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Machine Learning (stat)

Papers filed under stat.ML on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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9,661 to 9,674 of 9,674

  1. Transformers in Time Series: A Survey

    Qingsong Wen, Tian Zhou, Chaoli Zhang +4

    cs.LGcs.AIeess.SParXiv:2202.07125v52022

  2. QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

    Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8

    cs.LGcs.AIcs.CVarXiv:1806.10293v32018

  3. Deep Learning for Anomaly Detection: A Survey

    Raghavendra Chalapathy, Sanjay Chawla

    cs.LGstat.MLarXiv:1901.03407v22019

  4. Challenges in Representation Learning: A report on three machine learning contests

    Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25

    stat.MLcs.LGarXiv:1307.0414v12013

  5. Hypergraph Neural Networks

    Yifan Feng, Haoxuan You, Zizhao Zhang +2

    cs.LGstat.MLarXiv:1809.09401v32018

  6. Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

    Rahul Dey, Fathi M. Salem

    cs.NEstat.MLarXiv:1701.05923v12017

  7. European Union regulations on algorithmic decision-making and a "right to explanation"

    Bryce Goodman, Seth Flaxman

    stat.MLcs.CYcs.LGarXiv:1606.08813v32016

  8. Mixed Precision Training

    Paulius Micikevicius, Sharan Narang, Jonah Alben +8

    cs.AIcs.LGstat.MLarXiv:1710.03740v32017

  9. Big Self-Supervised Models are Strong Semi-Supervised Learners

    Ting Chen, Simon Kornblith, Kevin Swersky +2

    cs.LGcs.CVstat.MLarXiv:2006.10029v22020

  10. Self-training with Noisy Student improves ImageNet classification

    Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1

    cs.LGcs.CVstat.MLarXiv:1911.04252v42019

  11. Sufficient Dimesion Reduction via Generalized Stein's Lemma

    Ye Tian

    stat.MLcs.LGstat.MEarXiv:2608.15121v12026

  12. The Mythos of Model Interpretability

    Zachary C. Lipton

    cs.LGcs.AIcs.CVarXiv:1606.03490v32016

  13. Large Scale GAN Training for High Fidelity Natural Image Synthesis

    Andrew Brock, Jeff Donahue, Karen Simonyan

    cs.LGstat.MLarXiv:1809.11096v22018

  14. Conditional Generative Adversarial Nets

    Mehdi Mirza, Simon Osindero

    cs.LGcs.AIcs.CVarXiv:1411.1784v12014