Early Learning Shapes Later Directions Of Representation Change In Continual Learning
It is suggested that early experience leaves a persistent geometric imprint on how neural networks adapt to future tasks.
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
It is suggested that early experience leaves a persistent geometric imprint on how neural networks adapt to future tasks.
Pretrained vision embeddings are increasingly used as general-purpose representations for modelling how people appraise urban scenes, and are validated almost entirely by how well they predict human ratings. High predictive accuracy does not establish that these embeddings organise scenes as human perception does. We t...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.