| Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning TR Scott, K Ridgeway, MC Mozer Advances in Neural Information Processing Systems, 76-85, 2018 | 109 | 2018 |
| von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning TR Scott, AC Gallagher, MC Mozer IEEE/CVF International Conference on Computer Vision, 2021 | 43 | 2021 |
| Stochastic Prototype Embeddings TR Scott, K Ridgeway, MC Mozer ICML Workshop on Uncertainty and Robustness in Deep Learning, 2019 | 11 | 2019 |
| Online Unsupervised Learning of Visual Representations and Categories M Ren, TR Scott, ML Iuzzolino, MC Mozer, R Zemel arXiv preprint arXiv:2109.05675, 2021 | 5 | 2021 |
| Multitask learning via interleaving: A neural network investigation D Mayo, TR Scott, M Ren, G Elsayed, K Hermann, M Jones, M Mozer Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 4 | 2023 |
| Learning in Temporally Structured Environments M Jones, TR Scott, M Ren, GF Elsayed, K Hermann, D Mayo, MC Mozer The Eleventh International Conference on Learning Representations, 2022 | 3 | 2022 |
| An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better? TR Scott, T Liu, MC Mozer, AC Gallagher arXiv preprint arXiv:2211.05183, 2022 | 1 | 2022 |
| Neural Network Online Training With Sensitivity to Multiscale Temporal Structure M Jones, D Mayo, T Scott, M Ren, G ElSayed, K Hermann, MC Mozer NeurIPS Workshop on Memory in Artificial and Real Intelligence, 2022 | 1 | 2022 |
| Unifying Few- and Zero-Shot Egocentric Action Recognition TR Scott, M Shvartsman, K Ridgeway CVPR Workshop on Egocentric Perception, Interaction, and Computing, 2020 | 1 | 2020 |
| Human-like Learning in Temporally Structured Environments M Jones, TR Scott, MC Mozer Proceedings of the AAAI Symposium Series 3 (1), 553-553, 2024 | | 2024 |
| Deep Visual Representation Learning for Classification and Retrieval: Uncertainty, Geometry, and Applications TR Scott University of Colorado at Boulder, 2023 | | 2023 |
| Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention DYJ Kim, TR Scott, D Mallick, M Mozer AIED Workshop on Intelligent Textbooks, 2021 | | 2021 |
Michael MozerGoogle DeepMind; University of ColoradoEmail verificata su colorado.edu
