Top-10 Research Papers in AI

Each year scientists from around the world publish thousands of research papers in AI but only a few of them reach wide audiences and make a global impact in the world. Below are the top-10 most impactful research papers published in top AI conferences during the last 5 years. The ranking is based on the number of citations and includes major AI conferences and journals. Explaining and Harnessing Adversarial Examples, Goodfellow et al., ICLR 2015, cited by 6995 One of the first fast ways to generate adversarial examples for neural networks and introduction of adversarial training as a regularization technique. Impact: Exposed an interesting phenomenon where performance of any accurate machine learning model can be significantly reduced by an attacker applying a tiny modification to the input.