Computer Science

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

M-FLAG improves medical image analysis using frozen language models and optimized training.

Examining the risks and explainability challenges of adversarial attacks on AI models.

NNQS offers a fresh perspective for solving quantum chemistry challenges.

Discover how Lazy Clause Generation improves planning efficiency in computer science.

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

HAT-CL streamlines continual learning by automating HAT integration, enhancing model adaptability.

UniTabE revolutionizes table handling in data science with advanced pretraining techniques.

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.

A new method enhances how machines answer questions about images.

A new framework improves ASR for low-resource languages and multilingual scalability.

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

UniTabE revolutionizes table handling in data science with advanced pretraining techniques.

A new method for evaluating taxonomies using language models shows promise.

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.

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.

This study focuses on identifying paths in networks of disks.

Exploring light reliable spanners and their impact on networks.

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.

Robust-Depth improves depth estimation across varying weather conditions.

M-FLAG improves medical image analysis using frozen language models and optimized training.

A new method enhances image generation using less reliable labeled and unlabeled data.

HST framework shows significant improvements in tracking objects across video frames.

Innovative scattering spectra models improve uncertainty management in complex data analysis.

LOAF provides a new dataset for detecting people using overhead fisheye cameras.

SDS-CLIP enhances CLIP's image-text reasoning capabilities.

RepViT combines CNNs and ViTs for efficient mobile vision applications.

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.

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

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

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.

This article explores threats from malicious code in third-party packages.

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.

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.

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.

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.

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

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.

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 look into methods of obtaining randomness from structured sources.

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.

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

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.

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.

Exploring the role of saturating automata in understanding concurrent programming.

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.

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

New tools improve learning experiences for medical students studying anatomy.

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

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.

Examining how stereotypes shape interactions and opportunities in India.

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

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 article examines teamwork between schools and businesses in NLP.

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 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.

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.

A machine learning approach enhances the selection of SAT encodings for complex problems.

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

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

A new framework improves detection of anomalies in complex time-series datasets.

This study evaluates machine learning methods for predicting harmful emissions from gas turbines.

New insights improve predictive performance in statistical modeling.

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

New methods improve ensemble performance in automated machine learning.

M-FLAG improves medical image analysis using frozen language models and optimized training.

Examining the risks and explainability challenges of adversarial attacks on AI models.

A new framework enhances accuracy in time series predictions.

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.

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.

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

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

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 new method enhances how images match text inputs.

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 framework enhances state management for network functions in virtualized environments.

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.

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.

A new method improves complex shape modeling in simulations without penalties.

Exploring how infinite delay equations shape our understanding of ecological and epidemiological dynamics.

A new method for sampling from complex distributions in imaging.

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.

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.

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

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.

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

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

This research enhances collaborative robots' ability to recognize human actions.

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

Exploring the execution of complex tasks with unmanned aerial manipulators.

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.

A new algorithm offers reliable dimension estimates for networks.

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

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.

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.

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.

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

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

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 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.

This article examines how agents maintain agreement amid potential attacks.

New methods using multiple agents enhance electricity restoration efforts after outages.

Ensuring ship safety through advanced Cyber-HIL testing methods.