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Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). CoRR, (2020)Locally Linear Landmarks for Large-Scale Manifold Learning., and . ECML/PKDD (3), volume 8190 of Lecture Notes in Computer Science, page 256-271. Springer, (2013)GradMax: Growing Neural Networks using Gradient Information., , , , and . ICLR, OpenReview.net, (2022)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). J. Mach. Learn. Res., (2022)Continual Few-Shot Learning Using HyperTransformers., , and . CoRR, (2023)Fast Training of Nonlinear Embedding Algorithms., and . ICML, icml.cc / Omnipress, (2012)Entropic Affinities: Properties and Efficient Numerical Computation., and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 477-485. JMLR.org, (2013)Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings, and . CoRR, (2012)Linear Transformers are Versatile In-Context Learners., , , and . CoRR, (2024)Fine-tuning Image Transformers using Learnable Memory., , , and . CVPR, page 12145-12154. IEEE, (2022)