AI
Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.
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Natural Questions: a Benchmark for Question Answering Research ai.google
, Tom Kwiatkowski, et al., TACL 2019, Jan 2019.
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2021: Vision: NLG Can Help Humanise Data and AI ehudreiter.com
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Writebot docs.writebot.app
A NodeJS library that makes it easier to use GPT-3 by using presets.
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monkeylearn-ruby github.com
Sentiment Analysis, Topic Modelling, Language Detection, Named Entity Recognition via a Ruby based Web API client.
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Debate: Interpretability is necessary for ML youtube.com
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DTD sciencedirect.com
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Conj Rules sciencedirect.com
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Krishnan, et. al. sciencedirect.com
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ALE rss.onlinelibrary.wiley.com
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IG proceedings.mlr.press
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Xu, et. al. proceedings.mlr.press
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Fong, et. al. openaccess.thecvf.com
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Anchors ojs.aaai.org
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FIRM link.springer.com
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ALIME link.springer.com
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LRP journals.plos.org
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GradCAM++ ieeexplore.ieee.org
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CP ieeexplore.ieee.org
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GPDT ieeexplore.ieee.org
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DeepLIFT ieeexplore-ieee-org.ezproxy.libraries.wright.edu
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The Institute for Ethical AI & Machine Learning ethical.institute
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LIME dl.acm.org
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Lou, et. al. dl.acm.org
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BayLIME arxiv.org
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KL-LIME arxiv.org
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ProfWeight arxiv.org
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RISE arxiv.org
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LORE arxiv.org
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TreeSHAP arxiv.org
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SHAP arxiv.org
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IP arxiv.org
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PDA arxiv.org
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Singh, et. al arxiv.org
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MFI arxiv.org
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STA arxiv.org
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Hara, et. al. arxiv.org
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Lei, et. al. arxiv.org
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POIMs academic.oup.com
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G-REX academia.edu
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SVM+P academia.edu
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ExplainD aaai.org
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JAX: Accelerated Machine Learning Research | SciPy 2020 | VanderPlas youtube.com
JAX's core design, how it's powering new research, and how you can start using it.
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Bayesian Programming with JAX + NumPyro — Andy Kitchen youtube.com
Introduction to Bayesian modelling using NumPyro.
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Introduction to JAX youtube.com
Simple neural network from scratch in JAX.
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Deep Learning tutorials with JAX+Flax by Phillip Lippe uvadlc-notebooks.readthedocs.io
A series of notebooks explaining various deep learning concepts, from basics (e.g. intro to JAX/Flax, activiation functions) to recent advances (e.g., Vision Transformers, SimCLR), with translations to PyTorch.
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