You are all cordially invited to the AMLab seminar on Tuesday October 10 at 16:00 in C3.163, where Peter O’Connor will give a talk titled “Towards Event-Based online Learning”. Afterwards there are the usual drinks and snacks!
Abstract: The world that our brains experience is quite different from the world that most of our ML models experience. Most models in machine learning are now trained by randomly sampling data from some training set, updating the model, then repeating. When temporal data is considered, it is usually split into short sequences, where each sequence is considered to be a sample from some underlying distribution of sequences, which we wish to learn. Humans on the other hand, learn online – we receive a single, never-ending sequence of inputs. Moreover, these inputs come in asynchronously, and rather than representing the state of the world at a given time, represent that some aspect of the state of the world has changed.
In this talk, I’ll discuss some work we are doing close this gap, and allow us to apply the methods used in deep learning to the more natural online-learning setting.