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02/04/2023
Harnessing Simulation for Molecular Embeddings
While deep learning has unlocked advances in computational biology once ...
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09/15/2022
Layerwise Bregman Representation Learning with Applications to Knowledge Distillation
In this work, we propose a novel approach for layerwise representation l...
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07/13/2022
N-Grammer: Augmenting Transformers with latent n-grams
Transformer models have recently emerged as one of the foundational mode...
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01/31/2022
Step-size Adaptation Using Exponentiated Gradient Updates
Optimizers like Adam and AdaGrad have been very successful in training l...
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12/14/2021
Co-training Transformer with Videos and Images Improves Action Recognition
In learning action recognition, models are typically pre-trained on obje...
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09/10/2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Multi-task learning can leverage information learned by one task to bene...
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10/29/2020
Measuring and Harnessing Transference in Multi-Task Learning
Multi-task learning can leverage information learned by one task to bene...
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02/19/2019