Researcher of Artificial Intelligence, specimen of natural stupidity | Building digital trinkets as | Interested in chess, quizzing, and Indian culture
Historic win for India as our chess contingent wins the 45th #FIDE Chess Olympiad! India has won the Gold in both open and women’s category at Chess Olympiad! Congratulations to our incredible Men's and Women's Chess Teams. This remarkable achievement marks a new chapter in India's sports trajectory. May this success inspire generations of chess enthusiasts to excel in the game.
Congratulations to the Indian men's team for winning the Olympiad with a round to spare, historic performance! Simply awe-inspiring play. Congratulations to @DGukesh and @ArjunErigaisi for their individual results as well!
@FIDE_chess
@anupriya_trip @PrescientDesign @genentech Hey Anupriya, I am a fellow IITR graduate and am soon finishing my PhD. I am very interested in exploring roles at Genentech. Have sent you a request on linkedin. Thanks 🙏
“This paper does not include comparisons with another work on exactly the same fractions of the dataset (25%, 50%, 75% v/s 20%, 40%, 60%, 80%). Even though the trend for this paper is better than the other work, experiments with exactly same fractions are essential.”
Reject.
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations
abs: https://t.co/1l9BZixLNF
CLIP-Lite obtains a +15.4% mAP absolute gain in performance on Pascal VOC classification, and
a +22.1% top-1 accuracy gain on ImageNet
There are moments when you stand there and everything that you have done flashes past you. Today as I took the torch from Respected Shri @narendramodi ji. I looked at the Indian Chess Team. It was “THE MOMENT “ like no other. @FIDE_chess@aicfchess#chennaichessolympiad
(rant) "epochs" are a bug-inducing concept in neural net training and should be avoided in favor of number of iterations. Use of epochs silently functionally distorts training (as datasets change/grow) and decreases code portability (when one wishes to train on different dataset)
In a microcosm full of engine fiends, Vishy Anand's in-depth analysis of the Carlsen versus Nepomniachtchi match is likely to go down in broadcast history as a genuine masterclass, executed with patience, eloquence, and without any computerized suggestions.