Computer Science

GShot generates high-quality graphs from limited training data using meta-learning techniques.

A study on how ChatGPT handles prompts and addresses bias in responses.

A new method enhances image generation using minimal object views.

Node Shift Encoding offers a better approach to the Travelling Salesman Problem.

Exploring methods to enhance AI decision-making through curiosity and experience.

G-CAME enhances understanding of object detection model predictions through clear saliency maps.

A look at ColdNAS and its impact on cold-start user challenges.

Examining how popularity bias affects user satisfaction in recommendation systems.

This research enhances translation quality using Quality Estimation from noisy datasets.

A look into improving image captioning with user input and data techniques.

Research aims to improve automated captioning of scientific figures using advanced models and datasets.

Integrating user feedback to improve image captioning models for better user experience.

Introducing an unsupervised approach for creating concise text summaries efficiently.

Discover how in-context learning reshapes language model capabilities.

This study investigates biases in language models using soft-prompt tuning.

A new benchmark improves evaluation of how models learn visual concepts.

Exploring methods to ensure reliability and clarity in AI decision-making.

Exploring complexity measures and efficiency in read-once branching programs.

Research on algorithms for finding shortest paths in distributed graph models.

New methods enhance management of electric vehicle sharing systems for better customer service.

Researchers unveil a method for simple patterns to replicate using cellular automata.

Bell sampling aids in proving the effectiveness of quantum computers over classical systems.

An overview of quantum learning and its applications in technology.

A concise overview of set functions, their types, and optimization methods.

AircraftVerse offers a vast collection of aerial vehicle designs and performance metrics.

A method to improve predictions of human reactions using selective data sampling.

Streamline analysis of complex systems using data and advanced modeling techniques.

Researchers develop models to improve liver surgery outcomes through better blood flow prediction.

Researchers develop a generative model to improve protein folding predictions.

Innovative approaches using DMD and GAN enhance modeling of shock-induced pore collapse.

This article discusses how blood vessels adapt under different conditions.

This model helps traders improve investment decisions with a focus on price changes.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

A new algorithm outperforms existing methods for point-in-polygon checks.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the intricacies and challenges of disk packing in geometry.

Explore an optimization challenge in connecting locations using Steiner points.

A new method improves mesh generation for accurate surface representation.

New research reveals methods to detect and address gerrymandering using random districting plans.

Research unveils methods to test if crease patterns can be folded flat.

Examining key aspects of loss functions in predicting human behavior.

Using reinforcement learning for fairer and engaging game levels.

An overview of generalized polymorphisms and their role in Boolean function analysis.

Examining how information markets can influence traditional voting methods.

Examining the threats of bribery to blockchain security and integrity.

Examining how algorithms can adapt to strategic behavior in lending and hiring.

Exploring strategies for securing networked systems against potential attacks.

Cyber insurance faces data sharing dilemmas in a complex risk landscape.

A look into improving image captioning with user input and data techniques.

Research aims to improve automated captioning of scientific figures using advanced models and datasets.

A new method enhances text recognition using audio data for better accuracy.

Integrating user feedback to improve image captioning models for better user experience.

A new method enhances image generation using minimal object views.

G-CAME enhances understanding of object detection model predictions through clear saliency maps.

This paper presents a method to ensure accountability for generated images.

A new benchmark improves evaluation of how models learn visual concepts.

LoopBoxes helps children create music easily and collaboratively.

A study on wayside crosses in Bavaria using OpenStreetMap data.

A study on using triplet loss to create fairer machine learning models.

Examines how centralized platforms reshape open source tools and community values.

Disinformation spreads rapidly online, affecting trust and informed choices.

Examining how AI language models reflect biases against marginalized communities.

Google's Topics API aims to improve user privacy in advertising.

A framework to assess generative AI's technical and societal effects.

This article discusses a watermarking approach for safeguarding diffusion models and their intellectual property.

Study adapts adversarial attacks from English to Chinese NLP systems.

Innovative technique enhances protection against power side-channel attacks.

New methods enhance defenses against adversarial attacks in deep learning systems.

A new method enhances learning from demonstrations by identifying and correcting errors.

Study reveals how key fingerprint length affects security and usability.

Exploring methods to ensure reliability and clarity in AI decision-making.

Examining how Solidity updates affect Ethereum smart contract vulnerabilities.

New methods enhance the speed of genomic data analysis using SBWT and LCP array.

Efficiently optimizing dynamic data under strict matroid rules.

A look into the importance and methods of quantum state estimation.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the benefits of lookahead in semi-online task scheduling.

Introducing an algorithm for private shortest path calculations in low tree-width graphs.

New graph embeddings enhance distinction between non-isomorphic graphs in machine learning tasks.

New methods improve sampling efficiency for large datasets in machine learning.

A new method improves spatial data partitioning for faster processing.

ScienceBenchmark offers a new benchmark for complex scientific databases.

A new method speeds up database queries using machine learning techniques.

This method balances fairness and project needs in team selection.

Learn how temporal query systems improve data analysis across various domains.

A method that combines data processing and ML predictions for faster decision-making.

A look at how data management has transformed over decades.

A new dataset and scoring model focuses on human tastes in image generation.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

A new index offers a detailed view of ongoing research contributions.

Investigating prompt-based methods for improving language models in research data retrieval.

Using Transformers to analyze and categorize research papers for better insights.

AI tools aim to improve access to LaTeX documents for visually impaired users.

A dataset offering insights into how the Russo-Ukrainian war is reported worldwide.

A new system allows users to search Iconclass using both text and images.

Exploring the complexity of crossing numbers in almost planar and anchored planar graphs.

Exploring machine learning methods for network optimization challenges.

This article discusses directed 1-separations and their role in infinite digraphs.

A look into the properties and applications of extremal families in mathematics.

An overview of generalized polymorphisms and their role in Boolean function analysis.

This article examines methods to show certain number sequences are positive.

Examining the coloring techniques of Cayley graphs in various algebraic structures.

Analysis of agent interactions and meeting times in non-atomic random walks.

Exploring new methods to improve decentralized learning efficiency while ensuring data privacy.

A powerful platform designed for easy and fast data processing.

JOSS optimizes energy use in task-based applications by considering CPU and memory together.

This paper presents a robust solution for reliable communication in distributed systems.

Innovative partitioning methods improve SMT solver efficiency for complex problems.

A novel approach reduces energy consumption in image sharing through local generation.

FedSMOO enhances federated learning by addressing data diversity and communication issues.

New algorithms improve the analysis of complex, high-dimensional datasets.

Explore how edge AI is transforming wireless communication systems for better efficiency and accuracy.

This study combines classical and quantum methods for improved image segmentation.

Exploring how RNS can boost efficiency and precision in deep learning.

Photonic networks harness light for faster AI processing and energy efficiency.

A new method improves prediction reliability in neural networks using spintronics.

This paper discusses flexible programming methods for dynamic qubit arrays in quantum computing.

Research highlights the benefits of the reducing-width Ansatz design in QNNs.

Exploring the potential of quantum neural networks in chemical and pharmaceutical research.

Examining the relationship between attributed and top-down tree transducers.

Discover how Wheeler automata enhance efficiency in data processing and pattern matching.

New techniques improve real-time monitoring for critical system performance.

Explore how invariants and home spaces help in system analysis.

This article explores improvements to Angluin's algorithm for learning automata with noisy data.

This method improves equation discovery from data by using intuitive tree structures.

Learn how multiplication transducers simplify calculations in various bases.

This article introduces a new framework for improving language model execution.

A new method enhances image generation using minimal object views.

A new method to improve information retrieval in academic literature.

A novel technique enhances the rendering of shiny surfaces in real-time applications.

A new sampling method enhances the efficiency of rendering in computer graphics.

StreetSurf creates detailed 3D models from standard images of street views.

This method converts hand-drawn sketches into editable 3D shapes easily.

Aladdin generates stylized 3D assets from simple scene descriptions.

A new method improves hair reconstruction for gaming, movies, and virtual meetings.

Reassessing how we classify and understand sequential circuits.

A look at Mixed-TD for optimizing neural networks on hardware.

A new framework improves text generation speed through better memory allocation.

ColibriUAV enhances drone performance with advanced cameras and efficient processing.

Utilizing Large Language Models to optimize DNNs for small devices.

NetGAP automates network design for complex systems, enhancing adaptability and efficiency.

Examining the impact of heterogeneous integration on reducing carbon emissions in tech.

Exploring how RNS can boost efficiency and precision in deep learning.

LoopBoxes helps children create music easily and collaboratively.

A new method for creating realistic impact sounds through neural networks.

A new method to improve information retrieval in academic literature.

Study reveals how key fingerprint length affects security and usability.

A look into how well ChatGPT understands and generates humor.

A new tool helps users manage rounding errors in floating-point calculations.

ColNav offers real-time guidance to improve colonoscopy outcomes and enhance polyp detection.

Understanding how surroundings impact nearsightedness in adolescents.

A new framework boosts consistency and performance in online advertising.

A model improves how platforms recommend videos to users.

Examining how popularity bias affects user satisfaction in recommendation systems.

A new method to improve information retrieval in academic literature.

A system to connect volunteers with vehicles during crises for efficient evacuations.

A new method for better user-driven product recommendations.

RD-Suite aims to standardize evaluation of ranking distillation methods for better comparison.

A new model improves food recommendations for users based on changing preferences.

A new system integrates satellite communication and navigation for better global coverage.

New methods improve quality of compressed digital media through perception-focused techniques.

Exploring the role of semantic communication in XR applications.

Learn how Turbo Autoencoders improve communication reliability over long distances.

This paper examines effective methods for evaluating strategies using Markov decision processes.

A new system improves image sharing for multiple users under variable conditions.

Channel Denoising Diffusion Models enhance signal clarity in noisy environments.

This research examines how NBP decoders perform on unseen data and factors affecting generalization.

Discover how automata enhance our understanding of logic and computation.

A look at how logic helps AI make sense of complex relationships.

Examining fairness principles in machine learning to ensure equitable decision-making.

Innovative partitioning methods improve SMT solver efficiency for complex problems.

A new method combines PAC learning and epistemic reasoning for effective knowledge acquisition.

A new approach to monitoring that uses multiple system executions for better accuracy.

Discover the essence and importance of proof theory in mathematics and beyond.

A look into how team semantics shapes logical inference and language interpretation.

dotears combines data types to clarify gene interactions.

New strategies enhance artificial intelligence's ability to generalize beyond training data.

A new framework boosts consistency and performance in online advertising.

A look at how Barron spaces enhance neural network performance in high dimensions.

GShot generates high-quality graphs from limited training data using meta-learning techniques.

This article discusses a watermarking approach for safeguarding diffusion models and their intellectual property.

Exploring machine learning methods for network optimization challenges.

A new approach to combat catastrophic forgetting in continuous learning models.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

A method using historical data for real-time basketball strategy development.

A collaborative approach improves flying robots' navigation in turbulent winds.

A new framework tackles challenges of Byzantine agents in distributed optimization.

Examining how information markets can influence traditional voting methods.

How online content influences opinion formation and societal divisions.

A new reasoning framework improves cooperation in multi-agent learning.

A new approach simplifies data sharing for efficient distributed learning.

A new method enhances safety for connected and automated vehicles amid potential threats.

LoopBoxes helps children create music easily and collaboratively.

A look at biases in text-video retrieval and ways to enhance accuracy.

A novel method enhances audio classification by learning new sounds efficiently.

A new system improves viewing direction selection in 360-degree videos.

A benchmark for assessing image similarity based on user-defined conditions.

A new model improves how machines understand and respond to audio questions.

A new strategy ensures equal representation of data types in machine learning.

A new dataset challenges methods for detecting altered video content.

Farmers use machine learning and IoT for better crop yield predictions.

Examining the impact of adversarial attacks on network intrusion detection systems.

Learned Digital Back-Propagation enhances optical signal quality and reduces interference.

FAIR Digital Objects aim to enhance management and sharing of research data.

Tiny devices could change how we monitor health inside the bloodstream.

A fresh approach reveals insights into LEO satellite networks based on real user data.

Examining the need for lower collateral requirements in blockchain loans.

A look at scheduling methods for effective network communication management.

Node Shift Encoding offers a better approach to the Travelling Salesman Problem.

Examining how algorithms perform in the presence of noise during multi-objective optimization.

Research shows how systems learn to adapt in real-time using brain-like mechanisms.

Exploring new methods for effective perimeter defense using technology and decentralized learning.

A new neuron design enhances CNN capabilities while reducing computational costs.

This study explores navigation strategies in a simulated Morris Water Maze environment.

Researchers find simpler models can compete with deeper networks in performance.

New library enhances AI training and evaluation in NetHack.

Neural networks offer new ways to solve complex Poisson equations in high dimensions.

Learn how model reduction techniques simplify complex systems for better analysis.

A look at how Barron spaces enhance neural network performance in high dimensions.

A new tool helps users manage rounding errors in floating-point calculations.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

Learn how to estimate errors in PINNs for better solutions to PDEs.

New method offers flexibility for calculating convolutions effectively.

Blendstrings provide smooth, accurate function representations in various fields.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

Discover how ZNS devices simplify SSD data management and improve efficiency.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

New methods improve the visualization of complex scientific data.

A new dataset of COBOL projects supports research in crucial systems.

A new tool helps users manage rounding errors in floating-point calculations.

A framework for monitoring blackbox components in networked applications.

New methods improve security in computer architecture through formal specifications.

This article discusses a combined method for effective automated code editing.

A new programming language simplifies Bayesian inference on function spaces for researchers.

Simplifying type management in programs with automatic box insertion.

This article discusses using Live Programming to enhance AI-generated code suggestions.

A collaborative approach improves flying robots' navigation in turbulent winds.

This article discusses methods to enhance RL agents' adaptability in changing environments.

Robots can now collaborate effectively using different methods and technologies.

A new method balances robot speed and human safety in collaborative environments.

AircraftVerse offers a vast collection of aerial vehicle designs and performance metrics.

A new drone design adapts for efficiency and flexibility in various tasks.

A flexible prediction model enhances safety and efficiency in highway merging.

Researchers develop new drone wings for effective perching on vertical surfaces.

A new method improves how GNNs explain their predictions.

Research shows how GNNs can adapt across different graph sizes.

Introducing hybrid graphs and their significance in understanding complex networks.

This paper examines how local homophily affects graph neural network performance.

Introducing a new model for understanding the growth of scale-free networks.

A look at how citation inflation skews our understanding of scientific contributions.

AI-generated explanations enhance labeling accuracy for sponsored social media posts.

This study analyzes offline cultural events using data from Meetup.com.

A new dataset of COBOL projects supports research in crucial systems.

Farmers use machine learning and IoT for better crop yield predictions.

Git-Theta streamlines model management and teamwork in machine learning projects.

HornFuzz tool enhances testing for CHC solvers by identifying bugs effectively.

Examining how Solidity updates affect Ethereum smart contract vulnerabilities.

Exploring prompt injection threats in LLM-integrated applications.

Analyzing cloning and shading methods to improve software security.

A look into the importance of construct validity in software engineering studies.

PLCMOS offers a new way to evaluate speech quality without human listeners.

LoopBoxes helps children create music easily and collaboratively.

A new method for creating realistic impact sounds through neural networks.

New technique enhances ASR systems for better recognition of non-native accents.

New methods leverage speaker identity to improve speech recognition performance.

A new method combines speech recognition and speaker identification for overlapping speech.

A novel method improves real-time translation quality and efficiency.

A new method to estimate room responses in complex sound environments.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

An overview of complex projective hypersurfaces and their significance in mathematics.

Methods for controlling distributed-parameter systems using flatness and backstepping designs.

Reassessing how we classify and understand sequential circuits.

Examining how popularity bias affects user satisfaction in recommendation systems.

This paper analyzes the economic benefits of battery storage across its lifespan.

Bayesian Reinforcement Learning enhances voltage control amidst cyber threats.

Explore methods for achieving performance and robustness in control systems.

Antenna features dual-band operation with unique meandering structure for versatile applications.

A new observer design estimates motion states affected by friction.