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12/13/2022
What do Vision Transformers Learn? A Visual Exploration
Vision transformers (ViTs) are quickly becoming the de-facto architectur...
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03/15/2022
A Deep Dive into Dataset Imbalance and Bias in Face Identification
As the deployment of automated face recognition (FR) systems proliferate...
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01/31/2022
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations
Existing techniques for model inversion typically rely on hard-to-tune r...
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01/29/2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
A central tenet of Federated learning (FL), which trains models without ...
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10/13/2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast—Choose Three
Modern neural networks do not always produce well-calibrated predictions...
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02/17/2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Meta-learning algorithms produce feature extractors which achieve state-...
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11/18/2019
