Showing 1 - 10 results of 10 for search 'ICLR', query time: 0.10s Refine Results
  1. 1
    A Compositional Object-Based Approach to Learning Physical Dynamics

    A Compositional Object-Based Approach to Learning Physical Dynamics by Chang, Michael B., Ullman, Tomer David, Torralba, Antonio, Tenenbaum, Joshua B

    Published 2017
    “…ICLR…”
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  2. 2
    Meta-learning for semi-supervised few-shot classification

    Meta-learning for semi-supervised few-shot classification by Tenenbaum, Joshua B

    Published 2020
    “…ICLR…”
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    Article
  3. 3
    Learning-based frequency estimation algorithms

    Learning-based frequency estimation algorithms by Hsu, Chen-Yu, Indyk, Piotr, Katabi, Dina, Vakilian, Ali

    Published 2021
    “…ICLR…”
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    Article
  4. 4
    The limitations of adversarial training and the blind-spot attack

    The limitations of adversarial training and the blind-spot attack by Chen, Hongge, Boning, Duane S

    Published 2021
    “…ICLR…”
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    Article
  5. 5
    Robustness may be at odds with accuracy

    Robustness may be at odds with accuracy by Tsipras, Dimitris, Santurkar, Shibani (Shibani Vinay), Engstrom, Logan G., Turner, Alexander M., Madry, Aleksander

    Published 2021
    “…ICLR…”
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    Article
  6. 6
    Training for faster adversarial robustness verification via inducing Relu stability

    Training for faster adversarial robustness verification via inducing Relu stability by Xiao, Kai Yuanqing, Tjeng, Vincent, Shafiullah, Nur Muhammad Mahi., Mądry, Aleksander

    Published 2021
    “…ICLR…”
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    Article
  7. 7
    Data parallelism in training sparse neural networks

    Data parallelism in training sparse neural networks by Lee, N, Ajanthan, T, Torr, PHS, Jaggi, M

    Published 2020
    “…ICLR…”
    Conference item
  8. 8
    Infinite-horizon differentiable Model Predictive Control

    Infinite-horizon differentiable Model Predictive Control by East, S, Gallieri, M, Masci, J, Koutnik, J, Cannon, M

    Published 2020
    “…ICLR…”
    Conference item
  9. 9
    Deep inside convolutional networks: visualising image classification models and saliency maps

    Deep inside convolutional networks: visualising image classification models and saliency maps by Simonyan, K, Vedaldi, A, Zisserman, A

    Published 2014
    “…ICLR…”
    Conference item
  10. 10
    Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas

    Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas by Kuo, Yen-Ling, Katz, Boris, Barbu, Andrei

    Published 2022
    “…Center for Brains, Minds and Machines (CBMM), The Ninth International Conference on Learning Representations (ICLR)…”
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