yusuke1997/dblp-id-title huggingface dataset:
Effectiveness of self-supervised pre-training for speech recognition
Learning to Optimise Wind Farms with Graph Transformers
P2ExNet: Patch-based Prototype Explanation Network
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
Process algebra with conditionals in the presence of epsilon
Convergence Analysis of Flow Matching in Latent Space with Transformers
Mind the Gap: A Formal Investigation of the Relationship Between Log and Model Complexity - Extended Version
Rich Semantic Models and Knowledgebases for Highly-Structured Scientific Communication
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Persistent Homology Transform Cosheaf
Toward a better trade-off between performance and fairness with kernel-based distribution matching
A Generalized Cluster-Free NOMA Framework Towards Next-Generation Multiple Access
Analysis of a multi-target linear shrinkage covariance estimator
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization
3D Multi-Object Tracking with Differentiable Pose Estimation
Self-labeled Conditional GANs
SonicChain: A Wait-free, Pseudo-Static Approach Toward Concurrency in Blockchains
Arhuaco: Deep Learning and Isolation Based Security for Distributed High-Throughput Computing
Adversarial Autoencoders in Operator Learning
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
First Result on Arabic Neural Machine Translation
On the optimal feedforward torque control problem of anisotropic synchronous machines: Quadrics, quartics and analytical solutions
Cyber Threats in Financial Transactions - Addressing the Dual Challenge of AI and Quantum Computing
DAAF:Degradation-Aware Adaptive Fusion Framework for Robust Infrared and Visible Images Fusion
COEM: Cross-Modal Embedding for MetaCell Identification
RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets
Event Detection with Relation-Aware Graph Convolutional Neural Networks
Coordination Failure in Cooperative Offline MARL
Algorithmic Fractal Dimensions in Geometric Measure Theory
iffDetector: Inference-aware Feature Filtering for Object Detection
MoEfication: Conditional Computation of Transformer Models for Efficient Inference
Lita: Light Agent Uncovers the Agentic Coding Capabilities of LLMs
ABC Align: Large Language Model Alignment for Safety & Accuracy
A Production-Ready Machine Learning System for Inclusive Employment: Requirements Engineering and Implementation of AI-Driven Disability Job Matching Platform
M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion
Diffusion Graph Neural Networks for Robustness in Olfaction Sensors and Datasets
GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance
Evaluation of Convolution Primitives for Embedded Neural Networks on 32-bit Microcontrollers
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation
Extension of the single-nonlinear-mode theory by linear attachments and application to exciter-structure interaction
Approximating Bounded Job Start Scheduling with Application in Royal Mail Deliveries under Uncertainty
Groebner basis in Boolean rings is not polynomial-space
Cloud Computing Future Framework for e-management of NGO's
Effects of Social Cues on Biosecurity Compliance in Livestock Facilities: Evidence from Experimental Simulations
Structured Analysis Reveals Fundamental Mathematical Relationships between Wind and Solar Generations and the United Kingdom Electricity System
Adaptive Two-sided Assortment Optimization: Revenue Maximization
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation
Differential Modulation for Bi-directional Relaying with Analog Network Coding
Robust, Nonparametric, Efficient Decomposition of Spectral Peaks under Distortion and Interference
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes
Dissecting Causal Biases
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
Position: The Pitfalls of Over-Alignment: Overly Caution Health-Related Responses From LLMs are Unethical and Dangerous
A Privacy-preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community Transmission
Exploiting context dependence for image compression with upsampling
Smooth Implicit Hybrid Upwinding for Compositional Multiphase Flow in Porous Media
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks
Analyzing Cooperative Monitoring and Dissemination of Critical Mobile Events by VANETs
A Survey on Multimodal Wearable Sensor-based Human Action Recognition
DF2M: An Explainable Deep Bayesian Nonparametric Model for High-Dimensional Functional Time Series
PSICA: decision trees for probabilistic subgroup identification with categorical treatments
Micro-Fracture Detection in Photovoltaic Cells with Hardware-Constrained Devices and Computer Vision
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection
Super-resolution of spatiotemporal event-based image
Minimal L p -congestion spanning trees on weighted graphs
Detection of gravitational-wave signals from binary neutron star mergers using machine learning
Chance-constrained optimal inflow control in hyperbolic supply systems with uncertain demand
Closing the Blinds: Four Strategies for Protecting Smart Home Privacy from Network Observers
Adjustment of force-gradient operator in symplectic methods
A Framework for Designing and Evaluating Solar Flare Forecasting Systems
SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods
Minimum Strict Consistent Subset in Paths, Spiders, Combs and Trees
Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs
Optimal transport and control of active drops
Deadbeat observer based switched linear system identification
Should Artificial Intelligence Governance be Centralised? Design Lessons from History
RENet: Fault-Tolerant Motion Control for Quadruped Robots via Redundant Estimator Networks under Visual Collapse
Enabling Autonomic Microservice Management through Self-Learning Agents
Systemic Constraints of Undecidability
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
A User-Driven Framework for Regulating and Auditing Social Media
An abstract approach to the Robin-Robin method
Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter
Performance Study on Image Encryption Schemes
LODESTAR: Degeneracy-Aware LiDAR-Inertial Odometry with Adaptive Schmidt-Kalman Filter and Data Exploitation
Retrieval-Augmented Water Level Forecasting for Everglades
Differences between Neurodivergent and Neurotypical Software Engineers: Analyzing the 2022 Stack Overflow Survey
Bayesian Speech synthesizers Can Learn from Multiple Teachers
Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation
An evaluation of SVBRDF Prediction from Generative Image Models for Appearance Modeling of 3D Scenes
DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones
DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings
Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite
Nonstandard linear recurring sequence subgroups in finite fields and automorphisms of cyclic codes
An Exploration of Agile Methods in the Automotive Industry: Benefits, Challenges and Opportunities
Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms
Remote Teaching and Learning in Applied Engineering: A Post-Pandemic Perspective
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
Customizing a Large Language Model for VHDL Design of High-Performance Microprocessors
LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution
The performance of the batch learner algorithm
Maximum Entropy Density Control of Discrete-Time Linear Systems with Quadratic Cost
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
A context-aware multiple Blockchain architecture for managing low memory devices
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
Tracing the Attention of Moving Citizens
HunYuan_tvr for Text-Video Retrievial
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Maximum Uncertainty Procedures for Interval-Valued Probability Distributions
Rational Hadamard products via Quantum Diagonal Operators
Prompt-to-Parts: Generative AI for Physical Assembly and Scalable Instructions
Natural Language Generation in Healthcare: Brief Review
Real-Time Iteration Scheme for Diffusion Policy
PC-GANs: Progressive Compensation Generative Adversarial Networks for Pan-sharpening
Optimal Tuning of Two-Dimensional Keyboards
UDF-GMA: Uncertainty Disentanglement and Fusion for General Movement Assessment
UniTacHand: Unified Spatio-Tactile Representation for Human to Robotic Hand Skill Transfer
Pebbling Arguments for Tree Evaluation
Automatic Severity Assessment of Dysarthric speech by using Self-supervised Model with Multi-task Learning
Reliable Multi-label Classification: Prediction with Partial Abstention
AdaCat: Adaptive Categorical Discretization for Autoregressive Models
Data-Efficient Methods for Dialogue Systems
Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors
Fog Computing: A Taxonomy, Survey and Future Directions
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
A Multi-Modal Spatial Risk Framework for EV Charging Infrastructure Using Remote Sensing
Using mixup as regularization and tuning hyper-parameters for ResNets
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Artificial Neural Network based Diagnostic Model For Causes of Success and Failures
Admission Control based Traffic-Agnostic Delay-Constrained Random Access (AC/DC-RA) for M2M Communication
Region-controlled Style Transfer
Power Allocation in Multi-hop OFDM Transmission Systems with Amplify-and-Forward Relaying: A Unified Approach
DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications
The Sum Leaks More Than Its Parts: Compositional Privacy Risks and Mitigations in Multi-Agent Collaboration
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training
Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features
LogicLens: Visual-Logical Co-Reasoning for Text-Centric Forgery Analysis
Guiding Multi-agent Multi-task Reinforcement Learning by a Hierarchical Framework with Logical Reward Shaping
Weighted Boxes Fusion: ensembling boxes for object detection models
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Random ordinate method for mitigating the ray effect in radiative transport equation simulations
Exploring the Law of Numbers: Evidence from China's Real Estate
Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling
Classifying and Ranking Microblogging Hashtags with News Categories
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)
Direction-aware multi-scale gradient loss for infrared and visible image fusion
The Complexity of Computational Problems about Nash Equilibria in Symmetric Win-Lose Games
Gradient target propagation
Training Generative Adversarial Networks with Weights
How to Work with Honest but Curious Judges? (Preliminary Report)
Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA
New approach method for solving nonlinear differential equations of blood flow with nanoparticle in presence of magnetic field
Fantastic Flips and Where to Find Them: A General Framework for Parameterized Local Search on Partitioning Problem
Branched Variational Autoencoder Classifiers
A note on the variation of geometric functionals
Rethinking Hierarchies in Pre-trained Plain Vision Transformer
Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields
On the Privacy of dK-Random Graphs
Equivalence Relations for Computing Permutation Polynomials
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images
Data augmentation using learned transforms for one-shot medical image segmentation
NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset
Proof of a conjecture on the algebraic connectivity of a graph and its complement
PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
A Novel AI-Driven System for Real-Time Detection of Mirror Absence, Helmet Non-Compliance, and License Plates Using YOLOv8 and OCR
What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning
Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders
Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic
The Relationship between Loneliness and Depression among College Students: Mining data derived from Passive Sensing
Challenges of sampling and how phylogenetic comparative methods help: With a case study of the Pama-Nyungan laminal contrast
A General Theory of Concept Lattice (II): Tractable Lattice Construction and Implication Extraction
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing
Efficient edge-preserving methods for dynamic inverse problems
Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search
Getting around the Halting Problem
Design Space Exploration of Sparse Accelerators for Deep Neural Networks
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models
Aspartix-V21
Annotation-cost Minimization for Medical Image Segmentation using Suggestive Mixed Supervision Fully Convolutional Networks
CodeTailor: Personalized Parsons Puzzles are Preferred Over AI-Generated Solutions to Support Learning
New Numerical Interface Scheme for the Kurganov-Tadmor second-order Method
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Generating protected fingerprint template utilizing coprime mapping transformation
Experimental evidence of chaos from memristors
Percolation on the institute-enterprise R&D collaboration networks
BedreFlyt: Improving Patient Flows through Hospital Wards with Digital Twins
Web3 Challenges and Opportunities for the Market
Belle Computing System
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Approximation algorithms for Job Scheduling with reconfigurable resources
Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition
TFR: Texture Defect Detection with Fourier Transform using Normal Reconstructed Template of Simple Autoencoder
Interpreting and Controlling Vision Foundation Models via Text Explanations
Digital twin for virtual sensing of ferry quays via a Gaussian Process Latent Force Model
Utilizing Large Language Models to Translate RFC Protocol Specifications to CPSA Definitions
Efficient QR-based Column Subset Selection through Randomized Sparse Embeddings
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews
Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation
Normalizing Flows with Multi-Scale Autoregressive Priors
A bilevel approach for optimal contract pricing of independent dispatchable DG units in distribution networks
Fabrication of 3D Packaging TSV using DRIE
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization
MirrorVLC: Optimal Mirror Placement for Multi-Element VLC Networks
Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation
New Cycle-based Formulation, Cost Function, and Heuristics for DC OPF Based Controlled Islanding
The Statistical Cost of Robust Kernel Hyperparameter Tuning
Bayesian optimal experimental design with Wasserstein information criteria
Geometric particle-in-cell methods for Vlasov-Poisson equations with Maxwell-Boltzmann electrons
Stochastic Adversarial Koopman Model for Dynamical Systems
A Geometric Method to Obtain the Generation Probability of a Sentence
Approximating the Incremental Knapsack Problem
Locally Linear Embedding and its Variants: Tutorial and Survey
A decision procedure for linear "big O" equations
Visualizing Neural Network Imagination
Data Mining and Its Applications for Knowledge Management: A Literature Review from 2007 to 2012
Conway games, algebraically and coalgebraically
Optimal Probabilistic Ring Exploration by Asynchronous Oblivious Robots
A Smoothed Analysis of the Space Complexity of Computing a Chaotic Sequence
SeeReader: An (Almost) Eyes-Free Mobile Rich Document Viewer
Symbolic Parametric Analysis of Embedded Systems with BDD-like Data-Structures
FSPGD: Rethinking Black-box Attacks on Semantic Segmentation
An Empirical Evaluation of Adversarial Robustness under Transfer Learning
LaTable: Towards Large Tabular Models
Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities
Mixture-of-Experts Framework for Field-of-View Enhanced Signal-Dependent Binauralization of Moving Talkers
Data-driven informative priors for Bayesian inference with quasi-periodic data
Test-Time-Matching: Decouple Personality, Memory, and Linguistic Style in LLM-based Role-Playing Language Agent
A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint
Model-Agnostic, Temperature-Informed Sampling Enhances Cross-Year Crop Mapping with Deep Learning
Exploring incentive strategies and predicting development trends for new energy vehicles
A New Design Technique of Reversible BCD Adder Based on NMOS With Pass Transistor Gates
Codebook Design for Millimeter-Wave Channel Estimation with Hybrid Precoding Structure
Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph
A Sylvester equation approach for the computation of zero-group-velocity points in waveguides
Few-shot Text Classification with Dual Contrastive Consistency
Mildly Exponential Time Approximation Algorithms for Vertex Cover, Uniform Sparsest Cut and Related Problems
Population-based JPEG Image Compression: Problem Re-Formulation
On Rainbow-k-Connectivity of Random Graphs
AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment
LLM and Infrastructure as a Code use case
A Short Introduction to the Koopman Representation of Dynamical Systems
Composite Reward Design in PPO-Driven Adaptive Filtering
Design and Analysis of E2RC Codes
E-Courseware Design and Implementation Issues and Strategies
Incorrect by Construction: Fine Tuning Neural Networks for Guaranteed Performance on Finite Sets of Examples
Cognitive LLMs: Towards Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making
Similarity Distribution based Membership Inference Attack on Person Re-identification
Dormancy-aware timed branching bisimilarity
Interpretability as Compression: Reconsidering SAE Explanations of Neural Activations with MDL-SAEs
Control of a fly-mimicking flyer in complex flow using deep reinforcement learning
On the Complexity of Verifying Regular Properties on Flat Counter Systems
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients
JArena: Partitioned Shared Memory for NUMA-awareness in Multi-threaded Scientific Applications
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
A Prolog-based Environment for Reasoning about Programming Languages (Extended abstract)
VisioBlend: Sketch and Stroke-Guided Denoising Diffusion Probabilistic Model for Realistic Image Generation
Multi-Modal Mixup for Robust Fine-tuning
Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks
EDEN: Evolutionary Deep Networks for Efficient Machine Learning
Design and Fabrication of Origami-Inspired Knitted Fabrics for Soft Robotics
DP-PSI: Private and Secure Set Intersection
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations
Ramp Up NTT in Record Time using GPU-Accelerated Algorithms and LLM-based Code Generation
The predictive power of the Blockhain transaction networks: Towards a new generation of network science market indicators
A Comprehensive Survey for Low Rank Regularization
Evaluation of Battery Storage to Provide Virtual Transmission Service
Online Makespan Scheduling under Scenarios
Optimal Decision Making Model of Battery Energy Storage-Assisted Electric Vehicle Charging Station Considering Incentive Demand Response
Est-ce que vous compute? Code-switching, cultural identity, and AI
How much does an interlibrary loan request cost? A review of the literature
Breaking the Variance: Approximating the Hamming Distance in $\tilde O(1/ε)$ Time Per Alignment
Rule Learning as Machine Translation using the Atomic Knowledge Bank
A Conditional Diffusion Model for Probabilistic Prediction of Battery Capacity Degradation
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution
Learning Based on CC1 and CC4 Neural Networks
The Composition of Digital Twins for Systems-of-Systems: a Systematic Literature Review
Feedback-Capacity of Degraded Gaussian Vector BC using Directed Information and Concave Envelopes
A fast and sound tagging method for discontinuous named-entity recognition
VRM-Phase I VKW system description of long-short video customizable keyword wakeup challenge
Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling
Second order pressure estimates for the Crank-Nicolson discretization of the incompressible Navier-Stokes Equations
Vaccination and Complex Social Dynamics
Effective Medical Test Suggestions Using Deep Reinforcement Learning