Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Last revision Both sides next revision
context [2018/10/15 22:14]
admin
context [2018/11/24 12:13]
admin
Line 227: Line 227:
 (Submitted on 8 Oct 2018 (this version), latest version 12 Oct 2018 (v2)) (Submitted on 8 Oct 2018 (this version), latest version 12 Oct 2018 (v2))
 We propose CAML, a meta-learning method for fast adaptation that partitions the model parameters into two parts: context parameters that serve as additional input to the model and are adapted on individual tasks, and shared parameters that are meta-trained and shared across tasks. We propose CAML, a meta-learning method for fast adaptation that partitions the model parameters into two parts: context parameters that serve as additional input to the model and are adapted on individual tasks, and shared parameters that are meta-trained and shared across tasks.
 +
 +https://​arxiv.org/​abs/​1810.08135 Contextual Topic Modeling For Dialog Systems
 +
 +Our work for detecting conversation topics and keywords can be used to guide chatbots towards coherent dialog.
 +
 +https://​www.nature.com/​articles/​s41467-018-06781-2 Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences