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06/16/2023
Robot Learning with Sensorimotor Pre-training
We present a self-supervised sensorimotor pre-training approach for robo...
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05/24/2023
Refocusing Is Key to Transfer Learning
Transfer learning involves adapting a pre-trained model to novel downstr...
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03/23/2023
Top-Down Visual Attention from Analysis by Synthesis
Current attention algorithms (e.g., self-attention) are stimulus-driven ...
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04/23/2022
Visual Attention Emerges from Recurrent Sparse Reconstruction
Visual attention helps achieve robust perception under noise, corruption...
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11/24/2020
Temporal Action Detection with Multi-level Supervision
Training temporal action detection in videos requires large amounts of l...
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10/16/2020
Auxiliary Task Reweighting for Minimum-data Learning
Supervised learning requires a large amount of training data, limiting i...
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08/10/2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Convolutional Neural Networks (CNNs) are known to rely more on local tex...
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03/31/2020
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Weakly-supervised action localization problem requires training a model ...
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03/27/2020
