Ranjodh Singh @_ranjodh_singh
Deep Learning Researcher Joined August 2015-
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Introducing VISSL (vissl.ai) - a library for reproducible, SOTA self-supervised learning for computer vision! Over 10 methods implemented, 60 pre-trained models, 15 benchmarks, and counting.
I am starting a blog series. I made sure that a layman should be able to understand and an experienced person gets the overall idea about the problem at hand share if you find relevant ritwikm.medium.com/data-leaks-by-…
GitHub CLI 1.0 is here 🎉 Take GitHub to the command line and interact with repositories, issues, pull requests, releases, and more. ✓ Free and open source ✓ Available for macOS, Windows, Linux ✓ GitHub Enterprise Server supported Download it now: github.blog/2020-09-17-git…
✨📄 Are you intending to submit a publication for review at an upcoming academic conference? This deck from @MIT's Bill Freeman is an excellent guide: billf.mit.edu/sites/default/… It irks me that these practices are not universally taught in *all* undergraduate & graduate schools.
How EIA 2020 will Damage India! | Dhruv Rathee youtu.be/tWCjhj035WY via @YouTube
Introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We're releasing a tool for everyone to explore the generated samples, as well as the model and code: openai.com/blog/jukebox/
PyTorch introduces native automatic mixed precision training. No need to compile apex anymore 😎 lnkd.in/dFHG7JS #pytorch #datascience #python #machinelearning #deeplearning lnkd.in/dSvKwH4
Excited (in my 1st tweet ever!) to announce Adversarial NLI: a new large-scale benchmark dataset for NLU, and a challenge to the community. Great job by @EasonNie, together with @adinamwilliams @em_dinan @mohitban47 and @jaseweston. arxiv.org/abs/1910.14599
Registration link register.comp.nus.edu.sg/BigMM2019/ for @IEEEBigMM19 is working now. Early-bird registration for authors is August 1, 2019 and that for other attendees is August 4, 2019. Looking forward to seeing you at @NUSComputing, Singapore.
XLNet: a new pretraining method for NLP that significantly improves upon BERT on 20 tasks (e.g., SQuAD, GLUE, RACE) arxiv: arxiv.org/abs/1906.08237 github (code + pretrained models): github.com/zihangdai/xlnet with Zhilin Yang, @ZihangDai, Yiming Yang, Jaime Carbonell, @rsalakhu
EfficientNets: a family of more efficient & accurate image classification models. Found by architecture search and scaled up by one weird trick. Link: arxiv.org/abs/1905.11946 Github: bit.ly/30UojnC Blog: bit.ly/2JKY3qt
"Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift" Charles et. al arxiv.org/abs/1901.09455
"Off-Policy Deep Reinforcement Learning without Exploration", Scott et. al arxiv.org/abs/1812.02900
Deep Gaussian Processes with Importance-Weighted Variational Inference arxiv.org/abs/1905.05435
Microsoft’s Space Partition Tree And Graph (SPTAG), now available on @github, takes advantage of vectors to search through billions of pieces of info in milliseconds: aka.ms/AA52hxp
Neural Transfer Learning for Natural Language Processing (PhD thesis) ruder.io/thesis/
Deep Learning for NLP Best Practices ruder.io/deep-learning-…

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