papers | Deep Learning JP - Part 37

マルチエージェント強化学習と⼼の理論〜Hanabiゲームにおけるベイズ推論を⽤いたマルチエージェント強化学習⼿法〜

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Implicit Representations of Meaning in Neural Language Models (ACL2021)

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners (NAACL, 2021)

“Highly accurate protein structure prediction with AlphaFold”

Implicit Representations of Meaning in Neural Language Models (ACL2021)

Incorporating group update for speech enhancement based on convolutional gated recurrent network

TIMs：Transformers with Competitive Ensembles of Independent Mechanisms

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability

Explorable Super Resolution

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