Lab41 @_lab41
We’ve coalesced our work under IQT Labs to help understand and de-risk challenges in support of IQT’s national security mission. Follow us at @IqtLabs! iqt.org/labs Menlo Park, CA Joined June 2016-
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Can text mining create new knowledge about #covid19? We explored this question through participation in Kaggle’s CORD-19 Data Science Competition. ow.ly/pxW050A9mB7 #NLP
We've worked with @SRI_Intl the past 2 years to build VOiCES, a speech dataset recorded in realistic acoustic conditions. Learn about the final release of phase 1 and how this dataset can be valuable for researchers working on automatic #speechrecognition. ow.ly/J97d50zKGrd
Lab41's one sentence summary for "AI Feynman: A physics-inspired method for symbolic regression": NN-enhanced physics equation finder via regressive regression. advances.sciencemag.org/content/6/16/e… #IQTLabs #JournalClub #Physics
We're exploring how to use Bidirectional Encoder Representations from Transformers (BERT) to improve machine translation quality estimation. Read our latest blog to learn more about our work using data from the World Machine Translation (WMT) workshop! ow.ly/6ZQH50zajbV
How good is your language translation? Our novel #dataset can help you find out! Read our latest #blog to learn about our project focusing on Russian to English translation from colloquial text. ow.ly/NTBj50yWtVt
Lab41's one sentence summary for "Uncertainty in Structured Prediction": Uncertainty quantification for structured prediction introduces extra complications, but is still predictive of prediction error arxiv.org/abs/2002.07650 #IQTLabs #JournalClub #Uncertainty #NLP #ASR #Ensemble
Robust or private? Check out part II of our model inversion #blog where we discuss how to extend model inversion into large models such as #resnet and large and diverse datasets such as CIFAR10! ow.ly/xQSg50yHNhM
Our latest blog dives into learnings from the Animal-AI Olympics during #NeurIPS 2019, a reinforcement learning competition inspired by animal cognition. ow.ly/xrys50yuHpx
Check out part II of our blog series that dives into lessons learned from fine-tuning Bidirectional Encoder Representations (#BERT) for named entity recognition! gab41.lab41.org/lessons-learne…
Why is #ImageNet considered such a major turning point in deep learning? Our latest blog dives into our collaboration with Alectio to develop processes to improve the quality of any training set, and eventually, train better models with less data. ow.ly/1x4t50y7nsq
Bidirectional Encoder Representations from Transformers (BERT) is a general-purpose model that can be leveraged for nearly every text-based machine learning task! Read our blog to learn how we used the almighty #BERT for named entity resolution ow.ly/JvuX50xYcoI
Check out the latest from High Stakes Design! Explaining: Outlier AI’s Auto-Generated Data Stories link.medium.com/K6wsUWbF52 #artificialintelligence #machinelearning
Interesting read from our colleagues at High Stakes Design! medium.com/high-stakes-de… #dataviz #javascript #cybersecurity #OpenSource
Check out our colleagues discussing Explainable AI in their latest blog post! Come talk to us about this and more at our @NeurIPS booth today! #NeurIPS2019 #ArtificialIntelligence #dataviz #DataScience link.medium.com/gEBIXHKLk2
Come ask us about our available 2020 summer internships at our @NeurIPSConf booth! #NeurIPS2019
I am looking forward to #NeurIPS2019! Let's remind ourselves to use scientific and empirical evidence to back our claims, and to be kind to each other and set a good example to current and future generations : )
To help you plan which posters to check out next week at #NeurIPS2019 , consider using the following page, which lists all subject areas and their corresponding posters, for each poster session: neurips.cc/Conferences/20…
Excited to be at @NeurIPSConf this year! Visit the Lab41 booth to learn about our current ML research! #NeurIPS2019
Interpretability techniques explained in simple terms link.medium.com/robcdpIxB1 #machinelearning #datascience #artificialintelligence
Delip Rao e/σ @deliprao
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