computer vision – Page 3 – Andrew Fairless, Ph.D.

What I Read: Multimodal Models

By Andrew Fairless on May 24, 2023May 1, 2023

https://www.kdnuggets.com/2023/03/multimodal-models-explained.html Multimodal Models ExplainedBy Nate RosidiMarch 27, 2023 “…multimodal learning is an exciting new field of AI that seeks to replicate this ability by combining information from multiple models. ByContinue readingWhat I Read: Multimodal Models

What I Read: Competitive Machine Learning

By Andrew Fairless on May 9, 2023March 30, 2023

https://mlcontests.com/state-of-competitive-machine-learning-2022/ The State of Competitive Machine Learning2022 Edition “We summarise the state of the competitive landscape and analyse the 200+ competitions that took place in 2022. Plus a deep diveContinue readingWhat I Read: Competitive Machine Learning

What I Read: Relative representations

By Andrew Fairless on April 18, 2023March 30, 2023

https://arxiv.org/abs/2209.15430 Relative representations enable zero-shot latent space communicationLuca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà “…we propose to adopt pairwise similarities as an alternative data representation,Continue readingWhat I Read: Relative representations

What I Learn: neural scaling, data pruning

By Andrew Fairless on April 11, 2023February 22, 2023

https://arxiv.org/abs/2206.14486 Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos[Submitted on 29 Jun 2022 (v1), last revised 15Continue readingWhat I Learn: neural scaling, data pruning

What I Read: Machines Learn, Teach Basics

By Andrew Fairless on March 21, 2023February 6, 2023

https://www.quantamagazine.org/machines-learn-better-if-we-teach-them-the-basics-20230201/ Machines Learn Better if We Teach Them the BasicsMax G. LevyFebruary 1, 2023 “A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.”

What I Read: Modern AI Art

By Andrew Fairless on March 6, 2023January 9, 2023

https://www.quantamagazine.org/the-physics-principle-that-inspired-modern-ai-art-20230105/ The Physics Principle That Inspired Modern AI ArtAnil AnanthaswamyJanuary 5, 2023 “Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink toContinue readingWhat I Read: Modern AI Art

What I Read: Biases, Saliency

By Andrew Fairless on February 9, 2023December 16, 2022

https://pair.withgoogle.com/explorables/saliency/ Searching for Unintended Biases With SaliencyAstrid Bertrand, Adam Pearce and Nithum ThainDecember 2022 “If there are spurious correlations in the training data, the model might develop unintended biases thatContinue readingWhat I Read: Biases, Saliency

What I Learn: video quality, neural networks

By Andrew Fairless on January 26, 2023December 4, 2022

https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c For your eyes only: improving Netflix video quality with neural networksby Christos G. Bampis, Li-Heng Chen and Zhi LiNetflix Technology BlogNov 14 “Recently, we added another powerful tool toContinue readingWhat I Learn: video quality, neural networks

What I Read: Pre-Trained Models, Robotics

By Andrew Fairless on December 21, 2022November 5, 2022

https://sergeylevine.substack.com/p/general-purpose-pre-trained-models General-Purpose Pre-Trained Models in RoboticsCan we (pre-) train policies to control any robot for any task?Sergey LevineOct 16 “In robotics, learning policies from a small amount of data isContinue readingWhat I Read: Pre-Trained Models, Robotics

What I Read: Zero-Shot, K-Shot Learning

By Andrew Fairless on October 18, 2022September 9, 2022

https://www.datature.io/blog/zero-shot-and-k-shot-learning Comprehensive Guide to Zero-Shot and K-Shot LearningLeonard SoAugust 23, 2022 “Few-shot learning is a type of supervised learning that is intended to rapidly generalise to new tasks containing onlyContinue readingWhat I Read: Zero-Shot, K-Shot Learning

Tag: computer vision