The DOI matches its OpenAlex record; 2 of the 2 references it cites were found in a registry or an index.
Visualizing the Loss Landscape of Neural Nets
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Citations
Cites
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Goyal, P., Dollár, P., Girshick, R., Noordhuis, P., Wesolowski, L., Kyrola, A., Tulloch, A., Jia, Y., & He, K. (2017) · arXiv · doi:10.48550/arxiv.1706.02677 · Cited by 2,294
Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks
Soltanolkotabi, M., Javanmard, A., & Lee, J. D. (2019) · IEEE Transactions on Information Theory · doi:10.1109/tit.2018.2854560 · Cited by 356
Cited by
How to backdoor federated learning
Bagdasaryan, E., Veit, A., Hua, Y., Estrin, D., & Shmatikov, V. (2018) · arXiv · doi:10.48550/arxiv.1807.00459 · Cited by 1,495
Improved Knowledge Distillation via Teacher Assistant
Mirzadeh, S. I., Farajtabar, M., Li, A., Levine, N., Matsukawa, A., & Ghasemzadeh, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i04.5963 · Cited by 101
Interpretable machine learning: Fundamental principles and 10 grand challenges
Rudin, C., Chen, C., Chen, Z., Huang, H., Semenova, L., & Zhong, C. (2022) · Statistics Surveys · doi:10.1214/21-ss133 · Cited by 958
TransMorph: Transformer for unsupervised medical image registration
Chen, J., Frey, E. C., He, Y., Segars, W. P., Li, Y., & Du, Y. (2022) · Medical Image Analysis · doi:10.1016/j.media.2022.102615 · Cited by 804
Loss odyssey in medical image segmentation
Ma, J., Chen, J., Ng, M., Huang, R., Li, Y., Li, C., Yang, X., & Martel, A. L. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102035 · Cited by 662
Metadata
- Authors
- Li, H., Xu, Z., Taylor, G., Studer, C., & Goldstein, T.
- Venue
- Repository for Publications and Research Data (ETH Zurich)
- Publisher
- ETH Zurich
- Published
- 2017-12-28
- Volume
- 31
- Pages
- 6391-6401
- OpenAlex
- W2962933129
- Cited by
- 926
- References
- 2
- FWCI
- 40.90
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Visualizing the Loss Landscape of Neural Nets. https://app.cochat.ai/papers/10.3929/ethz-b-000461393
- The paper
- Li, H., Xu, Z., Taylor, G., Studer, C., & Goldstein, T. (2017). Visualizing the Loss Landscape of Neural Nets. Repository for Publications and Research Data (ETH Zurich). https://doi.org/10.3929/ethz-b-000461393
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
