Machine Learning !machinelearning@kbin.social

Machine learning (ML) is a field devoted to understanding and building meth

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What's In My Big Data?

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks

Demystifying CLIP Data

GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems

PaLI-3 Vision Language Models: Smaller, Faster, Stronger

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Language Modeling Is Compression

Scaling Vision-Language Models with Sparse Mixture of Experts

Hydra-MoE: A new class of Open-Source Mixture of Experts

Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning Tasks

Foundational Models Defining a New Era in Vision: A Survey and Outlook

Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

Vision Language Transformers: A Survey

SeamlessM4T: Multimodal Model for Speech Translation

Hugging Face Releases IDEFICS: An Open-Access 80B Visual Language Model Replicating DeepMind's Flamingo

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use

Real-Time Radiance Field Rendering

Machine Learning Beginner Info/Resources