[ML News] Uber: Deep Learning for ETA | MuZero Video Compression | Block-NeRF | EfficientNet-X

[ML News] Uber: Deep Learning for ETA | MuZero Video Compression | Block-NeRF | EfficientNet-X

Feb 24, 2022
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#mlnews #muzero #nerf Your regularly irregular updates on everything new in the ML world! Merch: http://store.ykilcher.com OUTLINE: 0:00 - Intro 0:15 - Sponsor: Weights & Biases 2:15 - Uber switches from XGBoost to Deep Learning for ETA prediction 5:45 - MuZero advances video compression 10:10 - Learned Soft Prompts can steer large language models 12:45 - Block-NeRF captures entire city blocks 14:15 - Neural Architecture Search considers underlying hardware 16:50 - Mega-Blog on Self-Organizing Agents 18:40 - Know Your Data (for Tensorflow Datasets) 20:30 - Helpful Things Sponsor: Weights & Biases https://wandb.me/yannic References: https://docs.wandb.ai/guides/integrations/other/openai https://colab.research.google.com/github/wandb/examples/blob/master/colabs/openai/Fine_tune_GPT_3_with_Weights_%26_Biases.ipynb#scrollTo=rJdQqrC8Ablo https://wandb.ai/borisd13/GPT-3/reports/Fine-Tuning-Tips-and-Exploration-on-OpenAI-s-GPT-3---VmlldzoxNDYwODA2 Uber switches from XGBoost to Deep Learning for ETA prediction https://eng.uber.com/deepeta-how-uber-predicts-arrival-times/?utm_source=pocket_mylist MuZero advances video compression https://deepmind.com/blog/article/MuZeros-first-step-from-research-into-the-real-world https://storage.googleapis.com/deepmind-media/MuZero/MuZero%20with%20self-competition.pdf Learned Soft Prompts can steer large language models https://ai.googleblog.com/2022/02/guiding-frozen-language-models-with.html https://aclanthology.org/2021.emnlp-main.243/ Block-NeRF captures entire city blocks https://arxiv.org/abs/2202.05263 https://arxiv.org/pdf/2202.05263.pdf https://waymo.com/intl/zh-cn/research/block-nerf/ Neural Architecture Search considers underlying hardware https://ai.googleblog.com/2022/02/unlocking-full-potential-of-datacenter.html https://openaccess.thecvf.com/content/CVPR2021/papers/Li_Searching_for_Fast_Model_Families_on_Datacenter_Accelerators_CVPR_2021_paper.pdf Mega-Blog on Self-Organizing Agents https://developmentalsystems.org/sensorimotor-lenia/ https://flowers.inria.fr/ Know Your Data (for Tensorflow Datasets) https://knowyourdata-tfds.withgoogle.com/#dataset=pass&filters=kyd%2Fcloud_vision%2Fface_probability:9&tab=RELATIONS&item=train%5B89%25%3A91%25%5D_27143&expanded_groups=cloud_vision https://knowyourdata.withgoogle.com/ Helpful Things https://twitter.com/casualganpapers/status/1490318575873241091 https://www.reddit.com/r/MachineLearning/comments/snmtzn/r_phd_thesis_on_neural_differential_equations/ https://arxiv.org/abs/2202.02435 https://github.com/vicariousinc/PGMax https://www.vicarious.com/posts/pgmax-factor-graphs-for-discrete-probabilistic-graphical-models-and-loopy-belief-propagation-in-jax/?utm_content=197542312&utm_medium=social&utm_source=twitter&hss_channel=tw-204185426 https://diambra.ai/tournaments https://github.com/diambra/diambraArena https://www.youtube.com/watch?v=dw72POyqcqk&t=271s https://gitlab.com/deepcypher/python-fhez https://python-fhez.readthedocs.io/en/latest/ https://joss.theoj.org/papers/10.21105/joss.04101?s=09&utm_source=pocket_mylist https://github.com/PyTorchLightning/metrics https://torchmetrics.readthedocs.io/en/latest/ https://twitter.com/alanyttian/status/1492027524909449221?utm_source=pocket_mylist https://github.com/google/evojax https://arxiv.org/abs/2202.05008 https://www.reddit.com/r/MachineLearning/comments/snod8f/n_gym_now_has_a_documentation_website/?utm_source=dlvr.it&utm_medium=twitter https://www.gymlibrary.ml/pages/api/#initializing-environments Links: TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yannic-kilcher LinkedIn: https://www.linkedin.com/in/ykilcher BiliBili: https://space.bilibili.com/2017636191 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannickilcher Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

0:00 - Intro 0:15 - Sponsor: Weights & Biases 2:15 - Uber switches from XGBoost to Deep Learning for ETA prediction 5:45 - MuZero advances video compression 10:10 - Learned Soft Prompts can steer large language models 12:45 - Block-NeRF captures entire city blocks 14:15 - Neural Architecture Search considers underlying hardware 16:50 - Mega-Blog on Self-Organizing Agents 18:40 - Know Your Data (for Tensorflow Datasets) 20:30 - Helpful Things
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