predictive Maintenance in District Heating Substations: A Labelled Dataset and Fault Detection Evaluation Framework based on Service Data
Practical, optimal preparation of general quantum state with exponentially improved robustness
Classification of Infant Crying in Real-World Home Environments Using Deep Learning
A survey on scheduling and mapping techniques in 3D Network-on-chip
QGTC: Accelerating Quantized GNN via GPU Tensor Core
MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension
In search of dispersed memories: Generative diffusion models are associative memory networks
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
Similarity Embedding Network for Unsupervised Sequential Pattern Learning by Playing Music Puzzle Games
MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
D-Flow: Multi-modality Flow Matching for D-peptide Design
pyAMPACT: A Score-Audio Alignment Toolkit for Performance Data Estimation and Multi-modal Processing
Human labeling errors and their impact on ConvNets for satellite image scene classification
The Community Authorization Service: Status and Future
LLM Compression: How Far Can We Go in Balancing Size and Performance?
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving
A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks
Collective Argumentation: The Case of Aggregating Support-Relations of Bipolar Argumentation Frameworks
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
Can Large Language Models Improve Phishing Defense? A Large-Scale Controlled Experiment on Warning Dialogue Explanations
Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle
About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations
Collaborative Spectrum Sensing from Sparse Observations Using Matrix Completion for Cognitive Radio Networks
Memory Bounded Deep Convolutional Networks
Sculpting [CLS] Features for Pre-Trained Model-Based Class-Incremental Learning
Coverability: Realizability Lower Bounds
Optimality of 1-norm regularization among weighted 1-norms for sparse recovery: a case study on how to find optimal regularizations
CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection
A Theory of Encodings and Expressiveness
A Soft Electronics-Free robot
Validity of relaxation models arising from numerical schemes for hyperbolic-parabolic systems
On Performance of Event-to-Sink Transport in Transmit-Only Sensor Networks