“Vision Transformer Adapters for Generalizable Multitask Learning”
https://arxiv.org/pdf/2308.12372.pdf This paper has been presented at the ICCV'2023 Conference.
Authors : D.
Unlocking New Frontiers in Medical Language Models: Introducing MediTRON-7B
In the ever-evolving landscape of language models, the intersection of technology and healthcare has given rise to groundbreaking advancements. One
Can AI do Math Research ?
by: Pr. Zung NGUYEN
What is AI, how are they built ?
For us, AI means computer programs / machines / algorithms that
Skeleton project with DWPose
Goal
The goal of this project is to predict a user's keypoints in real time and guide them
Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
https://arxiv.org/abs/2208.12242
Authors: Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman
The
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Introduction
In computer vision, creating accurate segmentation masks for images remains a challenging task. Recent advancements in supervised and unsupervised
Computed tomography scan
Principle of scanner aquisition
We have an object or a human being and want to get information about its inside
A Brain-Inspired Reinforcement Learning Mechanism for Pattern Recognition
Milad MOZAFARI
PhD, Research Scientist at Torus AI
November 23rd, 2023
Abstract
The reinforcement learning (RL) mechanism in the mammalian
Main Challenges for Machine Learning in Critical Systems
Grégory FLANDIN
PhD, Program Director at IRT Saint Exupéry
November 9th, 2023
Abstract
Recent progress in Artificial Intelligence, especially in
A step into Machine Unlearning
#MachineUnlearning #Forgetting #DataPrivacy
What is Machine Unlearning ?
Basically, this concept represents the opposite of machine learning : it serves to make
