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09/11/2023
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals
Health-related acoustic signals, such as cough and breathing sounds, are...
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07/05/2023
Evaluating AI systems under uncertain ground truth: a case study in dermatology
For safety, AI systems in health undergo thorough evaluations before dep...
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06/11/2023
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
We present Face0, a novel way to instantaneously condition a text-to-ima...
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06/01/2023
Using generative AI to investigate medical imagery models and datasets
AI models have shown promise in many medical imaging tasks. However, our...
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05/09/2023
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning
Cardiovascular diseases (CVDs) are responsible for a large proportion of...
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02/02/2023
Dreamix: Video Diffusion Models are General Video Editors
Text-driven image and video diffusion models have recently achieved unpr...
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12/26/2022
Large Language Models Encode Clinical Knowledge
Large language models (LLMs) have demonstrated impressive capabilities i...
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11/30/2022
Fast Inference from Transformers via Speculative Decoding
Inference from large autoregressive models like Transformers is slow - d...
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10/17/2022
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
We present UniTune, a simple and novel method for general text-driven im...
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07/25/2022
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning
Despite recent advances in natural language understanding and generation...
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07/19/2022
Discovering novel systemic biomarkers in photos of the external eye
External eye photos were recently shown to reveal signs of diabetic reti...
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04/11/2022
TRUE: Re-evaluating Factual Consistency Evaluation
Grounded text generation systems often generate text that contains factu...
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11/04/2021
Flood forecasting with machine learning models in an operational framework
The operational flood forecasting system by Google was developed to prov...
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06/28/2021
Adversarial Robustness of Streaming Algorithms through Importance Sampling
In this paper, we introduce adversarially robust streaming algorithms fo...
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06/14/2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Background: Floods are the most common natural disaster in the world, af...
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11/29/2020
ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach
Floods are among the most common and deadly natural disasters in the wor...
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04/13/2020
Adversarially Robust Streaming Algorithms via Differential Privacy
A streaming algorithm is said to be adversarially robust if its accuracy...
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01/23/2020
Detecting Deficient Coverage in Colonoscopies
Colorectal Cancer (CRC) is a global health problem, resulting in 900K de...
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10/27/2019
Spectral Algorithm for Low-rank Multitask Regression
Multitask learning, i.e. taking advantage of the relatedness of individu...
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07/31/2019
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
Automatic speech recognition (ASR) systems have dramatically improved ov...
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03/17/2019
Audio De-identification: A New Entity Recognition Task
Named Entity Recognition (NER) has been mostly studied in the context of...
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02/13/2019
Differentially Private Learning of Geometric Concepts
We present differentially private efficient algorithms for learning unio...
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01/28/2019
ML for Flood Forecasting at Scale
Effective riverine flood forecasting at scale is hindered by a multitude...
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01/03/2019
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many
Learning hydrologic models for accurate riverine flood prediction at sca...
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03/14/2018
