The workshop will focus on three interconnected topics of particular relevance to Machine Learning:
In addition to having three sub-sessions with four speakers each (1 hour total per sub-session), we will be hosting a poster session, as well as three interactive Panel Discussions. The first panel is an Ask a Neuro / Cognitive Scientist, a Q&A session where where the audience (mostly machine learning scientists) can ask questions to expert scientists about any topic ranging from theories of human learning to representations in visual cortex and critical differences between deep neural networks and the human visual system. The second panel is targeted to international undergraduate students whose participation in machine learning venues such as NeurIPS has substantially increased in recent years. In this second panel, we will have a group of Graduate Students who are willing to share their experiences as cross-disciplinary students (e.g., neuroscience and machine learning), in addition to providing some tips and tricks on graduate school admissions. The final panel is a discussion/debate between the audience i.e., the ML community and a group of panelists/speakers (behavioral and brain scientists) who will exchange ideas on the aspects that will be crucial for developing effective artificial intelligence.