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03/29/2023
Queer In AI: A Case Study in Community-Led Participatory AI
We present Queer in AI as a case study for community-led participatory d...
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07/21/2022
Language Model Cascades
Prompted models have demonstrated impressive few-shot learning abilities...
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05/09/2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
Image classification accuracy on the ImageNet dataset has been a baromet...
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03/10/2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
The conventional recipe for maximizing model accuracy is to (1) train mu...
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10/06/2021
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Despite their ability to represent highly expressive functions, deep lea...
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05/20/2020
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Supervised learning in large discriminative models is a mainstay for mod...
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05/20/2020
Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Supervised learning in large discriminative models is a mainstay for mod...
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02/20/2020
Affinity and Diversity: Quantifying Mechanisms of Data Augmentation
Though data augmentation has become a standard component of deep neural ...
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06/21/2019
A Fourier Perspective on Model Robustness in Computer Vision
Achieving robustness to distributional shift is a longstanding and chall...
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06/06/2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Deploying machine learning systems in the real world requires both high ...
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04/04/2019
A Learned Representation for Scalable Vector Graphics
Dramatic advances in generative models have resulted in near photographi...
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06/21/2018
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features
Dialog systems need to understand dynamic visual scenes in order to have...
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06/01/2018