[Extracted from YouTube's description]<p>Guest speaker Ramy Mounir discusses his recent work on networks that can learn robust representations in an online, streaming task-setting, demonstrating impressive results by taking inspiration from neuroscience and cognitive psychology. His paper 'STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner' was recently accepted at NeurIPS 2023. To learn more about Ramy's work, visit <a href="https://ramymounir.com/" rel="nofollow noreferrer">https://ramymounir.com/</a><p>Papers:
"STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner": <a href="https://openreview.net/pdf?id=EfTMRQn00d" rel="nofollow noreferrer">https://openreview.net/pdf?id=EfTMRQn00d</a>
"Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring": <a href="https://link.springer.com/article/10.1007/s11263-023-01781-2" rel="nofollow noreferrer">https://link.springer.com/article/10.1007/s11263-023-01781-2</a>