Reading Group: Perceiver IO by Deepmind #7
Details
Perceiver IO builds on top of Perceiver, a model capable of supporting many kinds of inputs (images, audio, multimodal, point clouds), by producing outputs of arbitrary size and semantics instead of simple class scores. Join us to learn more about this recent development by Deepmind!
Make sure to choose your role here - https://share.streamlit.io/deeplearninglisbon/reading-group/reading_group_roles.py 🧙♀️
Our goal is to be up to date with the most recent advances in Deep Learning, by reading and/or discussing a paper every two weeks.
Inspired by Alec Jacobson and Colin Raffel (https://colinraffel.com/blog/role-playing-seminar.html), in our reading groups, everyone must have a role to play! In a session moderated by the mediator, everyone will have the chance to play their role and pose questions to other participants. You can read more about the roles and format of the Reading Group in the link above ⬆️
Hopefully, at the end of every Reading Group, everyone will have a holistic picture of the paper and the topic being discussed.
Add your suggestions or vote on other papers here - https://docs.google.com/spreadsheets/d/12fSacmB_gb4Wv7va20fRYooIpQSMuJkZ_7hDqW8k_t4/edit?usp=sharing!
Reading Group: Perceiver IO by Deepmind #7