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We’ve Moved — Check Out Our New Digs!
Our new content may be found as part of the IQT Blog at www.iqt.org/blog. An archive of our blogs will remain here to showcase historical work from Lab41 that took place 2014–2020.
Machine Learning
Data Science
Deep Learning
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We’ve Moved — Check Out Our New Digs!
We’ve Moved — Check Out Our New Digs!
Lab41 coalesced its work under IQT Labs to reflect its continuous evolution of agile, interdisciplinary applied research to understand and…
Christyn Zehnder
Nov 6, 2020
Transfer Learning for Classification in Ultra-small Biomedical Datasets, Part II
Transfer Learning for Classification in Ultra-small Biomedical Datasets, Part II
How many purple neutrophil white blood cells are in the image above? Such a question isn’t just a toy example — counting the number and…
Kinga Dobolyi
Sep 10, 2020
Transfer learning for Classification in Ultra-small Biomedical Datasets
Transfer learning for Classification in Ultra-small Biomedical Datasets
Do you see cancer in the mammogram above? If you’re struggling, don’t worry, you’re not alone. Unlike determining if a photo is of a cat…
Kinga Dobolyi
Sep 2, 2020
VOiCES at Speech Odyssey 2020 — part II: Advances in Speaker Verification
VOiCES at Speech Odyssey 2020 — part II: Advances in Speaker Verification
In collaboration with Jack Berkowitz
Michael Lomnitz
Aug 27, 2020
VOiCES at Speech Odyssey 2020: Advances in Speaker Embeddings
VOiCES at Speech Odyssey 2020: Advances in Speaker Embeddings
In collaboration with Michael Lomnitz
John Berkowitz
Aug 27, 2020
Can Human Judgement Aid Knowledge Discovery Algorithms?
Can Human Judgement Aid Knowledge Discovery Algorithms?
Evaluating BERT to build a scientific sentiment model of sentences
Kinga Dobolyi
Jul 22, 2020
Can Text Mining Create New Knowledge About COVID-19?
Can Text Mining Create New Knowledge About COVID-19?
A View from Kaggle’s CORD-19 Data Science Competition
Kinga Dobolyi
Jun 11, 2020
Latest
VOiCES: The Final Release
VOiCES: The Final Release
Over the past two years Lab41, in collaboration with SRI International, has been hard at work building the Voices Obscured in Complex…
John Berkowitz
May 19, 2020
Learning to Run a Power Network Challenge
Learning to Run a Power Network Challenge
Take a quick look around you. How many electronic devices or plugged-in appliances are nearby? The fact that you’re reading this post…
Zig Hampel
May 4, 2020
Plug-and-play with BERT as a module in Machine Translation Quality Estimation
Plug-and-play with BERT as a module in Machine Translation Quality Estimation
Translating from one language to another is both an art and something that has been investigated scientifically. Mistranslations are…
Kinga Dobolyi
Apr 9, 2020
How good is your translation? Our novel dataset can help you find out
How good is your translation? Our novel dataset can help you find out
Lab41 recently created a novel dataset for the World Machine Translation (WMT) 2020 workshop at the upcoming Conference on Empirical…
Nina Lopatina
Mar 26, 2020
Animal-AI Olympics
Animal-AI Olympics
A reinforcement learning competition inspired by animal cognition.
Lucas Tindall
Feb 24, 2020
Highlights of NeurIPS 2019
Highlights of NeurIPS 2019
Several data scientists from Lab41 attended The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS 2019), in…
John Berkowitz
Jan 31, 2020
Lessons Learned Fine-Tuning BERT for Named Entity Recognition
Do’s and don’ts for fine-tuning on multifaceted NLP tasks
Charlene Chambliss
Jan 30, 2020
Anatomizing ImageNet
Anatomizing ImageNet
How sensitive are ImageNet trained models to simple image transformations?
Arun Ram
Jan 28, 2020
Robust or Private? (Model Inversion Part II)
Robust or Private? (Model Inversion Part II)
In the previous section we discussed how a simple model memorizes averages of data in the weights of the model. This was done with a…
Felipe Mejia
Jan 21, 2020
How to Fine-Tune BERT for Named Entity Recognition
How to Fine-Tune BERT for Named Entity Recognition
Leverage the almighty BERT for your next NLP project
Charlene Chambliss
Jan 17, 2020
Interspeech 2019 VOiCES from a Distance Challenge
Interspeech 2019 VOiCES from a Distance Challenge
Interspeech 2019, held in Graz Austria, saw experts from around the world gathering to discuss some of the most recent advances in…
Michael Lomnitz
Nov 4, 2019
Truth, Trust & Transparency in Synthetic Media
Truth, Trust & Transparency in Synthetic Media
In collaboration with Felipe Mejia and Vishal Sandesara
Michael Lomnitz
Sep 6, 2019
Highlights from ACL 2019 Tutorials
Highlights from ACL 2019 Tutorials
Latent structure models for NLP
Nina Lopatina
Aug 14, 2019
VOiCES: closing one chapter and starting a second
VOiCES: closing one chapter and starting a second
Midway through 2018 Lab41, in collaboration with SRI International, introduced the Voices Obscured in Complex Environmental Settings…
Michael Lomnitz
Aug 6, 2019
Using realistic audio data in Machine Learning
Using realistic audio data in Machine Learning
Lab41, in collaboration with SRI International, recently introduced a speech data-set, Voices Obscured in Complex Environmental…
Nina Lopatina
Jul 25, 2019
Uncovering a model’s secrets (Model Inversion Part I)
Uncovering a model’s secrets (Model Inversion Part I)
Have you ever woken up in the middle of the night after having a terrifying dream that your boss found that embarrassing facebook picture…
Felipe Mejia
Jun 21, 2019
You have one voice, defend it
You have one voice, defend it
Fending off membership inference attacks
Michael Lomnitz
Jun 17, 2019
The Walk of Life Continues
The Walk of Life Continues
Our DNA visualization tool goes online!
Benjamin Lee
Jun 17, 2019
Denoising the VOiCES Dataset
Denoising the VOiCES Dataset
Regular readers of Gab 41 will know that Lab 41 has been studying monaural audio denoising — the removal of noise from audio signals…
Paul Gamble
Jun 14, 2019
RECOMB 2019 Day Three Highlights: Privacy and Precision Health
RECOMB 2019 Day Three Highlights: Privacy and Precision Health
“Data is the new oil.” If you’re like me, you’ve probably heard that cliché a thousand times. Today, Stanford Professor Carlos Bustamante…
Benjamin Lee
Jun 12, 2019
RECOMB 2019 Day Two Highlights: Proteins and Posters
RECOMB 2019 Day Two Highlights: Proteins and Posters
Today is the second day of RECOMB 2019, a conference focusing on computational molecular biology. There were two really interesting
Benjamin Lee
Jun 12, 2019
RECOMB 2019 Day One Highlights: Digital Twins and Deep Structured Phenotype Networks
RECOMB 2019 Day One Highlights: Digital Twins and Deep Structured Phenotype Networks
It’s a great coincidence that this year’s Research in Computational Molecular Biology (RECOMB) conference was held just across the Potomac…
Benjamin Lee
Jun 12, 2019
Entropic Ghosts
Entropic Ghosts
In this post, we investigate methods of redacting information from a machine learning classifier. The topic is inspired by the collection…
Patrick Hagerty
Mar 1, 2019
Detecting Synthetic Biology with Machine Learning
Detecting Synthetic Biology with Machine Learning
B.Next and Lab 41, two In-Q-Tel research labs, set out to answer the following question: Given a DNA sequence, can we use machine…
Paul Gamble
Jan 28, 2019
Membership Inference Attacks On Neural Networks
Membership Inference Attacks On Neural Networks
The past few years have seen a rise in the popularity of machine learning and neural networks. This can be explained by the success they…
Lucas Tindall
Nov 9, 2018
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