Zachary Bamberger

@ZacharyBamberg1

American/Israeli (🇺🇸/🇮🇱), Machine Learning Software Engineer at Google Brain (🧠), Cornell Engineering 2019 (🐻)

Vrijeme pridruživanja: listopad 2019.

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  1. Music recommender systems would predict far more compatible songs for users if there was an option for users to specify a sub-section of a song they particularly like. It's a better reflection of taste, and it reduces input space.

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  2. Graph neural networks are a super cool new paradigm in deep learning, and they have a lot of potential in solving both low level and high level NLP tasks. This paper is definitely worth a read! As usual, it is a pleasure reading papers by .

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    Sometimes the machine learning model learns something, sometimes you learn something about machine learning.

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    13. pro 2019.

    What ngrams most predict outcome Y controlling for confounds C? Blog post & python package. for text via feature selection & adversarial learning. Predict Y from C then predict Y from Y_hat + text. Pull features from trained model weights.

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    28. lis 2019.

    The Schema-Guided Dialogue dataset, is the largest publicly available corpus of multi-domain, task-oriented dialogues for training the next generation of conversational digital assistants. Grab the dataset and learn about the schema-guided approach here ↓

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    12. stu 2019.

    Nice new results from researchers on improving the state-of-the-art on ImageNet! "We...train a...model on...ImageNet...& use it as a teacher to generate pseudo labels on 300M unlabeled images. We then train a larger...model on the...labeled & pseudo labeled images."

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    I’m excited about Alphabet’s long term focus on tackling big challenges through technology. Thanks to Larry & Sergey, we have a timeless mission, enduring values and a culture of collaboration & exploration - a strong foundation we’ll continue to build on

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