John Miller | DeepAI

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∙ 06/19/2022

Adversarial Scrutiny of Evidentiary Statistical Software

The U.S. criminal legal system increasingly relies on software output to...

0 Rediet Abebe, et al. ∙

∙ 08/10/2021

Retiring Adult: New Datasets for Fair Machine Learning

Although the fairness community has recognized the importance of data, r...

0 Frances Ding, et al. ∙

∙ 07/20/2021

Improving COVID-19 Forecasting using eXogenous Variables

In this work, we study the pandemic course in the United States by consi...

0 Mohammadhossein Toutiaee, et al. ∙

∙ 07/09/2021

Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

For machine learning systems to be reliable, we must understand their pe...

0 John Miller, et al. ∙

∙ 06/28/2021

Malaria Risk Mapping Using Routine Health System Incidence Data in Zambia

Improvements to Zambia's malaria surveillance system allow better monito...

0 Benjamin M. Taylor, et al. ∙

∙ 02/17/2021

Outside the Echo Chamber: Optimizing the Performative Risk

In performative prediction, predictions guide decision-making and hence ...

0 John Miller, et al. ∙

∙ 01/04/2021

Gaussian Function On Response Surface Estimation

We propose a new framework for 2-D interpreting (features and samples) b...

0 Mohammadhossein Toutiaee, et al. ∙

∙ 04/29/2020

The Effect of Natural Distribution Shift on Question Answering Models

We build four new test sets for the Stanford Question Answering Dataset ...

9 John Miller, et al. ∙

∙ 10/23/2019

Strategic Adaptation to Classifiers: A Causal Perspective

Consequential decision-making incentivizes individuals to adapt their be...

0 John Miller, et al. ∙

∙ 09/29/2019

Test-Time Training for Out-of-Distribution Generalization

We introduce a general approach, called test-time training, for improvin...

8 Yu Sun, et al. ∙

∙ 05/29/2019

Model Similarity Mitigates Test Set Overuse

Excessive reuse of test data has become commonplace in today's machine l...

8 Horia Mania, et al. ∙

∙ 08/25/2018

The Social Cost of Strategic Classification

Consequential decision-making typically incentivizes individuals to beha...

0 Smitha Milli, et al. ∙

∙ 05/25/2018

When Recurrent Models Don't Need To Be Recurrent

We prove stable recurrent neural networks are well approximated by feed-...

1 John Miller, et al. ∙

∙ 10/20/2017

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

We present Deep Voice 3, a fully-convolutional attention-based neural te...

0 Wei Ping, et al. ∙

∙ 10/20/2017

Deep Voice 3: 2000-Speaker Neural Text-to-Speech

We present Deep Voice 3, a fully-convolutional attention-based neural te...

0 Wei Ping, et al. ∙

∙ 09/08/2017

Globally Normalized Reader

Rapid progress has been made towards question answering (QA) systems tha...

0 Jonathan Raiman, et al. ∙

∙ 05/24/2017

Deep Voice 2: Multi-Speaker Neural Text-to-Speech

We introduce a technique for augmenting neural text-to-speech (TTS) with...

0 Sercan Arik, et al. ∙

∙ 02/25/2017

Deep Voice: Real-time Neural Text-to-Speech

We present Deep Voice, a production-quality text-to-speech system constr...

0 Sercan O. Arik, et al. ∙

∙ 06/03/2015

Traversing Knowledge Graphs in Vector Space

Path queries on a knowledge graph can be used to answer compositional qu...

0 Kelvin Guu, et al. ∙

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