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Who cites «Deep Networks with Stochastic Depth»

168 papers of our library cite it (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← back to «Deep Networks with Stochastic Depth»

  1. Neural Architecture Search with Reinforcement LearningarXiv:1611.01578Barret Zoph, Quoc V. Le2016 · 4,413 citations
  2. Robust Speech Recognition via Large-Scale Weak SupervisionarXiv:2212.04356Alec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,546 citations
  3. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  4. Segment AnythingarXiv:2304.02643Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 960 citations
  5. Patient Knowledge Distillation for BERT Model CompressionarXiv:1908.09355Siqi Sun, Yu Cheng, Zhe Gan, et al.2019 · 947 citations
  6. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleInterspeechArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 807 citations
  7. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  8. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  9. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  10. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  11. Regularizing Neural Networks by Penalizing Confident Output DistributionsarXiv:1701.06548Gabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 496 citations
  12. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
  13. ProxylessNAS: Direct Neural Architecture Search on Target Task and HardwarearXiv:1812.00332Han Cai, Ligeng Zhu, Song Han2018 · 479 citations
  14. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
  15. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
  16. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 299 citations
  17. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  18. Eliciting Latent Predictions from Transformers with the Tuned LensarXiv:2303.08112Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 188 citations
  19. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
  20. SteuerLLM: Local specialized large language model for German tax law analysisarXiv:2602.11081 · Scientific Reports, Volume 16, 2026Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.2026

141 more papers of our library cite it; they have no page here yet.

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