machine learning – Page 42 – Andrew Fairless, Ph.D.

What I Read: AutoML, Multi-task learning, Multi-tower models, Ads

By Andrew Fairless on April 20, 2021April 3, 2021

https://medium.com/pinterest-engineering/how-we-use-automl-multi-task-learning-and-multi-tower-models-for-pinterest-ads-db966c3dc99e How we use AutoML, Multi-task learning and Multi-tower models for Pinterest AdsPinterest EngineeringAug 19, 2020Ernest Wang | Software Engineer, Ads Ranking “In this blog post, we explain how keyContinue readingWhat I Read: AutoML, Multi-task learning, Multi-tower models, Ads

What I Read: Rip van Winkle’s Razor, Adaptive Data Analysis

By Andrew Fairless on April 17, 2021April 10, 2021

http://www.offconvex.org/2021/04/07/ripvanwinkle/ Rip van Winkle’s Razor, a Simple New Estimate for Adaptive Data AnalysisSanjeev Arora, Yi ZhangApr 7, 2021 “Can you trust a model whose designer had access to the test/holdoutContinue readingWhat I Read: Rip van Winkle’s Razor, Adaptive Data Analysis

What I Read: Deep learning model compression

By Andrew Fairless on April 10, 2021April 10, 2021

https://rachitsingh.com/deep-learning-model-compression/ Deep learning model compressionRachit SinghWritten March 26, 2021 “Researchers and practitioners have come up with many methods for optimizing neural networks to run faster or with less memory usage.Continue readingWhat I Read: Deep learning model compression

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

Tag: machine learning