ICLR 2021 - Workshop on "How Can Findings About The Brain Improve AI Systems?" Submission deadline: February 26, 2021 Workshop website: https://iclrbrain2ai.github.io/ Contact: brain2ai.2021@gmail.com The brain comprises billions of neurons organized into an intricate network of highly specialized functional areas. This biological cognitive system can efficiently process vast amounts of multi-modal data to perceive and react to its ever-changing environment. Unlike current AI systems, it does not struggle with domain adaptation, few-shot learning, or commonsense reasoning. Inspiration from neuroscience has benefited AI in the past: modern convolutional networks mimic the deep, nested information flow in visual cortex, and hippocampal replay of previous experiences has brought about experience replay in reinforcement learning. Recent work at the intersection of neuroscience and AI has made progress in directly integrating neuroscientific data with AI systems and has led to learned representations that are more robust to label corruptions, allow for better generalization in some language tasks, and provide new ways to interpret and evaluate what domain-relevant information is learned by deep neural networks. In this workshop, we aim to examine the extent to which insights about the brain can lead to better AI. We will consider the following (non-exhaustive) list of topics for contribution: - Integration of neuroscientific data at different granularities (neural recordings, neuroimaging etc.) to train AI systems - Brain-inspired inductive biases and ML architectures for AI systems - Neuroscientific data as an evaluation metric for AI systems - Mechanistic insight into cognitive functions (vision, language, decision making, attention, etc.) - Limitations of current AI systems in tasks at which humans excel (compositionality, commonsense reasoning, continual learning, few-shot learning, causality, etc.) - Cross-modality and cross-species comparisons of neuroscientific data with respect to benefits to AI - Datasets that can facilitate the transfer of neuroscientific insight to AI Submit at: https://cmt3.research.microsoft.com/BRAIN2AI2021/Submission/Index The workshop will feature a diverse set of topics led by the following invited speakers and panelists (in alphabetical order): 1. Anima Anandkumar, California Institute of Technology 2. David Cox, Harvard University 3. Kenji Doya, Okinawa Institute of Science and Technology Graduate University 4. Allyson Ettinger, University of Chicago 5. Alona Fyshe, University of Alberta 6. Jack Gallant, University of California, Berkeley 7. Andrea Martin, Max Planck Institute for Psycholinguistics 8. Kimberly Statchenfeld, DeepMind 9. Josh Tenenbaum, MIT Formatting Instructions: All submissions must be in PDF format. Submissions are limited to four content pages, including all figures and tables; additional pages containing only references are allowed. You must format your submission using the ICLR 2021 LaTeX style files. Submissions that meaningfully violate the ICLR style (e.g., by decreasing margins or font sizes) or page limits may be rejected without further review. All submissions should be anonymous. The review process is double-blind. We also welcome recently (within the last year) published papers that are within the scope of the workshop (without re-formatting). Already-published papers do not have to be anonymous. They are eligible for a spotlight session and will only have a very light review process. Virtual format: The workshop will be geared towards more dynamic and interactive discussion focused on Q&A sessions. Accepted abstracts and papers will result in, at minimum, a pre-recorded spotlight talk. All presenters will be given live virtual “coffee break” rooms during all breaks in the conference schedule to engage in small group discussions with participants. Discussions around talks will be organized in live virtual “breakout” rooms with similar topics and themes so that workshop attendees and presenters can interact in a less formal, discussion-centric setting. Important Dates: Paper submission deadline: 11:59 PM EST, Feb 26, 2021 Author notification: 11:59 PM EST, Mar 26, 2021 Camera-ready papers due: 11:59 PM EST, Apr 15, 2021 Workshop: May 8, 2021