Source: ML Collective "Progress toward democratizing AI research has been centered around making knowledge (e.g. class materials), established ideas (e.g. papers), and technologies (e.g. code) more accessible. However, open, online resources are only part of the equation. Growth as a researcher requires not only learning by consuming information individually, but hands-on practice whiteboarding, coding, plotting, … Continue reading ICLR 2021 SOCIAL: OPEN COLLABORATION IN ML RESEARCH
ML Research
PAPERS WITH ANNOTATIONS
MLT Co-Director Alisher Abdulkhaev shares his Papers with Annotations. This project compiles multiple (AI related) papers with illustrations, annotations, and brief explanations of technical keywords, terms and previous studies which makes it easy to read the paper and follow the main idea. Object detection papers with annotationsAI and Cognitive Science related papers with annotations Please … Continue reading PAPERS WITH ANNOTATIONS
DLPOTW: LANGUAGE MODELS ARE FEW-SHOT LEARNERS
Deep Learning paper of the week.