Love, B. C. & Roads, B. D. (2020). Similarity as a Window on the Dimensions of Object Representation. Trend in Cognitive Sciences. doi: https://doi.org/10.1016/j.tics.2020.12.003 [ link ] |
Attarian, M., Roads, B. D., & Mozer, M. C. (2020). Transforming neural network representations to predict human judgments of similarity. Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM 2020). [ arXiv ] |
Roads, B. D. & Love, B. C. (2020). Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings. arXiv. [ arXiv ] |
Roads, B. D. & Love, B. C. (2020). Learning as the unsupervised alignment of conceptual systems. Nature Machine Intelligence. doi: 10.1038/s42256-019-0132-2 [ Link ] [ arXiv ] |
Roads, B. D. & Mozer, M. C. (in preparation). Using human-surrogate models to optimize training sequences during visual category training. |
Roads, B. D. & Mozer, M. C. (in preparation). Using enriched training environments for visual category training. |
Snell, J., Ridgeway, K., Liao, R., Roads, B. D., Mozer, M. C., & Zemel, R. S. (2017). Learning to generate images with perceptual similarity metrics. Accepted for publication in IEEE International Conference on Image Processing. arXiv:1511.06409v3 |
Roads, B. D. & Mozer, M. C. (2017). Improving human-machine cooperative classification via cognitive theories of similarity. Cognitive Science: A Multidisciplinary Journal, 41, 1394-1411. doi: 10.1111/cogs.12400 [ PDF ] |
Khajah, M., Roads, B. D., Lindsey, R. V., Liu, Y.-E., & Mozer, M. C. (2016). Designing engaging games using Bayesian optimization. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 5571-5582). New York: ACM. doi: 10.1145/2858036.2858253 [ PDF ] |
Roads, B. D., Mozer, M. C., & Busey, T. A. (2016). Using highlighting to train attentional expertise. PLoS ONE, 11(1): e0146266. doi:10.1371/journal.pone.0146266 [ PDF ] |