AWS Machine Learning Blog

DECEMBER 12, 2023

Dr. Gupta has publications in top journals/conferences such as Neurips, ICLR, ICML, Nature, IEEE Control Society, ACM cyber-physical society. an AI start-up, and worked as the CEO and Chief Scientist in 2019-2021. Ben Snyder is an applied scientist with AWS Deep Learning. He founded StylingAI Inc.,

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AWS Machine Learning Blog

OCTOBER 30, 2023

In 2021, he presented a paper on adversarial neural networks at the ICLR conference. He is an active researcher in machine learning and statistical inference, and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences. He is interested in the confluence of machine learning with cloud computing.

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AWS Machine Learning Blog

FEBRUARY 9, 2023

We use the TimeRangeFilter to select data from January 2021 to July 2022. The water surface area clearly decreased between February 2021 and July 2022. We will use the following code to specify the location and timeframe for satellite data. However, the area we are studying may be obscured by clouds. findContours(water_mask, cv2.RETR_TREE,

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AWS Machine Learning Blog

DECEMBER 20, 2023

His PhD is from Duke University and he has published papers in NeurIPS, Cell, and Neuron. In 2021, he presented a paper on adversarial neural networks at the ICLR conference. He is an active researcher in machine learning and statistical inference, and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences.

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ML @ CMU

MARCH 30, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. The stages of evaluation are adapted from Doshi-Velez and Kim (2017); we introduce an additional stage, use-case-grounded algorithmic evaluations, in a recent Neurips 2022 paper [ 2 ]. NeurIPS, 2022. Johnson, N.,

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Bugra Akyildiz

DECEMBER 3, 2022

Even though there are some limitations that are outlined in the blog post, the bot is really good and has a large breadth of topics that it can hold intelligible conversations. For models and datasets , checkout out HuggingFace (HF) page: [link].

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Flipboard

JULY 10, 2023

Figure 4: Architecture of fully connected autoencoders (source: Amor, “Comprehensive introduction to Autoencoders,” ML Cheat Sheet , 2021 ). Figure 8: Architecture of variational autoencoder (source: Yadav, “Variational Autoencoders,” Data-Science-Blog , 2022 ). ✓ Access on mobile, laptop, desktop, etc.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Inference example with and without fine-tuning The following table contains the results of the Mistral 7B model fine-tuned with SEC filing documents of Amazon from 2021–2022. He is an active researcher in machine learning and statistical inference, and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences.

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The Stanford AI Lab Blog

OCTOBER 13, 2021

Acknowledgements Thanks to the SAIL blog editors, Pang Wei Koh, and Shiori Sagawa for their helpful feedback on this blog post. This post is based off our ICLR 2021 paper : Selective Classification Can Magnify Disparities Across Groups. arXiv preprint arXiv:2102.10395, 2021. ↩

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The Stanford AI Lab Blog

MARCH 28, 2022

In our recent NeurIPS 2021 paper , we illustrate the challenges in treating interactive coding assignment grading as game playing and introduce the Play to Grade Challenge. This blog post is based on the following paper: “Play to Grade: Testing Coding Games as Classifying Markov Decision Process.”

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Sebastian Ruder

JANUARY 19, 2021

They have also facilitated competitions and benchmarks that evaluate models primarily based on their efficiency such as the SustaiNLP workshop at EMNLP 2020, the Efficient QA competition at NeurIPS 2020, and HULK ( Zhou et al., Consequently, the best systems in the NeurIPS 2020 EfficientQA competition ( Min et al.,

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

He is an active researcher in machine learning and statistical inference, and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences. Ashish Khetan is a Senior Applied Scientist with Amazon SageMaker JumpStart and helps develop machine learning algorithms.

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