| 2024 |
|---|
| Bröker, F., Holt, L. L., Roads, B. D., Dayan, P., & Love, B. C. (2024). Demystifying unsupervised learning: how it helps and hurts. Trends in Cognitive Sciences. doi: https://doi.org/10.1016/j.tics.2024.09.005 |
| Roads, B. D., & Love, B. C. (2024). The Dimensions of Dimensionality. Trends in Cognitive Science. doi: https://doi.org/10.1016/j.tics.2024.07.005 |
| 2023 |
| Aho, K., Roads, B. D., & Love, B. C. (2023). Signatures of cross-modal alignment in children's early concepts. PNAS. https://doi.org/10.1073/pnas.2309688120 |
| Roads, B. D., & Love, B.C. (2023). Modeling Similarity and Psychological Space. Annual Review of Psychology. https://doi.org/10.1146/annurev-psych-040323-115131 |
| Luo, X., Mok, R. M., Roads, B. D., & Love, B. C. (2023). A controller-peripheral architecture and costly energy principle for learning. bioRxiv. https://doi.org/10.1101/2023.01.16.524194 |
| 2022 |
| Dagaev, N., Roads, B. D., Luo, X., Barry, D.N., Patil, K.R. & Love, B. C. (2022). A Too-Good-to-be-True Prior to Reduce Shortcut Reliance. Pattern Recognition Letters. https://doi.org/www.sciencedirect.com/science/article/abs/pii/S0167865522003841 |
| Aho, K., Roads, B. D. & Love, B. C. (2022). System alignment supports cross-domain learning and zero-shot generalisation. Cognition. https://doi.org/10.1016/j.cognition.2022.105200 |
| 2021 |
| Roads, B. D. & Love, B. C. (2021). Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2021, 3547-3557. doi: 10.1109/CVPR46437.2021.00355 |
| Luo, X., Roads, B. D., & Love, B. C. (2021). The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. Computational Brain & Behavior. doi: https://doi.org/10.1007/s42113-021-00098-y [ Open Access ] |
| Roads, B. D. & Mozer, M. C. (2021). Predicting the Ease of Human Category Learning Using Radial Basis Function Networks. Neural Computation. doi: 10.1162/neco_a_01349 [ Link ] [ Preprint ] |
| 2020 |
| Love, B. C. & Roads, B. D. (2020). Similarity as a Window on the Dimensions of Object Representation. Trends 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). 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. |
| 2019 |
| Roads, B. D. & Mozer, M. C. (2019). Obtaining psychological embeddings through joint kernel and metric learning. Behavior Research Methods. doi: 10.3758/s13428-019-01285-3 [ Open Access ] |
| 2018 |
| Roads, B. D., Xu, B., Robinson, J. K., & Tanaka, J. W. (2018). The easy-to-hard training advantage with real-world medical images. Cognitive Research: Principles and Implications, 3(38). doi: 10.1186/s41235-018-0131-6 [ Open Access ] |
| 2017 |
| 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 ] |
| 2016 |
| 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 ] |
| Dissertation |
|---|
| Roads, B. D. (2017). Accelerating human visual concept learning and boosting performance via computational models of perception and cognition. [ PDF ] |
| Preliminary Exam |
| Roads, B. D. (2015). Human-computer cooperation for fine-grained visual categorization. [ PDF ] |