machine learning – Page 41 – Andrew Fairless, Ph.D.

What I Read: Exploiting machine learning pickle files

By Andrew Fairless on April 4, 2021March 21, 2021

https://blog.trailofbits.com/2021/03/15/never-a-dill-moment-exploiting-machine-learning-pickle-files/ Never a dill moment: Exploiting machine learning pickle filesMarch 15, 2021By Evan Sultanik “we discuss the underhanded antics that can occur simply from loading an untrusted pickle file orContinue readingWhat I Read: Exploiting machine learning pickle files

What I Read: Generalization in Deep Learning

By Andrew Fairless on March 31, 2021April 3, 2021

https://ai.googleblog.com/2021/03/a-new-lens-on-understanding.html A New Lens on Understanding Generalization in Deep LearningWednesday, March 10, 2021Hanie Sedghi, Google Research and Preetum Nakkiran, Harvard University “…we find that models that train quickly on infiniteContinue readingWhat I Read: Generalization in Deep Learning

What I Read: Reducing High Cost of Training NLP Models

By Andrew Fairless on March 29, 2021April 3, 2021

https://www.asapp.com/blog/reducing-the-high-cost-of-training-nlp-models-with-sru/ Reducing the High Cost of Training NLP Models With SRU++By Tao Lei, PhDResearch Leader and Scientist at ASAPP “The Transformer architecture was proposed to accelerate model training in NLP….Continue readingWhat I Read: Reducing High Cost of Training NLP Models

What I Read: Language Model Fine-tuning

By Andrew Fairless on March 26, 2021March 7, 2021

https://ruder.io/recent-advances-lm-fine-tuning/ Recent Advances in Language Model Fine-tuningThis article provides an overview of recent methods to fine-tune large pre-trained language models.Sebastian Ruder24 Feb 2021 “While pre-training is compute-intensive, fine-tuning can beContinue readingWhat I Read: Language Model Fine-tuning

What I Read: Data Quality Management

By Andrew Fairless on March 24, 2021March 7, 2021

https://medium.com/dataseries/inside-the-architecture-powering-data-quality-management-at-uber-543d5e00ad19 Inside the Architecture Powering Data Quality Management at UberData Quality Monitor implements novel statistical methods for anomaly detection and quality management in large data infrastructures.Jesus RodriguezFeb 10 “Data qualityContinue readingWhat I Read: Data Quality Management

What I Read: Neural Nets, How Brains Learn

By Andrew Fairless on March 23, 2021March 7, 2021

https://www.quantamagazine.org/artificial-neural-nets-finally-yield-clues-to-how-brains-learn-20210218/ Artificial Neural Nets Finally Yield Clues to How Brains LearnAnil AnanthaswamyContributing WriterFebruary 18, 2021 “The learning algorithm that enables the runaway success of deep neural networks doesn’t work inContinue readingWhat I Read: Neural Nets, How Brains Learn

What I Read: Continual Learning, Amnesia, Neural Networks

By Andrew Fairless on March 22, 2021March 7, 2021

https://medium.com/dataseries/ibm-uses-continual-learning-to-avoid-the-amnesia-problem-in-neural-networks-ae8241e1f3a3 IBM Uses Continual Learning to Avoid The Amnesia Problem in Neural NetworksUsing continual learning might avoid the famous catastrophic forgetting problem in neural networks.Jesus RodriguezJan 25 “Building neural networksContinue readingWhat I Read: Continual Learning, Amnesia, Neural Networks

What I Read: Deep learning, black box

By Andrew Fairless on March 21, 2021March 7, 2021

https://bdtechtalks.com/2021/01/11/concept-whitening-interpretable-neural-networks/ Deep learning doesn’t need to be a black boxBen DicksonJanuary 11, 2021 “The innerworkings of neural networks are often a mystery…. scientists at Duke University propose “concept whitening,” aContinue readingWhat I Read: Deep learning, black box

What I Read: Adversarial generation of extreme samples

By Andrew Fairless on March 19, 2021March 7, 2021

https://aihub.org/2020/10/01/adversarial-generation-of-extreme-samples/ Adversarial generation of extreme samplesby Lucy SmithOctober 1, 2020 “…existing GAN-based methods tend to generate typical samples.. the authors seek to design deep learning-based models that can generate samplesContinue readingWhat I Read: Adversarial generation of extreme samples

What I Read: Where Programming, Ops, AI, and the Cloud are Headed

By Andrew Fairless on March 18, 2021March 7, 2021

https://www.oreilly.com/radar/where-programming-ops-ai-and-the-cloud-are-headed-in-2021/ Where Programming, Ops, AI, and the Cloud are Headed in 2021Following O’Reilly online learning trends to see what’s coming next.By Mike LoukidesJanuary 25, 2021 “Operations staff too frequently assumeContinue readingWhat I Read: Where Programming, Ops, AI, and the Cloud are Headed

Tag: machine learning