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cs.LG2023
Reward Dropout Improves Control: Bi-objective Perspective on Reinforced LM
Changhun Lee, Chiehyeon Lim
We study the theoretical aspects of Reinforced Language Models (RLMs) from a bi-objective optimization perspective. Specifically, we consider the RLMs as a Pareto optimization prob…
cs.LG2023
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
Kihyuk Yoon, Chiehyeon Lim
In this work, we propose a novel activation mechanism called LayerAct for CNNs. This approach is motivated by our theoretical and experimental analyses, which demonstrate that Laye…