Active learning

…evaluation, and partner with machine-learning researchers on active learning and model-ready datasets. The role combines scientific programme leadership, mentoring and cross-team collaboration, with emphasis on improving experimental throughput and turnaround time. The primary work location is 700 Dexter Avenue North, Seattle, with most working hours on site; any remote work must take

…describes the curriculum and its active learning discussion sections, where deliberate choices range from custom dynamical-system simulators to paper exercises and blackboard work. Drawing on two years of teaching, Weissman reflects on which approaches appear to support student learning and the development of the teaching team.

Recent advances in techniques for monitoring and perturbing neural populations have greatly enhanced our ability to study circuits in the brain. In particular, two-photon holographic optogenetics now enables precise photostimulation of experimenter-specified groups of individual neurons, while simultaneous two-photon calcium imaging enables the measurement of ongoing and induced activity across the neural population. Despite the enormous space of potential photostimulation patterns and the time-consuming nature of photostimulation experiments, very little algorithmic work has been done to dete

…researcher annotate behaviors through active learning. Active learning reduces annotation effort by automatically selecting behavioral events whose annotation will maximally improve classification. Instead of playing a video from start to end and simultaneously scoring behavior, the researcher is presented short video clips, each showing a single behavioral event. The events are derived from clustered low

…built on state-of-the-art deep-learning based action segmentation algorithms. We illustrate the capabilities of this open-source toolbox on a broad range of datasets for hum

…by asking observers (N=45) to actively learn associations of (initially) meaningless objects. To this end, a change detection task presented Chinese characters, which were meaningless to our observers. Subsequently, half of the characters were consist

…We used ensemble learning and closed-loop experiments with active learning to train a DNN model to accurately predict V4 responses. However, our model had 90

…overcome this obstacle by introducing active learning methods for discrete latent variable models of decision-making. Active learning seeks to improve the efficiency of experiments by selecting highly informative stimul