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01/05/2023
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
Current dataset collection methods typically scrape large amounts of dat...
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01/20/2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Model pre-training is a cornerstone of modern visual recognition systems...
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12/23/2021
EIFFeL: Ensuring Integrity for Federated Learning
Federated learning (FL) enables clients to collaborate with a server to ...
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03/22/2021
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
Machine-learning systems such as self-driving cars or virtual assistants...
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11/12/2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Few-shot learners aim to recognize new object classes based on a small n...
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10/11/2019
Privacy-Preserving Contextual Bandits
Contextual bandits are online learners that, given an input, select an a...
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06/27/2016
