Search Results for author: Martin Wattenberg

Found 14 papers, 8 papers with code

An Interpretability Illusion for BERT

no code implementations14 Apr 2021 Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda Viégas, Martin Wattenberg

We describe an "interpretability illusion" that arises when analyzing the BERT model.

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

1 code implementation9 Jul 2019 James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda Viegas, Jimbo Wilson

A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs.

Fairness

Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure

1 code implementation4 Mar 2019 Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio, Michael C. Mozer

The Gestalt laws of perceptual organization, which describe how visual elements in an image are grouped and interpreted, have traditionally been thought of as innate despite their ecological validity.

Image Classification

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

1 code implementation5 Sep 2018 Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda Viégas, Martin Wattenberg

Recent success in deep learning has generated immense interest among practitioners and students, inspiring many to learn about this new technology.

Adversarial Spheres

2 code implementations ICLR 2018 Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian Goodfellow

We hypothesize that this counter intuitive behavior is a naturally occurring result of the high dimensional geometry of the data manifold.

TCAV: Relative concept importance testing with Linear Concept Activation Vectors

no code implementations ICLR 2018 Been Kim, Justin Gilmer, Martin Wattenberg, Fernanda Viégas

In particular, this framework enables non-machine learning experts to express concepts of interests and test hypotheses using examples (e. g., a set of pictures that illustrate the concept).

Medical Diagnosis

Direct-Manipulation Visualization of Deep Networks

no code implementations12 Aug 2017 Daniel Smilkov, Shan Carter, D. Sculley, Fernanda B. Viégas, Martin Wattenberg

The recent successes of deep learning have led to a wave of interest from non-experts.

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

4 code implementations TACL 2017 Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean

In addition to improving the translation quality of language pairs that the model was trained with, our models can also learn to perform implicit bridging between language pairs never seen explicitly during training, showing that transfer learning and zero-shot translation is possible for neural translation.

Machine Translation Transfer Learning +1

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