Computer Science

A new method enhances ordinal regression by better distinguishing close categories.

A new method improves accuracy and efficiency in medical image segmentation.

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

A fresh approach speeds up optimization using past experiences.

DialogStudio offers diverse datasets for better conversational AI training and performance.

An overview of non-regular extensions in description logics and their effects on decidability.

A novel framework enhances model selection for detecting outliers without labeled data.

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

Exploring advancements in AI-driven dialogue management for teamwork.

DialogStudio offers diverse datasets for better conversational AI training and performance.

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

Gender-tuning reduces bias in language models while maintaining performance levels.

Examining how stereotypes shape interactions and opportunities in India.

A look into modern methods for improving document retrieval efficiency.

A look into how attention mechanisms enhance language processing in AI.

Exploring privacy risks and strategies for managing data leakage in language models.

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.

Investigating the Pilot Assignment problem's theories in Cell-Free Massive MIMO.

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.

A new method for designing sound filters with wider frequency handling.

Introducing STZINB-GNN, a better model for predicting traffic accidents and uncertainties.

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.

This study focuses on identifying paths in networks of disks.

Exploring light reliable spanners and their impact on networks.

A look at how Möbius homology reveals connections in posets.

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 module enhances 3D pose estimation by integrating action information.

A new method enhances ordinal regression by better distinguishing close categories.

A novel approach improves both image editing and reconstruction using GANs.

A novel method enhances point clouds for better 3D analysis.

A new method improves accuracy and efficiency in medical image segmentation.

This research assesses the effectiveness of SAM in enhancing saliency maps in medical imaging.

A novel system improves identification of synthetic image sources.

New methods improve on-device machine learning for better personalization and privacy.

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.

An overview of AI image models, their workings, and societal implications.

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

A new approach to estimate financial risks from cyberattacks using real data.

VoteLab makes voting experiments easier and more accessible for researchers and decision-makers.

Researchers explore defenses against harmful backdoor attacks on machine learning models.

Exploring privacy risks and strategies for managing data leakage in language models.

Epsilon* evaluates privacy risks in machine learning without needing sensitive data access.

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

A new method combines formal analysis and fuzz testing to improve 5G security.

A new approach to estimate financial risks from cyberattacks using real data.

Examining how mempool privacy impacts transactions and fairness in blockchain systems.

This article examines player actions in CTF competitions for training improvements.

Advancements in algorithms for enhancing tree and string structures dynamically.

This research focuses on efficient algorithms for dynamic graphs, enhancing connectivity and bipartiteness analysis.

Explore how predictions improve dynamic graph algorithms for efficient updates.

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

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

Examining the true capabilities and limits of quantum computers today.

Epsilon* evaluates privacy risks in machine learning without needing sensitive data access.

Efficiently handles bulk data in real-time applications.

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.

A new approach to make ranking systems fairer for all groups.

Auto-Tables automates the conversion of non-relational tables for easier data analysis.

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.

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 look into methods of obtaining randomness from structured sources.

Exploring how vertices work together in graph structures.

Examining different game models of Cops and Robber on directed graphs.

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.

A new method for improved fairness in federated learning client selection.

A new framework enhances state management for network functions in virtualized environments.

A look at communication security in decentralized federated learning systems.

New methods improve model training efficiency and privacy in deep learning.

A study on improving deep learning models for limited-resource IoT systems.

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.

A new method improves Ising machines' efficiency in solving complex optimization problems.

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.

Exploring the role of saturating automata in understanding concurrent programming.

Research focuses on minimizing registers in weighted and cost register automata.

A look into counter nets, their functions, and unresolved questions.

A method for analyzing and categorizing complex systems through partitioning.

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.

New method improves 3D modeling accuracy from just one image.

New tools improve learning experiences for medical students studying anatomy.

Streamlining the creation of SDQ meshes for better fabrication processes.

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 look at how reservoir computing tackles time-dependent data challenges.

MASE simplifies and speeds up ML accelerator development for modern machine learning models.

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

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

Examining how stereotypes shape interactions and opportunities in India.

This article highlights the need for better research data management in HCI.

This article assesses LLM effectiveness in complex crowdsourcing processes.

RTVis helps researchers find trending topics and collaborations in their fields.

A new dataset enhances natural language processing for Android device control.

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

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 article examines teamwork between schools and businesses in NLP.

Learn how to enhance recommender systems for increased user satisfaction and retention.

A new approach to estimate financial risks from cyberattacks using real data.

MythQA detects false claims in social media to support accurate information.

A look into detection and recovery in complex networks.

Exploring codebook arrangements to minimize decoding errors in communication systems.

A look into using weighted autoencoders for better communication in NOMA systems.

New methods for estimating costs in agent decision-making.

Exploring hybrid active-passive RIS to improve UAV communication systems.

A new method improves communication and sensing performance through optimized frequency channel use.

A new approach enhances relay network performance using deep learning concepts.

A novel algorithm streamlines one-bit MIMO detection for enhanced wireless communication.

An overview of non-regular extensions in description logics and their effects on decidability.

Analyzing how different programs relate through execution alignment and verification.

A new logical framework strengthens multi-agent systems against unexpected changes.

New methods improve efficiency in logical proof generation and checking.

A look into non-normal modal logics enhancing agent interactions and reasoning.

A structured approach to teaching formal reasoning using calculational proofs and proof checkers.

A deep dive into the essential qualities of reversible computation systems.

Learn how asynchronous programming improves efficiency and code structure.

A fresh approach speeds up optimization using past experiences.

A look into decision modelling's role in enhancing data-driven choices.

New methods improve on-device machine learning for better personalization and privacy.

A model for better sales predictions in fast-food locations.

A novel framework enhances model selection for detecting outliers without labeled data.

Applying deep learning for financial decision-making with delayed impacts.

Exploring the integration of quantum methods into predictive process monitoring.

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

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.

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.

A new method improves fairness in participatory budgeting by promoting dialogue among voters.

A new approach to improve private data trading accuracy and privacy.

This paper introduces responsibility anticipation for better decision-making in multi-agent interactions.

AI research focuses on improving human-like communication in artificial agents.

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 new method enhances how images match text inputs.

Exploring how blockchain technology can reshape copyright management for creators.

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 framework enhances state management for network functions in virtualized environments.

A new method enhances reliability in satellite communication systems through intelligent packet handling.

A look at communication security in decentralized federated learning systems.

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.

Discover the latest innovations in portfolio optimization and risk management.

New methods enhance the efficiency of Spiking Neural Networks through reduced firing.

New methods improve efficiency in geological modelling for oil and gas exploration.

Exploring new methods for modeling materials influenced by randomness in phase separation.

Exploring methods and applications of stochastic partial differential equations in various fields.

New techniques improve signal recovery in compressed sensing using proximal operators.

New techniques enhance efficiency and accuracy in experimental design using Bayesian methods.

A new method enhances solutions for complex multi-scale problems using neural networks.

A study on mathematical methods for poroelastic materials in engineering and biology.

A novel approach to enhance stability in complex systems like bridges and vehicles.

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.

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.

Innovative editors simplify coding by enhancing user interaction with JSON-based languages.

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

Approximate computing enhances efficiency and power savings in various applications.

Examining difficulties in finding strong invariants for polynomial loops and their implications.

ProNav enhances legged robots' ability to navigate challenging terrains safely.

Exploring the execution of complex tasks with unmanned aerial manipulators.

A robot designed to replicate the swimming patterns of bacteria using flagella.

A new method improves decision-making under uncertainty in offline learning.

This article discusses a new model for improving robotic depth perception using multiple sensors.

Exploring the benefits of PBRS in humanoid robot training.

This paper highlights improvements in robotic navigation for marine environments.

RobôCIn prepares for RoboCup 2023 with new strategies and technical advancements.

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.

A new algorithm offers reliable dimension estimates for networks.

This article presents a new hub model for neural networks based on brain structures.

Introducing friction can enhance content quality shared on social platforms.

Explore how changing student connections impact learning outcomes.

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.

Examining the role of software analytics in quantum computing.

Examining bias in machine learning code reviewer systems.

Live Refactoring boosts developer efficiency and code quality with real-time suggestions.

Learn how Software Product Line Engineering and transplantation can enhance development efficiency.

A deep look into the testing methods for physical simulation engines.

A new method enhances safety testing for self-driving vehicles.

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.

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

Wespeaker simplifies speaker recognition with user-friendly tools and pretrained models.

A new method transforms mono signals into engaging stereo experiences.

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.

Ensuring ship safety through advanced Cyber-HIL testing methods.

Exploring the execution of complex tasks with unmanned aerial manipulators.

A new method improves decision-making under uncertainty in offline learning.

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

New designs improve efficiency of magnetic-core solenoid inductors in power converters.

A new method for optimal PMU placement improves monitoring in power systems.

This paper highlights improvements in robotic navigation for marine environments.

Combining physics with machine learning enhances model accuracy and efficiency across various fields.