Computer Science

Research explores how DRL enhances automated driving performance in varied scenarios.

A method to enhance Bengali text summarization using various models and ranking techniques.

Examining how ChatGPT affects public information creation and sharing.

A benchmark framework to assess dynamic point removal methods for robots.

Discover efficient methods for active inference in challenging environments.

New methods enhance training against adversarial attacks by focusing on example vulnerabilities.

Federated learning enhances AI-generated content while addressing privacy and efficiency.

A new method improves understanding of predictions in graph regression tasks.

New framework optimizes model training through improved curricula discovery methods.

A method to enhance Bengali text summarization using various models and ranking techniques.

New dataset enhances video-text tasks for Indonesian speakers.

This study examines how language models generate text from knowledge graphs.

This study highlights how visual cues affect understanding spoken language.

A new method evaluates ASR systems without needing reference texts.

A focused method to improve language model training using important keywords.

An overview of using comparative assessment for text evaluation in language models.

Study reveals how noise affects random quantum circuits and their output distributions.

Learn how to manage changes in planar graphs effectively.

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.

Microgrids provide backup power and ensure stability through smart bidding and coordination.

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.

New methods for faster solutions to TSP and MST problems.

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.

Exploring fair allocation strategies for indivisible items using the maximin share approach.

This article discusses the interplay between privacy and fairness in voting methods.

Examining how information sharing affects decision-making in multi-agent systems.

Learn how Dynamic Net Metering supports energy communities in saving costs.

Effective information sharing can boost service efficiency and profits.

A new algorithm enhances efficiency in solving mean payoff games.

Exploring how false beliefs about opponents' goals affect decision-making in games.

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

Using computer vision to enhance defect classification in additive manufacturing.

New dataset enhances video-text tasks for Indonesian speakers.

Introducing a method to enhance reliability in image retrieval for critical applications.

New method combines multispectral and hyperspectral imaging for better image quality.

New strategies enhance accuracy in medical image segmentation for better diagnoses.

New framework improves AI's ability to analyze medical images and texts.

FreeCOS improves segmentation of complex shapes using self-supervised techniques and synthetic data.

Study reveals major concerns in replicating results from medical image segmentation competitions.

Examining how ChatGPT affects public information creation and sharing.

This article investigates how recommendations can encourage editing of underrepresented topics on Wikipedia.

This article explores how influential individuals change group opinions.

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.

A new strategy enhances effectiveness of backdoor attacks through smarter sample selection.

A look into digital signatures and their security through Boolean automorphisms.

Examining the strengths and weaknesses of split learning in data privacy.

Educational institutions face rising cyber threats, risking sensitive information and reputation.

This paper explores methods to enhance accuracy in Local Differential Privacy mechanisms.

CAPTCHAs are essential in distinguishing between humans and automated bots online.

New proof of authentication improves security in certificate issuance.

Innovative techniques aim to improve privacy in AI data analysis.

Research links Turán's theorem with efficient algorithms for finding cliques in graphs.

Exploring strategies for effective online decision-making and managing costs.

This work focuses on improving reachability in directed planar graphs, considering network failures.

Research reveals complexity in matroid optimization problems with linear constraints.

This research examines optimal mixing time for independent sets using Glauber dynamics.

Learn how space-filling curves enhance data organization for faster scientific computations.

New methods for faster solutions to TSP and MST problems.

New algorithms ensure stable results in combinatorial optimization problems.

A framework combining results reuse and workload sharing boosts data analysis speed.

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.

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.

This research examines optimal mixing time for independent sets using Glauber dynamics.

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 framework that improves federated learning for mobile devices, enhancing privacy and efficiency.

Exploring the role of PDMP and coupling in improving statistical sampling methods.

Federated learning enhances AI-generated content while addressing privacy and efficiency.

Learn how space-filling curves enhance data organization for faster scientific computations.

SelSync balances fast training and model accuracy in distributed deep learning.

A look at optimizing synchronization methods for high-performance processing.

A secure and private electronic voting system using blockchain.

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

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.

Contextual metrics improve comparisons of process behaviors in varying situations.

An overview of automata, their types, and languages they recognize.

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.

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.

CIM technology enhances MCMC sampling speed and energy efficiency for complex data analysis.

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 tool simplifies data documentation by allowing users to sketch insights directly on charts.

This study examines how touchscreen Voice Assistants support older adults in daily tasks.

Exploring visualization techniques and data quality in machine learning.

This tool uses AI to help developers understand their code more easily.

Exploring how humans and AI handle decision-making feedback.

A look at user traits and behaviors to improve support systems.

A new method helps comic creators adjust artwork for various digital platforms.

This article investigates how recommendations can encourage editing of underrepresented topics on Wikipedia.

Research aims to combine audio and symbolic data for music similarity analysis.

Learn how query reformulation improves conversational search systems.

This article investigates how recommendations can encourage editing of underrepresented topics on Wikipedia.

Study examines how hardware errors affect deep recommendation systems' performance and resilience.

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.

New DSP methods enhance optical networks while reducing costs and complexity.

A look at how the SOS technique simplifies complex optimization tasks.

Examining the role of information projections in hypothesis testing.

A look at phase retrieval's role in various scientific fields.

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.

RES extends Boolean systems, enhancing analysis of real number relationships.

A new algorithm enhances efficiency in solving mean payoff games.

This framework simplifies type theory definition and improves type checking in programming languages.

Learn how to manage changes in planar graphs effectively.

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.

Research explores how DRL enhances automated driving performance in varied scenarios.

Exploring efficient algorithms for decision-making in uncertain reward scenarios.

New framework optimizes model training through improved curricula discovery methods.

Learn about optimizing deep learning models and their practical applications.

A new method for visualizing overlapping clusters in bipartite graphs for better insights.

Using computer vision to enhance defect classification in additive manufacturing.

New dataset enhances video-text tasks for Indonesian speakers.

A new strategy enhances effectiveness of backdoor attacks through smarter sample selection.

MindOpt Tuner optimizes numerical software performance by automating hyperparameter adjustments.

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.

Examining how information sharing affects decision-making in multi-agent systems.

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.

New dataset enhances video-text tasks for Indonesian speakers.

Research aims to combine audio and symbolic data for music similarity analysis.

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 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.

A new method for growing artificial neural networks inspired by biology.

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.

Improving weather forecasts through innovative data assimilation techniques.

Research reveals connections in the brain change before and during seizures.

FB-RK(3,2) enhances accuracy and efficiency in shallow water simulations.

New methods improve understanding of solid-liquid transitions in materials.

This article presents a novel approach to simulate two-fluid interactions effectively.

Exploring smooth functions that improve the maximum function's usability in mathematics.

Research reveals methods for stabilizing wave equations using direct Fourier filtering.

A deep dive into Crouzeix's Conjecture and its implications in matrix analysis.

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.

Contextual metrics improve comparisons of process behaviors in varying situations.

A new method to help beginners find useful programming examples easily.

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.

Research explores how DRL enhances automated driving performance in varied scenarios.

A benchmark framework to assess dynamic point removal methods for robots.

Radar odometry aids vehicles in navigating tough environments using radar sensors.

A new method enhances automated vehicle parking efficiency in complex environments.

U-MPPI enhances path planning for safer autonomous vehicle navigation in uncertain environments.

A new framework enhances robot learning efficiency using physics models.

A new method enhances robots' cable routing capabilities through effective learning.

PeTRA aims to enhance patient mobility while ensuring safety during hospital transport.

Examining how ChatGPT affects public information creation and sharing.

This research introduces a method for detecting communities while ensuring data privacy.

Discover how hypergraphs enhance our analysis of complex relationships in various fields.

This article explores how moving between firms boosts inventor productivity and innovation.

A new method for pinpointing influencers in evolving marketing networks.

Exploring the impact of language models on sentiment analysis of user-generated content.

This article explores how influential individuals change group opinions.

A look at how RT adapts its content across languages.

A method to improve safety in software development for critical systems.

Evaluating quality of requirements generated by ChatGPT versus human experts.

Innovative methods in programming models enhance coding tasks and efficiency.

This tool uses AI to help developers understand their code more easily.

A new method to help beginners find useful programming examples easily.

A new framework enhances the reliability of automatically generated code.

This study explores adapter training for improved programming language model performance.

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

A guide to using AI models for music on the Bela platform.

NoRefER offers a new way to assess speech recognition outputs without needing transcripts.

This article discusses a method to enhance video captioning by incorporating audio.

A new model improves voice conversion by simplifying speech separation techniques.

Research aims to combine audio and symbolic data for music similarity analysis.

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.

Learn about creative telescoping for calculating definite sums efficiently.

This article discusses the finite expression method for solving complex state transitions.

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.

Research explores how DRL enhances automated driving performance in varied scenarios.

New package improves neural network stability for safer applications.

Examining how information sharing affects decision-making in multi-agent systems.

Learn how Dynamic Net Metering supports energy communities in saving costs.

U-MPPI enhances path planning for safer autonomous vehicle navigation in uncertain environments.

Drones provide power and data support for IoT sensors in remote locations.

Reconfigurable intelligent surfaces improve mmWave communication despite transmission challenges.

A method to enhance accuracy in knitted sensor readings using neural networks.