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09/12/2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Leveraging multimodal information from biosignals is vital for building ...
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03/15/2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
We propose Dataset Reinforcement, a strategy to improve a dataset once s...
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03/08/2023
FastFill: Efficient Compatible Model Update
In many retrieval systems the original high dimensional data (e.g., imag...
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10/08/2022
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Recent advances in learning aligned multimodal representations have been...
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12/06/2021
Forward Compatible Training for Representation Learning
In visual retrieval systems, updating the embedding model requires recom...
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06/30/2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Knowledge distillation has been used to transfer knowledge learned by a ...
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01/09/2020
Least squares binary quantization of neural networks
Quantizing weights and activations of deep neural networks results in si...
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12/20/2017
