Key AI Research Papers
Explore foundational and influential research papers in Artificial Intelligence.
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, et al. (2017)
The paper that introduced the Transformer model, a foundational architecture for modern AI.
Read PaperBERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova (2018)
Introduced BERT, a powerful language representation model based on Transformers.
Read PaperImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton (2012)
A seminal paper that demonstrated the power of deep convolutional neural networks for image classification.
Read PaperGenerative Adversarial Nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al. (2014)
Introduced Generative Adversarial Networks (GANs), a framework for estimating generative models.
Read PaperPlaying Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, et al. (2013)
A landmark paper demonstrating deep reinforcement learning on Atari games.
Read Paper