yusuke1997/dblp-id-title huggingface dataset:
Piecewise Linear Approximation in Data Streaming: Algorithmic Implementations and Experimental Analysis
Attention or memory? Neurointerpretable agents in space and time
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective
Variations in Web of Science and Scopus Journal Coverage, Visibility and Prestige between 2001 and 2020
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)
Unsupervised Learning in Echo State Networks for Input Reconstruction
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Algorithmic and Statistical Perspectives on Large-Scale Data Analysis
Reasoning About Causal Models With Infinitely Many Variables
Real time implementation of CTRNN and BPTT algorithm to learn on-line biped robot balance: Experiments on the standing posture
Ensemble ALBERT on SQuAD 2.0
Robust Reference-based Super-Resolution via C2-Matching
Beat on Gaze: Learning Stylized Generation of Gaze and Head Dynamics
Detecting race and gender bias in visual representation of AI on web search engines
Task-agnostic Continual Learning with Hybrid Probabilistic Models
Parameterized TSP: Beating the Average
Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
NNCFR: Minimize Counterfactual Regret with Neural Networks
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond
An Effective Transformer-based Contextual Model and Temporal Gate Pooling for Speaker Identification
Fine-Grained Counting with Crowd-Sourced Supervision
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections
Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes
BICM Capacity - Part II: First-Order Optimal Signal Sets and Binary Labelings
Parallel Adaptive Sampling with almost no Synchronization
TexComp - A Text Complexity Analyzer for Student Texts
Improving Virtual Contrast Enhancement using Longitudinal Data
Agent based decision making for Integrated Air Defense system
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Document Type Classification using File Names
Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
Automatic Knowledge Acquisition for Object-Oriented Expert Systems
Book Embeddings of Graph Products
One-Bit Quantization Design and Adaptive Methods for Compressed Sensing
StripDet: Strip Attention-Based Lightweight 3D Object Detection from Point Cloud
Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy
DepRes: A Tool for Resolving Fully Qualified Names and Their Dependencies
Compressive Matched-Field Processing
Fair navigation planning: a humanitarian robot use case
Cross-Platform Benchmarking of the FHE Libraries: Novel Insights into SEAL and Openfhe
Algebraic Elimination of epsilon-transitions
Compressive sensing based privacy for fall detection
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
On a large-stepsize integrator for charged-particle dynamics
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
Automatized marine vessel monitoring from sentinel-1 data using convolution neural network
Predicting Internet Connectivity in Schools: A Feasibility Study Leveraging Multi-modal Data and Location Encoders in Low-Resource Settings
Quantum Büchi Automata
Learning topological defects formation with neural networks in a quantum phase transition
Nonadaptive group testing with random set of defectives via constant-weight codes
Objective dyspnea evaluation on COVID-19 patients learning from exertion-induced dyspnea scores
Modeling Reference-dependent Choices with Graph Neural Networks
CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
On Drinfel'd associators
Physics-Informed Neural Networks (PINNs) for Parameterized PDEs: A Metalearning Approach
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
The use of machine learning with signal- and NLP processing of source code to detect and classify vulnerabilities and weaknesses with MARFCAT
Sparse Partial Optimal Transport via Quadratic Regularization
Fake it till you make it: Learning(s) from a synthetic ImageNet clone
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Stored and Inherited Relations
Hummingbird: A Flexible and Lightweight Inter-Domain Bandwidth-Reservation System
SAR Imaging of Moving Targets via Compressive Sensing
Decoding Modular Reconfigurable Robots: A Survey on Mechanisms and Design
Compressive Embedding and Visualization using Graphs
Capacity Scaling of Single-source Wireless Networks: Effect of Multiple Antennas
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval
Student Cluster Competition 2017, Team University ofTexas at Austin/Texas State University: Reproducing Vectorization of the Tersoff Multi-Body Potential on the Intel Skylake and NVIDIA V100 Architectures
A Value-Oriented Investigation of Photoshop's Generative Fill
Approximate Discrete Probability Distribution Representation using a Multi-Resolution Binary Tree
Towards Ultra-Reliable Low-Latency Communications: Typical Scenarios, Possible Solutions, and Open Issues
Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models
Training CNNs faster with Dynamic Input and Kernel Downsampling
Server Consolidation: An Approach to make Data Centers Energy Efficient and Green
Understanding visual attention beehind bee-inspired UAV navigation
Node metadata can produce predictability transitions in network inference problems
Exponential time differencing for matrix-valued dynamical systems
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition
LossMix: Simplify and Generalize Mixup for Object Detection and Beyond
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
Unfolding Orthotrees with Constant Refinement
T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging
Semantic Foundations of Reductive Reasoning
UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation
A journey in ESN and LSTM visualisations on a language task
PoWER-BERT: Accelerating BERT inference for Classification Tasks
Performance Analysis of a Cross-layer Collaborative Beamforming Approach in the Presence of Channel and Phase Errors
Deep Semi-supervised Learning with Double-Contrast of Features and Semantics
Sound Clouds: Exploring ambient intelligence in public spaces to elicit deep human experience of awe, wonder, and beauty
Dermoscopic Image Analysis for ISIC Challenge 2018
Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States
Subtractive Color Mixture Computation
Efficient and Accurate Range Counting on Privacy-preserving Spatial Data Federation [Technical Report]
Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
An Image Enhancement Method for Improving Small Intestinal Villi Clarity
A Weighted Similarity Metric for Community Detection in Sparse Data
LiDAR-based drone navigation with reinforcement learning
Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms
An imporved decentralized approach for tracking multiple mobile targets through ZigBee WSNs
Chain-of-Thoughts for Molecular Understanding
Convolutional Humanoid Animation via Deformation
Randomized Controlled Trials for Phishing Triage Agent
Threat, support and dead edges in the Shannon game
SSLFusion: Scale & Space Aligned Latent Fusion Model for Multimodal 3D Object Detection
Continuously Tempered Diffusion Samplers
Observer-Based High Order Sliding Mode Control of Unity Power Factor in Three-Phase AC/DC Converter for Hybrid Electric Vehicle Applications
Towards Ontology-Based Descriptions of Conversations with Qualitatively-Defined Concepts
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
Mobile Robot Navigation on Partially Known Maps using a Fast A Star Algorithm Version
A Natural Actor-Critic Algorithm with Downside Risk Constraints
Warm-Started Optimized Trajectory Planning for ASVs
Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks
Rank-frequency relation for Chinese characters
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System
Performance Study of Time Series Databases
Exploring Vibrotactile Intensity Perception with Multiple Waveform Parameters
An unexpected unity among methods for interpreting model predictions
Towards Precise Detection of Personal Information Leaks in Mobile Health Apps
Prescribed-Time Event-Triggered Control for Matrix-Scaled Networks
Radiometer Calibration using Machine Learning
Field of Interest Prediction for Computer-Aided Mitotic Count
Evaluation of Machine Learning Reconstruction Techniques for Accelerated Brain MRI Scans
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets
VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization
Investigating and Recommending Co-Changed Entities for JavaScript Programs
Improved Bound on the Number of Pseudoline Arrangements via the Zone Theorem
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data
Controlled illumination for perception and manipulation of Lambertian objects
ACE-HetEM for ab initio Heterogenous Cryo-EM 3D Reconstruction
A Toolbox for Fast Interval Arithmetic in numpy with an Application to Formal Verification of Neural Network Controlled Systems
Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data
Label Dependent Deep Variational Paraphrase Generation
SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set
Using the Immersed Penalized Boundary Method with Splines to Solve PDE's on Curved Domains in 3D
Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics
An Automated System for Detecting Visual Damages of Wind Turbine Blades
ViRAC: A Vision-Reasoning Agent Head Movement Control Framework in Arbitrary Virtual Environments
Simulated Affection, Engineered Trust: How Anthropomorphic AI Benefits Surveillance Capitalism
TextGuider: Training-Free Guidance for Text Rendering via Attention Alignment
Striking a New Chord: Neural Networks in Music Information Dynamics
Language model integration based on memory control for sequence to sequence speech recognition
VoiceCraft-X: Unifying Multilingual, Voice-Cloning Speech Synthesis and Speech Editing
A Real-time Anomaly Detection Method for Robots based on a Flexible and Sparse Latent Space
A Note on Efficiency of Downsampling and Color Transformation in Image Quality Assessment
Explainable and Safe Reinforcement Learning for Autonomous Air Mobility
The theoretical capacity of the Parity Source Coder
Non-equilibrium Model for Weakly Compressible Multi-component Flows: the Hyperbolic Operator
Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods
QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-Resolution
MLDS: A Dataset for Weight-Space Analysis of Neural Networks
Do Language Models Have a Critical Period for Language Acquisition?
Adaptive Coded Caching for Fair Delivery over Fading Channels
Deadline is not Enough: How to Achieve Importance-aware Server-centric Data Centers via a Cross Layer Approach
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds
Origami in N dimensions: How feed-forward networks manufacture linear separability
A New Energy Efficient MAC Protocol based on Redundant Radix for Wireless Networks
Weakly Supervised Change Detection Using Guided Anisotropic Difusion
Designing Conversational Robots with Children during the Pandemic
Conformation Clustering of Long MD Protein Dynamics with an Adversarial Autoencoder
Trust architectures in payment systems: the great bifurcation
Stochastic Video Long-term Interpolation
Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling
Local Certification of Some Geometric Intersection Graph Classes
Estimation of Heat Transfer Coefficient in Heat Exchangers from closed-loop data using Neural Networks
Accuracy analysis of Educational Data Mining using Feature Selection Algorithm
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
Hermitian Symmetric Spaces for Graph Embeddings
Quantum Bit Commitment Protocol Based on Counterfactual Quantum Cryptography
Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?
Approaching the Limits to EFL Writing Enhancement with AI-generated Text and Diverse Learners
Causal computations in Semi Markovian Structural Causal Models using divide and conquer
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
Black-Box Audits for Group Distribution Shifts
YZR-net : Self-supervised Hidden representations Invariant to Transformations for profanity detection
Integrating automatic speech recognition into remote healthcare interpreting: A pilot study of its impact on interpreting quality
Edge-Aware Image Compression using Deep Learning-based Super-resolution Network
New Upper Bounds for Trace Reconstruction
Almost Budget Balanced Mechanisms with Scalar Bids For Allocation of a Divisible Good
Full Rank Solutions for the MIMO Gaussian Wiretap Channel with an Average Power Constraint
Survey of Parallel Computing with MATLAB
TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models
Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution
Predictive risk estimation for the Expectation Maximization algorithm with Poisson data
The Algebraic Approach to Phase Retrieval and Explicit Inversion at the Identifiability Threshold
Solving Time-Dependent Traveling Salesman Problem with Time Windows under Generic Time-Dependent Travel Cost
Evaluating Reputation Systems for Agent Mediated e-Commerce
Making Graphs Irregular through Irregularising Walks
Evaluating graph-based explanations for AI-based recommender systems
Fantom: A scalable framework for asynchronous distributed systems
The Chaotic Art: Quantum Representation and Manipulation of Color
Uniform Kernel Prober
HDA-LVIO: A High-Precision LiDAR-Visual-Inertial Odometry in Urban Environments with Hybrid Data Association
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
Optimally sparse approximations of 3D functions by compactly supported shearlet frames
One-Sided Box Filter for Edge Preserving Image Smoothing
Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification
STL4IoT: A Statechart Template Library for IoT System Design
PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks
Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching
The Role of Robot Competence, Autonomy, and Personality on Trust Formation in Human-Robot Interaction
Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models
Binaural Audio Generation via Multi-task Learning
Probing Channel Balances in the Lightning Network
Identification of Books That are Suitable for Middle School Students Using Artificial Neural Networks
Fairness in Algorithmic Profiling: A German Case Study
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Local sampling and approximation of operators with bandlimited Kohn-Nirenberg symbols
ClusterNet: A Perception-Based Clustering Model for Scattered Data
Towards Optimal Constellation Design for Digital Over-the-Air Computation
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
Multiple Measurement Vectors Problem: A Decoupling Property and its Applications
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture
Useful Results for Computing the Nuttall${-}Q$ and Incomplete Toronto Special Functions
DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
Numerically Stable Binary Coded Computations
The Effects of Mobility on the Hit Performance of Cached D2D Networks
Robust stochastic optimization with the proximal point method
JOINT: Join Optimization and Inference via Network Traversal
SeRpEnt: Selective Resampling for Expressive State Space Models
Electric Vehicle Routing Problem with Spatio-temporal Varying Electricity Price and Incentive-aware Customers
Towards the Design of an End-to-End Automated System for Image and Video-based Recognition
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy
The Competition Complexity of Prophet Secretary
The vulnerability of communities in complex network: An entropy approach
Stochastic Operator Network: A Stochastic Maximum Principle Based Approach to Operator Learning
CaRL: Cascade Reinforcement Learning with State Space Splitting for O-RAN based Traffic Steering
Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains
DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning
Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack
Criticality and Safety Margins for Reinforcement Learning
Multi-scale Location-aware Kernel Representation for Object Detection
Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
Public-key pseudoentanglement and the hardness of learning ground state entanglement structure
On the values of repeated games with signals
VisMCA: A Visual Analytics System for Misclassification Correction and Analysis. VAST Challenge 2020, Mini-Challenge 2 Award: Honorable Mention for Detailed Analysis of Patterns of Misclassification
TransFG: A Transformer Architecture for Fine-grained Recognition
Synthesizer Sound Matching Using Audio Spectrogram Transformers
Deep Fully-Connected Networks for Video Compressive Sensing
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
Social Media Harm Abatement: Mechanisms for Transparent Public Health Assessment
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation
Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network
Finite element approximation to linear, second order, parabolic problems with L 1 data
MatInf - an Extensible Open-Source Solution for Research Digitalisation in Materials Science
A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information
Momentum Multi-Marginal Schrödinger Bridge Matching
Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
Representation using the Weyl Transform
Partitioned Paxos via the Network Data Plane
Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting
Interplay of epidemic spreading and vaccine uptake under complex social contagion
Committing to the bit: Relational programming with semiring arrays and SAT solving
Reverse Engineering Human Preferences with Reinforcement Learning
On k-means for segments and polylines
Denoising Score Matching with Random Fourier Features
Lossy Compression of General Random Variables
A Study on Clustering for Clustering Based Image De-Noising
Multi-version Indexing in Flash-based Key-Value Stores
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
Optimal Per-Edge Processing Times in the Semi-Streaming Model
No Encore: Unlearning as Opt-Out in Music Generation
Spatial and Temporal Characteristics of Freight Tours: A Data-Driven Exploratory Analysis
Adapting Large Language Models for Improving TCP Fairness over WiFi
New algorithms and lower bounds for monotonicity testing
Flat Posterior Does Matter For Bayesian Transfer Learning
Realization of Stochastic Neural Networks and Its Potential Applications
Tracking Road Users using Constraint Programming
SGL: Structure Guidance Learning for Camera Localization
Deep Research Bench: Evaluating AI Web Research Agents
Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
Deep Eigenspace Network and Its Application to Parametric Non-selfadjoint Eigenvalue Problems
GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
Coherent Minimisation: Towards efficient tamper-proof compilation
Almost Decouplability of any Directed Weighted Network Topology
Flexible goal-oriented space-time adaptivity for coupled Stokes flow and convection-dominated transport
Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
Effectively Using Long and Short Sessions for Multi-Session-based Recommendations
An Experimental Comparison of Deep Neural Networks for End-to-end Speech Recognition
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
CASAD: CAN-Aware Stealthy-Attack Detection for In-Vehicle Networks
A Review Of Progress for Component Based Software Cost Estimation From 1965 to 2023
Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detection
Pruned Collapsed Projection-Aggregation Decoding of Reed-Muller Codes
Inventions on GUI for Eye Cursor Controls Systems
BConformeR: A Conformer Based on Mutual Sampling for Unified Prediction of Continuous and Discontinuous Antibody Binding Sites
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization
On the algorithmic construction of deep ReLU networks
A study on Modeling of Dependency between Configuration Parameters and Overall Energy Consumption in Wireless Sensor Network (WSN)
Strong convergence of parabolic rate 1 of discretisations of stochastic Allen-Cahn-type equations
Comparison Study between NOMA and SCMA
Normalisation for Bilateral Classical Logic with some Philosophical Remarks, and a Note on it
Stable Nash Equilibria in the Gale-Shapley Matching Game
Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators