Computer Science

A new method improves model training by addressing complexity in graph learning.

Introducing a new method for efficient and high-quality graph generation.

AI enhances satellite data processing for quicker, intelligent decision-making in space.

Introducing a framework for advanced text generation using language models.

QCNNs use hyper-complex numbers for enhanced data representation in neural networks.

Examining how machines learn and adapt beyond physical movement.

A new model improves connections between text, images, and audio.

Examining the complexities of fairness in AI systems and their real-world impacts.

A new method improves model training by addressing complexity in graph learning.

Leveraging large language models to improve biological data extraction and analysis.

Introducing a framework for advanced text generation using language models.

New methods enhance speech segmentation in multi-language conversations.

Exploring the impact of large language models on language teaching and assessment.

Examining the role of skills-based matching in promoting gender diversity in the workplace.

CoAD enhances the accuracy of automatic diagnosis in healthcare through better symptom management.

A comparison of Bing Chat and ChatGPT for Vietnamese student support.

This article examines how universality connects various systems across disciplines.

A closer look at graph coloring without specific patterns.

Discover the nuances of modal logic and its applications.

Examining the complexities of defensive alliances in different types of graphs.

A deep dive into the challenges of computational problem-solving.

Examining the balance of fairness and efficiency in resource allocation.

Learn methods to efficiently assign tasks and workers while minimizing costs.

A new concept that merges computation and thermodynamics in Turing machines.

A look into the dynamics of specialty insurance and its key participants.

Examining the balance between data sharing and patient privacy in biomedical research.

Discover how data is transforming the design of metamaterials for various applications.

PINNsFormer enhances accuracy in solving partial differential equations using advanced Transformer structures.

A study on deep learning algorithms for optimizing investment portfolios.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

Essential tips for submitting your machine learning research to ICML.

Combining accuracy and clarity in engineering through machine learning and symbolic regression.

Examining the role of flip-width in the complexity of geometric graphs.

A new approach to create quality meshes using grid-based techniques.

Exploring how to cover geometric graphs with star-forests efficiently.

This article explores how to estimate set sizes using point samples and polynomial volume functions.

A new algorithm for grouping similar movement paths in large datasets.

Effective algorithms for optimal facility placement in continuous client distributions.

Exploring methods for learning about polytopes through hyperplanes.

A detailed look at topologically attributed graphs for efficient shape classification.

A look at how budget choices impact bidding in online advertising.

Explore how causal models clarify various decision-making theories.

Exploring the essentials of fair division in daily resource distribution.

This article presents a model for improving user engagement through evolving preferences.

An overview of effective bidding methods for wireless communication licenses.

New methods help players improve poker strategies while minimizing risks.

A study on effective matching for maximizing project value in organizations.

Exploring fair allocation methods using Maximin Share principles.

A new method uses basic math to analyze video content effectively.

Utilizing modular learning and self-training for improved medical image analysis.

Examining the role of deep learning in enhancing MRI accuracy and reliability.

DARTS improves image quality through efficient attention mechanisms and streamlined architecture.

New method enhances computer vision in low light without nighttime training data.

A new method enhances model speed and accuracy in machine learning.

Exploring diffusion models for image generation and classification.

AI enhances satellite data processing for quicker, intelligent decision-making in space.

A new method addresses vehicle failures in assembly planning.

AGI companies can learn from various industries to better manage risks.

Examining social and ethical risks in machine learning image generation.

This study reveals biases in AI models analyzing disability-related language.

Analyzing how generative language models borrow from existing content and its implications.

This article examines methods to test language models for bias.

Ukraine faces challenges as skilled workers seek opportunities abroad.

Examining concerns of test-takers regarding AI versus traditional human scoring.

ICAR framework enhances cybersecurity by linking vulnerabilities, threats, and assets effectively.

RYDE offers a secure digital signature solution using advanced mathematics.

An overview of MDS and NMDS matrices and their role in data security.

MIRA presents a secure approach to digital signatures using advanced mathematics.

A secure and private electronic voting system using blockchain.

Examining how BadNets exploit spam filters through backdoor tactics.

Cybercriminals exploit OT systems using new extortion tactics like DM-PLC.

Examining the balance between data sharing and patient privacy in biomedical research.

Exploring fairness in selecting representatives from diverse groups.

Analyzing the greedy algorithm for effective car parking management in garages.

A deep dive into tackling the BMWIS problem in bipartite and perfect graphs.

Strategies to quickly inform communities through network connections.

Explore the dynamics and applications of energy games in various fields.

Discover how the primal-dual algorithm extends to semi-uncrossable set families.

Investigating how dimensions affect efficiency in online chasing tasks.

Explore new algorithms for efficiently solving the APSP problem in graphs.

LearnedSort uses machine learning to enhance sorting speed and efficiency.

A new method improves how large language models are updated and used.

LightPath offers a scalable and efficient approach to path representation in smart transportation.

Beep improves pattern mining efficiency and effectiveness in racket sports analysis.

Efficiently handles bulk data in real-time applications.

This article discusses creating fair hashmaps for equitable data management.

Addressing client failures in disaggregated memory systems through transactional indexes.

MorphStream improves data stream management for real-time applications.

This study enhances patent image classification using advanced deep learning techniques.

This article examines teamwork between schools and businesses in NLP.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A tool for maintaining confidentiality and integrity in research data management.

An overview of key papers on NLP and ML from early 2023.

Strategies to quickly inform communities through network connections.

A look at visualizing graphs on complex surfaces, focusing on the Klein bottle.

Investigating how dimensions affect efficiency in online chasing tasks.

Learn about Markov chains and their vital role in various fields.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

Explore how Condorcet domains shape collective decision-making in voting.

Exploring the balance of graph colorings and their implications in mathematics.

A look into how geophylogenies visualize species and their geographic connections.

A secure and private electronic voting system using blockchain.

Discover a new log system designed to maintain order in unpredictable situations.

A new method enhances decentralized learning efficiency and performance challenges.

A new method improves how large language models are updated and used.

New library enhances dataset creation for machine learning research.

Learn how to improve binary tree sums using parallel programming techniques.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

In-network storage caches enhance data access for global scientific projects.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A new MIV-transistor design enhances performance in 3D integrated circuits.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

New models enhance decision-making with flexible discount factors.

This article examines how universality connects various systems across disciplines.

A concise look at star-free closure and its impact on regular languages.

A look into how temporal logic shapes language study in computer science.

A framework using membership and preference queries helps machines learn user expectations.

Advancements in algorithms for enhancing tree and string structures dynamically.

This research reveals strong links between planar machines and specific language types.

A look into the role of good-for-MDPs automata in decision-making processes.

A study evaluates how well different visualizations reveal data changes.

Discover how 3D knots create art that shifts with perspective.

A new method enhances facial animations by modifying existing styles.

This article examines how textures improve the display of categorical data.

A new VR framework enhances facility inspections and maintenance planning.

A new method merges high-quality rendering with fast performance using Tri-MipRF.

A new image editing model uses language instructions for intuitive edits.

LLNeRF enhances image quality for better 3D representations in low light.

A simple model improves prefetcher selection, boosting performance up to 25%.

The eGPU enhances soft processing capabilities within FPGAs for diverse applications.

Approximate Computing balances quality and efficiency in today's tech landscape.

Approximate computing enhances efficiency and power savings in various applications.

Safety islands enhance HPC devices for critical applications like self-driving cars.

MARS framework optimizes deep neural networks on multi-accelerator systems.

Neuromorphic computing offers new ways to process data inspired by the human brain.

A new approach improves polynomial modular multiplication for secure data processing.

A study evaluates how well different visualizations reveal data changes.

A new tool helps skiers find slopes tailored to their preferences.

Evaluating the role of visualization tools in enhancing decision-making stages.

Examining social and ethical risks in machine learning image generation.

Exploring the need for better explanations in AI systems.

PromptMagician helps users generate images from text prompts effectively.

This article examines how textures improve the display of categorical data.

A study on predicting workload for air traffic controllers to enhance aviation safety.

gSAM enhances GNNs for better item recommendations and generalization.

A look at promoting fairness in recommendation systems amidst information overload.

The ZeQR framework improves conversational search efficiency by handling query ambiguities.

This study examines methods for retrieving images to support arguments effectively.

A look into modern methods for improving document retrieval efficiency.

This study enhances patent image classification using advanced deep learning techniques.

A new method enhances document retrieval systems with real-time updates.

UniMatch simplifies marketing by combining recommendations and targeting into one model.

This study examines how irreversibility impacts cryptocurrency market efficiency.

Learn how to enhance mean estimates using Fisher Information and innovative techniques.

An overview of MDS and NMDS matrices and their role in data security.

Discover how RSMA will shape the future of 6G wireless networks.

A new approach improves aerial communication using energy harvesting and smart power allocation.

Combining predictors for improved accuracy in various contexts.

A look into detection and recovery in complex networks.

Exploring codebook arrangements to minimize decoding errors in communication systems.

A look at how interpolation connects logical statements and its applications.

New models enhance decision-making with flexible discount factors.

Combining symbolic reasoning and deep learning to enhance biomedical data analysis.

This article examines how universality connects various systems across disciplines.

A look at Modal Logic's connection to data and comparison games.

A look at how new type systems improve resource management in programming.

A concise look at star-free closure and its impact on regular languages.

A look into how temporal logic shapes language study in computer science.

gSAM enhances GNNs for better item recommendations and generalization.

New methods create varied datasets for better evaluation of Graph Neural Networks.

Utilizing modular learning and self-training for improved medical image analysis.

A new method improves link prediction accuracy using node attributes.

Meta-Value Learning enhances cooperation among agents in competitive and collaborative environments.

A new method improves model training by addressing complexity in graph learning.

Introducing a new method for efficient and high-quality graph generation.

Examining the role of deep learning in enhancing MRI accuracy and reliability.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Meta-Value Learning enhances cooperation among agents in competitive and collaborative environments.

Exploring how congestion affects robot swarms and decision-making strategies.

A look into the dynamics of specialty insurance and its key participants.

Research highlights how robots must communicate to succeed in complex tasks.

Exploring how different AIs shape cooperation in society.

Examining the need for effective verification in complex multi-agent systems.

OMIGA enhances offline multi-agent learning by integrating global and local learning strategies.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

New methods improve watermark removal while preserving image quality.

A new method enhances hate speech detection by combining text, images, and discussion context.

AI predictions improve service for extended reality users on advanced networks.

A new model enhances speech extraction using audio and visual information.

RetouchingFFHQ dataset enhances face retouching detection methods.

Study uses multi-data device to track infant sleep patterns more accurately.

A new approach to enhance image labeling accuracy in machine learning.

A new method improves action recognition by using fewer frames without losing important context.

A novel system for managing transactions in leaderless distributed ledgers without high fees.

Explore how Reverse Path Congestion Marking enhances data traffic management in networks.

Integrating explainable AI into 6G enhances user trust and performance.

AI predictions improve service for extended reality users on advanced networks.

This work proposes guidelines to measure congestion control performance effectively.

This article investigates the bias in Internet measurement platforms and its implications.

A comprehensive dataset sheds light on Wi-Fi probe requests and user privacy.

In-network storage caches enhance data access for global scientific projects.

New methods improve ensemble performance in automated machine learning.

Explore how virtual plants adapt and evolve in simulated environments.

Neuromorphic computing enhances data filtering in high-energy physics experiments.

New linear models challenge traditional methods in sequence data processing.

An overview of pruning and quantization methods applied to YOLOv5.

Examining various strategies for effective optimization in finite and infinite search spaces.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

Understanding numerical solutions for integral and differential equations in science and engineering.

A new algorithm enhances signal recovery performance in phase retrieval applications.

Exploring the challenges and innovations in unfitted finite element methods for PDEs.

A new method enhances tackling complex electromagnetic challenges.

A novel approach for modeling how floating structures respond to ocean waves.

A new method improves the accuracy of advection-diffusion equations using neural networks.

An in-depth look at how sound waves interact with various objects.

Analyzing thermal models improves machine performance and reliability through precise temperature control.

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.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

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 fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

New algorithms improve decision-making by addressing advice reliability in uncertain environments.

Examining the true capabilities and limits of quantum computers today.

Analyzing data transmission issues in modern cellular networks and possible improvements.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Industry and academia unite for better biomedical data processing.

Learn how extensible data types enhance flexibility and safety in programming.

Introducing a system to better manage and process complex data streams.

Introducing efficient techniques for evaluating uncertain outcomes in programming.

A look into polynomial time and its relation to type systems in computing.

Causal Separation Diagrams simplify the understanding of causal relationships in concurrent systems.

Learn how to improve binary tree sums using parallel programming techniques.

Learn how probabilistic programming incorporates uncertainty in computing and the role of symbolic execution.

This article discusses the importance of managing data races in concurrent software.

New framework improves underwater mapping and sensing despite environmental challenges.

Examining how machines learn and adapt beyond physical movement.

Exploring how congestion affects robot swarms and decision-making strategies.

D-Map streamlines occupancy mapping for robots using high-resolution LiDAR sensors.

A study on how robots utilize sight, touch, and position data to identify container contents.

A new method enhances moving horizon estimation efficiency and accuracy for real-time applications.

Using language and vision to improve robot learning efficiency.

A fresh approach to make self-driving cars safer and more comfortable.

New methods create varied datasets for better evaluation of Graph Neural Networks.

A new method improves link prediction accuracy using node attributes.

A new method enhances hate speech detection by combining text, images, and discussion context.

This article reviews methods to predict trends in AI and nuclear nonproliferation capabilities.

Examining the impact of lurkers in online political discussions.

A new method to analyze urban infrastructure weaknesses and improve city resilience.

Exploring how futurists shape thoughts about the future through language on Twitter.

Examining how opinions shift through various interaction rules in networks.

ContractFix improves smart contract safety by automating vulnerability detection and patching.

A new method for generating test programs enhances bug detection in JIT compilers.

A new framework for testing safety and security in industrial control systems.

A fast approach for verifying KNN model robustness against data poisoning.

This article explores the impact of noisy labels on AI in programming tasks.

Learn how state machines simplify software design and enhance system management.

A new framework improves log parsing using advanced language models for better accuracy.

A study comparing the quality of human and AI responses in programming.

New methods enhance speech segmentation in multi-language conversations.

NoisyILRMA enhances sound extraction from background noise for clearer audio experiences.

This article discusses the role of self-supervised learning in music technology.

Personalized ASR systems improve communication for DHH individuals significantly.

New methods leverage conversational summaries for better speaker recognition.

Enhancing feedback systems for English learners by addressing the cold start problem.

Researching methods to locate sound sources from wind turbines for noise reduction.

Introducing a new model for identifying singing techniques in audio tracks.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

This article examines conditional obligations and their significance in ethical reasoning.

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

A new framework for testing safety and security in industrial control systems.

Exploring the potential of wave energy through innovative superconductors and designs.

A look at backstepping control for complex dynamical systems.

A look at how VI-SLAM helps devices map and locate themselves.

A new method enhances moving horizon estimation efficiency and accuracy for real-time applications.

New methods improve satellite control using atmospheric drag without fuel.

This article discusses the role of controlled invariants in maintaining system safety.

A new method improves machine tuning with safety and data-driven optimization.