Fernanda Viegas | DeepAI

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∙ 06/09/2023

Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model

Latent diffusion models (LDMs) exhibit an impressive ability to produce ...

0 Yida Chen, et al. ∙

∙ 06/06/2023

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

We introduce Inference-Time Intervention (ITI), a technique designed to ...

0 Kenneth Li, et al. ∙

∙ 05/04/2023

AttentionViz: A Global View of Transformer Attention

Transformer models are revolutionizing machine learning, but their inner...

0 Catherine Yeh, et al. ∙

∙ 05/04/2023

The System Model and the User Model: Exploring AI Dashboard Design

This is a speculative essay on interface design and artificial intellige...

0 Fernanda Viegas, et al. ∙

∙ 01/28/2023

Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook

Artificial intelligence (AI) presents new challenges for the user experi...

0 Nur Yildirim, et al. ∙

∙ 10/24/2022

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Language models show a surprising range of capabilities, but the source ...

0 Kenneth Li, et al. ∙

∙ 04/14/2021

An Interpretability Illusion for BERT

We describe an "interpretability illusion" that arises when analyzing th...

0 Tolga Bolukbasi, et al. ∙

∙ 12/01/2020

"A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity?

Algorithmic systems are increasingly deployed to make decisions in many ...

0 Allison Woodruff, et al. ∙

∙ 07/09/2019

The What-If Tool: Interactive Probing of Machine Learning Models

A key challenge in developing and deploying Machine Learning (ML) system...

2 James Wexler, et al. ∙

∙ 06/06/2019

Segment Integrated Gradients: Better attributions through regions

Saliency methods can aid understanding of deep neural networks. Recent y...

0 Andrei Kapishnikov, et al. ∙

∙ 06/06/2019

Visualizing and Measuring the Geometry of BERT

Transformer architectures show significant promise for natural language ...

13 Andy Coenen, et al. ∙

∙ 02/08/2019

Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making

Machine learning (ML) is increasingly being used in image retrieval syst...

0 Carrie J. Cai, et al. ∙

∙ 09/05/2018

GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

Recent success in deep learning has generated immense interest among pra...

8 Minsuk Kahng, et al. ∙

∙ 11/30/2017

TCAV: Relative concept importance testing with Linear Concept Activation Vectors

Neural networks commonly offer high utility but remain difficult to inte...

0 Been Kim, et al. ∙

∙ 06/12/2017

SmoothGrad: removing noise by adding noise

Explaining the output of a deep network remains a challenge. In the case...

0 Daniel Smilkov, et al. ∙

∙ 11/14/2016

Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

We propose a simple solution to use a single Neural Machine Translation ...

0 Melvin Johnson, et al. ∙

∙ 03/14/2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

TensorFlow is an interface for expressing machine learning algorithms, a...

0 Martín Abadi, et al. ∙

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