Search Results for author: Candace Ross

Found 11 papers, 4 papers with code

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

no code implementations25 Nov 2023 Nicholas Lui, Bryan Chia, William Berrios, Candace Ross, Douwe Kiela

In this work, we demonstrate that diffusion models can be leveraged to create such a dataset.


FACET: Fairness in Computer Vision Evaluation Benchmark

no code implementations ICCV 2023 Laura Gustafson, Chloe Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross

We present a new benchmark named FACET (FAirness in Computer Vision EvaluaTion), a large, publicly available evaluation set of 32k images for some of the most common vision tasks - image classification, object detection and segmentation.

Fairness Image Classification +3

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity

no code implementations11 Aug 2023 Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero Soriano

The unprecedented photorealistic results achieved by recent text-to-image generative systems and their increasing use as plug-and-play content creation solutions make it crucial to understand their potential biases.

Benchmarking Image Generation

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers

no code implementations16 Feb 2023 Melissa Hall, Bobbie Chern, Laura Gustafson, Denisse Ventura, Harshad Kulkarni, Candace Ross, Nicolas Usunier

These metrics successfully incentivized performance improvements on person-centric tasks such as face analysis and are used to understand risks of modern models.

Fairness Multi-Label Image Classification +1

Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities

no code implementations26 Jan 2023 Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross

With these capabilities in mind, we ask: Do vision-language models exhibit gender bias when performing zero-shot image classification, object detection and semantic segmentation?

Image Classification object-detection +4

Perturbation Augmentation for Fairer NLP

1 code implementation25 May 2022 Rebecca Qian, Candace Ross, Jude Fernandes, Eric Smith, Douwe Kiela, Adina Williams

Unwanted and often harmful social biases are becoming ever more salient in NLP research, affecting both models and datasets.


Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

2 code implementations CVPR 2022 Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross

We present a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning, which we call Winoground.

Visual Reasoning

CM3: A Causal Masked Multimodal Model of the Internet

no code implementations19 Jan 2022 Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

We introduce CM3, a family of causally masked generative models trained over a large corpus of structured multi-modal documents that can contain both text and image tokens.

Entity Disambiguation Entity Linking

Learning a natural-language to LTL executable semantic parser for grounded robotics

no code implementations7 Aug 2020 Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu

We take a step toward robots that can do the same by training a grounded semantic parser, which discovers latent linguistic representations that can be used for the execution of natural-language commands.

Measuring Social Biases in Grounded Vision and Language Embeddings

1 code implementation NAACL 2021 Candace Ross, Boris Katz, Andrei Barbu

We generalize the notion of social biases from language embeddings to grounded vision and language embeddings.

Word Embeddings

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