Browsing: Yannic Kilcher
Abstract: There has been substantial recent controversy surrounding the use of the acronym “NIPS” for the Neural Information Processing Systems…
Abstract: We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent…
Abstract: Training Deep Neural Networks is complicated by the fact that the distribution of each layer’s inputs changes during training,…
A look at OpenAI’s new GPT-2 model and the surrounding controversy. Abstract: Natural language processing tasks, such as question answering,…
Abstract: We introduce a new family of deep neural network models. Instead of specifying a discrete sequence of hidden layers,…
Abstract: We investigate conditions under which test statistics exist that can reliably detect examples, which have been adversarially manipulated in…
TL;DR: – There exists both an unequal representation of people in the AI workforce as well as examples of societal…
Abstract: Deep autoregressive sequence-to-sequence models have demonstrated impressive performance across a wide variety of tasks in recent years. While common…
Short opinion on Pantene’s tool to de-bias Google search results. source
Abstract: Deep reinforcement learning (RL) methods have driven impressive advances in artificial intelligence in recent years, exceeding human performance in…