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Top news of the week: 17.06.2021.

#CoreNLP
#NLP
#Medium
#weather
#WeatherData

Research

@hugo_larochelle shared
On Jun 14, 2021
RT @mpd37: We are looking for reviewers for ICLR 2022. If you feel like you would like to help with reviewing and haven’t been contacted yet, fill out this form: https://t.co/r0SUSI1aRN @iclr_conf
Open
ICLR-2022 New Reviewer Form

ICLR-2022 New Reviewer Form

Thank you for your interest in volunteering to serve as a reviewer for ICLR 2022. We are looking for new reviewers in deep learning, machine learning, computer vision, natural language ...

@stanfordnlp shared
On Jun 12, 2021
RT @visualcrossing: Are you interested in using Natural Language Processing with #weather data? This new #Medium article shows how to use #WeatherData & #CoreNLP to make intelligent, automated answer solutions that help people get the data that they need with ease. https://t.co/FBTGohOhHT #NLP
Open
How to find weather data using NLP (Natural Language Processing)

How to find weather data using NLP (Natural Language Processing)

Use Natural Language Processing (NLP) to create a Java application that can find weather data based on free form text questions.

@hardmaru shared
On Jun 14, 2021
The Modern Mathematics of Deep Learning A review paper (textbook) on the mathematical analysis of deep learning, with an emphasis on the generalization power of overparametrized neural nets and the role of depth in architectures. https://t.co/praDEEkR0k https://t.co/YgSSM2T3Kk
Open
[R] The Modern Mathematics of Deep Learning

[R] The Modern Mathematics of Deep Learning

I know there are many people in this community who have more experience than I do, I am creating this post to have a discussion on the topic of academic reviewing process and …

@jeremyphoward shared
On Jun 15, 2021
RT @PyTorch: PyTorch 1.9 is here! Highlights include improvements for: - torch.linalg, torch.special, and Complex Autograd - Mobile Interpreter - TorchElastic - The PyTorch RPC framework - APIs for model inference deployment - PyTorch Profiler See full details👇 https://t.co/pATnZRFQkx
Open
PyTorch 1.9 Release, including torch.linalg and Mobile Interpreter

PyTorch 1.9 Release, including torch.linalg and Mobile Interpreter

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

@NVIDIADC shared
On Jun 14, 2021
NVIDIA’s Manuvir Das: The Future of Artificial Intelligence in the Enterprise https://t.co/lUagAmygIx via @eWEEKNews
Open
NVIDIA’s Manuvir Das: The Future of Artificial Intelligence in the Enterprise

NVIDIA’s Manuvir Das: The Future of Artificial Intelligence in the Enterprise

Manuvir Das, Head of Enterprise Computing at NVIDIA, discusses the current state and future trends in enterprise artificial intelligence.

@rsalakhu shared
On Jun 16, 2021
New work on Self-supervised Representation Learning for speech recognition: matching/surpassing SOTA approaches for speech recognition, generation, and compression. Paper: https://t.co/p1bV7Xi87u with W. Hsu, B. Bolte, H. Tsai, K. Lakhotia, A. Mohamed https://t.co/SOtdOEUtql
Open
HuBERT: Self-supervised representation learning for speech recognition, generation, and compression

HuBERT: Self-supervised representation learning for speech recognition, generation, and compression

We are releasing pretrained HuBERT speech representation models and code for recognition and generation. By alternating clustering and prediction steps, HuBERT learns to invent discrete ...

@pabbeel shared
On Jun 10, 2021
RT @kimin_le2: Can we learn policies using human feedback without pre-defined rewards efficiently? We find unsupervised RL and off-policy learning can improve the preference-based RL in PEBBLE! 📑Paper: https://t.co/4NqjsWl1SJ 💻Code & video: https://t.co/cdzy6QZayx w/ Laura Smith, @pabbeel https://t.co/OmXO9U9Z8i
Open
Abstract

Abstract

Abstract

@lawrennd shared
On Jun 12, 2021
RT @MagnusRattray: Postdoc position with my group and @TheAsheLab on probabilistic machine learning over high-resolution spatio-temporal data to address fundamental questions about transcription, translation and development https://t.co/mg2TjNgM9m
Open
Research Associate in probabilistic machine learning for biological systems modelling Oxford Road, Manchester

Research Associate in probabilistic machine learning for biological systems modelling Oxford Road, Manchester

Job reference: BMH-016917 Location: Oxford Road, Manchester Closing date (DD/MM/YYYY): 06/07/2021 Salary: £32,816 to £40,322 per annum (depending on experience) Employment type: …

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