Archives for berkeley

17 Nov

How Goodhart’s Law Can Save Machine Learning

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image-17665

“When a measure becomes a target, it ceases to be a good measure.” GoodHart’s Law Stochastic Gradient Descent (SGD) has been responsible for many of the most outstanding achievements in machine learning. The objective of SGD is to optimise a target in the form of a loss function. But SGD fails in finding ‘standard’ loss…

The post How Goodhart’s Law Can Save Machine Learning appeared first on Analytics India Magazine.

21 Sep

Does It Matter If Neural Networks Memorize Data Unintentionally? 

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image-7182

The privacy issues posed by the deployment of machine learning models are garnering a lot of attention nowadays. The data used to train the model is being exploited or has the potential to be exploited. It can be training of an NLP model using emails or training of a convolutional neural network using images.   These…

The post Does It Matter If Neural Networks Memorize Data Unintentionally?  appeared first on Analytics India Magazine.

04 Jul

7 Most Exciting Deep Learning Papers Presented At ICLR 2019

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image-5549

The International Conference on Learning Representations (ICLR) is one of the highly regarded deep learning conferences conducted every year at the end of spring. The 2019 edition witnessed over fifteen hundred submissions of which 524 papers were accepted. ICLR considers a variety of topics for the conference, such as: Feature learning Metric learning Compositional modelling…

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