Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Paper › Research › Peer-reviewed
  2. Exploration by random network distillation

    Burda, Y., Edwards, H., Storkey, A. & Klimov, O., 2019. 17 p.

    Research output: Contribution to conferencePaper

  3. How to train your MAML

    Antoniou, A., Edwards, H. & Storkey, A., 2019. 11 p.

    Research output: Contribution to conferencePaper

  4. Interpretable Machine Teaching via Feature Feedback

    Su, S., Chen, Y., Mac Aodha, O., Perona, P. & Yue, Y., 9 Dec 2017. 9 p.

    Research output: Contribution to conferencePaper

  5. It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

    Ruggero Ronchi, M., Mac Aodha, O., Eng, R. & Perona, P., 2 Sep 2018, p. 1-13. 13 p.

    Research output: Contribution to conferencePaper

  6. Large-Scale Study of Curiosity-Driven Learning

    Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T. & Efros, A. A., 2019. 15 p.

    Research output: Contribution to conferencePaper

  7. On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

    Jastrzębski, S., Kenton, Z., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., 2019. 19 p.

    Research output: Contribution to conferencePaper

  8. Sequential Neural Methods for Likelihood-free Inference

    Durkan, C., Papamakarios, G. & Murray, I., 2018, p. 1-9. 9 p.

    Research output: Contribution to conferencePaper

  9. To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions

    Lopez Guevara, T., Pucci, R., Taylor, N., Gutmann, M., Ramamoorthy, S. & Subr, K., 2018. 5 p.

    Research output: Contribution to conferencePaper

  10. Poster › Research › Not peer-reviewed
  11. A model of mechanotransduction in Drosophila non-ciliated, primary endings

    Suslak, T., McKay-Fletcher, J. A., Bewick, G., Armstrong, D. & Jarman, A., 2013.

    Research output: Contribution to conferencePoster

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