NeurIPS 2020 Mutual exclusivity as a challenge for deep neural networks Meta Review The paper received mixed reviews from four reviewers. All the reviewers generally agree the paper is interesting and exposes an interesting research direction, which comes naturally to humans, but is currently lacking in most modern machine learning systems today. The main concerns raised by the reviewers are due to synthetic data and a missing concrete proposal for how to incorporate mutual exclusivity into the model as an
An approach to generating networks with given frequency of second order connection motifs
NeurIPS Proceedings Search Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity Aria Wang, Michael Tarr, Leila Wehbe Advances in Neural Information Processing Systems 32 (NeurIPS 2019) Abstract Convolutional neural networks (CNNs) trained for object classification have been widely used to account for visually-driven neural responses in both human and primate brains. However, because of the generality and complexity of object classification, despite the effectiveness
Ensemble learning has proven effective in improving predictive performance and estimating uncertainty in neural networks. However, conventional ensemble methods often suffer from redundant parameter
Neural Mechanisms Behind Guided Imagery's Effect on Reducing Suicidal Ideation A 2024 Research Analysis. Neural Mechanisms Behind Guided Imagery's
Recent experimental and theoretical studies have highlighted the importance of cell-to-cell differences in the dynamics and functions of neural networks, suc
A neural network in computer vision processes images by learning hierarchical patterns through layers of mathematical op
Technical deep-dive into transformer neural network architecture, self-attention mechanisms, scaling laws, and the evolution from GPT to frontier AI systems powering cognitive computing
ACL Anthology About Announcements Communication channels Related work Copyright Credits Volunteer Development Feedback Using Citing papers Links in the Anthology Data access All FAQs Details Anthology identifiers Names ORCID iDs DOIs Verified authors Contributions Submissions Corrections Author pages Attachments GitHub Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP Yonatan Belinkov , Aaron Mueller , Najoung Kim , Hosein Mohebbi , Hanjie Chen , Dana Arad , Gab
"All media are extensions of some human faculty — psychic or physical." ~Marshall McLuhanFor most of 2024, and especially since publishing my last essay, I’ve been spending quite a bit of time trying to make sense of what we now call “generative AI” and its implications for me personally and for society more broadly. Like many, I’ve been captivated by AI as a creative tool, and have found myself implementing many of these new products into my workflows, particularly for creative writing and m...