Abhishek Shah @abhishek_n_shah
Software Engineer, Machine Learning @ Instagram | Dance for fun | NYU Courant | DAIICT https://t.co/40CSIEewKS New York, USA Joined July 2016-
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The best song to illustrate the concept of local optimum vs global optimum :P youtu.be/jv9sDn_2XkI
Our paper titled "Multilingual Bert Post Pretraining Alignment" has been accepted at NAACL 2021. arxiv.org/abs/2010.12547
TIL: If arabic characters are added to an array in java and then if I loop through the array to print the characters, it will automatically print them in reverse order. 🤯🤯stackoverflow.com/questions/2967…
Our recent work proposing a post pretraining on multilingual BERT using novel sentence alignment with contrastive learning to improve performance on XNLI with less parallel data.
Our recent work proposing a post pretraining on multilingual BERT using novel sentence alignment with contrastive learning to improve performance on XNLI with less parallel data.
I would seriously love seeing computers debate instead of humans after seeing top leaders debate like this! Atleast, systems would let opponent system complete the statement properly. And also honestly & cutely reply: "I did not understand that." AI is not the real threat 😂
Please don't add more stress to the life of the international students. There's a lot they are going through, already :(
Please don't add more stress to the life of the international students. There's a lot they are going through, already :(
A very interesting point on empowering citizens versus totalitarian surveillance. Some of the decisions made during emergencies have impacts in longer term and affect our future! ft.com/content/19d903… via @FinancialTimes
1/25 Part 1 - Why does soap work so well on the SARS-CoV-2, the coronavirus and indeed most viruses? Because it is a self-assembled nanoparticle in which the weakest link is the lipid (fatty) bilayer. A two part thread about soap, viruses and supramolecular chemistry #COVID19
Come check out our presentation at #AAAI20 using Elasticsearch as a labeling function (weak labeler) in an iterative fashion! Presenting tomorrow at 930am in Sutton Center following up on work from Snorkel and Data Programming (@HazyResearch, @ajratner, @stevebach)
sites.google.com/view/deep-dial… Tin Kam Ho will be talking about non-trivial questions that are encountered while designing data for making enterprise chatbots. If this interests you, be there where she will discuss tools offered in Watson Assistant to ease this process.
Looking for some light reading? My Ph.D. thesis on 'Identifying Semantic Divergences across Languages' is now available online! cs.umd.edu/~yogarshi/publ…
Learning Implicit Generative Models by Matching Perceptual Features. #iccv2019 Learn more: ibm.co/2on7oM4
We wrote a thing, which is now an #emnlp2019 paper! This is work w/ @MarineCarpuat on identifying lexico-semantic relations across lang.s using weak supervision from English examples + x-lingual transfer via knowledge distillation. Code/data, preprint, tweet summary soon! #emnlp
If you are at ACL 2019 and want to know what we are doing with AMR parsing, please drop by our poster on Rewarding Smatch: Transition Based AMR Parsing with Reinforcement Learning. #acl2019nlp
One of the best talks I have seen on youtube on AI. "Real reward in life is existence or non-existence, everything else is a corollary to that"😇 youtube.com/watch?v=9EN_Ho…
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning arxiv.org/abs/1905.13370
I feel very excited that our short paper titled "Transition-Based AMR Parsing with BERT, Attention and Reinforcement Learning" is accepted at ACL 2019 with Tahira Naseem, Hui Wan, Radu Florian Salim Roukos and @migballesteros. 😇
Does anyone know the Gujarati parallel data resources that are public?

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