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06/07/2023
ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection
As computer vision systems are being increasingly deployed at scale in h...
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05/30/2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
We propose an automated algorithm to stress-test a trained visual model ...
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02/09/2023
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
Sim2Real domain adaptation (DA) research focuses on the constrained sett...
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02/08/2023
Mitigating Bias in Visual Transformers via Targeted Alignment
As transformer architectures become increasingly prevalent in computer v...
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06/16/2022
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Visual domain adaptation (DA) seeks to transfer trained models to unseen...
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04/23/2022
Can domain adaptation make object recognition work for everyone?
Despite the rapid progress in deep visual recognition, modern computer v...
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10/29/2021
UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models
Deep learning models have been shown to learn spurious correlations from...
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07/21/2021
S4T: Source-free domain adaptation for semantic segmentation via self-supervised selective self-training
Most modern approaches for domain adaptive semantic segmentation rely on...
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12/21/2020
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Many existing approaches for unsupervised domain adaptation (UDA) focus ...
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10/16/2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Generalizing deep neural networks to new target domains is critical to t...
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10/07/2019
Open Set Medical Diagnosis
Machine-learned diagnosis models have shown promise as medical aides but...
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11/07/2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis
We consider the problem of image classification for the purpose of aidin...
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10/29/2018
Do Explanations make VQA Models more Predictable to a Human?
A rich line of research attempts to make deep neural networks more trans...
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10/27/2018
Fabrik: An Online Collaborative Neural Network Editor
We present Fabrik, an online neural network editor that provides tools t...
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08/17/2017
Evaluating Visual Conversational Agents via Cooperative Human-AI Games
As AI continues to advance, human-AI teams are inevitable. However, prog...
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05/01/2017
The Promise of Premise: Harnessing Question Premises in Visual Question Answering
In this paper, we make a simple observation that questions about images ...
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04/03/2017