CLLGApr 26, 2019

Think Again Networks and the Delta Loss

arXiv:1904.11816v22 citations
Originality Synthesis-oriented
AI Analysis

This work proposes a new abstraction for state-dependent functions, but appears incremental as it builds on existing recurrent neural network concepts without clear application or impact.

The paper introduces Think Again Networks (ThinkNet), an abstraction for state-dependent functions like recurrent neural networks, but does not specify a concrete problem tackled or results achieved.

This short paper introduces an abstraction called Think Again Networks (ThinkNet) which can be applied to any state-dependent function (such as a recurrent neural network).

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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