What are some recent influential deep learning research papers?
Some recent influential papers include 'Attention is All You Need' by Vaswani et al. and 'BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding' by Devlin et al.
Can you summarize the key contributions of the BERT paper?
The BERT paper introduced a new method for pre-training language representations, allowing models to understand context better by considering both left and right context in all layers.
What are the practical applications of BERT?
BERT is widely used in various NLP tasks such as sentiment analysis, question answering, and named entity recognition.
Are there any other notable papers I should look into?
Yes, you might also want to check out 'GPT-3: Language Models are Few-Shot Learners' and 'EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks'.
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