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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 ...
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06/06/2023
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
We introduce Inference-Time Intervention (ITI), a technique designed to ...
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05/04/2023
AttentionViz: A Global View of Transformer Attention
Transformer models are revolutionizing machine learning, but their inner...
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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...
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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...
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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 ...
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04/14/2021
An Interpretability Illusion for BERT
We describe an "interpretability illusion" that arises when analyzing th...
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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 ...
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07/09/2019
The What-If Tool: Interactive Probing of Machine Learning Models
A key challenge in developing and deploying Machine Learning (ML) system...
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06/06/2019
Segment Integrated Gradients: Better attributions through regions
Saliency methods can aid understanding of deep neural networks. Recent y...
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06/06/2019
Visualizing and Measuring the Geometry of BERT
Transformer architectures show significant promise for natural language ...
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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...
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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...
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11/30/2017
TCAV: Relative concept importance testing with Linear Concept Activation Vectors
Neural networks commonly offer high utility but remain difficult to inte...
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06/12/2017
SmoothGrad: removing noise by adding noise
Explaining the output of a deep network remains a challenge. In the case...
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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 ...
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03/14/2016