4 citations · 9 across the 12 of their papers we have counts for
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cs.LG2022
HyperInvariances: Amortizing Invariance Learning
Ruchika Chavhan, Henry Gouk, Jan Stühmer +1
Providing invariances in a given learning task conveys a key inductive bias that can lead to sample-efficient learning and good generalisation, if correctly specified. However, the…
cs.CV2022
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan +3
We tackle the novel problem of incremental unsupervised domain adaptation (IDA) in this paper. We assume that a labeled source domain and different unlabeled target domains are inc…