568 citations · 2.2k across the 54 of their papers we have counts for
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2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track
Manoj Acharya, Christopher Kanan
In this technical report, we present our approaches for the continual object detection track of the SODA10M challenge. We adapt ResNet50-FPN as the baseline and try several improve…
Disentangling Transfer and Interference in Multi-Domain Learning
Yipeng Zhang, Tyler L. Hayes, Christopher Kanan
Humans are incredibly good at transferring knowledge from one domain to another, enabling rapid learning of new tasks. Likewise, transfer learning has enabled enormous success in m…
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?
Bidur Khanal, Christopher Kanan
Incorrectly labeled examples, or label noise, is common in real-world computer vision datasets. While the impact of label noise on learning in deep neural networks has been studied…
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov +3
Replay is the reactivation of one or more neural patterns, which are similar to the activation patterns experienced during past waking experiences. Replay was first observed in bio…
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes, Christopher Kanan
In continual learning, a system learns from non-stationary data streams or batches without catastrophic forgetting. While this problem has been heavily studied in supervised image…
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu +25
Learning continually from non-stationary data streams is a long-standing goal and a challenging problem in machine learning. Recently, we have witnessed a renewed and fast-growing…