On the effectiveness of task granularity for transfer learning

24 Apr 2018Farzaneh MahdisoltaniGuillaume BergerWaseem GharbiehDavid FleetRoland Memisevic

We describe a DNN for video classification and captioning, trained end-to-end, with shared features, to solve tasks at different levels of granularity, exploring the link between granularity in a source task and the quality of learned features for transfer learning. For solving the new task domain in transfer learning, we freeze the trained encoder and fine-tune a neural net on the target domain... (read more)

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