yusuke1997/dblp-id-title huggingface dataset:
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data
Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
Feeder Load Balancing using Neural Network
Attention-guided Unified Network for Panoptic Segmentation
On the Performance of Network Parallel Training in Artificial Neural Networks
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution
A Game-Theoretic Taxonomy of Visual Concepts in DNNs
Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data
Electronic Laboratory Notebook: A lazy approach
Using a single actor to output personalized policy for different intersections
Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
Semantic Representation and Dependency Learning for Multi-Label Image Recognition
Where is Randomness Needed to Break the Square-Root Bottleneck?
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Capacity of the treelike sign perceptrons neural networks with one hidden layer - RDT based upper bounds
M-best solutions for a class of fuzzy constraint satisfaction problems
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data
Switched Max-Plus Linear-Dual Inequalities: Application in Scheduling of Multi-Product Processing Networks
Pareto optimal coalitions of fixed size
Periodicity in Movement Patterns Shapes Epidemic Risk in Urban Environments
Algorithms for Maximum Agreement Forest of Multiple General Trees
Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data
A Progressive Evaluation Framework for Multicultural Analysis of Story Visualization
Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions
Overclocking Electrostatic Generative Models
Pre-trained Visual Representations Generalize Where it Matters in Model-Based Reinforcement Learning
NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation
Well-quasi-orders on embedded planar graphs
Robust-Wide: Robust Watermarking against Instruction-driven Image Editing
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning
Development of POS tagger for English-Bengali Code-Mixed data
Parcellation of Visual Cortex on high-resolution histological Brain Sections using Convolutional Neural Networks
Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration
Towards a Trusted Execution Environment via Reconfigurable FPGA
Finite Time Performance Analysis of MIMO Systems Identification
Disaster Feature Classification on Aerial Photography to Explain Typhoon Damaged Region using Grad-CAM
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Mems Q-Factor Enhancement Using Parametric Amplification: Theoretical Study and Design of a Parametric Device
Adversarial Attacks on Cooperative Multi-agent Bandits
Deep Kalman Filter: A Refinement Module for the Rollout Trajectory Prediction Methods
Deformation-aware Temporal Generation for Early Prediction of Alzheimers Disease
Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
De-rendering the World's Revolutionary Artefacts
VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples
GUMBridge: a Corpus for Varieties of Bridging Anaphora
A hybrid finite element method for moving-habitat models in two spatial dimensions
Benchmark for Antibody Binding Affinity Maturation and Design
Fast algorithms for complex-valued discrete Fourier transform with separate real and imaginary inputs/outputs
VizDefender: Unmasking Visualization Tampering through Proactive Localization and Intent Inference
Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization
On the Connection Between Gramian-based and Interpolation-based Model Order Reduction
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
Reasoning About Information Flow Security of Separation Kernels with Channel-based Communication
Machine Collaboration
Optimal Policies Search for Sensor Management
GraphSense: Graph Embedding Based Code Suggestion Framework
A priori and a posteriori error estimates of a DG-CG method for the wave equation in second order formulation
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge
EriBERTa: A Bilingual Pre-Trained Language Model for Clinical Natural Language Processing
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study
Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition
Face Photo Sketch Synthesis via Larger Patch and Multiresolution Spline
Multi-Bit Read and Write Methodologies for Diode-STTRAM Crossbar Array
The Achievable Distortion Region of Bivariate Gaussian Source on Gaussian Broadcast Channel
Signal Processing on Cell Complexes
Trust Modeling in Counseling Conversations: A Benchmark Study
Semi-Supervised Classification and Segmentation on High Resolution Aerial Images
Leveraging High-Level Synthesis and Large Language Models to Generate, Simulate, and Deploy a Uniform Random Number Generator Hardware Design
Duality Temporal-channel-frequency Attention Enhanced Speaker Representation Learning
Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society
Real-time Collaborative Multi-Level Modeling by Conflict-Free Replicated Data Types
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
A Representation Modeling Based Language GAN with Completely Random Initialization
Multilingual NER Transfer for Low-resource Languages
DAEDALUS: Defense Against Firmware ROP Exploits Using Stochastic Software Diversity
Groups defined by automata
Global Models for Time Series Forecasting: A Simulation Study
The Impact of Pseudo-Science in Financial Loans Risk Prediction
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
Can ChatGPT Learn My Life From a Week of First-Person Video?
Integrating Terrestrial and Non-terrestrial Networks: 3D Opportunities and Challenges
When Can Liquid Democracy Unveil the Truth?
A Distributed Algorithm for Training Augmented Complex Adaptive IIR Filters
Cross-Modality Fusion Transformer for Multispectral Object Detection
Decentralised Update Selection with Semi-Strategic Experts
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging
Employing Socially Assistive Robots in Elderly Care (longer version)
Congestion Reduction Using Ad hoc Message Dissemination in Vehicular Networks
An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
Stability (over time) of Modified-CS and LS-CS for Recursive Causal Sparse Reconstruction
Non-Uniform Blind Deblurring with a Spatially-Adaptive Sparse Prior
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing
TraceMesh: Scalable and Streaming Sampling for Distributed Traces
Pixel Normalization from Numeric Data as Input to Neural Networks
Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving
Tight exponential evaluation for information theoretical secrecy based on L1 distance
Exploration Behavior of Untrained Policies
A directive based hybrid Met Office NERC Cloud model
On Folding and Twisting (and whatknot): towards a topological view of syntax
FIRED: Frequent Inertial Resets with Diversification for Emerging Commodity Cyber-Physical Systems
Short range networks of wearables for safer mobility in smart cities
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed
HashMem: PIM-based Hashmap Accelerator
Multi-Decoder DPRNN: High Accuracy Source Counting and Separation
Aspect and Opinion Term Extraction Using Graph Attention Network
A Method of Finding a Lower Energy Solution to a QUBO/Ising Objective Function
Cooperation with Disagreement Correction in the Presence of Communication Failures
Bio-inspired Neural Network-based Optimal Path Planning for UUVs under the Effect of Ocean Currents
A Descriptive and Normative Theory of Human Beliefs in RLHF
Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials
On the Graceful Game
Quantum spherical codes
A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised
A Reynolds-semi-robust H(div)-conforming method for unsteady incompressible non-Newtonian flows
Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information
Life of PII - A PII Obfuscation Transformer
Asynchronous Signal Passing for Tile Self-Assembly: Fuel Efficient Computation and Efficient Assembly of Shapes
Likelihood-Free Variational Autoencoders
The Concurrent Language Aldwych
WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Metaprogramming Applied to Numerical Problems
A Note on Local Mode-in-State Participation Factors for Nonlinear Systems
A Crossing Lemma for Jordan Curves
nabqr: Python package for improving probabilistic forecasts
Towards Aligned Data Removal via Twin Machine Unlearning
Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development
RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models
Gradient conjugate priors and deep neural networks
A Reallocation Algorithm for Online Split Packing of Circles
Matrix recovery from matrix-vector products
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? A Metric for Unsupervised Evaluation of Domain Adaptation
Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition
Towards a Cognitive Handoff for the Future Internet: Model-driven Methodology and Taxonomy of Scenarios
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations
Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition
Throughput Bound of XOR Coded Wireless Multicasting to Three Clients
Uniform Interpolation
From Signed Networks to Group Graphs
Büchi VASS recognise w-languages that are Sigma^1_1 - complete
Inf-sup stable discretization of the quasi-static Biot's equations in poroelasticity
Chain-of-Focus: Adaptive Visual Search and Zooming for Multimodal Reasoning via RL
Speed up the inference of diffusion models via shortcut MCMC sampling
ChatGPT as your Personal Data Scientist
The applicability of transperceptual and deep learning approaches to the study and mimicry of complex cartilaginous tissues
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
Not-Quite Transcendental Functions and their Applications
A Game-Theoretic Model for Analysis and Design of Self-Organization Mechanisms in IoT
Controllable Text Generation with Language Constraints
Sampling via Gradient Flows in the Space of Probability Measures
Applications of Lindeberg Principle in Communications and Statistical Learning
Causality - Complexity - Consistency: Can Space-Time Be Based on Logic and Computation?
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction
Communication-Computation Pipeline Parallel Split Learning over Wireless Edge Networks
A fast low-rank inversion algorithm of dielectric matrix in GW approximation
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology
Finding Inductive Loop Invariants using Large Language Models
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation
Local Minimizers of the Crouzeix Ratio: A Nonsmooth Optimization Case Study
Conditional DETR V2: Efficient Detection Transformer with Box Queries
Evolution of Fairness in the Not Quite Ultimatum Game
Synthesis of Shared Control Protocols with Provable Safety and Performance Guarantees
Learning "Partner-Aware" Collaborators in Multi-Party Collaboration
Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems
Controlling Information Capacity of Binary Neural Network
Whole-Body Control With Terrain Estimation of A 6-DoF Wheeled Bipedal Robot
Investigating the Impact of Dark Patterns on LLM-Based Web Agents
Surface Defect Detection with Gabor Filter Using Reconstruction-Based Blurring U-Net-ViT
Online Supervised Hashing for Ever-Growing Datasets
Automatic partitioning for the low-rank integration of stochastic Boolean reaction networks
Investigating the Impact of 9/11 on The Simpsons through Natural Language Processing
Fast and accurate approximations to fractional powers of operators
Efficient methods to determine the reversibility of general 1D linear cellular automata in polynomial complexity
A Location-based and Hierarchical Framework for Fast Consensus in Blockchain Networks
Record 202.3 Tb/s Transmission over Field-Deployed Fibre using 15.6 THz S+C+L-Bands
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability
Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges
An Anti-disguise Authentication System Using the First Impression of Avatar in Metaverse
Recommending Influenceable Targets based on Influence Propagation through Activity Behaviors in Online Social Media
Projection based model reduction for the immersed boundary method
Inferring Fluid Dynamics via Inverse Rendering
MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
Multidimensional Economic Complexity: How the Geography of Trade, Technology, and Research Explain Inclusive Green Growth
Exponentially fast convergence to (strict) equilibrium via hedging
A Survey on Machine Learning Applied to Dynamic Physical Systems
Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies
Learning-based Framework for US Signals Super-resolution
A two-stage method for reconstruction of parameters in diffusion equations
All-neural online source separation, counting, and diarization for meeting analysis
EAST Real-Time VOD System Based on MDSplus
Survey and Taxonomy of Self-Aware and Self-Adaptive Autoscaling Systems in the Cloud
Inpaint4Drag: Repurposing Inpainting Models for Drag-Based Image Editing via Bidirectional Warping
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
Classification Representations Can be Reused for Downstream Generations
Some properties of finite meadows
Salient Object Detection via Bounding-box Supervision
Are UX evaluation methods truly accessible
Capacity of Strong and Very Strong Gaussian Interference Relay-without-delay Channels
A Sharp Bound on the s-Energy
Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
Approximation of the invariant distribution for a class of ergodic SDEs with one-sided Lipschitz continuous drift coefficient using an explicit tamed Euler scheme
LanDA: Language-Guided Multi-Source Domain Adaptation
On the Robustness of Post-hoc GNN Explainers to Label Noise
Communication Efficient Decentralized Training with Multiple Local Updates
An equilibrated flux a posteriori error estimator for defeaturing problems
Visual Explanations for Convolutional Neural Networks via Input Resampling
Community membership consistency in corporate board interlock networks
AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
Beyond Isolated Dots: Benchmarking Structured Table Construction as Deep Knowledge Extraction
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation
On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model
Fast-Slow-Thinking: Complex Task Solving with Large Language Models
The community structure of collaboration networks in computer science and its impact on scientific production and consumption
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings
Quantifying the Risks of Tool-assisted Rephrasing to Linguistic Diversity
SeekNet: Improved Human Instance Segmentation via Reinforcement Learning Based Optimized Robot Relocation
A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals
Query-Free Adversarial Transfer via Undertrained Surrogates
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
Multiple Lattice Rules for Multivariate L ∞ Approximation in the Worst-Case Setting
Anomaly Detection for Water Treatment System based on Neural Network with Automatic Architecture Optimization
Ensuring superior learning outcomes and data security for authorized learner
Distributed Estimation Recovery under Sensor Failure
GBR: Generative Bundle Refinement for High-fidelity Gaussian Splatting and Meshing
Learning without Forgetting for 3D Point Cloud Objects
Quality-Aware Image-Text Alignment for Real-World Image Quality Assessment
Spatiotemporal Learning with Context-aware Video Tubelets for Ultrasound Video Analysis
Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models
How do you go where? Improving next location prediction by learning travel mode information using transformers
Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization
Design and Simulation of a Micro-coiled Digitally-Controlled Variable Inductor with a Monolithically Integrated MEMS Switch
A Cauchy-type Hamilton-Jacobi Successive Approximation Scheme For Reachable Sets Computation
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Predicting short-term Bitcoin price fluctuations from buy and sell orders
Predictive Uncertainty through Quantization
On Secure Workflow Decentralisation on the Internet
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Phocas: dimensional Byzantine-resilient stochastic gradient descent
An all-frequency stable surface integral equation algorithm for electromagnetism in 3-D unbounded penetrable media: Continuous and fully-discrete model analysis
FedExP: Speeding up Federated Averaging Via Extrapolation
TraceTrans: Translation and Spatial Tracing for Surgical Prediction
Verification of Data-Aware Processes via Array-Based Systems (Extended Version)
From coinductive proofs to exact real arithmetic: theory and applications
Computer certified efficient exact reals in Coq
Benefit of Self-Stabilizing Protocols in Eventually Consistent Key-Value Stores: A Case Study
Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement Learning
Polarization-Dependent Loss Mitigation with Orthogonal-Design-Based Precoding and Interference Cancellation
Neural Networks are Integrable
Combinatorial Multi-Access Coded Caching with Private Caches under Intersecting Index Constraints
Leader Election in the Internet of Things: Challenges and Opportunities
Solving Trust Region Subproblems Using Riemannian Optimization
SMIE: Weakness is Power!: Auto-indentation with incomplete information
AI Founding Fathers: A Case Study of GIS Search in Multi-Agent Pipelines
Grasp that optimises objectives along post-grasp trajectories
ContHutch++: Stochastic trace estimation for implicit integral operators
Optimizing Alignment with Less: Leveraging Data Augmentation for Personalized Evaluation
Towards M-Adhesive Categories of Corecursive Graphs
Towards Countering Essentialism through Social Bias Reasoning
Towards an open standard for assessing the severity of robot security vulnerabilities, the Robot Vulnerability Scoring System (RVSS)
Cell-free mMIMO Support in the O-RAN Architecture: A PHY Layer Perspective for 5G and Beyond Networks
Synchronous Multistep Predictive Spectral Control of the Switching Distortion in DC-DC Converters
EVOLVE: Emotion and Visual Output Learning via LLM Evaluation
Optimizing Readability Using Genetic Algorithms
Proximal Policy Optimization Learning based Control of Congested Freeway Traffic
lim+, delta+, and Non-Permutability of beta-Steps
Secrecy capacities of compound quantum wiretap channels and applications
T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements
Towards Unraveling and Improving Generalization in World Models
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists
Tverberg's theorem and multi-class support vector machines
Abductive Matching in Question Answering
All Eyes, no IMU: Learning Flight Attitude from Vision Alone
Offloading over Time-Varying Channels in Wireless Powered Networks
Cyber-Attack Event Analysis for EV Charging Stations
Rapid Learning with Stochastic Focus of Attention
Error-and-Erasure Decoding for Block Codes with Feedback
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control
Development of pericardial fat count images using a combination of three different deep-learning models
Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality
Synchronization of Kuramoto oscillators in a bidirectional frequency-dependent tree network
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering
VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
Forgery Detection in a Questioned Hyperspectral Document Image using K-means Clustering
Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment
Relative Stability Analysis of Closed-Loop SISO Dead-Time Systems: non-imaginary axis case
Biclique coverings, rectifier networks and the cost of $\varepsilon$-removal
Audio-Driven Universal Gaussian Head Avatars
Polariton lattices as binarized neuromorphic networks
Predecessor search with distance-sensitive query time
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
Circuit Lower Bounds for the p-Spin Optimization Problem
More for Less: Safe Policy Improvement With Stronger Performance Guarantees
An Earthworm-Inspired Multi-Mode Underwater Locomotion Robot: Design, Modeling, and Experiments
Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline
Stiffness optimisation of graded microstructal configurations using asymptotic analysis and machine learning
A design oriented study for 3R Orthogonal Manipulators With Geometric Simplifications
Vision Transformer Based Video Hashing Retrieval for Tracing the Source of Fake Videos
A Fully Tensorized Recurrent Neural Network