Cookie Consent by Free Privacy Policy Generator ๐Ÿ“Œ This AI Paper from UNC-Chapel Hill Proposes ReGAL: A Gradient-Free Method for Learning a Library of Reusable Functions via Code Refactorization
Team IT Security Nachrichtenportal Logo

๐Ÿ  Team IT Security News

TSecurity.de ist eine Online-Plattform, die sich auf die Bereitstellung von Informationen,alle 15 Minuten neuste Nachrichten, Bildungsressourcen und Dienstleistungen rund um das Thema IT-Sicherheit spezialisiert hat.
Ob es sich um aktuelle Nachrichten, Fachartikel, Blogbeitrรคge, Webinare, Tutorials, oder Tipps & Tricks handelt, TSecurity.de bietet seinen Nutzern einen umfassenden รœberblick รผber die wichtigsten Aspekte der IT-Sicherheit in einer sich stรคndig verรคndernden digitalen Welt.

16.12.2023 - TIP: Wer den Cookie Consent Banner akzeptiert, kann z.B. von Englisch nach Deutsch รผbersetzen, erst Englisch auswรคhlen dann wieder Deutsch!

Google Android Playstore Download Button fรผr Team IT Security
RSS Feed Symbol fรผr Team IT Security 800+ IT News als RSS Feed abonnieren



๐Ÿ“š This AI Paper from UNC-Chapel Hill Proposes ReGAL: A Gradient-Free Method for Learning a Library of Reusable Functions via Code Refactorization


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

Optimizing code through abstraction in software development is not just a practice but a necessity. It leads to streamlined processes, where reusable components simplify tasks, increase code readability, and foster reuse. The development of generalizable abstractions, especially in automated program synthesis, stands at the forefront of current research endeavors. Traditionally, Large Language Models (LLMs) have [โ€ฆ]

The post This AI Paper from UNC-Chapel Hill Proposes ReGAL: A Gradient-Free Method for Learning a Library of Reusable Functions via Code Refactorization appeared first on MarkTechPost.

...



Sharing is caring on Social Media

๐Ÿ”— Reddit
๐Ÿ”— Telegram
๐Ÿ”— LinkedIn
๐Ÿ”— Xing
๐Ÿ”— Twitter
๐Ÿ”— Whatsapp
๐Ÿ”— Facebook
๐Ÿ”— Flipboard

Join the Team IT Security Community

๐Ÿ”— "IT Sicherheit" Reddit-Gruppe
๐Ÿ”— "IT Sicherheit" Telegramm-Seite

๐Ÿ“Œ This AI Paper Proposes a Novel Gradient-Based Method Called Cones to Analyze and Identify the Concept Neurons in Diffusion Models


๐Ÿ“ˆ 54.85 Punkte

๐Ÿ“Œ Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ)


๐Ÿ“ˆ 43.75 Punkte

๐Ÿ“Œ This AI Paper Proposes FACTORCL: A New Multimodal Representation Learning Method to Go Beyond Multi-View Redundancy


๐Ÿ“ˆ 42.64 Punkte

๐Ÿ“Œ This AI Paper Proposes FLORA: A Novel Machine Learning Approach that Leverages Federated Learning and Parameter-Efficient Adapters to Train Visual-Language Modelsย VLMs


๐Ÿ“ˆ 38.01 Punkte

๐Ÿ“Œ MWC 2016: Die Shopping-App verfolgt Dich von Regal zu Regal


๐Ÿ“ˆ 37.77 Punkte

๐Ÿ“Œ MWC 2016: Die Shopping-App verfolgt Dich von Regal zu Regal


๐Ÿ“ˆ 37.77 Punkte

๐Ÿ“Œ This AI Paper Proposes A Privacy-Preserving Face Recognition Method Using Differential Privacy In The Frequency Domain


๐Ÿ“ˆ 35.77 Punkte

๐Ÿ“Œ This Artificial Intelligence (AI) Paper Proposes a Novel Method to Fuse Language Structures into Diffusion Guidance for Compositionality Text-to-Image Generation


๐Ÿ“ˆ 35.77 Punkte

๐Ÿ“Œ This AI Paper Proposes A New Method For Fine-Tuning Model Weights Toย Erase Concepts From Diffusion Models Using Their Own Knowledge


๐Ÿ“ˆ 35.77 Punkte

๐Ÿ“Œ Can You Virtually Try On Any Outfit Imaginably? This Paper Proposes a Groundbreaking AI Method for Photorealistic Personalized Clothing Synthesis


๐Ÿ“ˆ 35.77 Punkte

๐Ÿ“Œ This AI Paper Proposes CoMoSVC: A Consistency Model-based SVC Method that Aims to Achieve both High-Quality Generation and High-Speed Sampling


๐Ÿ“ˆ 35.77 Punkte

๐Ÿ“Œ This AI Paper Proposes ML-BENCH: A Novel Artificial Intelligence Approach Developed to Assess the Effectiveness of LLMs in Leveraging Existing Functions in Open-Source Libraries


๐Ÿ“ˆ 35.75 Punkte

๐Ÿ“Œ Serverless Prey - Serverless Functions For Establishing Reverse Shells To Lambda, Azure Functions, And Google Cloud Functions


๐Ÿ“ˆ 34.44 Punkte

๐Ÿ“Œ Functions of Commercial Bank: Primary Functions and Secondary Functions


๐Ÿ“ˆ 34.44 Punkte

๐Ÿ“Œ Researchers at UC San Diego Propose DrS: A Novel Machine Learning Approach for Learning Reusable Dense Rewards for Multi-Stage Tasks in a Data-Driven Manner


๐Ÿ“ˆ 34.21 Punkte

๐Ÿ“Œ A New Prompt Engineering Research Proposes PEZ (Prompts Made Easy): A Gradient Optimizer For Text That Utilizes Continuous Embeddings To Reliably Optimize Hard Prompts


๐Ÿ“ˆ 32.96 Punkte

๐Ÿ“Œ Latest Machine Learning Research From Deepmind Explores The Connection Between Gradient-Based Meta-Learning And Convex Optimization


๐Ÿ“ˆ 32.82 Punkte

๐Ÿ“Œ Latest Artificial Intelligence (AI) Research Brings a brand-New Method Called โ€˜ANGIEโ€™ That Efficiently Records Reusable Co-Speech Gesture Patterns And Fine-Grained Rhythmic Movements


๐Ÿ“ˆ 31.97 Punkte

๐Ÿ“Œ This AI Paper from Google AI Proposes Online AI Feedback (OAIF): A Simple and Effective Way to Make DAP Methods Online via AI Feedback


๐Ÿ“ˆ 31.28 Punkte

๐Ÿ“Œ This AI Paper Proposes CaFo: A Cascade of Foundation Models that Incorporates Diverse Prior Knowledge of Various Pre-Training Paradigms for Better Few-Shot Learning


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper from NVIDIA Proposes Compact NGP (Neural Graphics Primitives): A Machine Learning Framework Corresponding Hash Tables with Learned Probes for Optimal Speed and Compression


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This Paper Proposes a Novel Deep Learning Approach Combining a Dual/Twin Convolutional Neural Network (TwinCNN) Framework to Address the Challenge of Breast Cancer Image Classification from Multi-Modalities


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper Proposes MoE-Mamba: Revolutionizing Machine Learning with Advanced State Space Models and Mixture of Experts MoEs Outperforming both Mamba and Transformer-MoE Individually


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper from China Proposes SGGRL: A Novel Molecular Representation Learning Model based on the Multi-Modals of Molecules for Molecular Property Prediction


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper Proposes COPlanner: A Machine Learning-based Plug-and-Play Framework that can be Applied to any Dyna-Style Model-based Methods


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper from ETH Zurich, Google, and Max Plank Proposes an Effective AI Strategy to Boost the Performance of Reward Models for RLHF (Reinforcement Learning from Human Feedback)


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper from the University of Michigan and Netflix Proposes CLoVe: A Machine Learning Framework to Improve the Compositionality of Pre-Trained Contrastive Vision-Language Models


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This Machine Learning Paper from Microsoft Proposes ChunkAttention: A Novel Self-Attention Module to Efficiently Manage KV Cache and Accelerate the Self-Attention Kernel for LLMs Inference


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper from Microsoft Proposes a Machine Learning Benchmark to Compare Various Input Designs and Study the Structural Understanding Capabilities of LLMs on Tables


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper from UCSD and ByteDance Proposes a Novel Machine Learning Framework for Filtering Image-Text Data by Leveraging Fine-Tuned Multimodal Language Models (MLMs)


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper Proposes a Pipeline for Improving Imitation Learning Performance with a Small Human Demonstration Budget


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ This AI Paper Proposes a Novel Bayesian Deep Learning Model with Kernel Dropout Designed to Enhance the Reliability of Predictions in Medical Text Classification Tasks


๐Ÿ“ˆ 31.14 Punkte

๐Ÿ“Œ C User-Defined Functions vs Library Functions


๐Ÿ“ˆ 30.92 Punkte

๐Ÿ“Œ Zoom Lets Attackers Steal Windows Credentials via UNC Links


๐Ÿ“ˆ 30.72 Punkte

๐Ÿ“Œ Zoom Lets Attackers Steal Windows Credentials, Run Programs via UNC Links


๐Ÿ“ˆ 30.72 Punkte











matomo

Kontakt

24/7 [email protected]

Weitere Informationen

Google Android Playstore Download Button fรผr Team IT Security
๐Ÿ”— Impressum
๐Ÿ”— Datenschutz
Paypal Spenden fรผr Projekt

Social Media

๐Ÿ”— Facebook
๐Ÿ”— Reddit
๐Ÿ”— Team IT Security als Elektron App
๐Ÿ”— © 2015-2023 Team IT Security Nachrichtenportal รผber Cybersecurity
๐Ÿ”— CMS "myDraft" a PHP Portal Software