| Deep Learning JP - Part 54

Is it Enough to Optimize CNN Architectures on ImageNet?

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning (ICML2019)

Neural Radiance Field (NeRF) の派生研究まとめ

Learning to Reach Goals via Iterated Supervised Learning

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

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Perceiver: General Perception with Iterative Attention

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods

Self-Supervised Policy Adaptation during Deployment

Gated Recurrent Fusion With Joint Training Framework for Robust End-to-End Speech Recognition

Generalized Zero-Shot Learning via Disentangled Representation