aditya

Director-Data Sciences, Glance

[Suresh Pachouri @pachouri_office]

वक़्त है- बदलाव का
अबकी बार- बदल दीजिए
शहर सरकार.
⁦@OfficeOfKNath⁩ ⁦@INCMP⁩
⁦@BabelePiyush⁩

[ACM RecSys @ACMRecSys]

The list of accepted #RecSys2020 tutorials is out! https://t.co/IykZcxJvzy

[Papers with Code @paperswithcode]

🎉 Introducing... Methods! We are now tracking 730+ building blocks of machine learning: optimizers, activations, attention layers, convolutions and much more! Compare usage over time and explore papers from a new perspective. Browse the catalogue here: https://t.co/XGFUzV3ELU

[aditya @Adityapatel2006]

My first blog on privacy in recommendation systems
#privacy #FederatedLearning
@openminedorg

[OpenMined @openminedorg]

#PrivacyPreserving recommendation systems

using #FederatedLearning

Check our blog for part 1: https://t.co/rkC5kQV26L

Join our amazing community!
https://t.co/RLtEtmV76J

[Lex Fridman @lexfridman]

Here's a lecture by Andrew Trask (@iamtrask) on privacy-preserving AI as part of the MIT Deep Learning lecture series. Preserving privacy boosts our ability to do science at a large-scale and to engineer intelligent systems that learn from data: https://t.co/Fp3fXgtfYJ

[Sreenivasan Jain @SreenivasanJain]

RT if you have lost count of the number of times this year you wanted to Tweet 'Black Day' but didn't.

[OpenAI @OpenAI]

We're releasing the 1.5billion parameter GPT-2 model as part of our staged release publication strategy.
- GPT-2 output detection model: https://t.co/PX3tbOOOTy
- Research from partners on potential malicious uses: https://t.co/om28yMULL5
- More details: https://t.co/d2JzaENiks

[Soumith Chintala @soumithchintala]

Learning the sense of smell, as well as mapping them onto continuous spaces.
Exciting investments and initial research by Alex Wiltschko & team at Google
https://t.co/n5J047KyWA

[Michael Maylahn @MichaelMaylahn]

Excited to share that @stasislabs was awarded the "Most Innovative e-ICU Solution for India 2019 🏆" by Frost & Sullivan Awards! Our vision has always been to accelerate proactive patient care and easily convert any bed into a connected care bed. Very proud of our India team!

[Thomas Wolf @Thom_Wolf]

With 180+ papers mentioning 🤗 Transformers and its predecessors, it was high time to put out a real paper that people could cite.

🥳 🎉 https://t.co/gPMT19sA2J

With @LysandreJik @SanhEstPasMoi @julien_c @ClementDelangue @moi_anthony @pierrci @remilouf @MorganFunto @jamieabrew

[aditya @Adityapatel2006]

Exciting Release! https://t.co/FhR7j4DLk6

This will accelerate the machine learning ecosystem.

Congrats to Tensorflow team and to everybody who has contributed! #Tensorflow

[TensorFlow @TensorFlow]

🗣 Attention #TensorFlow community!

We are excited to announce TensorFlow 2.0. Inspired by all of your feedback, this powerful and easy-to-use framework includes tight Keras integration, expanded TF datasets, and more.

Watch @lmoroney present here → https://t.co/bzI1vDZDnV

[aditya @Adityapatel2006]

Interesting read on the current state of recommendation systems and can be extended to entirety of Machine Learning. The research needs to be reproducible to be relevant. https://t.co/MyIaSigamA

[aditya @Adityapatel2006]

Thanks @nasscom . Had a great time sharing learning on building a ML system at scale at @glancescreen

[nasscom events @NasscomEvents]

Aditya Patel, Director, InMobi Group company at the #NasscomTechConf 2019 said "AI recommendations solve the paradox of choice."

[Ian Osband @IanOsband]

Another great paper for understanding generalization properties in the overparameterized regime:

Spectrally-normalized margin bounds for neural networks
https://t.co/mPl690Qg2x
Barlett et al

It does feel like the "dark arts" of neural nets are waning...

[Blume Ventures @BlumeVentures]

Thank you mentors @NatashaJethana1 @gehani @Adityapatel2006 @vinodhtweets, Ashish Awasthi, Gokulvanan Velan, @vinayakh, @alienhedH for helping our #BootstrapParadox coders by adding more clarity to their thought processes and helping them think beyond algorithms

[Jeffrey De Fauw @JeffreyDeFauw]

Hierarchically stacking discrete autoencoders to allow likelihood models to capture long-range structure in images, new paper with @sedielem and Karen. We generate realistic images at 128x128 and 256x256!

Paper: https://t.co/u3o7eXYs16

Samples: https://t.co/mDQ9Bq1wum

[Jack Kelly (@jack-kelly.com on Bluesky) @jack_kelly]

I left Google DeepMind to build a non-profit research lab focused on helping to fix climate change ASAP. Very open and collaborative. Everything open-source. Focus on practical, scalable interventions, starting with forecasting solar PV. https://t.co/llP6tm5iK0

[Reza Zadeh @Reza_Zadeh]

Deep Learning cheatsheets covering the content of Stanford's CS 230 class. Well done and clear by @shervinea.

Feed forward: https://t.co/xxwcghQ95g
Recurrent: https://t.co/Oshl7Z4C6Q
More tips: https://t.co/wOLdvlnmns

[Hilary Mason @hmason]

Data scientists! Before putting something in production do you do:

[Kavi / Natasha @LeisureMaverick]

#AI-based remote patient monitoring solution Stasis is changing healthcare in #India
@dseemakurty @MichaelMaylahn

Stasis completed 2 usability studies funded by #Worldbank; is used by 50 hospitals & is expanding in metros in India

#ArtificialIntelligence https://t.co/6BMG7Tthvm