Looks like AutoML has by far the biggest carbon footprint of most training processes (394,863 CO2e).

​

Emma Strubell:

Are you interested in deep learning for NLP but also concerned about the CO2 footprint of training? You should be! Excited to share our work “Energy and Policy Considerations for Deep Learning in NLP” at @ACL2019_Italy! With @ananya__g and @andrewmccallum. Preprint coming soon.

https://twitter.com/strubell/status/1129408199478661120/photo/1

https://pbs.twimg.com/media/D6x2xN6XsAUV3gU.png

CMATERdb is the pattern recognition database repository created at the ‘Center for Microprocessor Applications for Training Education and Research’ (CMATER) research laboratory, Jadavpur University, Kolkata 700032, INDIA. This database is free for all non-commercial uses.

Dataset Description:

• CMATERdb 3.1.1: Handwritten Bangla numeral database is a balanced dataset of total 6000 Bangla numerals (32×32 RGB coloured, 6000 images), each having 600 images per classs(per digit).
• CMATERdb 3.2.1: Handwritten Devanagari numeral database is a balanced dataset of total 3000 Bangla numerals (32×32 RGB coloured, 3000 images), each having 300 images per classs(per digit).
• CMATERdb 3.4.1: Handwritten Telugu numeral database is a balanced dataset of total 3000 Bangla numerals (32×32 RGB coloured, 3000 images), each having 300 images per classs(per digit).

Links:

GitHub Repository

Download Link

Please acknowledge CMATER explicitly, whenever you use this database for academic and research purposes.

I am interested in federated learning but found the ideas I came up have mostly been studied already such as backdoor in fl, and I don’t think I can just come up with a better solution right now, so I wonder what are some remaining unsolved problems in the area? Thank you!

This video of a Japanese man running 100m in 15.71 seconds made me wonder if it’s possible for humans to run faster on 4 limbs.

This paper has some insights into how one would achieve this biomechanically and prediction for when the 4 limb time would surpass 2 limb.

Do you think it is possible to use RL to learn the fastest human gait as per something like this? And how strong a persons upper body would have to be in order to be faster on 4 limbs?

Just finished attempting to generate Cards Against Humanity cards with an character level LSTM. Here’s the post I wrote up for anyone who’s interested. Naturally there’s some NSFW language in it.

https://medium.com/@ablacklama/cards-against-humanity-card-generation-slightly-nsfw-a9c132d88345

Would love any feedback and suggestions on ways to generate better results.